# templates

name: Automated Resume Job Matching Engine with Bright Data MCP & OpenAI 4o mini
author_name: Ranjan Dailata
author_username: ranjancse
categories: []
created_at: 2025-05-23T00:01:02.829Z
updated_at: 2025-05-23T00:01:02.829Z
url: https://n8n.io/workflows/4330
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  Notice
  Community nodes can only be installed on self-hosted instances of n8n.

  Who this is for
  The Automated Resume Job Matching Engine is an intelligent workflow designed for career platforms, HR tech startups, recruiting firms, and AI developers who want to streamline job-resume matching using real-time data from LinkedIn and job boards.

  This workflow is tailored for:

  HR Tech Founders** - Building next-gen recruiting products

  Recruiters & Talent Sourcers** - Seeking automated candidate-job fit evaluation

  Job Boards & Portals** - Enriching user experience with AI-driven job recommendations

  Career Coaches & Resume Writers** - Offering personalized job fit analysis

  AI Developers** - Automating large-scale matching tasks using LinkedIn and job data

  What problem is this workflow solving?
  Manually matching a resume to job description is time-consuming, biased, and inefficient. Additionally, accessing live job postings and candidate profiles requires overcoming web scraping limitations.

  This workflow solves:

  Automated LinkedIn profile and job post data extraction using Bright Data MCP infrastructure

  Semantic matching between job requirements and candidate resume using OpenAI 4o mini

  Pagination handling for high-volume job data

  End-to-end automation from scraping to delivery via webhook and persisting the job matched response to disk

  What this workflow does

  Bright Data MCP for Job Data Extraction
  Uses Bright Data MCP Clients to extract multiple job listings (supports pagination)

  Pulls job data from LinkedIn with the pre-defined filtering criteria's

  OpenAI 4o mini LLM Matching Engine
  Extracts paginated job data from the Bright Data MCP extracted info via the MCP scrape_as_html tool.

  Extracts textual job description information via the scraped job information by leveraging the Bright Data MCP scrape_as_html tool.

  AI Job Matching node handles the job description and the candidate resume compare to generate match scores with insights

  Data Delivery
  Sends final match report to a Webhook Notification endpoint

  Persistence of AI matched job response to disk 

  Pre-conditions

  Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - model-context-protocol
  You need to have the Bright Data account and do the necessary setup as mentioned in the Setup section below.
  You need to have the Google Gemini API Key. Visit Google AI Studio
  You need to install the Bright Data MCP Server @brightdata/mcp
  You need to install the n8n-nodes-mcp

  Setup

  Please make sure to setup n8n locally with MCP Servers by navigating to n8n-nodes-mcp
  Please make sure to install the Bright Data MCP Server @brightdata/mcp  on your local machine.
  Sign up at Bright Data.
  Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  Create a Web Unlocker proxy zone called mcp_unlocker on Bright Data control panel.
  In n8n, configure the OpenAi account credentials.
  In n8n, configure the credentials to connect with MCP Client (STDIO) account with the Bright Data MCP Server as shown below.

  Make sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=&lt;your-token&gt;.
  Update the Set input fields for candidate resume, keywords and other filtering criteria's.
  Update the Webhook HTTP Request node with the Webhook endpoint of your choice.
  Update the file name and path to persist on disk.

  How to customize this workflow to your needs

  Target Different Job Boards

  Set input fields with the sites like Indeed, ZipRecruiter, or Monster

  Customize Matching Criteria
  Adjust the prompt inside the AI Job Match node

  Include scoring metrics like skills match %, experience relevance, or cultural fit

  Automate Scheduling
  Use a Cron Node to periodically check for new jobs matching a profile

  Set triggers based on webhook or input form submissions

  Output Customization
  Add Markdown/PDF formatting for report summaries

  Extend with Google Sheets export for internal analytics

  Enhance Data Security
  Mask personal info before sending to external endpoints

nodes_used:
  ["n8n-nodes-base.splitInBatches","n8n-nodes-base.manualTrigger","n8n-nodes-mcp.mcpClient","n8n-nodes-base.set","n8n-nodes-mcp.mcpClient","n8n-nodes-base.splitOut","n8n-nodes-mcp.mcpClient","@n8n/n8n-nodes-langchain.informationExtractor","@n8n/n8n-nodes-langchain.chainLlm","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.function","n8n-nodes-base.httpRequest","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.readWriteFile","@n8n/n8n-nodes-langchain.informationExtractor","@n8n/n8n-nodes-langchain.lmChatOpenAi"]

workflow_json_compressed:
  [encoded data, 5628 characters]

metadata_json:
  {"categories":["automation","integration","data processing","web scraping","AI/machine learning"],"complexity":"complex","use_cases":["Automated resume-to-job semantic matching","Aggregating and scraping job postings (LinkedIn and other boards)","Recruiter/talent sourcer candidate-job fit evaluation","Enriching job boards with AI-driven recommendations","Automating pipeline from scraping to webhook delivery and disk persistence"],"estimated_setup_minutes":90,"required_services":["Bright Data MCP (Web Unlocker zone & proxies)","n8n self-hosted with n8n-nodes-mcp installed","Bright Data MCP Server (@brightdata/mcp) running locally","OpenAI (4o mini) credentials or compatible LLM endpoint","(Optional) Google Gemini API Key (mentioned in setup)","Webhook endpoint for notifications","Local filesystem access for persistence"],"key_features":["Bright Data MCP-based scraping with pagination support","scrape_as_html extraction and structured job data parsing","Semantic matching using OpenAI 4o mini (LLM Matching node)","Customizable matching prompts and scoring metrics","Batch processing and pagination handling with splitInBatches node support」「Webhook delivery of final match reports and disk persistence of results"],"target_audience":["HR tech founders","Recruiters & talent sourcers","Job board operators and portals」「Career coaches & resume writers」「AI developers and data engineers integrating scraping+LLM workflows"]}


name: 🧾 Automated Invoice Processing with Mistral OCR + GPT-4o-mini
author_name: Badr
author_username: b4dr
categories: []
created_at: 2025-05-23T00:02:23.416Z
updated_at: 2025-05-23T00:02:23.416Z
url: https://n8n.io/workflows/4331
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  Automate the management of your invoices with this intelligent, end-to-end AI-powered workflow.

  This advanced n8n workflow combines Mistral AI's powerful OCR capabilities with OpenAI's GPT-4o-mini to automatically extract, structure, and process invoice data with exceptional accuracy and minimal setup.

  🔍 Key Features

  ✅ Advanced Document Processing - Leverages Mistral's state-of-the-art OCR technology specifically optimized for complex document formats

  ✅ AI-Powered Data Structuring - Uses OpenAI's GPT-4o-mini to intelligently identify and organize invoice elements 

  ✅ Multi-Page Support - Seamlessly processes invoices of any length with precise page handling

  ✅ Fully Automated Workflow - From detection to structured data in seconds, with zero manual intervention

  ✅ Custom JSON Schema - Extracts comprehensive invoice data including vendor details, line items, and financial summaries

  📋 Extracted Data Includes

  Vendor & customer information

  Invoice numbers, dates, and payment terms

  Line items with descriptions, quantities, and prices

  Financial totals and transaction breakdowns

  User accounts and query details

  🔧 Implementation Details

  This workflow demonstrates how to:

  Monitor Google Drive for new invoice uploads

  Convert documents to Base64 for API processing

  Make authenticated calls to Mistral's specialized OCR API

  Process and combine multi-page document text

  Use AI agents with customized system prompts for data extraction

  Parse unstructured text into standardized JSON schemas

  🚀 Getting Started

  Sign up for a Mistral AI account: https://console.mistral.ai/

  Configure your OpenAI API key for GPT-4o-mini access

  Set up your Google Drive credentials

  Import this workflow and run!

  💡 Real-World Use Cases

  Finance Teams: Automate invoice processing and approval workflows

  Accounting Departments: Extract data for bookkeeping systems

  Expense Management: Process vendor invoices with minimal manual effort

  Document Management: Convert physical or PDF invoices into structured data

  Business Intelligence: Analyze spending patterns across vendors and categories

  Take your document processing to the next level by combining specialized OCR technology with advanced AI language models!

  #invoice-processing #ocr #mistral-ai #openai #gpt4o #document-extraction #ai-automation #finance-automation

nodes_used:
  ["n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.googleDrive","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.splitOut","n8n-nodes-base.set","n8n-nodes-base.summarize","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.extractFromFile"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","document-processing","ocr","ai-integration","finance"],"complexity":"complex","use_cases":["Automated invoice extraction and indexing","Accounts payable automation and approval workflows","Expense management and reconciliation","Feeding structured invoice data into ERP/Accounting systems","Business intelligence on vendor spend"],"estimated_setup_minutes":30,"required_services":["Mistral AI (OCR API)","OpenAI (GPT-4o-mini)","Google Drive (or equivalent file storage)","n8n instance with HTTP/Webhook access"],"key_features":["Mistral OCR for high-accuracy, multi-page document text extraction","GPT-4o-mini for intelligent data structuring and schema mapping","Automated Google Drive monitoring for new invoice uploads","Base64 conversion and multi-page aggregation","Custom JSON schema extraction for vendor, line-items, totals, and terms"],"target_audience":["Finance teams","Accounting departments","Automation/DevOps engineers implementing workflows in n8n\",\"Data engineers and analysts working with document data"]}


name: TradingView Signal Extractor with Gmail, Google Sheets & Telegram Notifications
author_name: Dhrumil Patel
author_username: itechdp
categories: []
created_at: 2025-05-23T07:57:01.872Z
updated_at: 2025-05-23T07:57:01.872Z
url: https://n8n.io/workflows/4334
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  Stay ahead in your trading game with this powerful n8n automation workflow. Designed for real-time efficiency, this setup continuously scans your Gmail inbox for trading alerts from TradingView and ensures you never miss a signal.

  Every minute, this workflow will:

  📩 Check Gmail for new messages using a trigger.
  🔍 Identify emails coming specifically from TradingView.
  📊 Extract key trading signals like BUY or SELL along with the company name.
  🕒 Capture the exact date and time of the alert.
  📄 Log all extracted signals neatly into a Google Sheet for easy tracking and analysis.
  📲 Instantly notify you on Telegram with a custom message so you can act fast.

  Perfect for traders who want an automated assistant to handle alerts, record them for analysis, and provide timely updates — all without lifting a finger.

nodes_used:
  ["n8n-nodes-base.code","n8n-nodes-base.gmail","n8n-nodes-base.telegram","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.googleSheets","n8n-nodes-base.dateTime","n8n-nodes-base.dateTime","n8n-nodes-base.gmail","n8n-nodes-base.stickyNote","n8n-nodes-base.gmailTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","integration","data processing"],"complexity":"medium","use_cases":["Real-time trading alert monitoring","Automated logging of trade signals for analysis/backtesting","Instant mobile notifications of BUY/SELL alerts","Centralized archival of TradingView emails in a spreadsheet"],"estimated_setup_minutes":20,"required_services":["Gmail (Google account)","Google Sheets","Telegram (bot/token)","TradingView (email alerts configured)"],"key_features":["Periodic Gmail trigger (every minute)","Filter emails from TradingView","Parse BUY/SELL signal and company name from email content","Capture alert timestamp","Append structured entries to Google Sheets row-by-row for tracking/analysis ￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼](Note: ensure Google Sheets columns match parsed fields)"],"target_audience":["Retail traders and investors","Trading analysts and researchers","Algo traders building simple signal pipelines ￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼￼"]}


name: Automatically update n8n version
author_name: Weilun
author_username: lun
categories: []
created_at: 2025-05-23T08:39:54.420Z
updated_at: 2025-05-23T08:39:54.420Z
url: https://n8n.io/workflows/4335
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  🔄 n8n Workflow: Check and Update n8n Version

  This workflow automatically checks if the local n8n version is outdated and, if so, creates a file to signal an update is needed.

  🖥️ Working Environment

  Operating System:** Ubuntu 24.04  
  n8n Installation:** Docker container

  📁 Project Directory Structure
  n8n/
  ├── check_update.txt
  ├── check-update.sh
  ├── compose.yml
  ├── update_n8n.cron

  🧾 File Descriptions

  check_update.txt

  Contains a single word:

  true: Update is needed  
  false: No update required

  check-update.sh

  #!/bin/bash
  PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

  if grep -q "true" /home/sysadmin/n8n/check_update.txt; then
  Place your update logic here
      echo "Update needed - please insert update logic"
      echo true &gt; /home/sysadmin/n8n/check_update.txt
  fi
  Purpose:

  Checks the contents of check_update.txt
  If it contains true, executes update logic (currently a placeholder)
  Resets check_update.txt to true
  update_n8n.cron

  SHELL=/bin/sh
  10 5 * * * /bin/sh /home/sysadmin/n8n/check-update.sh
  Purpose:

  Runs the check-update.sh script daily at 5:10 AM
  Uses /bin/sh as the shell environment

  🧩 n8n Workflow Breakdown

  1. Schedule Trigger 🕓
  Purpose:** Triggers the workflow every day at 5:00 AM  
  Node Type:** Schedule Trigger

  2. Get the latest n8n version 🌐
  Purpose:** Fetches the latest version of n8n from npm  
  Endpoint:** https://registry.npmjs.org/n8n/latest  
  Node Type:** HTTP Request

  3. Get Local n8n version 🖥️
  Purpose:** Retrieves the currently running n8n version  
  Endpoint:** http://192.168.100.18:5678/rest/settings  
  Node Type:** HTTP Request

  4. If 🔍
  Purpose:** Compares the local and latest versions  
  Condition:** If not equal → update is needed

  5. SSH1 🧾
  Purpose:** Writes the result to a file on the host via SSH  
  Logic:**

  echo "{{ $('If').params.conditions ? 'false' : 'true' }}" &gt; check_update.txt
  Effect: Updates check_update.txt with "true" if an update is needed, "false" otherwise.

  🛠️ Setting up Crontab on Ubuntu
  1.  Register the cron job with:
  crontab update_n8n.cron
  2.  Verify that your cron job is registered:
  crontab -l
  ✅ Result

  5:00 AM** – n8n workflow checks versions and writes result to check_update.txt  
  5:10 AM** – Cron runs check-update.sh to respond to update flag

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.ssh","n8n-nodes-base.httpRequest","n8n-nodes-base.if"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","system administration","devops","integration"],"complexity":"medium","use_cases":["Detect when n8n release is newer than local installation","Trigger/flag host-side update logic via file-based signaling","Automate routine version checks on schedule","Integrate n8n workflow checks with host cron-driven update scripts"],"estimated_setup_minutes":15,"required_services":["npm registry (https://registry.npmjs.org)","n8n REST API endpoint on host (e.g. http://<host>:5678/rest/settings)","SSH access to host filesystem","Host cron service (crontab)","Docker (if n8n runs in container)"],"key_features":["Scheduled daily check for latest n8n version","Fetch latest npm package metadata via HTTP","Query local n8n version via REST API","Compare versions and decide if update is needed","Write a flag file on host via SSH to signal update script/crontab"],"target_audience":["Sysadmins","DevOps / Platform engineers","n8n operators and maintainers"]}


name: Webhook-enabled AI PDF analyzer
author_name: n8n Team
author_username: n8n-team
categories: []
created_at: 2025-05-23T09:04:13.777Z
updated_at: 2025-05-23T09:04:13.777Z
url: https://n8n.io/workflows/4336
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  Who this template is for

  This template is for researchers, students, professionals, or content creators who need to quickly extract and summarize key insights from PDF documents using AI-powered analysis.

  Use case

  Converting lengthy PDF documents into structured, digestible summaries organized by topic with key insights. This is particularly useful for processing research papers, reports, whitepapers, or any document where you need to quickly understand the main topics and extract actionable insights without reading the entire document.

  How this workflow works

  Document Upload: Receives PDF files through a POST endpoint at /ai_pdf_summariser
  File Validation: Checks that the PDF is under 10MB and has fewer than 20 pages to meet API limits
  Content Extraction: Extracts text content from the PDF file
  AI Analysis: Uses OpenAI's GPT-4o-mini to analyze the document and break it down into distinct topics
  Insight Generation: For each topic, generates 3 key insights with titles and detailed explanations
  Format Response: Converts the structured data into markdown format for easy reading
  Return Results: Provides the formatted summary along with document metadata (file hash)

  Set up steps

  Configure OpenAI API: Set up your OpenAI credentials for the GPT-4o-mini model
  Deploy Webhook: The workflow automatically creates a POST endpoint at /ai_pdf_summariser
  Test Upload: Send a PDF file to the endpoint using a multipart/form-data request
  Adjust Limits: Modify the file size (10MB) and page count (20) validation limits if needed based on your requirements
  Customize Prompts: Update the system prompt in the Information Extractor node to change how topics and insights are generated

  The workflow includes comprehensive error handling for file validation failures (400 error) and processing errors (500 error), ensuring reliable operation even with problematic documents.

nodes_used:
  ["n8n-nodes-base.noOp","n8n-nodes-base.respondToWebhook","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.extractFromFile","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.informationExtractor","n8n-nodes-base.set","n8n-nodes-base.respondToWebhook","n8n-nodes-base.respondToWebhook","n8n-nodes-base.crypto","n8n-nodes-base.webhook","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.lmChatOpenAi"]

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metadata_json:
  {"categories":["automation","document processing","data processing","AI/ML","integration"],"complexity":"medium","use_cases":["Summarize research papers, reports, and whitepapers into topic-organized summaries","Quickly extract key insights for literature reviews or academic research","Create digestible summaries for content creation or briefing materials","Automate document triage and highlight actionable findings","Generate markdown-formatted summaries for publishing or note-taking"],"estimated_setup_minutes":15,"required_services":["OpenAI API (GPT-4o-mini)","n8n instance (self-hosted or n8n.cloud) to host the webhook"],"key_features":["POST webhook endpoint (/ai_pdf_summariser) for PDF uploads","File validation (max 10MB, max 20 pages) with 400 errors on failure","Text extraction from PDF","AI-driven topic segmentation and analysis using GPT-4o-mini","Generates 3 key insights per topic with titles and explanations per topic node configuration options to modify prompts and limits)\""],"target_audience":["researchers","students","professionals (analysts, consultants, policy researchers, etc.)\""]}


name: N8N Contact Form Workflow
author_name: Akhil Varma Gadiraju
author_username: akhilv7
categories: []
created_at: 2025-05-23T09:19:42.519Z
updated_at: 2025-05-23T09:19:42.519Z
url: https://n8n.io/workflows/4337
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  📬 N8N Contact Form Workflow: Capture, Notify via Email, and Redirect with Confirmation/Error Handling

  This n8n workflow facilitates contact form submissions through a customizable form that sends an email notification to support and redirects users based on the submission outcome. It is ideal for embedding a functional "Contact Us" form on websites with automated email notifications.

  ✨ Features

  Collects first name, last name, email, company name, and a message
  Sends formatted email notification to the support team
  Displays success or error confirmation to the user
  Customizable UI and form behavior
  Error fallback handling with user-friendly feedback

  🧩 Nodes Overview

  1. On form submission (Trigger)
  Type:** formTrigger
  Displays the contact form to users and triggers the workflow on submission.

  2. Send Email to Support
  Type:** emailSend
  Sends an HTML email to a support address with the form details.
  Uses an SMTP credential for sending.

  3. If Email Sent
  Type:** if
  Checks if the email was sent successfully using the existence of messageId.

  4. Confirmation Form
  Type:** form
  Displays a “Thank You” HTML message after a successful submission.

  5. Redirect Form
  Type:** form
  Redirects the user to a specified URL (e.g., LinkedIn profile).

  6. Form (Error)
  Type:** form
  Displays an error message if email delivery fails.

  7. NoOp Nodes
  End (Success)* and *End (Error)** to mark flow terminations cleanly.

  ⚙️ Customization Options

  Change the form fields, title, or descriptions in the formTrigger node.
  Update the email body or subject in the emailSend node.
  Redirect to a different URL by editing the Redirect Form node.
  Modify success and error UI with HTML content in the Confirmation Form and Form.

  🧠 Use Cases

  Website "Contact Us" form integration
  Lead generation forms for businesses
  Customer service inquiry collection
  Feedback or support ticket system

  🚀 How to Use

  Import this workflow into your n8n instance.
  Configure SMTP credentials for the emailSend node.
  Publish the formTrigger endpoint (e.g., /contact-us) publicly or embed in your website.
  Test submission and confirm email delivery and redirects.

  🔐 Notes

  Ensure SMTP credentials are correctly configured in n8n.
  Make sure your n8n webhook URLs are reachable from your website or frontend.

  Made with ❤️ using n8n by Akhil.

nodes_used:
  ["n8n-nodes-base.formTrigger","n8n-nodes-base.form","n8n-nodes-base.form","n8n-nodes-base.if","n8n-nodes-base.emailSend","n8n-nodes-base.form","n8n-nodes-base.noOp","n8n-nodes-base.noOp","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  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

metadata_json:
  {"categories":["automation","integration","web forms","communication"],"complexity":"simple","use_cases":["Website contact-us form integration","Lead generation form submission","Customer service inquiry collection","Feedback or support ticket intake","Basic form-to-email notifications"],"estimated_setup_minutes":15,"required_services":["n8n instance (self-hosted or n8n.cloud)","SMTP / email provider (SMTP credentials)","Website or frontend to publish/embed the form / public webhook endpoint"],"key_features":["Collects name, email, company, and message fields","Sends formatted HTML email notifications via SMTP","Displays success or error confirmation to users","Redirects users after successful submission","Customizable form UI and email content in n8n nodes"],"target_audience":["Developers implementing site forms","Website owners and operators","Customer support teams receiving inquiries"]}


name: N8N Backup Flow to Nextcloud (7-Day Retention)
author_name: Joachim Hummel
author_username: jhummel
categories: []
created_at: 2025-05-23T09:21:20.581Z
updated_at: 2025-05-23T09:21:20.581Z
url: https://n8n.io/workflows/4338
scraped_at: 2025-09-14 19:11:02
metadata_generated_at: 2025-09-14 21:18:33
description:
  This workflow automates the daily backup of all your n8n workflows to a designated folder in Nextcloud. It ensures that you always have the last 7 days of backups available while automatically deleting older ones to save space.


  🔧 Features

      Scheduled Trigger: Runs automatically once per day (can be executed manually as well).

      Directory Management: Creates the /N8N-Backup directory in Nextcloud if it doesn't already exist.

      Backup Collection: Retrieves all workflows from the n8n instance.

      JSON Conversion: Converts each workflow into a JSON file.

      Upload to Nextcloud: Saves each backup file into the specified backup directory.

      Retention Control: Keeps only the latest 7 backups and deletes the rest from Nextcloud.

  📌 Notes

      Make sure to manually create the /N8N-Backup directory in your Nextcloud account before using this flow.

      Update the Backup Path node if you wish to change the upload directory.

      Ideal for teams using n8n with self-hosted instances and requiring offsite backup via Nextcloud.

  🔒 Requirements

      n8n instance with access to the Nextcloud node.

      Valid credentials for your Nextcloud account with API access.


  Update: 08/11/2025 “Backup Flows to Nextcloud” – Import format fixed

  Summary:
  The workflow now exports one clean JSON object per workflow (no arrays, no backup/meta fields), so files can be imported 1:1 via the n8n UI.

  What changed:

      Switched from “Convert to File” to a Set node that builds the JSON in binary data.

      Enabled filters.include = "all" on Get many workflows to include nodes, connections, settings, pinData, and tags.

      Sanitized filenames and removed IDs/metadata that can break UI imports.

      Fixed Nextcloud path and binary property mapping (data).

  Verification:

      Generated multiple backups and imported each via UI (“Import from file”) without errors.

      Each file begins with { (single object) and loads with full workflow structure.

  Notes:

      Keep “Binary Property” set to data in the Nextcloud node.

      Filenames are sanitized to avoid special-character issues.

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.n8n","n8n-nodes-base.splitInBatches","n8n-nodes-base.sort","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-base.nextCloud","n8n-nodes-base.nextCloud","n8n-nodes-base.nextCloud","n8n-nodes-base.code","n8n-nodes-base.nextCloud","n8n-nodes-base.code"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","backup","integration","cloud-storage"],"complexity":"medium","use_cases":["Daily automated backups of n8n workflows to Nextcloud","Offsite disaster recovery and versioned workflow retention","Exporting workflows for migration or manual import","Keeping a rolling 7-day backup history to save space"],"estimated_setup_minutes":15,"required_services":["Nextcloud (WebDAV/API access with valid credentials)","n8n instance with Nextcloud node enabled"],"key_features":["Scheduled daily trigger (manual run supported)","Creates/uses /N8N-Backup directory in Nextcloud","Exports each workflow as a single clean JSON object (UI-importable)","Sanitizes filenames and strips problematic IDs/metadata","Uploads binary JSON files to Nextcloud (binary property = data)"],"target_audience":["n8n self-hosted administrators","DevOps/operations teams","Automation engineers and workflow authors','Small teams needing offsite backups"]}


name: Generate Qualified Leads from LinkedIn with Apify, GPT- 4, and Airtable
author_name: Javier Hita
author_username: javierhita
categories: []
created_at: 2025-05-23T09:34:15.179Z
updated_at: 2025-05-23T09:34:15.179Z
url: https://n8n.io/workflows/4340
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  Who is this for?

  This workflow is perfect for sales teams, business development professionals, recruitment agencies, and fractional CFO service providers who need to identify and qualify companies actively hiring. Whether you're prospecting for new clients, building a database of potential customers, or researching market opportunities, this automated solution saves hours of manual research while delivering high-quality, AI-analyzed leads.

  What problem is this workflow solving?

  Finding qualified prospects in the finance sector is time-consuming and often inefficient. Traditional methods involve:
  Manually browsing LinkedIn job postings for hours
  Difficulty distinguishing between genuine opportunities and recruitment spam
  Inconsistent lead categorization and qualification
  Risk of contacting the same companies multiple times
  Lack of structured data for sales team follow-up

  This workflow automates the entire lead generation process, from data collection to AI-powered qualification, ensuring you focus only on the most promising opportunities.

  What this workflow does

  This comprehensive lead generation system performs six key functions:

  Automated LinkedIn Job Scraping: Uses Apify's reliable LinkedIn Jobs Scraper to extract detailed job postings for finance positions, including company information, job descriptions, and contact details.

  Smart Data Processing: Removes duplicates, filters companies by size, and structures data for consistent analysis across all leads.

  Intelligent Lead Categorization: Compares new leads against your existing database to optimize processing and avoid duplicate work.

  AI-Powered Qualification: Leverages OpenAI's GPT-4 Mini to analyze each lead and determine:
     Company Category: Consumer companies, Fractional CFO services, Recruiting agencies, or Other
     Finance Role Validation: Confirms the position is genuinely finance-related
     Seniority Level: Entry, Mid, Senior, Director, or C-Level classification
     Job Summary: Concise description for quick sales team review

  Automated Database Management: Stores qualified leads in Airtable with comprehensive profiles, preventing duplicates while maintaining data integrity.

  Lead Scoring & Routing: Prioritizes leads based on processing status and qualification results for efficient sales team follow-up.

  Setup

  Prerequisites

  You'll need accounts for three services:

  Airtable** (Free tier supported) - For lead storage and management
  Apify** (14-day free trial available) - For LinkedIn job scraping
  OpenAI** (Pay-per-use) - For AI-powered lead analysis

  Step 1: Create Required Credentials

  Apify API Credential
  Sign up for an Apify account at apify.com
  Navigate to Settings → Integrations → API tokens
  Create a new API token
  In n8n, create a new Apify API credential with your token

  OpenAI API Credential
  Create an account at platform.openai.com
  Generate an API key in the API section
  In n8n, create a new OpenAI credential with your key

  Airtable Personal Access Token
  Go to airtable.com/create/tokens
  Create a personal access token with the following scopes:
     data.records:read
     data.records:write
     schema.bases:read
  In n8n, create a new Airtable Personal Access Token credential

  Step 2: Set Up Airtable Base

  Create a new Airtable base with the following structure:

  Table Name: Qualified Leads

  Required Fields:
  Company Name (Single line text)
  Job Title (Single line text) 
  Is Finance Job (Checkbox)
  Seniority Level (Single select: Entry, Mid, Senior, Director, C-Level)
  Company Category (Single select: Consumer, Recruiting, Fractional CFO, Other)
  Job Summary (Long text)
  Company LinkedIn (URL)
  Job Link (URL)
  Posted Date (Date)
  Location (Single line text)
  Industry (Single line text)
  Company Employees (Number)

  Step 3: Configure the Workflow

  Import the Workflow: Copy the JSON and import it into your n8n instance
  Update Credentials: Replace placeholder credential IDs with your actual credential IDs in:
     "Scrape LinkedIn Jobs" node (Apify credential)
     "OpenAI GPT-4 Mini" node (OpenAI credential) 
     "Save to Airtable" and "Get Existing Leads" nodes (Airtable credential)
  Configure Airtable Connection: Update the base ID and table ID in both Airtable nodes
  Set Search Parameters: In the "Edit Variables" node, configure:
     linkedinUrls: Your target LinkedIn job search URLs
     maxEmployees: Maximum company size filter (default: 200)
     batchSize: Processing batch size for API efficiency (default: 5)

  Step 4: Test the Workflow

  Start with a small test by setting count: 50 in the HTTP Request node
  Use a specific LinkedIn job search URL (e.g., "CFO jobs in New York")
  Execute the workflow manually and verify results in your Airtable base
  Review the AI categorization accuracy and adjust prompts if needed

  How to customize this workflow to your needs

  Targeting Different Roles
  Modify the LinkedIn search URLs in the "Edit Variables" node to target different positions:
  "https://www.linkedin.com/jobs/search/?keywords=Controller"
  "https://www.linkedin.com/jobs/search/?keywords=Finance%20Director"  
  "https://www.linkedin.com/jobs/search/?keywords=VP%20Finance"

  Adjusting Company Size Filters
  Change the maxEmployees parameter to focus on different company segments:
  Startups: 1-50 employees
  SMBs: 51-500 employees  
  Enterprise: 500+ employees

  Customizing AI Analysis
  Enhance the GPT-4 prompt in the "AI Lead Analyzer" node to include:
  Industry-specific criteria
  Geographic preferences
  Technology stack requirements
  Company growth stage indicators

  Integration Options
  Extend the workflow by adding:
  Slack notifications** for new qualified leads
  Email alerts** for high-priority prospects
  CRM integration** (Salesforce, HubSpot, Pipedrive)
  Lead enrichment** with additional data sources

  Scheduling Automation
  Set up the workflow to run automatically:
  Daily**: For active prospecting campaigns
  Weekly**: For ongoing market research
  Monthly**: For periodic database updates

  Performance & Cost Optimization

  API Efficiency**: The workflow processes leads in batches to optimize API usage
  Smart Deduplication**: Avoids re-processing existing leads to reduce costs
  Configurable Limits**: Adjust batch sizes and employee count filters based on your needs
  Expected Costs**: Approximately $0.05-$0.20 per 100 analysed leads (OpenAI costs)

  Troubleshooting

  Common Issues:
  Rate Limiting**: Increase delays between API calls if you encounter rate limits
  Data Quality**: Review LinkedIn search URLs for relevance to your target market
  AI Accuracy**: Adjust prompts if categorisation doesn't match your criteria
  Airtable Errors**: Verify field names match exactly between workflow and base structure

  Support Resources:
  Apify LinkedIn Scraper Documentation
  OpenAI API Documentation
  Airtable API Reference

  Transform your lead generation process with this powerful, AI-driven workflow that delivers qualified prospects ready for immediate outreach.

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.splitOut","n8n-nodes-base.removeDuplicates","n8n-nodes-base.set","n8n-nodes-base.airtable","n8n-nodes-base.code","n8n-nodes-base.switch","n8n-nodes-base.filter","n8n-nodes-base.splitInBatches","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.airtable","n8n-nodes-base.noOp","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 5956 characters]

metadata_json:
  {"categories":["lead generation","integration","data processing","automation","sales enablement"],"complexity":"medium","use_cases":["Automated LinkedIn lead scraping for finance roles","AI-powered lead qualification and prioritization","Building and maintaining a deduplicated lead database","Recruitment market research and prospecting","Targeted outreach list creation for sales teams"],"estimated_setup_minutes":45,"required_services":["Apify (LinkedIn Jobs Scraper)","OpenAI (GPT-4 Mini)","Airtable"],"key_features":["Automated LinkedIn job scraping","Duplicate removal and company-size filtering","AI classification: company category, finance-role validation, seniority, job summary","Batch processing for API efficiency and rate-limit management","Automated storage and deduplication in Airtable with lead scoring/routing options"],"target_audience":["Sales teams","Business development professionals","Recruiters and staffing agencies/fractional CFO providers','Growth/marketing teams"]}


name: AI-Powered MIS Agent
author_name: Kumar Shivam
author_username: shivam840708
categories: []
created_at: 2025-05-23T11:19:07.764Z
updated_at: 2025-05-23T11:19:07.764Z
url: https://n8n.io/workflows/4341
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:33
description:
  The AI-powered MIS Agent is an intelligent, automated system built using n8n that streamlines email-based data collection and document organization for businesses. It classifies incoming emails, extracts and processes attachments or Drive links, and routes them to the correct destination folders in Google Drive. Additionally, it provides advanced file operations like cleaning, merging, joining, and transforming data.

  Advantages
  📥 Automated Email and File Management
  Detects and processes emails containing attachments or Drive links, ensuring seamless classification and routing of business-critical files.

  🧠 AI-Based Classification
  Uses LLMs (like GPT-4o Mini) to classify emails into categories such as Daily Sales, Customer Info, and Address based on their content.
  📂 Smart File Routing and Upload
  Recognizes whether a file is a direct attachment or a Google Drive link, extracts the file ID if necessary, and uploads it to predefined folders.
  📊 Powerful Data Operations
  Supports operations like append, join, group by, aggregation, and standardization of data directly from spreadsheets using Python and Pandas within the workflow.

  🔁 Scheduled and Triggered Automation
  Supports scheduled runs and real-time email triggers, making it highly reliable and timely.

  🔧 Fully Modular and Scalable
  Easily expandable with more logic, new folders, or different workflows. Clean architecture and annotations make maintenance simple.

  How It Works
  Email Trigger
  The system uses a Gmail trigger to monitor incoming emails with specific labels or attachments.

  Classification
  An LLM-based text classifier identifies the purpose of the email (e.g., sales data, address list, customer details).

  Conditional Logic
  Regex-based conditions check if the email contains Google Drive links or attachments.

  File Handling
  If it's a Drive link, it extracts the file ID and copies it to the correct folder. If it's an attachment, it uploads directly.

  Scheduled Data Management
  Periodically moves or logs files from predefined folders using a schedule trigger.

  Data Cleaning and Processing
  Performs data cleaning and transformation tasks like replacing missing values, standardizing formats, and joining datasets based on criteria provided by the user.

  Final Output
  Cleaned and processed files are saved in designated folders with their public links shared back through the system.

  Set Up Steps
  Configure Nodes:
  Gmail Trigger: Detects relevant incoming emails.

  Text Classifier: Uses OpenAI model to categorize email content.

  Regex Conditions: Determine whether a link or attachment is present.

  Google Drive Operations: Upload or copy files to categorized folders.

  Python Nodes: Handle data manipulation using Pandas.

  Google Sheets Nodes: Extract, clean, and write structured data.

  LLM-based Chat Models: Extract and apply cleaning configurations.

  Connect Nodes:
  Seamlessly connect Gmail inputs, classification, file processing, and data logic.

  Output links or processed files are uploaded back to Drive and ready to share.

  Credentials:
   Ensure OAuth credentials for Gmail, Google 
   Drive, and OpenAI are correctly set.

  Ideal For
  Sales & CRM teams managing large volumes of email-based reports.

  Data teams needing structured pipelines from unstructured email inputs.

  Businesses looking to automate classification, storage, and transformation of routine data.

  Testing and Additional customization

  If you want to test this bot capability 
    before purchasing the workflow.
    ask me on my mail 
    kumar.shivam19oce@gmail.com
    I will share the chat url and the links of 
    associated google drives to see the result
    once you are satisfied then we are good to 
    go.
    I have just kept $1 for testing purposes 
    because of paid open ai .
    

   -If there is any customization needed like charts and other request like adding databases feel free to let me know i can do it accordingly.

  This is the first version i will come with more advancements based on the request and responses.

  Use it and let me know on kumar.shivam19oce@gmail.com

nodes_used:
  ["n8n-nodes-base.gmailTrigger","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.gmail","n8n-nodes-base.googleDrive","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.textClassifier","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.stickyNote","n8n-nodes-base.executeWorkflowTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.googleDrive","n8n-nodes-base.code","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.chatTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.merge","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.googleDrive","n8n-nodes-base.wait","n8n-nodes-base.googleSheets","n8n-nodes-base.googleSheets","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.merge","n8n-nodes-base.wait","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.convertToFile","n8n-nodes-base.googleDrive","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.set","n8n-nodes-base.googleSheets","n8n-nodes-base.set","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.convertToFile","n8n-nodes-base.googleDrive","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.if","n8n-nodes-base.googleSheets","n8n-nodes-base.set","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.textClassifier","@n8n/n8n-nodes-langchain.informationExtractor","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.googleSheetsTool","@n8n/n8n-nodes-langchain.toolWorkflow","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.toolCalculator","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.vectorStorePinecone","n8n-nodes-base.stickyNote","n8n-nodes-base.splitInBatches","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.postgres","n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.postgresTool","@n8n/n8n-nodes-langchain.embeddingsOpenAi","n8n-nodes-base.googleSheets","n8n-nodes-base.set","n8n-nodes-base.code","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.switch","n8n-nodes-base.code","n8n-nodes-base.switch","n8n-nodes-base.convertToFile","n8n-nodes-base.googleDrive","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.manualTrigger"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","integration","data processing","AI classification","document management"],"complexity":"complex","use_cases":["Automated ingestion and classification of incoming emails and attachments","Routing and organizing files into Google Drive folders based on content","Cleaning, merging, aggregating and transforming spreadsheet data (ETL)","Scheduled archival or batch processing of files","Generating and sharing public links to processed files"],"estimated_setup_minutes":90,"required_services":["Gmail (Google Workspace) API","Google Drive API","Google Sheets API","OpenAI (or compatible LLM) API","n8n host with Code/Python node (Pandas) support"],"key_features":["Gmail trigger to detect labeled emails, attachments, or Drive links","LLM-based text classifier for email categorization","Regex-based branching to detect attachments vs Drive links","Automatic extraction of Drive file IDs and copying/uploading to target folders","Python (Pandas) nodes for advanced data cleaning, joining, aggregation and transformation, driven by LLM-configured rulessheets/configs (via Sheets nodes or prompts)"],"target_audience":["Sales & CRM teams processing recurring reports","Data teams and analysts needing structured ETL from emails","Operations or admin teams managing document intake and filing workflows"]}


name: Auto-Post LinkedIn Updates from Spreadsheet Topics using GPT-4o
author_name: Amit Mehta
author_username: amitswba
categories: []
created_at: 2025-05-23T12:58:58.513Z
updated_at: 2025-05-23T12:58:58.513Z
url: https://n8n.io/workflows/4344
scraped_at: 2025-09-14 19:11:02
metadata_generated_at: 2025-09-14 21:18:33
description:
  How it works:
  This workflow automates the entire LinkedIn content distribution process — from AI-powered post creation to auto-posting on both personal LinkedIn profiles and LinkedIn groups, using GPT-4o and Google Sheets as the content source and control panel.

  Auto-generates professional LinkedIn posts from spreadsheet topics using GPT-4o.
  Posts to your LinkedIn profile and multiple groups.
  Updates status to avoid duplicate posting.
  Fully customizable and reusable with your spreadsheet.

  Set up Steps
  Create and Upload the Spreadsheet
  	Name it: Linkedin Post
  	Sheet1 (for post topics): Columns: ID | Linkedin Post Title | Status
  	Add post titles under Linkedin Post Title
  	Set Status to Pending
  	Create new sheet name as "Groups" (for group distribution): Column: GroupIds
  	Add LinkedIn Group IDs, one per row

  Connect Google Sheets Nodes
  	Connect your Google account to these nodes:
  		Linkedin Post topic (Reads post topics)
  		Get group id (Reads LinkedIn groups)
  		Update Status (Writes back the status after posting)

  Configure GPT-4o (OpenAI)
  	Add your OpenAI API key in the Linkedin Post creator node
  	This node will generate high-quality content from your topic titles

  Connect LinkedIn Account
  	Add your LinkedIn credentials in the Linkedin user detail node
  	Ensure appropriate permissions to post on profile and groups

  Activate the Workflow : Once live, the workflow will:
  	Monitor the Google Sheet for Pending posts.
  	Generate content via GPT-4o.
  	Post to:
  		Your LinkedIn Profile
  		Each LinkedIn Group listed in the Groups sheet
  	Update the post Status to Posted

  Customization Tips
  Want to personalize this template?
  Change AI tone or style in the OpenAI node prompt
  Add a scheduler node if you'd like to post at fixed intervals
  Use a Slack or Telegram approval step before posting
  Integrate analytics tools to track post performance

  Suggested Sticky Notes for Workflow

  | Node or Section        | Sticky Note Content                                                         |
  | ---------------------- | --------------------------------------------------------------------------- |
  | Linkedin Post topic  | Reads the topic titles and statuses from Sheet1                          |
  | OpenAI (GPT-4o)      | Generates content using topic title — you can modify the tone/prompt here |
  | Linkedin user detail | Your personal LinkedIn credentials — required to post                     |
  | Group loop           | Iterates through LinkedIn Group IDs and posts the content                |
  | Update Status        | Updates spreadsheet so the topic isn't re-posted                         |

nodes_used:
  ["n8n-nodes-base.limit","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.googleSheetsTrigger","n8n-nodes-base.if","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets","n8n-nodes-base.splitInBatches","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","integration","social media","data processing"],"complexity":"medium","use_cases":["Automate LinkedIn post creation from a spreadsheet","AI-powered copywriting for social posts (GPT-4o)","Post to personal profile and multiple LinkedIn groups","Prevent duplicate posting via status updates in sheet","Batch or scheduled content distribution with optional approval step"],"estimated_setup_minutes":20,"required_services":["Google Sheets","OpenAI (GPT-4o) API","LinkedIn account/API"],"key_features":["Generates LinkedIn posts from sheet topics using GPT-4o","Posts to personal profile and iterates through multiple LinkedIn groups","Marks items as Posted to avoid duplicates","Central control panel in Google Sheets (topics + Group IDs)","Customizable AI prompt, tone, and scheduling/approval hooks"],"target_audience":["Social media managers","Content marketers","Small business owners and entrepreneurs handling their own social channels」「Developers/automation engineers setting up integrations"]}


name: Switch Between Work and Personal Contexts with GPT-4.1 and iPhone Automation
author_name: Praveena
author_username: pankstr
categories: []
created_at: 2025-05-23T13:21:56.394Z
updated_at: 2025-05-23T13:21:56.394Z
url: https://n8n.io/workflows/4345
scraped_at: 2025-09-14 19:11:02
metadata_generated_at: 2025-09-14 21:18:33
description:
  Purpose
  The purpose of this automation is to help context switch from office to some side projects or passion gigs so you can be free of distracting thoughts and re-set your perspective.

  Benefits

  Anyone who works full time and also does something on the side (perhaps a side gig/being a mom/just follow your passion project)

  What you need
  N8N (lol)
  Any LLM API Key (I used OpenAI 4.1)
  IPhone (automations and shortcuts)

  Template Setup 
  Setup LLM API key.
  Import template file to new workflow.
  On Iphone create a new shortcut as per video. 
  Create automation steps. 

  Resources
  Youtube

nodes_used:
  ["n8n-nodes-base.webhook","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.code"]

workflow_json_compressed:
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metadata_json:
  {"categories":["automation","personal productivity","mobile integration","AI"],"complexity":"medium","use_cases":["Switch between work and personal contexts","Reduce distractions and reset perspective","Automate iPhone-triggered context switches","Generate context-aware prompts/notes via LLM","Support side projects or passion work routines"],"estimated_setup_minutes":20,"required_services":["n8n instance","LLM API (e.g., OpenAI GPT-4.1) and API key","iPhone with Shortcuts / Automations","Public webhook or HTTP endpoint (for iPhone → n8n communication)"],"key_features":["Uses an LLM to craft context-switch prompts and guidance","iPhone Shortcut + automation integration to trigger the workflow","Uses stickyNote nodes to surface or save notes","Structured output parsing for predictable responses","Compact workflow (8 nodes) with HTTP/Webhook entrypoint"],"target_audience":["knowledge workers with side projects","freelancers and makers","parents juggling work and personal tasks who use iPhone automations"]}


name: Validate Auth0 JWT Tokens using JWKS or Signing Cert
author_name: Jimleuk
author_username: jimleuk
categories: []
created_at: 2025-05-23T16:10:27.657Z
updated_at: 2025-05-23T16:10:27.657Z
url: https://n8n.io/workflows/4347
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:33
description:
  &gt; Note: This template requires a  self-hosted community edition of n8n. Does not work on cloud.

  Try It Out
  This n8n template shows how to validate API requests with Auth0 Authorization tokens.

  Auth0 doesn't work with the standard JWT auth option because:
  1) Auth0 tokens use the RS256 algorithm.
  2) RS256 JWT credentials in n8n require the user to use private and public keys and not secret phrase.
  3) Auth0 does not give you access to your Auth0 instance private keys.


  The solution is to handle JWT validation after the webhook is received using the code node.

  How it works
  There are 2 approaches to validate Auth0 tokens: using your application's JWKS file or using your signing cert.
  Both solutions uses the code node to access nodeJS libraries to verify the token.
  JWKS**: the JWK-RSA library is used to validate the application's JWKS URI hosted on Auth0
  Signing Cert**: the application's signing cert is imported into the workflow and used to verify token.
  In both cases, when the token is found to be invalid, an error is thrown. However, as we can use error outputs for the code node, the error does not stop the workflow and instead is redirected to a 401 unauthorized webhook response.
  When token is validated, the webhook response is forwarded on the success branch and the token decoded payload is attached.

  How to use
  Follow the instructions as stated in each scenario's sticky notes.
  Modify the Auth0 details with that of your application and Auth0 instance.

  Requirements
  Self-hosted community edition of n8n
  Ability to install npm packages
  Auth0 application and some way to get either the JWK url or signing cert.

nodes_used:
  ["n8n-nodes-base.webhook","n8n-nodes-base.code","n8n-nodes-base.respondToWebhook","n8n-nodes-base.code","n8n-nodes-base.respondToWebhook","n8n-nodes-base.webhook","n8n-nodes-base.noOp","n8n-nodes-base.noOp","n8n-nodes-base.respondToWebhook","n8n-nodes-base.respondToWebhook","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["integration","security","webhook","developer tools"],"complexity":"medium","use_cases":["Authenticate incoming webhook/API requests with Auth0 JWTs","Validate RS256 tokens using JWKS or a signing certificate","Protect n8n workflows/endpoints with Auth0-issued tokens","Return 401 responses for invalid tokens and forward valid requests","Attach decoded token payload to downstream workflow steps"],"estimated_setup_minutes":30,"required_services":["Auth0 (application & JWKS URL or signing certificate)","Self-hosted n8n (Community Edition)","Ability to install npm packages (e.g., jwks-rsa / JWT libraries)"],"key_features":["Validate RS256 Auth0 JWTs using JWKS URI","Alternative validation using imported signing certificate","Uses n8n Code node to call Node.js JWT/JWKS libraries","Non-blocking error outputs to send 401 webhook responses","On success forwards request and attaches decoded payload"],"target_audience":["Developers","Backend engineers","Security engineers / DevSecOps teams"]}


name: Bright Data-Powered Competitive Price Lookup and Report Generator
author_name: Gleb D
author_username: glebd
categories: []
created_at: 2025-05-23T18:15:36.897Z
updated_at: 2025-05-23T18:15:36.897Z
url: https://n8n.io/workflows/4348
scraped_at: 2025-09-14 19:11:02
description:
  This n8n workflow automates the collection, enrichment, and analysis of e-commerce product listings using Bright Data and AI, then delivers an HTML email report with the most competitive offers.

  🚀 What It Does

  Pulls product titles from a Google Sheet.
  For each product, searches a Bright Data marketplace dataset (Google Shopping) for available listings.
  Extracts relevant fields: price, title, seller name, and listing URL.
  Sends this data to Google Gemini for AI-powered Markdown report generation.
  Converts Markdown to HTML and styles the output for better email rendering.
  Sends an email report for each product with the top 20 most affordable offers.

  🛠️ Step-by-Step Setup

  Load product list from Google Sheets.
  For each product title, run a Bright Data filter request (case-sensitive match).
  Poll the snapshot status until it is ready.
  Retrieve snapshot content and clean the results with a Code node.
  Pass the results to Gemini (PaLM/Gemini Flash) for analysis and report generation in Markdown.
  Convert Markdown into styled HTML using Markdown + Code nodes.
  Send formatted email to a predefined recipient.
  Return to the loop and repeat for the next product.

  🧠 How It Works

  Loop Control: SplitInBatches handles product-by-product processing.
  Snapshot Handling: Snapshot status is polled every 30s until success/failure.
  AI Formatting: Gemini summarizes listings and formats content.
  Error Handling: Failed snapshots produce a warning message and resume the loop.

  📨 Final Output

  Each email contains:
  The product name
  A clean HTML of up to 20 sellers with lowest prices
  Links to listings
  AI-generated pricing summary

  🔐 Credentials Used

  Bright Data account
  Google Gemini (PaLM/Gemini Flash)
  Google Sheets (OAuth2)
  SMTP Email (emailSend node)

  ⚠️ Important Notes

   Item title search is case-sensitive. Typos or casing mismatches may result in no results.
  Requires n8n-nodes-brightdata community node to be installed.

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.googleSheets","n8n-nodes-base.wait","n8n-nodes-brightdata.brightData","n8n-nodes-brightdata.brightData","n8n-nodes-brightdata.brightData","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.splitInBatches","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.emailSend","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.chainLlm","n8n-nodes-base.markdown","n8n-nodes-base.code","n8n-nodes-base.stickyNote"]

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name: Clone Nested Folder Structures in Google Drive with Custom Naming
author_name: Jagged Frontiersman
author_username: jagged-frontiersman
categories: []
created_at: 2025-05-23T19:32:47.167Z
updated_at: 2025-05-23T19:32:47.167Z
url: https://n8n.io/workflows/4349
scraped_at: 2025-09-14 19:11:03
metadata_generated_at: 2025-09-14 21:18:33
description:
  Google Drive Nested Folder Structure Cloner

  How it works
  Takes any Google Drive folder structure and creates an exact copy with custom naming
  Perfect for agencies, consultants, or anyone who needs identical folder structures for multiple projects
  Creates folder hierarchy only (no files are copied)
  Handles nested folders automatically with level-by-level processing

  Set up steps
  Get your source and destination folder IDs from Google Drive URLs
  Edit the 3 variables in the CONFIG node (takes 30 seconds)
  Connect your Google Drive credentials in n8n
  Run the workflow and watch it create your folder structure
  For deeply nested folders, run multiple times to process each level

  What you'll need
  Google Drive account with API access configured in n8n
  Read permissions on source folder, write permissions on destination folder

  Pro tips
  Create a "Templates" folder in Google Drive for your reusable structures
  The workflow intelligently skips folders that already exist
  Each run processes the next level down for nested structures
  Check the final report to see exactly what was created, skipped, or failed

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","integration","file management","productivity"],"complexity":"medium","use_cases":["Create reusable project or client folder templates in Google Drive","Onboarding new projects/clients with identical folder hierarchies","Rapidly provision folder structures for agencies or consultants","Maintain consistent folder organization across teams","Generate template-driven folder trees for recurring workflows"],"estimated_setup_minutes":10,"required_services":["n8n instance","Google Drive (Google Drive API / Google account with API access)"],"key_features":["Clones folder hierarchy only (no file copying)","Custom naming for destination folder structure","Handles nested folders with level-by-level processing","Skips folders that already exist","Configurable via three variables in a single CONFIG node (~30s to edit)"],"target_audience":["agencies","consultants","project managers / operations teams managing folders at scale"]}


name: Check dependencies before completing Awork tasks (Workaround)
author_name: Gregor
author_username: gregorg
categories: []
created_at: 2025-05-23T22:05:16.247Z
updated_at: 2025-05-23T22:05:16.247Z
url: https://n8n.io/workflows/4350
scraped_at: 2025-09-14 19:11:03
metadata_generated_at: 2025-09-14 21:18:33
description:
  Awork currently does not support a check for open subtasks or open dependencies when setting a task status to done. This workflow offers you a simple workaround to add this functionality to Awork and notifies users when triggered. Multiple configuration options available.

  How it works
  Triggered via Awork Webhook call on status change of tasks
  If task is marked as done, subtasks and/or dependent tasks are checked for their status
  If unfinished tasks are found, a status rollback to previous status is performed and user gets notified 

  Set up steps
  Add webhook call to Awork
  Configure Awork API credentials
  Set up workflow configuration via setup node, e.g. user notification text, restrict to subtasks/dependency checks etc.

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.aggregate","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.splitOut","n8n-nodes-base.filter","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.webhook","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.filter","n8n-nodes-base.aggregate","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.aggregate","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","integration","project-management","notifications","workflow-enforcement"],"complexity":"complex","use_cases":["Prevent marking tasks done when subtasks/dependencies remain open","Enforce project workflow rules in Awork","Notify users when task completion is blocked","Automate status rollback to maintain data integrity","Customizable checks (subtasks vs dependencies) for teams"],"estimated_setup_minutes":20,"required_services":["Awork API (webhooks & REST)","Notification channel (email, Slack, or in-app messaging)"],"key_features":["Triggered by Awork webhook on task status change","Checks open subtasks and/or dependent tasks before allowing completion","Performs status rollback if unfinished dependencies found","Configurable notification text and scope (subtasks vs dependencies)","Multiple configuration options via setup node"],"target_audience":["Project managers","Team leads","Operations/PMO teams enforcing processes on Awork usage by teams/devs"]}


name: AI-Powered Multi-Social Media Post Automation: Google Trends & Perplexity AI
author_name: Gerald Denor
author_username: dominixai
categories: []
created_at: 2025-05-24T00:42:22.300Z
updated_at: 2025-05-24T00:42:22.300Z
url: https://n8n.io/workflows/4352
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  Overview
  This comprehensive n8n workflow automatically transforms trending Google search queries into engaging LinkedIn posts using AI. The system runs autonomously, discovering viral topics, researching content, and publishing professionally formatted posts to grow your social media presence.

  Workflow Description
  Automate your entire social media content pipeline - from trend discovery to publication. This workflow monitors Google Trends, selects high-potential topics, creates human-like content using advanced AI, and publishes across multiple social platforms with built-in tracking.

  Key Features
  Automated Trend Discovery**: Pulls trending topics from Google Trends API with customizable filters
  Intelligent Topic Selection**: AI chooses the most relevant trending topic for your niche
  Multi-AI Content Generation**: Combines Perplexity for research and OpenAI for content curation
  Human-Like Writing**: Advanced prompts eliminate AI detection markers
  LinkedIn Optimization**: Proper formatting with Unicode characters, emojis, and engagement hooks
  Multi-Platform Support**: Ready for LinkedIn, Twitter/X, and Facebook posting
  Automated Scheduling**: Configurable posting times (default: 6 AM & 6 PM daily)
  Performance Tracking**: Automatic logging to Google Sheets with timestamps and metrics
  Error Handling**: Built-in delays and retry mechanisms for API stability

  Technical Implementation

  Workflow Architecture
  Schedule Trigger: Automated execution at specified intervals
  Google Trends API: Fetches trending search queries with geographical filtering
  Data Processing: JavaScript code node filters high-volume keywords (30+ search volume)
  Topic Selection: OpenAI GPT-3.5 evaluates and selects optimal trending topic
  Content Research: Perplexity AI researches selected topic for current information
  Content Generation: Advanced prompt engineering creates LinkedIn-optimized posts
  Content Distribution: Multi-platform posting with platform-specific formatting
  Analytics Tracking: Google Sheets integration for performance monitoring

  Node Breakdown
  Schedule Trigger**: Configurable timing for automated execution
  HTTP Request (Google Trends)**: SerpAPI integration for trend data
  Set Node**: Structures trending data for processing
  Code Node**: JavaScript filtering for high-volume keywords
  OpenAI Node**: Intelligent topic selection based on relevance and trend strength
  HTTP Request (Perplexity)**: Advanced AI research with anti-detection prompts
  Wait Node**: Rate limiting and API respect
  Split Out**: Prepares content for multi-platform distribution
  LinkedIn Node**: Authenticated posting with community management
  Google Sheets Node**: Automated tracking and analytics
  Social Media Nodes**: Twitter/X, LinkedIn and Facebook ready for activation

  Use Cases
  Content Creators**: Maintain consistent posting schedules with trending content
  Marketing Agencies**: Scale content creation across multiple client accounts
  Business Development**: Build thought leadership with timely industry insights
  Personal Branding**: Establish authority by commenting on trending topics
  SEO Professionals**: Create content around high-search-volume keywords

  Configuration Requirements

  API Integrations
  SerpAPI**: Google Trends data access
  Perplexity AI**: Advanced content research capabilities
  OpenAI**: Content curation and topic selection
  LinkedIn Community Management API**: Professional posting access
  Google Sheets API**: Analytics and tracking

  Authentication Setup
  LinkedIn OAuth2 community management credentials
  Google Sheets OAuth2 integration
  HTTP header authentication for AI services

  Customization Options
  Industry Targeting**: Modify prompts for specific business verticals
  Posting Schedule**: Adjust timing based on audience activity
  Content Tone**: Customize voice and style through prompt engineering
  Platform Selection**: Enable/disable specific social media channels
  Trend Filtering**: Adjust search volume thresholds and geographic targeting
  Content Length**: Modify character limits for different platforms

  Advanced Features
  Anti-AI Detection**: Sophisticated prompts create human-like content
  Rate Limit Management**: Built-in delays prevent API throttling
  Error Recovery**: Robust error handling with retry mechanisms
  Content Deduplication**: Prevents posting duplicate content
  Engagement Optimization**: LinkedIn-specific formatting for maximum reach

  Performance Metrics
  Time Savings**: Eliminates 10+ hours of weekly content creation
  Consistency**: Maintains regular posting schedule without manual intervention
  Relevance**: Content always based on current trending topics
  Engagement**: Optimized formatting increases social media interaction
  Scalability**: Single workflow manages multiple platform posting

  Installation Notes
  Import JSON workflow file into n8n instance
  Configure all required API credentials
  Set up Google Sheets tracking document
  Test workflow execution with manual trigger
  Enable schedule trigger for automated operation

  Best Practices
  Monitor API usage to stay within rate limits
  Regularly update prompts based on content performance
  Review and adjust trending topic filters for your niche
  Maintain backup of workflow configuration
  Test content output before enabling automation

  Support & Updates
  Comprehensive setup documentation included
  Configuration troubleshooting guide provided
  Regular workflow updates for API changes
  Community support through n8n forums

  Tags
  social-media content-automation linkedin ai-generation google-trends perplexity openai marketing trend-analysis content-creation

  Compatibility
  n8n Version: 1.0+
  Node Requirements: Standard n8n installation
  External Dependencies: API access to listed services
  Hosting: Compatible with cloud and self-hosted n8n instances

nodes_used:
  ["n8n-nodes-base.twitter","n8n-nodes-base.facebookGraphApi","n8n-nodes-base.linkedIn","n8n-nodes-base.googleSheets","n8n-nodes-base.splitOut","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.set","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","social-media","content-creation","ai-integration","marketing"],"complexity":"complex","use_cases":["Automated social media publishing from trends","Scaling content creation for agencies","Personal branding and thought leadership","SEO-driven content generation","Multi-platform campaign management"],"estimated_setup_minutes":60,"required_services":["SerpAPI (Google Trends)","Perplexity AI","OpenAI (GPT-3.5+)","LinkedIn Community Management API","Google Sheets API","Twitter/X API","Facebook Graph API","n8n hosting"],"key_features":["Automated trend discovery with geo and volume filters","AI topic selection and relevance scoring","Multi-AI pipeline: Perplexity research + OpenAI generation","Multi-platform formatting and posting (LinkedIn, X, Facebook)","Configurable scheduling and rate-limit/wait nodes with retries and error handling`,`Performance logging to Google Sheets (timestamps & metrics)`,`Anti-AI-detection prompt engineering for human-like writing`,`Content deduplication and platform-specific optimization"],"target_audience":["Content creators","Marketing agencies","Social media managers/consultants`,`Business owners and founders`,`SEO professionals"]}


name: Legal Case Research Extractor, Data Miner with Bright Data MCP & Google Gemini
author_name: Ranjan Dailata
author_username: ranjancse
categories: []
created_at: 2025-05-24T04:29:07.388Z
updated_at: 2025-05-24T04:29:07.388Z
url: https://n8n.io/workflows/4354
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  Notice
  Community nodes can only be installed on self-hosted instances of n8n.

  Who this is for
  The Legal Case Research Extractor is a powerful automated workflow designed for legal tech teams, researchers, law firms, and data scientists focused on transforming unstructured legal case data into actionable, structured insights.

  This workflow is tailored for:

  Legal Researchers automating case law data mining

  Litigation Support Teams handling large volumes of case records

  LawTech Startups building AI-powered legal research assistants

  Compliance Analysts extracting case-specific insights

  AI Developers working on legal NLP, summarization, and search engines

  What problem is this workflow solving?
  Legal case data is often locked in semi-structured or raw HTML formats, scattered across jurisdiction-specific websites. Manually extracting and processing this data is tedious and inefficient.

  This workflow automates:

  Extraction of legal case data via Bright Data's powerful MCP infrastructure

  Parsing of HTML into clean, readable text using Google Gemini LLM

  Structuring and delivering the output through webhook and file storage

  What this workflow does

  Input

  Set the Legal Case Research URL node is responsible for setting the legal case URL for the data extraction.

  Bright Data MCP Data Extractor

  Bright Data MCP Client For Legal Case Research node is responsible for the legal case extraction via the Bright Data MCP tool - scrape_as_html

  Case Extractor

  Google Gemini based Case Extractor is responsible for producing a paginated list of cases

  Loop through Legal Case URLs

  Receives a collection of legal case links to process

  Each URL represents a different case from a target legal website

  Bright Data MCP Scraping

  Utilizes Bright Data’s scrape_as_html MCP mode

  Retrieves raw HTML content of each legal case

  Google Gemini LLM Extraction

  Transforms raw HTML into clean, structured text

  Performs additional information extraction if required (e.g., case summary, court, jurisdiction etc.)

  Webhook Notification

  Sends extracted legal case content to a configurable webhook URL

  Enables downstream processing or storage in legal databases

  Binary Conversion & File Persistence

  Converts the structured text to binary format

  Saves the final response to disk for archival or further processing

  Pre-conditions

  Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - model-context-protocol
  You need to have the Bright Data account and do the necessary setup as mentioned in the Setup section below.
  You need to have the Google Gemini API Key. Visit Google AI Studio
  You need to install the Bright Data MCP Server @brightdata/mcp
  You need to install the n8n-nodes-mcp

  Setup
  Please make sure to setup n8n locally with MCP Servers by navigating to n8n-nodes-mcp
  Please make sure to install the Bright Data MCP Server @brightdata/mcp  on your local machine.
  Sign up at Bright Data.
  Create a Web Unlocker proxy zone called mcp_unlocker on Bright Data control panel.
  Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).
  In n8n, configure the credentials to connect with MCP Client (STDIO) account with the Bright Data MCP Server as shown below.



  Make sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=&lt;your-token&gt;

  How to customize this workflow to your needs

  Target New Legal Portals
  Modify the legal case input URLs to scrape from different state or federal case databases


  Customize LLM Extraction
  Modify the prompt to extract specific fields: case number, plaintiff, case summary, outcome, legal precedents etc.

  Add a summarization step if needed

  Enhance Loop Handling
  Integrate with a Google Sheet or API to dynamically fetch case URLs

  Add error handling logic to skip failed cases and log them

  Improve Security & Compliance
  Redact sensitive information before sending via webhook

  Store processed case data in encrypted cloud storage

  Output Formats
  Save as PDF, JSON, or Markdown

  Enable output to cloud storage (S3, Google Drive) or legal document management systems

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.stickyNote","n8n-nodes-mcp.mcpClient","n8n-nodes-base.function","n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-mcp.mcpClient","@n8n/n8n-nodes-langchain.chainLlm","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.splitInBatches","n8n-nodes-mcp.mcpClient","@n8n/n8n-nodes-langchain.chainLlm","n8n-nodes-base.httpRequest","n8n-nodes-base.readWriteFile","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.wait"]

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metadata_json:
  {"categories":["automation","integration","data extraction","AI/NLP","legal_tech"],"complexity":"complex","use_cases":["Automated legal case scraping and structuring","Building searchable legal research databases","Litigation support and case summarization","Compliance monitoring and precedent extraction","Feeding legal NLP/ML pipelines with structured case data"],"estimated_setup_minutes":120,"required_services":["Bright Data (MCP, Web Unlocker proxy zone)","Google Gemini / Google AI Studio (or Vertex AI) API key","Self‑hosted n8n with community nodes enabled","Bright Data MCP Server (@brightdata/mcp) and n8n-nodes-mcp"],"key_features":["Scrapes raw HTML of legal cases via Bright Data MCP (scrape_as_html)","Uses Google Gemini LLM to parse HTML into clean, structured text and extract fields (summary, court, jurisdiction, etc.)","Paginates and loops through collections of case URLs","Sends results to configurable webhook for downstream processing","Converts structured text to binary and persists files to disk (PDF/JSON/Markdown output options)"],"target_audience":["Legal researchers","Litigation support teams","Law firms and compliance analysts in-house teams (legal ops) ] , Legal tech startups, AI developers and data scientists"]}


name: Automate Your LinkedIn Engagement with AI-Powered Comments! 💬✨
author_name: Rish
author_username: b2brish
categories: []
created_at: 2025-05-24T11:05:17.810Z
updated_at: 2025-05-24T11:05:17.810Z
url: https://n8n.io/workflows/4357
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  Tutorial Video

  This n8n workflow is your ultimate tool for smart LinkedIn interaction, leveraging the power of AI to generate witty comments and engage with posts via the Unipile API. Perfect for community managers, marketers, or anyone looking to scale their professional presence with intelligent automation!

  How It Works:
  Trigger by Chat Message: Simply send a chat message (e.g., from Telegram) containing a LinkedIn post ID. 📨

  Extract Post ID with LLM: An intelligent Large Language Model (LLM) precisely extracts the LinkedIn post ID from your message, ready for action. 🧠

  Get Post Details: The workflow fetches all the juicy details of the target LinkedIn post from Unipile. 📥

  AI-Crafted Comment: An OpenAI LLM, acting as your personal AI & startup expert, generates a unique, witty, and cheeky comment tailored to the post's content. No boring, generic replies here! ✒️🤖

  Publish & React: The generated comment is then published to the LinkedIn post via Unipile, and a reaction (like a 'like' or 'upvote') is automatically added to boost engagement. 👍💬

  Confirmation to Telegram: Get instant feedback! A confirmation message is sent back to your Telegram, showing the post URL and the exact comment that was shared. ✅

  Why You'll Love This Template:
  Intelligent Engagement: Move beyond simple replies with AI-powered comments that resonate on a professional platform.

  Time-Saving Automation: Automate repetitive LinkedIn tasks and free up your schedule for more strategic activities.

  Scalable: Easily adapt and expand this workflow for various professional engagement types.

  Customizable: Tweak the LLM prompts to match your professional brand's voice and desired tone.

  Get Started:
  Unipile API Key: Secure your UNIPILE_API_KEY and set it as an environment variable in n8n.

  Unipile Account ID: The account_id (e.g., PXAEQeyiS2iSkSJCRuNcvg) is currently hardcoded within the HTTP Request nodes. For a production setup, consider making this dynamic or using n8n credentials if Unipile offers them.

  OpenAI Credentials: Ensure your OpenAI API key is configured as an n8n credential.
  Telegram Integration: Configure the Trigger: Chat Message Received node and the Telegram: Send Confirmation node with your Telegram Bot Token and Chat ID. The confirmation node is currently disabled; enable it to receive notifications.

  Ready to supercharge your LinkedIn engagement? Give it a try! 🚀

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.chatTrigger","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.chainLlm","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.telegram","@n8n/n8n-nodes-langchain.toolThink","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","social media","AI-powered engagement","integration"],"complexity":"medium","use_cases":["Automate LinkedIn comments and reactions","Scale professional/community engagement","Social media growth and marketing automation","AI-generated, brand-aligned responses"],"estimated_setup_minutes":30,"required_services":["Unipile API (account and API key)","OpenAI API (or compatible LLM)","Telegram Bot (bot token and chat ID)","n8n instance/environment"],"key_features":["Trigger from chat message (e.g., Telegram)","LLM extracts LinkedIn post ID from free text","Fetch LinkedIn post details via Unipile","AI-crafted witty/brand-aligned comments","Publish comment and add reaction through Unipile API set-up"],"target_audience":["Community managers","Social media marketers","Growth/engagement teams and founders looking to scale presence on LinkedIn (non-technical to technical)"]}


name: Auto-Delete SPAM, Social, and Promotions Emails in Gmail
author_name: Khairul Muhtadin
author_username: khmuhtadin
categories: []
created_at: 2025-05-24T11:22:05.573Z
updated_at: 2025-05-24T11:22:05.573Z
url: https://n8n.io/workflows/4358
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  Who is this for?
  This workflow is perfect for Gmail users who want a tidy inbox without manual effort. It’s especially great for those overwhelmed by SPAM, social media updates, or promotional emails and want them automatically removed regularly.

  What problem is this workflow solving?
  Unwanted emails like SPAM, social notifications, and promotions can clutter your Gmail inbox, making it hard to focus on what matters. Manually deleting them is repetitive and time-consuming. This workflow automates the cleanup, keeping your inbox streamlined.

  What this workflow does
  Every 3 days, this workflow deletes emails from Gmail’s SPAM, Social, and Promotions categories. It uses n8n’s Gmail node to fetch these emails, merges them into a single list, splits out individual email IDs, and deletes each one. The scheduled process ensures consistent inbox maintenance.

  Setup
  Set up valid Gmail OAuth2 credentials in n8n.
  Import the "Clean My Mail" workflow into your n8n instance.
  Confirm the Gmail nodes target SPAM, CATEGORY_SOCIAL, and CATEGORY_PROMOTIONS labels.
  Adjust the "Run Every 3 Days (Trigger)" node’s schedule if needed.
  Activate the workflow to begin automated cleaning.

  How to customize this workflow to your needs
  Change the Gmail node labels to target other categories or custom labels.
  Adjust the schedule frequency in the trigger node.
  Add filters to spare specific emails from deletion.
  Extend functionality with nodes for archiving or notifications.

  made by:* khmuhtadin
  Need a custom? contact me on LinkedIn or Web

nodes_used:
  ["n8n-nodes-base.gmail","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.gmail","n8n-nodes-base.gmail","n8n-nodes-base.gmail","n8n-nodes-base.merge","n8n-nodes-base.splitOut","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","email management","productivity","integration"],"complexity":"simple","use_cases":["Automatically delete SPAM, Social, and Promotions emails","Periodic inbox cleanup to reduce clutter","Maintain focus by removing low-priority messages","Automate mailbox maintenance for busy users","Base workflow to extend with archiving or notifications"],"estimated_setup_minutes":10,"required_services":["n8n instance","Gmail (Google account with OAuth2 credentials)"],"key_features":["Scheduled run (every 3 days by default)","Targets Gmail labels: SPAM, CATEGORY_SOCIAL, CATEGORY_PROMOTIONS","Fetches and merges email lists, splits IDs, and deletes messages","Configurable schedule and label selection","Easy to extend with filters, archiving, or notifications"],"target_audience":["Gmail users overwhelmed by promotional/social/spam emails","Busy professionals and productivity-focused users","n8n users wanting automated inbox maintenance','Non-technical users comfortable importing n8n workflows"]}


name: AI-Powered Post-Sales Call Automated Proposal Generator
author_name: Gerald Denor
author_username: dominixai
categories: []
created_at: 2025-05-24T13:32:44.312Z
updated_at: 2025-05-24T13:32:44.312Z
url: https://n8n.io/workflows/4359
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:32
description:
  AI-Powered Proposal Generator - Sales Automation Workflow

  Overview

  This n8n workflow automates the entire proposal generation process using AI, transforming client requirements into professional, customized proposals delivered via email in seconds.

  Use Case
  Perfect for agencies, consultants, and sales teams who need to generate high-quality proposals quickly. Instead of spending hours writing proposals manually, this workflow captures client information through a web form and uses GPT-4 to generate contextually relevant, professional proposals.

  How It Works
  Form Trigger - Captures client information through a customizable web form
  OpenAI Integration - Processes form data and generates structured proposal content
  Google Drive - Creates a copy of your proposal template
  Google Slides - Populates the template with AI-generated content
  Gmail - Automatically sends the completed proposal to the client

  Key Features
  AI Content Generation**: Uses GPT-4 to create personalized proposal content
  Professional Templates**: Integrates with Google Slides for polished presentations
  Automated Delivery**: Sends proposals directly to clients via email
  Form Integration**: Captures all necessary client data through web forms
  Customizable Output**: Generates structured proposals with multiple sections

  Template Sections Generated
  Proposal title and description
  Problem summary analysis
  Three-part solution breakdown
  Project scope details
  Milestone timeline with dates
  Cost integration

  Requirements
  n8n instance** (cloud or self-hosted)
  OpenAI API key** for content generation
  Google Workspace account** for Slides and Gmail
  Basic n8n knowledge** for setup and customization

  Setup Complexity
  Intermediate - Requires API credentials setup and basic workflow customization

  Benefits
  Time Savings**: Reduces proposal creation from hours to minutes
  Consistency**: Ensures all proposals follow the same professional structure
  Personalization**: AI analyzes client needs for relevant content
  Automation**: Eliminates manual copy-paste and formatting work
  Scalability**: Handle multiple proposal requests simultaneously

  Customization Options
  Modify AI prompts for different industries or services
  Customize Google Slides template design
  Adjust form fields for specific information needs
  Personalize email templates and signatures
  Configure milestone templates for different project types

  Error Handling
  Includes basic error handling for API failures and form validation to ensure reliable operation.

  Security Notes
  All credentials have been removed from this template. Users must configure their own:
  OpenAI API credentials
  Google OAuth2 connections for Slides, Drive, and Gmail
  Form webhook configuration

  This workflow demonstrates practical AI integration in business processes and showcases n8n's capabilities for complex automation scenarios.

nodes_used:
  ["n8n-nodes-base.googleSlides","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.googleDrive","n8n-nodes-base.gmail","n8n-nodes-base.formTrigger","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","sales-automation","document-generation","ai-content-generation","integration"],"complexity":"medium","use_cases":["Automated post-call sales proposal generation","Agency/consultant proposal creation","Rapid client-facing deliverables after discovery calls","Scaling proposal production with consistent branding","Personalized follow-up emails with attached proposals"],"estimated_setup_minutes":45,"required_services":["n8n (cloud or self-hosted)","OpenAI (GPT-4) API key","Google Workspace (Drive, Slides, Gmail) with OAuth2","Web form provider or webhook endpoint to capture client data"],"key_features":["GPT-4 powered personalized proposal content","Creates and populates Google Slides proposal templates","Automated delivery via Gmail","Web form integration to capture client requirements","Structured outputs: title, problem analysis, solution, scope, milestones, costs and dates
  "],"target_audience":["Sales teams","Agencies","Consultants and freelancers who create proposals regularly"]}


name: Auto Update n8n to Latest Version with Coolify
author_name: Haqi Ramadhani
author_username: gemboran
categories: []
created_at: 2025-05-24T13:56:50.112Z
updated_at: 2025-05-24T13:56:50.112Z
url: https://n8n.io/workflows/4360
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:33
description:
  Automatically detect new n8n releases (stable or beta) from GitHub, update Coolify environment variables, and trigger deployments.

  Functionality  
  This workflow automates deployment of n8n releases to a Coolify instance. It supports two tracks:  
  Beta Releases: Checks GitHub every minute for prereleases, filters duplicates, updates the N8N_VERSION environment variable, and deploys.  
  Stable Releases (disabled by default): Checks the latest stable release hourly and deploys.  

  Key Features:  
  Deduplication**: Ensures no repeated deployments for the same release.  
  Version Parsing**: Extracts the semantic version (e.g., 1.34.0) from GitHub release names.  
  Coolify Integration**: Updates environment variables and triggers deployments via API.  

  Expected Outcomes  
  New n8n beta/stable releases detected via GitHub API.  
  Coolify environment variable N8N_VERSION updated to the latest version.  
  Automatic deployment triggered in Coolify.  

  Setup Guide  
  Replace Placeholders:  
     Update m8ccg8k44coogsk84swk8kgs in the Update ENV and Deploy nodes with your Coolify Application UUID.  

  Configure Credentials:  
     Add Coolify API credentials (httpHeaderAuth) with a valid API token in the headers.  

  Enable Triggers:  
     Toggle the Auto Update Latest Release node if stable releases are desired. Adjust schedule intervals as needed.  

  Test:  
     Run the workflow manually to validate API connections and version parsing.  

  SEO Keywords  
  Automated Deployment, n8n CI/CD, Coolify Integration, GitHub Release Monitoring, Environment Variable Management, Beta Release Automation.

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.filter","n8n-nodes-base.limit","n8n-nodes-base.removeDuplicates","n8n-nodes-base.httpRequest","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.scheduleTrigger"]

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metadata_json:
  {"categories":["automation","deployment","integration","ci/cd"],"complexity":"medium","use_cases":["Automatically deploy new n8n releases to a Coolify-hosted instance","Monitor GitHub Releases (stable and prerelease/beta) and trigger deployments","Manage and update environment variables (N8N_VERSION) in Coolify","Prevent duplicate deployments for the same release","Implement lightweight continuous delivery for n8n using scheduled checks"],"estimated_setup_minutes":15,"required_services":["GitHub Releases API","Coolify (API access and application UUID)","n8n (workflow runner with HTTP credential support)"],"key_features":["Automatic detection of GitHub releases (stable and beta/prereleases)","Configurable schedule for beta (every minute) and stable (hourly) tracks","Deduplication to avoid repeated deployments for the same version","Semantic version parsing from GitHub release names","Updates Coolify environment variable N8N_VERSION and triggers deployment via API"],"target_audience":["Developers","DevOps engineers","Site Reliability Engineers (SREs) / system administrators managing n8n deployments"]}


name: Extract Details from Receipts via Telegram with Tesseract and Llama
author_name: Khairul Muhtadin
author_username: khmuhtadin
categories: []
created_at: 2025-05-24T14:19:39.715Z
updated_at: 2025-05-24T14:19:39.715Z
url: https://n8n.io/workflows/4361
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  Tesseract - Money Mate Workflow Description

  Disclaimer: This template requires the n8n-nodes-tesseractjs community node, which is only available on self-hosted n8n instances. You’ll need a self-hosted n8n setup to use this workflow.

  Who is this for?
  This workflow is designed for individuals, freelancers, or small business owners who want an easy way to track expenses using Telegram. It’s ideal for anyone looking to digitize receipts—whether from photos or text messages—using free tools, without needing advanced technical skills.

  What problem does this workflow solve?
  Manually entering receipt details into a spreadsheet or app is time-consuming and prone to mistakes. This workflow automates the process by extracting information from receipt images or text messages sent via Telegram, categorizing expenses, and sending back a clear, formatted summary. It saves time, reduces errors, and makes expense tracking effortless.

  What this workflow does
  The workflow listens for messages sent to a Telegram bot, which can be either text descriptions of expenses or photos of receipts. If a photo is sent, Tesseract (an open-source text recognition tool) extracts the text. If text is sent, it’s processed directly. An AI model (LLaMA via OpenRouter) analyzes the input, categorizes it into expense types (e.g., Food & Beverages, Household, Transport), and creates a structured summary including store name, date, items, total, and category. The summary is then sent back to the user’s Telegram chat.

  Setup Instructions
  Follow these step-by-step instructions to set up the workflow. No advanced technical knowledge is required, but you’ll need a self-hosted n8n instance.

  Set Up a Self-Hosted n8n Instance:
     If you don’t have n8n installed, follow the n8n self-hosting guide to set it up. You can use platforms like Docker or a cloud provider (e.g., DigitalOcean, AWS).
     Ensure your n8n instance is running and accessible via a web browser.

  Install the Tesseract Community Node:
     In your n8n instance, go to Settings &gt; Community Nodes in the sidebar.
     Click Install a Community Node, then enter n8n-nodes-tesseractjs in the search bar.
     Click Install and wait for confirmation. This node enables receipt image processing.
     If you encounter issues, check the n8n community nodes documentation for troubleshooting.

  Create a Telegram Bot:
     Open Telegram and search for @BotFather to start a new bot.
     Send /start to BotFather, then /newbot to create your bot.
     Follow the prompts to name your bot (e.g., “MoneyMateBot”).
     BotFather will provide a Bot Token (e.g., 23872837287:ExampleExampleExample). Copy this token.
     In n8n, go to Credentials &gt; Add Credential, select Telegram API, and paste the token. Name the credential (e.g., “MoneyMateBot”) and save.

  Set Up OpenRouter for AI Processing:
     Sign up for a free account at OpenRouter.
     In your OpenRouter dashboard, generate an API Key under the API section.
     In n8n, go to Credentials &gt; Add Credential, select OpenRouter API, and paste the API key. Name it (e.g., “OpenRouter Account”) and save.
     The free tier of OpenRouter’s LLaMA model is sufficient for this workflow.

  Import and Configure the Workflow:
     Download the workflow JSON file (provided separately or copy from the source).
     In n8n, go to Workflows &gt; Import Workflow and upload the JSON file.
     Open the imported workflow (“Tesseract - Money Mate”).
     Ensure the Telegram Trigger and Send Expense Summary nodes use the Telegram credential you created.
     Ensure the AI Analyzer node uses the OpenRouter credential.
     Save the workflow.

  Test the Workflow:
     Activate the workflow by toggling the Active switch in n8n.
     In Telegram, find your bot (e.g., @MoneyMateBot) and send /start.
     Test with a sample input (see “Example Inputs” below).
     Check the n8n workflow execution panel to ensure data flows correctly.
     If errors occur, double-check credentials and node connections.

  Activate for Continuous Use:
     Once tested, keep the workflow active in n8n.
     Your bot will now process any text or image sent to it via Telegram.

  Example Inputs/Formats
  To help the workflow process your data accurately, use clear and structured inputs. Below are examples of valid inputs:

  Text Input Example:
  Send a message to your Telegram bot like this:
  Bought coffee at Starbucks, Jalan Sudirman, yesterday. Total Rp 50,000. 2 lattes, each Rp 25,000.
  Expected Output:
  hello [Your Name]

  Ini Rekap Belanjamu
  📋 Store: Starbucks
  📍 Location: Jalan Sudirman
  📅 Date: 2025-05-26
  🛒 Items:
  Latte: Rp 25,000
  Latte: Rp 25,000
  💸 Total: Rp 50,000
  📌 Category: Food & Beverages

  Image Input Example:
  Upload a photo of a receipt to your Telegram bot. The receipt should contain:
  Store name (e.g., “Alfamart”)
  Address (e.g., “Jl. Gatot Subroto, Jakarta”)
  Date and time (e.g., “27/05/2025 14:00”)
  Items with prices (e.g., “Bread Rp 15,000”, “Milk Rp 20,000”)
  Total amount (e.g., “Total: Rp 35,000”)

  Expected Output:
  hello [Your Name]

  Ini Rekap Belanjamu
  📋 Store: Alfamart
  📍 Location: Jl. Gatot Subroto, Jakarta
  📅 Date: 2025-05-27 14:00
  🛒 Items:
  Bread: Rp 15,000
  Milk: Rp 20,000
  💸 Total: Rp 35,000
  📌 Category: Household

  Tips for Images:
  Ensure the receipt is well-lit and text is readable.
  Avoid blurry or angled photos for better Tesseract accuracy.

  How to Customize This Workflow
  Change Expense Categories: In the **AI Categorizer node, edit the prompt to include custom categories (e.g., add “Entertainment” or “Utilities” to the list: Food & Beverages, Household, Transport).
  Modify Response Format: In the **Format Summary Message node, adjust the JavaScript code to change how the summary looks (e.g., add emojis, reorder fields).
  Save to a Database: Add a node (e.g., Google Sheets or PostgreSQL) after the **Format Summary Message node to store summaries.
  Support Other Languages: In the **AI Categorizer node, update the prompt to handle additional languages (e.g., Spanish, Mandarin) by specifying them in the instructions.
  Add Error Handling: Enhance the **Check Invalid Input node to catch more edge cases, like invalid dates.

  All Free, End-to-End
  This workflow is 100% free! It leverages:
  Telegram Bot API**: Free via BotFather.
  Tesseract**: Open-source text recognition.
  LLaMA via OpenRouter**: Free tier available for AI processing.

  Enjoy automating your expense tracking without any cost!

  Made by: khmuhtadin
  Need a custom? contact me on LinkedIn or Web

nodes_used:
  ["n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.telegramTrigger","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.chainLlm","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.lmChatOpenRouter","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.stickyNote","n8n-nodes-tesseractjs.tesseractNode","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","integration","OCR","expense-tracking","AI"],"complexity":"medium","use_cases":["Digitize paper receipts sent via Telegram","Automatically extract and structure expense data (store, date, items, total)","Categorize expenses using an LLaMA model","Send formatted expense summaries back to users over Telegram","Add optional persistence (e.g., Google Sheets, PostgreSQL) for bookkeeping"],"estimated_setup_minutes":45,"required_services":["Self-hosted n8n instance","n8n-nodes-tesseractjs community node (Tesseract OCR)","Telegram Bot (BotFather token)","OpenRouter API (LLaMA model / API key)"],"key_features":["Telegram trigger and reply for text or receipt images","Tesseract OCR node to extract text from receipt photos","LLaMA via OpenRouter to parse, categorize and structure expense data","Formatted summary sent back to the user's Telegram chat","Customizable prompts, categories, and summary formatting (JS node editable)"],"target_audience":["Individuals and freelancers who track expenses","Small business owners wanting simple receipt digitization","n8n self-hosted users looking for free OCR + AI workflow templates"]}


name: Generate and Publish SEO-Optimized Blog Posts to WordPress
author_name: Khairul Muhtadin
author_username: khmuhtadin
categories: []
created_at: 2025-05-24T15:15:09.681Z
updated_at: 2025-05-24T15:15:09.681Z
url: https://n8n.io/workflows/4362
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  BlogBlitz is a powerful n8n workflow that automates the creation and publishing of SEO-optimized blog posts to WordPress, saving you hours of manual content creation. Triggered on a schedule or via Telegram, it generates high-quality, 1,500–2,500-word articles complete with titles, slugs, meta descriptions, images, and more.

  🎯 Who is this for?

  Bloggers** who want fresh, consistent content.
  Content marketers** aiming for SEO efficiency.
  WordPress site owners** looking to automate blog publishing without sacrificing quality.

  🚨 Problem Solved

  Manually creating engaging, SEO-friendly content is time-consuming and requires writing expertise. BlogBlitz solves this by:

  Automating ideation, writing, formatting, and publishing.
  Generating images and SEO elements.
  Keeping your blog active and visible to search engines.

  ⚙️ What This Workflow Does

  | Feature               | Description                                                                                                                             |
  | --------------------- | --------------------------------------------------------------------------------------------------------------------------------------- |
  | Triggers          | - Runs every 3 hours via Schedule Trigger- Or on-demand via Telegram command: /generate                                   |
  | Generates Content | Uses OpenRouter to: - Select a category (Technology, AI, etc.)- Create a title, slug, focus keyphrase, and meta description |
  | Writes Articles   | OpenAI generates 1,500–2,500-word articles:- SEO-optimized- Structured with headings- Includes CTA                      |
  | Adds Visuals      | Generates realistic featured images with OpenAI and uploads them to WordPress                                                       |
  | SEO Features      | Generates:- Optimized slug- Focus keyphrase- Meta description                                                               |
  | Publishes         | Posts directly to WordPress:- With correct category- Featured image- Author ID                                          |
  | Notifies          | Sends publish alerts via Discord webhook and Telegram message                                                                   |

  🚀 Setup Instructions

  ✅ Requirements

  Self-hosted or cloud n8n instance
  Stable internet connection

  🔐 Credentials Needed

  WordPress API** (wp-json/wp/v2)
  OpenAI API** (text + image generation)
  OpenRouter API** (category & title generation)
  Telegram Bot API**
  Discord Webhook**

  🔧 WordPress Configuration

  Set up post categories:

    Technology [ID:3]
    AI [ID:4]
    Tech Fact [ID:7]
    Tech History [ID:8]
    Tech Tips [ID:9]
  Use admin user ID for publishing (default: 1)

  🧩 Node Setup

  Telegram Trigger** — Initiates workflow with /generate
  Schedule Trigger** — Runs workflow every 3 hours
  Edit Fields Node** — Centralizes variable setup (e.g., category IDs)
  OpenRouter Node** — Generates topic and meta info
  OpenAI Node** — Generates full article and image
  WordPress Node** — Publishes post
  Discord Node** — Sends publish alert
  HTTP Request Node** — Handles image upload or utility calls

  🛠️ Customization Tips

  | Feature           | How to Customize                                     |
  | ----------------- | ---------------------------------------------------- |
  | Categories    | Update category IDs in the WordPress Post Draft node |
  | Schedule      | Modify the interval in the Schedule Trigger      |
  | Tone & Style  | Adjust prompts in the LLM Chain node             |
  | Notifications | Add Slack, Email, or other channels                  |
  | Image Style   | Change OpenAI prompt for “vivid”, “natural”, etc.    |

  📦 Pre-Requirements

  n8n Instance** (Cloud/Self-hosted)
  Install: @n8n/n8n-nodes-langchain
  All required API credentials configured
  WordPress categories set
  Admin user ID available

  🔧 Nodes Used

  Telegram Trigger
  Schedule Trigger
  OpenRouter
  OpenAI
  WordPress
  Discord
  HTTP Request

  ✅ Test the Workflow

  Deploy and connect your n8n instance.
  Send /generate to your Telegram bot.
  Check your WordPress site for the newly published post!
  Made by: Khaisa Studio  
  Tag: youtube, summarizer, telegram, openai  
  Category: AI Automation, Video Tools
  Need a custom? contact me on LinkedIn or Web

nodes_used:
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metadata_json:
  {"categories":["automation","content-generation","integration","seo"],"complexity":"complex","use_cases":["Automate creation of long-form, SEO-optimized blog posts","Scheduled or on-demand publishing to WordPress","Auto-generate SEO metadata (title, slug, meta description, focus keyphrase)","Generate and upload featured images","Send publish notifications via chat/webhook channels"],"estimated_setup_minutes":45,"required_services":["n8n instance (self-hosted or cloud)","WordPress API (wp-json/wp/v2)","OpenAI API (text + image generation)","OpenRouter API","Telegram Bot API","Discord Webhook","Stable internet connection"],"key_features":["Schedule trigger (every 3 hours) and Telegram on-demand trigger","Category, title, slug and meta generation via OpenRouter","1,500–2,500-word SEO-optimized article generation via OpenAI","Featured image generation and upload to WordPress","Direct publish to WordPress with category and author ID mapping\n(notifications via Discord/Telegram)"],"target_audience":["Bloggers","Content marketers/SEO specialists","WordPress site owners and managers"]}


name: 🤖💬 Conversational AI Chatbot with Google Gemini for Text & Image | Telegram
author_name: Alan Bajaña Granizo
author_username: thecrawlerzero
categories: []
created_at: 2025-05-24T20:40:13.992Z
updated_at: 2025-05-24T20:40:13.992Z
url: https://n8n.io/workflows/4365
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  🤖💬 Conversational AI Chatbot with Google Gemini for Text & Image | Telegram

  Overview 📋  
  Flexible and scalable chatbot template, designed mainly for Spanish conversations but capable of handling English and other languages. Integrates Google Gemini API for text and image generation, and Telegram for messaging. Supports multiple output types with potential for video, audio, and more.

  How It Works

  Modular Architecture & Extensibility ⚙️  
  Separate modules for data extraction, intent analysis, and adaptive response generation.  
  Easily extendable with additional tools, databases, or APIs.  

  Context & Memory Handling 🧠  
  Session-based volatile memory maintains conversation coherence.  
  Allows updates or modifications to previous images based on new requests (e.g., add a hat to a dog 🐶).  

  Intent Detection & Classification 🔍  
  Google Gemini accurately classifies user intent.  
  Two-step validation ensures context-aware, precise replies.

  Content Generation & Output ✍️🖼️  
  Generates text and images based on intent and context.  
  Designed for Telegram but adaptable to other platforms and media types (audio, video).

  Key Benefits ✅  
  Scalable, customizable, and production-ready architecture.  
  Supports multiple content formats: text, images, audio, and video.  
  Dynamic context and memory management for smooth, coherent conversations.  
  Native integration with Google Gemini and Telegram ensures reliable and seamless operation.  
  Suitable for diverse use cases and easy to extend with new tools or platforms.

  Use Cases 💼  
  Customer support virtual assistants.  
  On-demand multimedia content creation.  
  Marketing and user engagement bots.  
  AI conversational prototypes and pilots.

  Requirements 👨‍💻  
  n8n instance (self-hosted or cloud)  
  Google Gemini API credentials  
  Telegram bot setup (optional but recommended)

  Active member of the Polytechnic Artificial Intelligence Club (CIAP) at ESPOL.

nodes_used:
  ["n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.chainLlm","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.switch","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.convertToFile","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.memoryManager","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.code","n8n-nodes-base.switch","n8n-nodes-base.telegramTrigger","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["conversational AI","integration","content generation","automation"],"complexity":"complex","use_cases":["Customer support virtual assistant","On-demand multimedia content generation (text & images)","Marketing and user engagement bots","AI conversational prototypes and pilots","Multilingual chatbots (Spanish-first, supports English and others)"],"estimated_setup_minutes":60,"required_services":["n8n (self-hosted or cloud)","Google Gemini API (credentials)","Telegram Bot (API token)"],"key_features":["Google Gemini-powered text and image generation","Session-based volatile memory for context coherence","Intent detection and two-step validation","Modular, extensible architecture (separate extraction, intent, response modules)","Supports multiple output formats and easy extension to audio/video"],"target_audience":["Developers building chatbots","Product teams and startup founders","Marketing and community managers (engagement/content creation)"]}


name: Automate Email & Calendar Management with Gmail, Google Calendar & GPT-4o AI
author_name: AOE Agent Lab
author_username: aoepeople
categories: []
created_at: 2025-05-24T22:05:58.327Z
updated_at: 2025-05-24T22:05:58.327Z
url: https://n8n.io/workflows/4366
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  Boost your productivity with this AI-powered email and calendar assistant:

  This AI-powered template has 2 workflows. It manages your Gmail inbox and Google Calendar, classifies emails with custom labels, and suggests replies and meeting times — all fully automated with OpenAI and n8n.


  Automatically analyze your Gmail inbox

  Suggest replies, priorities, and meeting times

  Checks your Google Calendar for conflicts and free slots

  Maintain conversation context using Thread History Vector Store

  The agent proactively acts using a Tools Agent architecture, with integrated memory and real-time tool invocation. It's perfect for busy professionals who want a personal assistant for communication and scheduling.

  Included features:

  ✅ Do actions on incoming mails 8like Labeling etc)
  ✅ Summarize and Assist fot the latest emails
  ✅ Draft replies and schedule meetings contextually
  ✅ Handle time zone conversion and MessageID referencing
  ✅ Context retention of last conversation history - using VectorStore

  📦 Requirements:

  Gmail + Google Calendar credentials via n8n credentials

  OpenAI API key

  n8n VectorStore nodes (or external integration like Pinecone, Qdrant, or Chroma)

nodes_used:
  ["@n8n/n8n-nodes-langchain.chatTrigger","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.executeWorkflowTrigger","n8n-nodes-base.noOp","n8n-nodes-base.gmailTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.stickyNote","n8n-nodes-base.manualTrigger","n8n-nodes-base.gmail","n8n-nodes-base.gmail","@n8n/n8n-nodes-langchain.embeddingsOpenAi","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","@n8n/n8n-nodes-langchain.textSplitterTokenSplitter","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.embeddingsOpenAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.gmailTool","n8n-nodes-base.gmailTool","n8n-nodes-base.gmailTool","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.stickyNote","n8n-nodes-base.gmailTrigger","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.gmail","n8n-nodes-base.stickyNote","n8n-nodes-base.gmailTool","@n8n/n8n-nodes-langchain.toolVectorStore","n8n-nodes-base.gmail","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.textClassifier","@n8n/n8n-nodes-langchain.vectorStoreInMemory","@n8n/n8n-nodes-langchain.vectorStoreInMemory","@n8n/n8n-nodes-langchain.vectorStoreInMemory","n8n-nodes-base.stickyNote","n8n-nodes-base.dateTimeTool"]

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metadata_json:
  {"categories":["automation","integration","productivity","scheduling","AI-assistant"],"complexity":"complex","use_cases":["Automated inbox management and labeling","Suggesting and drafting email replies using AI","Contextual meeting scheduling and conflict checking","Summarizing recent conversation threads","Maintaining conversation context with a vector store for follow-ups"],"estimated_setup_minutes":45,"required_services":["n8n (self-hosted or cloud)","Gmail (OAuth credentials)","Google Calendar (OAuth credentials)","OpenAI (GPT-4o API key)","n8n VectorStore nodes or external vector DB (Pinecone, Qdrant, Chroma) for thread history"],"key_features":["Automated analysis of incoming Gmail messages","Custom labeling and priority classification","AI-suggested replies and draft generation (GPT-4o)","Context-aware meeting time suggestions and calendar conflict checks","Thread History stored in VectorStore for context retention across conversations"],"target_audience":["Busy professionals and executives","Virtual assistants and schedulers","Small teams wanting automated communications workflows (sales, recruiting, support)"]}


name: AI Real Estate Agent: End-to-End Ops Automation (Web, Data, Voice)
author_name: Sam Yassine
author_username: samyassine
categories: []
created_at: 2025-05-25T01:59:42.452Z
updated_at: 2025-05-25T01:59:42.452Z
url: https://n8n.io/workflows/4368
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:32
description:
  This suite automates distinct aspects of real estate operations: incoming web lead qualification, scheduled/manual data research and content generation, and automated voice call outreach with lead qualification. It leverages AI (primarily OpenAI GPT-4o Mini via Langchain), data processing nodes, and integrations with external APIs and Google Workspace.

  Workflow 1: Incoming Web Lead Qualification & Scoring
  This workflow captures leads from a web source, validates their input, uses AI to classify intent and urgency, checks against a property database, scores the lead, and prepares a structured lead object.

  Tools & Services Used:

  AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Agent and Chat Model nodes)
  Data Processing: n8n Set, If, Code nodes
  External API: HTTP Request node (for PropertyCheckAPI)
  Workflow Overview:
  Trigger:
  Incoming Web Lead Webhook (/incoming-lead): Captures new leads submitted via a web form.
  Lead Data Ingestion & Validation:
  Set & Rename Incoming Lead Fields: Standardizes input field names from the webhook.
  IF User Message Valid: Checks if the userMessage field is present and meets a minimum length.
  Clean User Message Text (Code): Pre-processes the user's message (e.g., removes extra spaces).
  AI-Powered Lead Analysis:
  AI Classify Lead Intent & Urgency (Langchain Agent): Analyzes the cleaned user message to determine the lead's primary intent (e.g., buying, selling, inquiry) and the urgency of their request.
  Powered by: LLM for Lead Intent/Urgency Classification (OpenAI Chat Model - GPT-4o Mini).
  Extract Intent & Urgency from AI Output (Set): Structures the AI's classification into distinct fields.
  Data Standardization & Enrichment:
  Standardize All Lead Data Fields (Code): Further standardizes all collected data points for consistency.
  Call Property Check API (HTTP Request): Sends lead/property details to an external API (https://api.example.com/property-check) to verify listing status or gather more information.
  Lead Scoring & Finalization:
  IF Property is Known Listing: Checks the API response to see if a matchFound was "true".
  Calculate Web Lead Score (Code): If a known listing (or based on other criteria), this node assigns a numerical or categorical score to the lead.
  Set Final Structured Web Lead Data (Set): Consolidates all original, processed, classified, and scored data into a final, comprehensive lead object.
  Workflow 2: Scheduled/Manual AI-Powered Data Research & Content Generation (Red Background)
  This workflow fetches data from external URLs, extracts information using AI, allows a sophisticated AI agent to perform research and generate analysis using various tools, and outputs results to Google Sheets, Google Docs, and potentially other AI processing steps.

  Tools & Services Used:
  Orchestration & Automation: n8n
  AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Information Extractor, Langchain Agent, and direct OpenAI nodes)
  AI Tools: Langchain Calculator, Langchain SerpAPI
  Data Storage & Output: Google Sheets, Google Docs
  Data Input: HTTP Request node

  Workflow Overview:
  Triggers:
  Manual Trigger for Data Analysis Flow: Allows on-demand execution.
  Scheduled Trigger for Data Analysis Flow: Automates execution on a defined schedule.
  Data Ingestion & Initial Extraction:
  Fetch External Data for AI Analysis (HTTP Request): Retrieves content from a specified URL.
  AI Extract Information from Fetched Data (Langchain Information Extractor): Uses an AI model to extract structured data from the fetched content.
  Powered by: LLM for Data Information Extractor (OpenAI Chat Model - GPT-4o Mini).
  Advanced AI Analysis & Tasking:
  AI Agent for Research & Content Generation (Langchain Agent): Processes the extracted information to perform in-depth research, analysis, or content creation.
  Powered by: LLM for Research & Content AI Agent (OpenAI Chat Model - GPT-4o Mini).
  Utilizes Tools:
  Calculator Tool for AI Agent: For numerical calculations.
  SerpAPI Web Search Tool for AI Agent: For performing real-time web searches to gather additional context or verify information.
  Output & Dissemination:
  The AI Agent's output is routed to multiple destinations:
  Update Google Doc with AI Agent Analysis (Google Docs): Inserts the generated analysis/content into a Google Document.
  Split AI Agent Output Items (Split Out) -&gt; Log AI Analysis Data to Google Sheets (Google Sheets): If the agent produces multiple data items, they are split and logged individually into a Google Sheet.
  OpenAI: Generate Text from Agent (Output 1) & OpenAI: Generate Text from Agent (Output 2): These nodes likely take the agent's output for further specialized AI processing (e.g., summarization for different purposes, reformatting).
  Workflow 3: Automated Lead Outreach & Voice Call Qualification (Green Background)
  This workflow automates the initial contact with new leads via a voice call, uses AI to understand the lead's responses during the call, qualifies them, and logs the detailed interaction and a summary.
  Tools & Services Used:
  Orchestration & Automation: n8n
  AI Core & Processing: OpenAI (GPT-4o Mini via Langchain Agent and Chat Model nodes)
  Voice Services: ElevenLabs (Text-to-Speech via HTTP Request), Twilio (Place Call via HTTP Request)
  Data Storage & Output: Google Sheets
  Error Handling: n8n Execute Workflow Trigger
  Workflow Overview:
  Trigger:
  Webhook for Voice Call Lead (/new-lead): Captures new leads designated for an automated voice call.
  Call Preparation & Initiation:
  Set Initial Voice Call Lead Details: Extracts basic lead info (name, phone, property ref, email) from the webhook.
  Generate Voice Call Introduction Script (Function): Creates a personalized script for the call.
  ElevenLabs: Convert Intro Script to Voice (HTTP Request): Sends the script to ElevenLabs API to generate natural-sounding audio.
  Twilio: Initiate Voice Call to Lead (HTTP Request): Uses Twilio API to place the call and play the generated audio.
  AI-Powered Call Interaction Analysis:
  AI Agent: Extract Info from Voice Call (Langchain Agent): Processes the interaction from the call (e.g., a transcript of the lead's responses, or DTMF inputs if designed to capture them) to extract key qualification data like budget, timeline, and interest level.
  Powered by: LLM for Voice Call Info Extraction Agent (OpenAI Chat Model - GPT-4o Mini).
  Structure Extracted Voice Call Info (Function): Organizes the AI-extracted data into a structured JSON object.
  Lead Qualification & Data Logging:
  Set Lead Status Based on Call Interest: Updates the lead's status (e.g., "Interested" or "Not Interested") based on the AI's interpretation of the call.
  IF Lead Interested (from Voice Call): Branches the workflow based on lead status.
  If Interested:
  Assign Score to Interested Voice Lead (Function): Calculates a lead score based on budget, timeline, etc.
  Format Current Timestamp for Logging (DateTime): Generates a timestamp.
  Log Qualified Voice Lead to Google Sheets: Appends the detailed, qualified lead information to a 'Leads' Google Sheet.
  AI Agent: Generate Voice Call Lead Summary (Langchain Agent): Creates a concise summary of the entire lead interaction and qualification.
  Powered by: LLM for Voice Call Lead Summary Agent (OpenAI Chat Model - GPT-4o Mini).
  Log Voice Call Lead Summary to Google Sheets: Appends this summary to a separate 'LeadsSummary' Google Sheet.
  Error Handling (for Sheets Logging):
  IF Voice Lead Logging to Sheets Failed: Checks if the Google Sheets logging operation was unsuccessful.
  Error Trigger: Notify Admin of Sheets Failure (Execute Workflow Trigger): If logging fails, triggers a separate workflow to alert an administrator.

nodes_used:
  ["n8n-nodes-base.webhook","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.set","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.manualTrigger","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.informationExtractor","n8n-nodes-base.splitOut","n8n-nodes-base.googleSheets","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.toolCalculator","@n8n/n8n-nodes-langchain.toolSerpApi","n8n-nodes-base.googleDocs","@n8n/n8n-nodes-langchain.openAi","@n8n/n8n-nodes-langchain.openAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.set","n8n-nodes-base.function","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.function","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.function","n8n-nodes-base.dateTime","n8n-nodes-base.googleSheets","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.googleSheets","n8n-nodes-base.webhook","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","integration","ai","voice","data processing"],"complexity":"complex","use_cases":["Web lead capture, validation and automated scoring","Scheduled or manual AI-powered market/property research and content generation","Automated outbound voice outreach with TTS and call qualification","Enrichment of lead records via external property APIs","Logging and reporting to Google Sheets / Google Docs for ops and tracking"],"estimated_setup_minutes":180,"required_services":["n8n","OpenAI (GPT-4o Mini via Langchain and Chat models)","Langchain (Agents, Information Extractor, Calculator, SerpAPI tool)","SerpAPI (web search tool)","Google Sheets (Google Workspace OAuth)","Google Docs (Google Workspace OAuth)","Twilio (voice call API)","ElevenLabs (text-to-speech API)","PropertyCheckAPI (or equivalent property verification API)","Public HTTP webhooks / hosted endpoints"],"key_features":["Incoming webhook lead ingestion and field standardization","AI classification of lead intent and urgency (Langchain + OpenAI)","Property verification/enrichment via external PropertyCheck API","Configurable lead scoring and final structured lead object","Scheduled and manual flows for AI research and multi-destination content output (Docs, Sheets, further AI nodes)"],"target_audience":["Real estate agents and brokerages","Marketing and lead operations teams","Automation/DevOps engineers implementing workflows in n8n and AI integrations"]}


name: Convert Venmo Statement CSV File to QuickBooks CSV Import
author_name: Jason Plaisted
author_username: jplaisted
categories: []
created_at: 2025-05-25T02:07:11.856Z
updated_at: 2025-05-25T02:07:11.856Z
url: https://n8n.io/workflows/4369
scraped_at: 2025-09-14 19:11:02
metadata_generated_at: 2025-09-14 21:18:33
description:
  🧾 Say goodbye to manual Venmo-to-QuickBooks formatting!
  This automated workflow transforms raw Venmo CSV exports into QuickBooks-ready files and backs them up seamlessly to Google Drive or Dropbox.

  ⚙️ What This Workflow Does:

  📤 1. Accepts a Venmo CSV Upload
  — Triggers on form submission to upload a .csv Venmo transaction file.

  📂 2. Extracts Raw CSV Data
  — Reads the uploaded file and prepares it for processing.

  🛠️ 3. Generates a Smart File Name
  — Dynamically names the output file using the transaction month and timestamp:
  QB_Venmo_YYYY-MM_HHMM.csv.

  🔄 4. Converts Raw Venmo Data
  — Filters invalid rows and transforms valid transactions into QuickBooks-friendly format:
   • Standardizes field names (e.g., Amount (total) → Amount)
   • Builds descriptive transaction summaries based on context (e.g., transfers vs payments)

  📝 5. Creates a New CSV File
  — Structures the processed data into a new downloadable CSV.

  ☁️ 6. Saves to Google Drive
  — Automatically uploads the finalized file to your selected folder in Google Drive.

  📦 7. (Optional) Backs Up to Dropbox
  — Also configured to upload to Dropbox (currently disabled).

nodes_used:
  ["n8n-nodes-base.extractFromFile","n8n-nodes-base.convertToFile","n8n-nodes-base.dropbox","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.formTrigger","n8n-nodes-base.googleDrive"]

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metadata_json:
  {"categories":["automation","data processing","file management","accounting","integration"],"complexity":"medium","use_cases":["Convert Venmo transaction CSVs into QuickBooks-compatible import files","Automate bookkeeping CSV formatting and cleanup","Create descriptive transaction summaries and standardize field names","Automatically back up processed files to cloud storage"],"estimated_setup_minutes":15,"required_services":["Venmo CSV export (source file upload)","n8n Form or HTTP endpoint (for file upload trigger)","Google Drive (for automatic save)","Dropbox (optional, for backup)"],"key_features":["Accepts Venmo CSV upload via form trigger","Reads and parses raw CSV, filters invalid rows","Transforms and maps Venmo fields to QuickBooks format","Builds contextual transaction descriptions (payments vs transfers)","Generates smart filename (QB_Venmo_YYYY-MM_HHMM.csv) dynamically"],"target_audience":["small business owners","bookkeepers","accountants and finance teams doing manual imports into QuickBooks"]}


name: Auto Meeting Summarizer with Google Drive, OpenAI Whisper & GPT-4 to Sheets
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T05:37:57.429Z
updated_at: 2025-05-25T05:37:57.429Z
url: https://n8n.io/workflows/4370
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  🎤 Audio-to-Insights: Auto Meeting Summarizer

  Transform your meeting recordings into actionable insights automatically. This powerful n8n workflow monitors your Google Drive for new audio files, transcribes them using OpenAI's Whisper, generates intelligent summaries with ChatGPT, and logs everything in Google Sheets - all without lifting a finger.

  🔄 How It Works

  This workflow operates as a seamless 6-step automation pipeline:

  Step 1: Smart Detection
  The workflow continuously monitors a designated Google Drive folder (polls every minute) for newly uploaded audio files.

  Step 2: Secure Download
  When a new audio file is detected, the system automatically downloads it from Google Drive for processing.

  Step 3: AI Transcription
  OpenAI's Whisper technology converts your audio recording into accurate text transcription, supporting multiple audio formats.

  Step 4: Intelligent Summarization
  ChatGPT processes the transcript using a specialized prompt that extracts:
  Key discussion points and decisions
  Action items with assigned persons and deadlines
  Priority levels and follow-up tasks
  Clean, professional formatting

  Step 5: Timestamp Generation
  The system automatically adds the current date and formats it consistently for tracking purposes.

  Step 6: Automated Logging
  The final summary is appended to your Google Sheets document with the date, creating a searchable archive of all meeting insights.

  ⚙️ Setup Steps

  Prerequisites
  Before setting up the workflow, ensure you have:
  Active Google Drive account
  OpenAI API key with credits
  Google Sheets access
  n8n instance (cloud or self-hosted)

  Configuration Steps

  1. Credential Setup
  Google Drive OAuth2**: Required for folder monitoring and file downloads
  OpenAI API Key**: Needed for both transcription (Whisper) and summarization (ChatGPT)
  Google Sheets OAuth2**: Essential for writing summaries to your spreadsheet

  2. Google Drive Configuration
  Create a dedicated folder in Google Drive for meeting recordings
  Copy the folder ID from the URL (the long string after /folders/)
  Update the folderToWatch parameter in the workflow

  3. Google Sheets Preparation
  Create a new Google Sheet or use an existing one
  Ensure it has columns: Date and Meeting Summary
  Copy the spreadsheet ID from the URL
  Update the documentId parameter in the workflow

  4. Audio Requirements
  Supported Formats**: MP3, WAV, M4A, MP4
  Recommended Size**: Under 100MB for optimal processing
  Language**: Optimized for English (customizable for other languages)
  Quality**: Clear audio produces better transcriptions

  5. Workflow Activation
  Import the workflow JSON into your n8n instance
  Configure all credential connections
  Test with a sample audio file
  Activate the workflow trigger

  🚀 Use Cases

  Project Management
  Team Standup Summaries**: Convert daily standups into actionable task lists
  Sprint Retrospectives**: Extract improvement points and action items
  Stakeholder Updates**: Generate concise reports for leadership

  Sales & Customer Success
  Discovery Call Notes**: Capture prospect pain points and requirements
  Demo Follow-ups**: Track questions, objections, and next steps
  Customer Check-ins**: Monitor satisfaction and expansion opportunities

  Consulting & Professional Services
  Client Strategy Sessions**: Document recommendations and implementation plans
  Requirements Gathering**: Organize complex project specifications
  Progress Reviews**: Track deliverables and milestone achievements

  HR & Training
  Interview Debriefs**: Standardize candidate evaluation notes
  Training Sessions**: Create searchable knowledge bases
  Performance Reviews**: Document development plans and goals

  Research & Development
  Brainstorming Sessions**: Capture innovative ideas and concepts
  Technical Reviews**: Log decisions and architectural choices
  User Research**: Organize feedback and insights systematically

  💡 Advanced Customization Options

  Enhanced Summarization
  Modify the ChatGPT prompt to focus on specific elements:
  Add speaker identification for multi-person meetings
  Include sentiment analysis for customer calls
  Generate department-specific summaries (technical, sales, legal)
  Extract financial figures and metrics automatically

  Integration Expansions
  Slack Integration**: Auto-post summaries to relevant channels
  Email Notifications**: Send summaries to meeting participants
  CRM Updates**: Push action items directly to Salesforce/HubSpot
  Calendar Integration**: Schedule follow-up meetings based on action items

  Quality Improvements
  Audio Preprocessing**: Add noise reduction before transcription
  Multi-language Support**: Configure for international teams
  Custom Templates**: Create industry-specific summary formats
  Approval Workflows**: Add human review before final storage

  🛠️ Troubleshooting & Best Practices

  Common Issues
  Large File Processing**: Split recordings over 100MB into smaller segments
  Poor Audio Quality**: Use noise reduction tools before uploading
  API Rate Limits**: Implement delay nodes for high-volume usage
  Formatting Issues**: Adjust ChatGPT prompts for consistent output

  Optimization Tips
  Upload files in supported formats only
  Ensure stable internet connection for cloud processing
  Monitor OpenAI API usage and costs
  Regularly backup your Google Sheets data
  Test workflow changes with sample files first

  📊 Expected Outputs

  Sample Summary Format:
  Meeting Summary - March 15, 2024

  Key Discussion Points:
  Q1 budget review and allocation decisions
  New product launch timeline and milestones
  Team restructuring and role assignments

  Action Items:
  John: Finalize budget proposal by March 20th (High Priority)
  Sarah: Schedule product demo sessions for March 25th
  Team: Submit org chart feedback by March 18th

  Decisions Made:
  Approved additional marketing budget of $50K
  Delayed product launch to April 15th for quality assurance
  Promoted Lisa to Senior Developer role

  📞 Questions & Support

  For any questions, customizations, or technical support regarding this workflow:

  📧 Email Support
  Primary Contact**: Yaron@nofluff.online
  Response Time**: Within 24 hours on business days
  Best For**: Setup questions, customization requests, troubleshooting

  🎥 Learning Resources
  YouTube Channel**: https://www.youtube.com/@YaronBeen/videos
    Step-by-step setup tutorials
    Advanced customization guides  
    Workflow optimization tips

  🔗 Professional Network
  LinkedIn**: https://www.linkedin.com/in/yaronbeen/
    Connect for ongoing support
    Share your workflow success stories
    Get updates on new automation ideas

  💡 What to Include in Your Support Request
  Describe your specific use case
  Share any error messages or logs
  Mention your n8n version and setup type
  Include sample audio file characteristics (if relevant)

  Ready to transform your meeting chaos into organized insights? Download the workflow and start automating your meeting summaries today!

nodes_used:
  ["n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.googleDrive","@n8n/n8n-nodes-langchain.openAi","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.dateTime","n8n-nodes-base.dateTime","n8n-nodes-base.googleSheets","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","integration","AI-powered transcription","productivity"],"complexity":"medium","use_cases":["Automated meeting transcription and summaries","Extracting action items and decisions","Archiving searchable meeting notes in Google Sheets","Sales and customer call summarization","Interview and training session documentation"],"estimated_setup_minutes":25,"required_services":["n8n instance (cloud or self-hosted)","Google Drive (OAuth2)","Google Sheets (OAuth2)","OpenAI API (Whisper for transcription and GPT-4/ChatGPT for summarization)"],"key_features":["Monitors a Google Drive folder for new audio files (polling)","Automatically downloads audio files from Drive","Transcribes audio using OpenAI Whisper","Generates structured summaries and action items via GPT-4/ChatGPT prompt","Appends dated summaries to Google Sheets for searchable archive format support for MP3/WAV/M4A/MP4"],"target_audience":["Product managers and team leads","Sales and customer success reps","Consultants and professional services teams (project documentation)  - HR and training teams (interviews, sessions)  - Researchers and R&D teams"]}


name: Automate Blog Content Creation with OpenAI, Google Sheets & Email Approval Flow
author_name: Billy Christi
author_username: billy
categories: []
created_at: 2025-05-25T05:40:26.527Z
updated_at: 2025-05-25T05:40:26.527Z
url: https://n8n.io/workflows/4371
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  Who is this for?
  This workflow is perfect for:
  Digital marketers who need to scale SEO-optimized content production
  Bloggers and content creators who want to maintain consistent publishing schedules
  Small business owners who need regular blog content but lack writing resources

  What problem is this workflow solving?
  Creating high-quality, SEO-optimized blog content consistently is time-consuming and resource-intensive. This workflow solves that by:
  Automating the content generation process from topic to final draft
  Ensuring quality control through human-in-the-loop approval
  Managing topic queues and preventing duplicate content creation
  Streamlining the revision process based on human feedback
  Organizing and archiving all generated content for future reference

  What this workflow does
  From topics stored in Google Sheets, this workflow:
  Automatically retrieves pending topics from your Google Sheets tracking document
  Generates SEO-optimized blog posts (800-1200 words) using OpenAI GPT-4 with structured prompts
  Sends content for human approval via email with custom approval forms
  Handles revision requests by incorporating feedback while maintaining SEO best practices
  Updates topic status to prevent duplicate processing
  Add approved generated content in Google Sheets for easy access and management
  Routes workflow based on approval decisions (approve, revise, or cancel)

  Setup
  Copy the Google Sheet template here:
  👉 Automate Blog Content Creation – Google Sheet Template
  Connect Google Sheets with your topic tracking document (requires "Topic List" and "Generated Content" sheets)
  Add your OpenAI API key to the AI agent nodes for content generation
  Configure Gmail for the approval notification system
  Set up your topic list in Google Sheets with "Topic" and "Status" columns
  Customize the schedule trigger to run at your preferred intervals
  Update email recipient in the approval node to your email address
  Test with a sample topic marked as "Pending" in your Google Sheet

  How to customize this workflow to your needs
  Adjust content length**: modify the word count requirements in the AI agent prompts
  Change writing style**: customize the copywriter prompts for different tones (formal, casual, technical)
  Add multiple reviewers**: extend the approval system to include additional stakeholders
  Integrate with CMS**: add nodes to automatically publish approved content to WordPress, Webflow, or other platforms
  Include keyword research**: add Ahrefs or SEMrush nodes to incorporate keyword data
  Add image generation**: integrate DALL-E or Midjourney for automatic featured image creation
  Customize approval criteria**: modify the approval form to include specific feedback categories
  Add content scoring**: integrate readability checkers or SEO analysis tools before approval

  Contact me for consulting and support:   
  📧 billychartanto@gmail.com

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name: Generate Product Ad Copy & CTAs with GPT-4 for Slack and Airtable
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T05:42:40.330Z
updated_at: 2025-05-25T05:42:40.330Z
url: https://n8n.io/workflows/4372
scraped_at: 2025-09-14 19:11:01
description:
  ⚡ AI Copywriter Pro: Instant Ad Copy & CTA Generator

  Transform product details into compelling marketing copy in seconds. This intelligent n8n workflow takes basic product information and generates professional ad copy with powerful calls-to-action using GPT-4, then distributes the results to your team via Slack or stores them in Airtable for future use.

  🚀 How It Works

  This streamlined 4-step automation delivers professional marketing copy instantly:

  Step 1: Simple Form Input
  Users submit basic product information through a clean web form - just product name and key features required.

  Step 2: AI-Powered Generation
  The workflow sends product details to GPT-4 with a specialized copywriting prompt that creates:
  Compelling 2-sentence ad copy optimized for conversions
  3 powerful call-to-action phrases with different urgency levels
  Professional tone tailored for marketing campaigns

  Step 3: Structured Processing
  The AI response is automatically parsed into clean, labeled fields ready for immediate use across marketing channels.

  Step 4: Multi-Channel Distribution
  Generated content is simultaneously:
  Posted to your designated Slack channel for team review
  Logged in Airtable for campaign tracking and reuse

  ⚙️ Setup Steps

  Prerequisites
  Active OpenAI API account with GPT-4 access
  Slack workspace with admin permissions
  Airtable account for content storage
  n8n instance (cloud or self-hosted)

  Configuration Steps

  1. Credential Setup
  OpenAI API Key**: Required for GPT-4 content generation
  Slack OAuth2**: Needed for posting messages to channels
  Airtable Personal Access Token**: Essential for database operations

  2. Form Configuration
  The workflow automatically generates a web form at: your-n8n-instance.com/form/[webhook-id]
  Form fields are pre-configured for:
    Product Name (text input)
    Product Features (textarea for detailed descriptions)
  Form can be embedded on websites or shared as standalone link

  3. Slack Integration Setup
  Connect your Slack workspace to n8n
  Create or select target channel for ad copy notifications
  Update the channelId parameter with your channel's ID
  Test connection with sample message

  4. Airtable Database Preparation
  Create new base or use existing one
  Set up table with columns:
    Product Name (Single line text)
    Product Features (Long text)
    Ad Copy (Long text)
    CTAs (Long text)
  Copy base and table IDs from Airtable URLs
  Update workflow parameters accordingly

  5. AI Prompt Customization
  The default prompt generates versatile marketing copy, but you can customize for:
  Industry-specific terminology
  Brand voice and tone
  Target audience demographics
  Campaign objectives (awareness, conversion, retention)

  🎯 Use Cases

  E-commerce & Retail
  Product Launch Campaigns**: Generate copy for new product announcements
  Seasonal Promotions**: Create urgency-driven messaging for sales events
  Category Pages**: Develop compelling descriptions for product collections
  Social Media Ads**: Produce scroll-stopping copy for Facebook and Instagram

  SaaS & Technology
  Feature Announcements**: Craft clear, benefit-focused messaging
  Free Trial Campaigns**: Generate conversion-optimized trial signup copy
  Case Study Promotions**: Create compelling success story headlines
  Webinar Marketing**: Develop registration-driving event descriptions

  Agency & Freelance
  Client Presentations**: Rapidly prototype copy concepts for pitches
  A/B Testing**: Generate multiple copy variations for campaign testing
  Campaign Brainstorming**: Kickstart creative sessions with AI-generated ideas
  Content Calendar Filling**: Populate social media schedules efficiently

  Startup & Small Business
  MVP Marketing**: Create professional copy without hiring agencies
  Investor Pitches**: Generate compelling product descriptions
  Website Content**: Populate landing pages with conversion-focused copy
  Email Campaigns**: Develop subject lines and promotional content

  Content Marketing
  Blog Post Promotions**: Generate social media copy for article shares
  Newsletter CTAs**: Create compelling subscription and engagement prompts
  Video Descriptions**: Develop YouTube and social video copy
  Podcast Promotions**: Generate episode descriptions and listener CTAs

  🔧 Advanced Customization Options

  Multi-Tone Generation
  Modify the prompt to generate different copy styles:
  Professional & Corporate: "Generate formal, trust-building copy..."
  Casual & Friendly: "Create conversational, approachable messaging..."
  Urgent & Scarcity: "Develop time-sensitive, action-driving copy..."
  Luxury & Premium: "Craft sophisticated, high-end positioning..."

  Batch Processing Enhancement
  Add nodes for processing multiple products:
  Split in Batches**: Handle bulk product lists
  Merge**: Combine results for team review
  Item Lists**: Process CSV uploads of product catalogs

  Quality Control Integration
  Implement approval workflows:
  Human Review Step**: Add manual approval before publishing
  Sentiment Analysis**: Score copy for emotional impact
  Brand Guidelines Check**: Validate against company voice standards
  A/B Test Setup**: Generate multiple variations automatically

  Extended Distribution
  Connect additional platforms:
  Email Marketing**: Send to Mailchimp, ConvertKit, or HubSpot
  Social Media**: Post directly to Facebook, Twitter, LinkedIn
  CMS Integration**: Push to WordPress, Webflow, or custom sites
  Project Management**: Create tasks in Asana, Trello, or Monday.com

  📊 Output Examples

  Sample Input:
  Product Name: EcoSmart Water Bottle
  Product Features: Self-cleaning UV technology, 24-hour temperature retention, BPA-free stainless steel, leak-proof design, 500ml capacity

  Generated Ad Copy:
  Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable.

  CTAs:
  • Order Your EcoSmart Bottle Today
  • Join the Clean Hydration Revolution  
  • Get 24-Hour Freshness Now

  Slack Notification Format:
  🎯 NEW AD COPY GENERATED

  Product: EcoSmart Water Bottle

  📝 Ad Copy:
  Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable.

  🔥 Call-to-Actions:
  • Order Your EcoSmart Bottle Today
  • Join the Clean Hydration Revolution  
  • Get 24-Hour Freshness Now

  Ready to use in campaigns! 🚀

  🛠️ Troubleshooting & Best Practices

  Common Issues & Solutions

  API Rate Limits
  Monitor OpenAI usage dashboard
  Implement delay nodes for high-volume processing
  Consider upgrading to higher tier plans

  Inconsistent Output Quality
  Refine prompts with specific examples
  Add output validation rules
  Include brand guidelines in system prompt

  Integration Failures
  Verify all API credentials are current
  Test connections individually before full workflow
  Check service status pages for outages

  Optimization Strategies

  Cost Management
  Use GPT-4o-mini for routine copy generation
  Reserve GPT-4 for premium campaigns
  Cache common responses to reduce API calls

  Quality Enhancement
  A/B test different prompt variations
  Collect team feedback on generated copy
  Maintain library of high-performing examples

  Workflow Efficiency
  Set up monitoring alerts for failures
  Create backup workflows for critical campaigns
  Document customizations for team reference

  📈 Performance Tracking

  Key Metrics to Monitor
  Generation Speed**: Average time from input to output
  Approval Rate**: Percentage of AI copy used without edits
  Campaign Performance**: Click-through rates of AI-generated content
  Cost Per Copy**: API costs per generated piece

  Success Indicators
  Reduced copywriting turnaround time (target: under 30 seconds)
  Increased campaign launch frequency
  Higher team satisfaction with copy quality
  Measurable improvement in conversion rates

  📞 Questions & Support

  Need help setting up or customizing your AI Copywriter Pro workflow?

  📧 Direct Support
  Email**: Yaron@nofluff.online
  Response Time**: Within 24 hours on business days
  Specialties**: Custom prompt engineering, integration troubleshooting, workflow optimization

  🎥 Video Tutorials
  YouTube Channel**: https://www.youtube.com/@YaronBeen/videos
    Complete setup walkthrough
    Advanced customization techniques
    Integration with popular marketing tools
    Prompt engineering masterclass

  🤝 Professional Network
  LinkedIn**: https://www.linkedin.com/in/yaronbeen/
    Connect for ongoing automation support
    Share your copywriting success stories
    Get early access to new workflow templates

  💬 What to Include in Support Requests
  Your specific industry or use case
  Current marketing tools and platforms
  Sample products you want to test with
  Any custom requirements or brand guidelines
  Screenshots of any errors or unexpected outputs

  Ready to revolutionize your copywriting process? Deploy this workflow and watch your marketing team's productivity soar while maintaining professional, conversion-focused messaging!

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name: Automate Reddit Trend Analysis with GPT-4 and Slack/Gmail Distribution
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T05:45:03.463Z
updated_at: 2025-05-25T05:45:03.463Z
url: https://n8n.io/workflows/4373
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  🤖 AI Reddit Scout Agent: Auto Post Analysis & Insights
  Stay ahead of trends and conversations with this intelligent n8n workflow that automatically monitors Reddit, analyzes discussions using AI, and delivers actionable insights to your team via Slack and Gmail. Perfect for market research, content inspiration, and competitive intelligence.
  🔄 How It Works
  This automated 4-step intelligence gathering system runs daily to keep you informed:
  Step 1: Scheduled Monitoring
  The workflow automatically triggers daily (default: 9 AM) to scan Reddit for fresh discussions and trending topics.
  Step 2: Smart Content Retrieval
  The Reddit API integration searches specified subreddits using customizable filters:

  Target subreddits (e.g., r/ChatGPT, r/technology, r/startups)
  Keyword matching for specific topics
  Post ranking criteria (hot, top, new)
  Engagement thresholds (upvotes, comments)

  Step 3: AI-Powered Analysis
  Each retrieved post is processed by GPT-4 through a specialized agent that:

  Extracts key discussion points and themes
  Classifies topics in 3-5 word categories
  Generates concise one-sentence summaries
  Identifies sentiment and engagement patterns
  Highlights actionable insights and trends

  Step 4: Multi-Channel Distribution
  Analyzed insights are automatically delivered to:

  Slack channels for immediate team visibility
  Gmail inboxes for stakeholders and decision-makers
  Formatted with links back to original Reddit discussions

  ⚙️ Setup Steps
  Prerequisites

  Reddit account (for API access)
  OpenAI API key with GPT-4 access
  Slack workspace with posting permissions
  Gmail account for email distribution
  n8n instance (cloud or self-hosted)

  Configuration Steps
  Credential Setup

  Reddit API: Configure Reddit node with API credentials
  OpenAI API Key: Required for AI analysis and summarization
  Slack OAuth2: Connect workspace for channel posting
  Gmail OAuth2: Enable email distribution functionality

  Reddit Configuration

  Subreddit Selection: Define target communities to monitor

  Professional: r/entrepreneur, r/marketing, r/sales
  Technology: r/artificial, r/MachineLearning, r/programming
  Industry-specific: r/fintech, r/biotech, r/startups


  Search Parameters: Set keywords and filters

  Keywords: "AI trends", "market analysis", "customer feedback"
  Time ranges: past day, week, or month
  Minimum engagement thresholds



  AI Analysis Customization
  Default analysis prompt can be tailored for:

  Market Research Focus: Extract business insights and opportunities
  Competitive Intelligence: Identify competitor mentions and sentiment
  Content Ideas: Find trending topics for content creation
  Customer Research: Analyze user pain points and feedback

  Distribution Setup

  Slack Integration: Choose channels for different content types

  #market-intelligence for business insights
  #content-ideas for creative inspiration
  #competitive-intel for competitor discussions


  Email Configuration: Set recipient lists and formatting preferences

  Schedule Optimization

  Frequency: Daily, weekly, or custom intervals
  Timing: Optimize for team availability and time zones
  Volume Control: Limit posts per execution to avoid overwhelm

  🚀 Use Cases
  Market Research & Intelligence

  Trend Identification: Spot emerging technologies and methodologies
  Customer Sentiment: Monitor brand mentions and user feedback
  Competitive Analysis: Track competitor discussions and reputation
  Industry Insights: Stay updated on regulatory changes and news

  Content Marketing

  Topic Discovery: Find trending subjects for blog posts and videos
  Audience Research: Understand community questions and pain points
  Content Validation: Test ideas before creating full content pieces
  Engagement Strategies: Learn what resonates with target audiences

  Product Development

  Feature Requests: Identify commonly requested functionality
  User Experience Feedback: Discover usability issues and improvements
  Market Validation: Gauge interest in new product concepts
  Beta Testing Insights: Monitor feedback on product releases

  Sales & Business Development

  Lead Generation: Find potential customers discussing relevant problems
  Objection Handling: Understand common concerns and hesitations
  Partnership Opportunities: Identify potential collaboration prospects
  Market Education: Understand knowledge gaps in your target market

  Investment & Strategy

  Startup Monitoring: Track emerging companies and funding news
  Technology Assessment: Evaluate new tools and platforms
  Risk Assessment: Monitor potential threats and challenges
  Opportunity Identification: Spot underserved markets and niches

  🔧 Advanced Customization Options
  Multi-Subreddit Orchestration
  Configure different analysis approaches:
  Technical Communities: Focus on innovation and implementation details
  Business Communities: Extract market opportunities and strategies  
  User Communities: Emphasize pain points and solution requests
  News Communities: Highlight breaking developments and reactions
  Sentiment & Engagement Scoring
  Enhance analysis with quantitative metrics:

  Sentiment Analysis: Positive, negative, neutral classification
  Engagement Prediction: Likelihood of viral content
  Influence Scoring: Identify high-authority contributors
  Trend Momentum: Track discussion growth over time

  Content Filtering & Prioritization
  Implement smart content curation:

  Quality Thresholds: Minimum upvotes, comments, or awards
  Relevance Scoring: AI-based topic matching and ranking
  Duplicate Detection: Avoid repetitive content in summaries
  Language Processing: Handle multiple languages and slang

  Extended Integration Options
  Connect additional platforms and tools:

  CRM Integration: Push leads to Salesforce, HubSpot, or Pipedrive
  Documentation Tools: Save insights to Notion, Obsidian, or Confluence
  Analytics Platforms: Feed data to Google Analytics or Mixpanel
  Social Media: Cross-post insights to Twitter, LinkedIn, or Facebook

  📊 Output Examples
  Sample Slack Message:
  🔍 Reddit Intelligence Report - r/ChatGPT

  📊 Top Discussion: "Why I stopped using ChatGPT for coding"
  📝 Topic: AI Tool Limitations & Alternatives
  📋 Summary: Users discussing ChatGPT's declining code quality and exploring alternatives like Claude and GitHub Copilot for development work.

  📈 Engagement: 847 upvotes, 234 comments
  💭 Sentiment: Mixed (concerns about accuracy, praise for alternatives)
  🔗 View Discussion: [Reddit Link]

  Key Insights:
  Growing demand for specialized coding AI tools
  Quality consistency remains a major user concern  
  Opportunity for developer-focused AI solutions

  Generated at 9:15 AM • Next scan: Tomorrow 9:00 AM
  Gmail Report Format:
  Subject: Daily Reddit Intelligence - AI & Technology Trends

  📡 REDDIT SCOUT REPORT
  Date: March 15, 2024

  🎯 TOP INSIGHTS TODAY:

  AI Development Tools (r/programming)
     Discussion: "Best AI coding assistants in 2024"
     Insight: Developers increasingly comparing specialized tools vs general AI
     Engagement: High (500+ upvotes)

  Startup Funding (r/entrepreneur)  
     Discussion: "Raised $2M seed round - lessons learned"
     Insight: Current funding landscape and investor priorities
     Engagement: Moderate (150+ upvotes)

  Customer Feedback (r/SaaS)
     Discussion: "Why our churn rate dropped 40%"
     Insight: Onboarding and support strategy impacts
     Engagement: High (300+ upvotes)

  🔗 View all discussions: [Links included]

  Powered by AI Reddit Scout Agent
  Next report: Tomorrow at 9:00 AM
  🛠️ Troubleshooting & Best Practices
  Common Issues & Solutions
  API Rate Limiting

  Implement exponential backoff delays
  Distribute requests across multiple time periods
  Cache results to minimize redundant calls
  Monitor Reddit API status and limits

  Content Quality Control

  Set minimum engagement thresholds
  Filter out low-quality or spam posts
  Implement keyword blacklists for irrelevant content
  Regular prompt tuning for better AI analysis

  Information Overwhelm

  Limit posts per subreddit per day
  Prioritize by engagement and relevance scores
  Create digest formats for high-volume periods
  Allow team members to customize their alerts

  Optimization Strategies
  Performance Enhancement

  Use parallel processing for multiple subreddits
  Implement caching for repeated analysis
  Optimize OpenAI prompt length and complexity
  Monitor and optimize workflow execution time

  Cost Management

  Balance AI analysis depth with API costs
  Use different models for different content types
  Implement smart filtering before AI analysis
  Track ROI through engagement metrics

  Team Adoption

  Start with pilot programs in specific departments
  Provide training on interpreting AI insights
  Create feedback loops for continuous improvement
  Establish clear action protocols for different insight types

  📈 Success Metrics
  Intelligence Quality Indicators

  Relevance Score: Percentage of insights that lead to action
  Timeliness: How quickly trends are identified vs competitors
  Accuracy: Validation of AI predictions against actual outcomes
  Engagement: Team interaction with distributed insights

  Business Impact Measurements

  Content Performance: Improvement in content engagement rates
  Market Timing: Success rate of trend-based decisions
  Competitive Advantage: Early identification of opportunities/threats
  Time Savings: Reduction in manual research and monitoring time

  📞 Questions & Support
  Need assistance with your AI Reddit Scout Agent setup or customization?
  📧 Technical Support

  Email: Yaron@nofluff.online
  Response Time: Within 24 hours on business days
  Expertise: Reddit API integration, AI prompt optimization, workflow scaling

  🎥 Learning Resources

  YouTube Channel: https://www.youtube.com/@YaronBeen/videos

  Complete setup and configuration guides
  Advanced filtering and analysis techniques
  Integration tutorials for popular business tools
  Troubleshooting common issues



  🤝 Professional Networking

  LinkedIn: https://www.linkedin.com/in/yaronbeen/

  Connect for ongoing automation support
  Share your intelligence gathering success stories
  Access to exclusive workflow templates and updates



  💬 Support Request Guidelines
  Include in your message:

  Target subreddits and use cases
  Current team size and distribution needs
  Specific industries or topics of interest
  Integration requirements with existing tools
  Any error messages or unexpected behaviors

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name: Auto-Generate & Distribute LinkedIn Posts with GPT-4 to Profile & Groups
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T05:54:50.291Z
updated_at: 2025-05-25T05:54:50.291Z
url: https://n8n.io/workflows/4374
scraped_at: 2025-09-14 19:11:01
metadata_generated_at: 2025-09-14 21:18:32
description:
  LinkedIn AI Agent: Auto-Post Creator & Multi-Group Distributor
  Transform simple topic ideas into engaging LinkedIn posts and automatically distribute them across your profile and multiple LinkedIn groups. This powerful n8n workflow combines AI content generation with intelligent distribution, helping you maintain a consistent professional presence while maximizing your reach across relevant communities.
  🚀 How It Works
  This sophisticated 6-step automation turns content ideas into LinkedIn success:
  Step 1: Smart Content Monitoring
  The workflow continuously monitors your Google Sheets for new post topics marked as "Pending", checking every minute for fresh content to process.
  Step 2: AI-Powered Content Generation
  GPT-4 transforms your basic topic into a professionally crafted LinkedIn post featuring:

  Compelling opening hooks that grab attention
  3-4 informative paragraphs with valuable insights
  Strategic questions to encourage engagement
  4-6 relevant hashtags for discoverability
  Professional emoji placement for visual appeal
  Optimized formatting for LinkedIn's platform

  Step 3: Professional Formatting
  The workflow ensures your content meets LinkedIn's technical requirements with proper JSON formatting, character limits, and special character handling.
  Step 4: Personal Profile Publishing
  Your generated post is automatically published to your personal LinkedIn profile, maintaining your professional brand presence.
  Step 5: Multi-Group Distribution
  The same content is intelligently distributed across all your specified LinkedIn groups, amplifying your reach to targeted professional communities.
  Step 6: Status Management
  The workflow automatically updates your Google Sheets to mark posts as "Posted", providing clear tracking of your content pipeline.
  ⚙️ Setup Steps
  Prerequisites

  Active LinkedIn account with API access
  Google Sheets access for content management
  OpenAI API key with GPT-4 access
  LinkedIn group memberships with posting permissions
  n8n instance (cloud or self-hosted)

  Required Google Sheets Structure
  Sheet 1 - Main Content:
  | ID | LinkedIn Post Title | Status |
  |----|-------------------|--------|
  | 1  | AI Trends in 2024 | Pending |
  | 2  | Remote Work Tips  | Posted  |
  Sheet 2 - Groups:
  | GroupIds     |
  |-------------|
  | 123456789   |
  | 987654321   |
  | 456789123   |
  Note: Collect LinkedIn group IDs from groups where you have posting permissions. These can be found in the group URL or through LinkedIn's API.
  Configuration Steps
  Credential Setup

  Google Sheets OAuth2: Access your content spreadsheet
  OpenAI API Key: Required for AI content generation
  LinkedIn OAuth2: Enable profile and group posting
  HTTP Authentication: Configure LinkedIn API headers

  Google Sheets Preparation

  Create spreadsheet with the required two-sheet structure
  Populate group IDs from your joined LinkedIn groups
  Add initial post topics with "Pending" status
  Ensure proper column naming and data types

  LinkedIn Group Setup

  Join relevant professional LinkedIn groups
  Verify posting permissions in each group
  Collect group IDs using LinkedIn's interface or API
  Test posting permissions before full automation

  AI Content Customization
  The default prompt generates professional LinkedIn content, but can be customized for:

  Industry-specific terminology and trends
  Company voice and brand guidelines
  Target audience preferences
  Content style (educational, promotional, thought leadership)

  Workflow Activation

  Import the workflow JSON into your n8n instance
  Configure all credential connections
  Test with sample content before going live
  Activate the Google Sheets trigger

  🎯 Use Cases
  Content Creators & Influencers

  Consistent Posting: Maintain regular LinkedIn presence without daily manual work
  Audience Growth: Reach multiple professional communities simultaneously
  Content Scaling: Transform brief ideas into full-length engaging posts
  Brand Building: Establish thought leadership across industry groups

  Marketing Teams

  Lead Generation: Share valuable content across targeted professional groups
  Brand Awareness: Increase visibility in relevant industry communities
  Thought Leadership: Position company experts as industry authorities
  Content Distribution: Maximize reach of marketing messages and insights

  Sales Professionals

  Pipeline Building: Share insights that attract potential clients
  Network Expansion: Engage with prospects across multiple professional groups
  Authority Building: Establish credibility through valuable content sharing
  Relationship Nurturing: Maintain visibility with existing connections

  Consultants & Freelancers

  Client Acquisition: Demonstrate expertise to potential clients
  Professional Branding: Build reputation across industry-specific groups
  Service Promotion: Share case studies and success stories broadly
  Network Building: Connect with peers and potential collaborators

  Business Leaders & Executives

  Industry Influence: Share strategic insights across professional networks
  Talent Attraction: Showcase company culture and opportunities
  Partnership Development: Connect with potential business partners
  Market Education: Share expertise to influence industry conversations

  🔧 Advanced Customization Options
  Content Strategy Enhancement

  Multi-Tone Generation: Create different content styles for various audiences
  Industry Templates: Pre-built prompts for specific professional sectors
  Engagement Optimization: A/B testing different post formats and styles
  Content Calendar Integration: Schedule posts for optimal timing

  Distribution Intelligence

  Group Performance Tracking: Monitor engagement across different groups
  Selective Distribution: Choose specific groups based on content type
  Audience Segmentation: Tailor content for different professional communities
  Engagement Analysis: Track which groups provide best ROI

  Content Quality Control

  Approval Workflows: Add human review before automatic posting
  Content Scoring: Rate post quality before distribution
  Brand Compliance: Ensure posts meet company guidelines
  Duplicate Detection: Avoid posting similar content too frequently

  Extended Integration Options

  CRM Integration: Track leads generated from LinkedIn posts
  Analytics Platforms: Monitor engagement and conversion metrics
  Content Management: Connect to existing content planning tools
  Social Media Expansion: Extend to other professional platforms

  📊 Content Generation Features
  AI Writing Capabilities
  The workflow generates LinkedIn posts that include:
  Professional Structure:

  Attention-grabbing opening statements
  Well-organized multi-paragraph content
  Clear value propositions and insights
  Strategic calls-to-action for engagement

  LinkedIn Optimization:

  Platform-specific formatting and spacing
  Proper hashtag research and placement
  Emoji usage that enhances readability
  Character count optimization for maximum impact

  Engagement Drivers:

  Thought-provoking questions to encourage comments
  Industry insights that spark discussions
  Personal anecdotes that build connections
  Actionable tips that provide immediate value

  Sample Output
  Input Topic: "Remote Work Productivity Tips"
  Generated Post:
  🏠 Working from home has taught me that productivity isn't about being busy—it's about being intentional.

  After managing remote teams for 3 years, I've discovered that the most successful remote workers share three key habits that transform their daily performance.

  First, they create physical boundaries even in small spaces. A dedicated workspace signals to your brain that it's time to focus, even if it's just a corner of your kitchen table.

  Second, they batch similar tasks together. Instead of jumping between emails, calls, and deep work, they group activities to maintain mental flow and reduce cognitive switching costs.

  Third, they communicate proactively rather than reactively. They share progress updates before being asked and clarify expectations upfront to avoid confusion later.

  What's your most effective remote work strategy? I'd love to hear what's working for your team! 💪

  #RemoteWork #Productivity #WorkFromHome #Leadership #TeamManagement #ProfessionalDevelopment
  🛠️ Troubleshooting & Best Practices
  Common Issues & Solutions
  LinkedIn API Limitations

  Respect posting frequency limits to avoid account restrictions
  Monitor API usage and implement appropriate delays between posts
  Ensure compliance with LinkedIn's terms of service
  Maintain authentic engagement rather than purely automated interactions

  Group Posting Permissions

  Verify membership status and posting rights before adding group IDs
  Some groups require administrator approval for posts
  Monitor group rules and community guidelines
  Remove inactive or restricted groups from your list

  Content Quality Control

  Review AI-generated content periodically for brand consistency
  Adjust prompts based on engagement performance
  Maintain a balance between automation and personal touch
  Monitor comments and engage authentically with your audience

  Optimization Strategies
  Performance Enhancement

  Track engagement metrics across different groups
  A/B test posting times and content formats
  Refine prompts based on successful post patterns
  Gradually expand to new groups based on performance

  Content Strategy

  Develop content themes that resonate with your target audience
  Create series of related posts for deeper engagement
  Balance promotional content with value-driven insights
  Maintain consistency in voice and messaging

  Network Growth

  Engage with comments on your automated posts
  Connect with active commenters to expand your network
  Participate in group discussions beyond your own posts
  Build genuine relationships through authentic interactions

  📈 Success Metrics
  Engagement Indicators

  Post Reach: Total views across profile and groups
  Interaction Rate: Comments, likes, and shares per post
  Network Growth: New connections from content engagement
  Group Performance: Which communities provide best engagement

  Business Impact Measurements

  Lead Generation: Connections and inquiries from LinkedIn posts
  Brand Awareness: Mentions and sharing of your content
  Thought Leadership: Recognition as industry expert
  Professional Opportunities: Speaking, collaboration, or job opportunities

  📞 Questions & Support
  Need help setting up or optimizing your LinkedIn AI Agent workflow?
  📧 Direct Technical Support

  Email: Yaron@nofluff.online
  Response Time: Within 24 hours on business days
  Expertise: LinkedIn API integration, AI prompt optimization, workflow scaling

  🎥 Comprehensive Learning Resources

  YouTube Channel: https://www.youtube.com/@YaronBeen/videos

  Complete setup walkthrough and configuration
  Advanced customization techniques and strategies
  LinkedIn API best practices and limitations
  Content strategy optimization for maximum engagement
  Troubleshooting common integration issues



  🤝 Professional Networking & Updates

  LinkedIn: https://www.linkedin.com/in/yaronbeen/

  Connect for ongoing automation support and advice
  Share your LinkedIn growth success stories
  Get early access to new workflow templates and features
  Join discussions about LinkedIn marketing automation



  💬 Support Request Guidelines
  Include in your support message:

  Your current LinkedIn strategy and goals
  Target audience and industry focus
  Specific LinkedIn groups you want to target
  Any technical errors or integration issues
  Current content creation process and pain points

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name: Automatic News Summarization & Email Digest with GPT-4, NewsAPI and Gmail
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T05:58:27.949Z
updated_at: 2025-05-25T05:58:27.949Z
url: https://n8n.io/workflows/4375
scraped_at: 2025-09-14 19:11:00
metadata_generated_at: 2025-09-14 21:18:32
description:
  📰 AI News Digest Agent: Auto News Summarizer & Email Newsletter
  Create an intelligent news curation system that automatically fetches breaking headlines, generates AI-powered summaries, and delivers personalized news digests to your subscriber list. Perfect for newsletter creators, team leaders, and content curators who want to keep their audience informed without the manual effort of news monitoring and summarization.
  🔄 How It Works
  This streamlined 5-step automation delivers fresh news insights around the clock:
  Step 1: Automated News Collection
  The workflow runs on a configurable schedule (default: every 10 minutes) to fetch the latest headlines from NewsAPI, ensuring your content stays current with breaking developments.
  Step 2: Intelligent Content Curation
  The system pulls top headlines from reliable news sources, filtering by country, category, and relevance to deliver the most important stories of the day.
  Step 3: AI-Powered Summarization
  GPT-4 processes the collected headlines and creates:

  Concise 5-bullet point summaries
  Key insights and implications
  Easy-to-digest news overviews
  Professional formatting for email distribution

  Step 4: Subscriber Management
  The workflow accesses your Google Sheets subscriber list, retrieving names and email addresses for personalized delivery.
  Step 5: Automated Email Distribution
  Personalized news digests are automatically sent to each subscriber via Gmail, with custom greetings and professionally formatted content.
  ⚙️ Setup Steps
  Prerequisites

  NewsAPI account (free tier available)
  OpenAI API access for content summarization
  Google Sheets for subscriber management
  Gmail account for email distribution
  n8n instance (cloud or self-hosted)

  Required Google Sheets Structure
  Create a simple subscriber database:
  | Name          | Email                    |
  |---------------|--------------------------|
  | John Smith    | john@example.com         |
  | Sarah Johnson | sarah@company.com        |
  | Mike Chen     | mike.chen@startup.co     |
  Configuration Steps
  Credential Setup

  NewsAPI Key: Sign up at newsapi.org for free headline access
  OpenAI API Key: Required for AI-powered news summarization
  Google Sheets OAuth2: Access your subscriber spreadsheet
  Gmail OAuth2: Enable automated email sending

  News Source Configuration

  Country Selection: Choose target region (US, UK, CA, AU, etc.)
  Category Filters: Focus on specific topics (technology, business, health)
  Source Selection: Prefer certain news outlets or avoid others
  Language Settings: Configure for international audiences

  AI Summarization Customization
  Default prompt creates 5-bullet summaries, but can be tailored for:

  Industry Focus: Technology, finance, healthcare, politics
  Audience Type: General public, professionals, executives
  Content Depth: Brief overviews vs detailed analysis
  Tone & Style: Formal, conversational, or technical

  Email Template Personalization

  Subject Line Formatting: Include date, breaking news indicators
  Greeting Customization: Use subscriber names for personal touch
  Content Layout: Professional formatting with clear sections
  Branding Elements: Add your organization's signature or logo

  Delivery Schedule Optimization

  Frequency Settings: Every 10 minutes, hourly, or daily
  Time Zone Considerations: Optimize for subscriber locations
  Breaking News Alerts: Immediate delivery for urgent stories
  Digest Compilation: Collect multiple stories for periodic summaries

  🚀 Use Cases
  Newsletter Publishers

  Content Automation: Generate newsletter content without manual curation
  Consistent Publishing: Maintain regular delivery schedules automatically
  Audience Growth: Provide value that encourages subscriptions and shares
  Time Savings: Eliminate hours of daily news monitoring and writing

  Corporate Communications

  Employee Updates: Keep teams informed about industry developments
  Executive Briefings: Deliver curated news summaries to leadership
  Client Communications: Share relevant industry insights with customers
  Stakeholder Relations: Maintain informed investor and partner networks

  Educational Institutions

  Student Resources: Provide current events for academic discussions
  Faculty Updates: Keep educators informed about relevant developments
  Research Support: Deliver news related to specific academic fields
  Parent Communications: Share educational policy and school-related news

  Professional Services

  Client Value Addition: Provide industry-specific news as a service benefit
  Thought Leadership: Position your firm as an informed industry expert
  Business Development: Share insights that demonstrate market knowledge
  Team Knowledge Sharing: Keep entire organization current on industry trends

  Community Organizations

  Member Engagement: Keep community members informed and engaged
  Local News Focus: Customize for regional or local news coverage
  Event Planning: Stay informed about developments affecting your community
  Advocacy Support: Monitor news relevant to your organization's mission

  🔧 Advanced Customization Options
  Multi-Source News Aggregation
  Expand beyond NewsAPI with additional sources:
  RSS Feed Integration: Add specialized industry publications
  Social Media Monitoring: Include trending topics from Twitter/LinkedIn
  Government Sources: Official announcements and policy updates
  International Coverage: Global perspectives on major stories
  Intelligent Content Filtering
  Implement smart curation features:

  Sentiment Analysis: Filter positive, negative, or neutral news
  Relevance Scoring: Prioritize stories based on subscriber interests
  Duplicate Detection: Avoid sending repetitive story coverage
  Quality Assessment: Ensure content meets editorial standards

  Subscriber Segmentation
  Create targeted news experiences:

  Interest Categories: Technology, business, sports, entertainment
  Geographic Preferences: Local, national, or international focus
  Delivery Preferences: Frequency and format customization
  Engagement Tracking: Monitor opens, clicks, and subscriber behavior

  Enhanced Email Features
  Professional newsletter capabilities:

  HTML Templates: Rich formatting with images and links
  Call-to-Action Buttons: Drive engagement with your content or services
  Social Sharing: Enable easy sharing of newsletter content
  Analytics Integration: Track email performance and subscriber engagement

  📊 Content Generation Examples
  Sample Email Output:
  Subject: 📰 Your Daily News Digest - March 15, 2024

  Hi John,

  Please find today's top news headlines summarized below:

  📈 BUSINESS & TECHNOLOGY
  Federal Reserve signals potential rate cuts following inflation data
  Major tech companies announce AI partnership for healthcare applications  
  Renewable energy sector sees record investment levels in Q1 2024
  Cryptocurrency markets stabilize after regulatory clarity announcement
  Supply chain disruptions ease as global shipping routes normalize

  💡 These developments suggest growing economic optimism and continued technology sector innovation. The healthcare AI partnership particularly signals significant advances in medical technology accessibility.

  Stay informed and have a great day!

  Powered by AI News Digest Agent
  Unsubscribe | Update Preferences
  Breaking News Alert Format:
  Subject: 🚨 Breaking News Alert - Major Development

  Hi Sarah,

  BREAKING: [Headline]

  Key Details:
  [Critical point 1]
  [Critical point 2]  
  [Impact analysis]

  Full coverage in your next scheduled digest.

  AI News Digest Agent
  🛠️ Troubleshooting & Best Practices
  Common Issues & Solutions
  API Rate Limiting

  Monitor NewsAPI quota usage and upgrade plan if needed
  Implement intelligent caching to reduce redundant requests
  Stagger requests during high-traffic periods
  Set up alerts for approaching rate limits

  Email Delivery Challenges

  Monitor Gmail sending limits and implement delays if needed
  Use professional email authentication (SPF, DKIM)
  Maintain clean subscriber lists to avoid spam flags
  Implement unsubscribe functionality for compliance

  Content Quality Control

  Review AI summaries periodically for accuracy and bias
  Implement feedback loops for continuous prompt improvement
  Create editorial guidelines for consistent tone and style
  Monitor subscriber feedback and engagement metrics

  Optimization Strategies
  Performance Enhancement

  Use parallel processing for multiple news sources
  Implement intelligent caching for repeated content
  Optimize AI prompts for faster processing and better results
  Monitor workflow execution time and resource usage

  Subscriber Growth

  Create compelling value propositions for newsletter signups
  Implement referral systems for organic growth
  Share sample newsletters on social media and websites
  Collect feedback to continuously improve content quality

  Content Strategy

  A/B test different summary formats and lengths
  Analyze which news categories generate most engagement
  Experiment with sending times for optimal open rates
  Create themed newsletters for special events or topics

  📈 Success Metrics
  Engagement Indicators

  Open Rates: Percentage of subscribers reading newsletters
  Click-Through Rates: Engagement with linked news sources
  Subscriber Growth: New signups and retention rates
  Forward/Share Rates: Viral coefficient of your content

  Content Quality Measurements

  Relevance Scores: Subscriber feedback on content usefulness
  Timeliness: How quickly breaking news reaches subscribers
  Accuracy: Verification of AI-summarized content
  Completeness: Coverage of important stories in your focus areas

  📞 Questions & Support
  Need assistance with your AI News Digest Agent setup or optimization?
  📧 Technical Support

  Email: Yaron@nofluff.online
  Response Time: Within 24 hours on business days
  Specialization: NewsAPI integration, AI content optimization, email deliverability

  🎥 Educational Resources

  YouTube Channel: https://www.youtube.com/@YaronBeen/videos

  Complete setup and configuration tutorials
  Advanced customization techniques for different industries
  Email marketing best practices for automated newsletters
  Troubleshooting common integration issues
  Scaling strategies for growing subscriber lists



  🤝 Professional Community

  LinkedIn: https://www.linkedin.com/in/yaronbeen/

  Connect for ongoing newsletter automation support
  Share your news curation success stories
  Access exclusive templates and workflow variations
  Join discussions about content automation trends



  💬 Support Request Best Practices
  Include in your support message:

  Your target audience and newsletter focus
  Current subscriber count and growth goals
  Specific news categories or geographic regions of interest
  Any technical errors or integration challenges
  Current content creation workflow and pain points

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name: Extract Invoice Data from Email to Google Sheets using GPT-4o AI Automation
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T06:03:38.031Z
updated_at: 2025-05-25T06:03:38.031Z
url: https://n8n.io/workflows/4376
scraped_at: 2025-09-14 19:10:59
metadata_generated_at: 2025-09-14 21:18:31
description:
  Transform your invoice processing from manual data entry into an intelligent automation system. This powerful n8n workflow monitors Gmail for invoice attachments, extracts data using AI-powered analysis, and creates organized Google Sheets with all relevant financial information automatically structured and ready for your accounting workflows.

  🔄 How It Works

  This sophisticated 8-step automation eliminates manual invoice processing:

  Step 1: Intelligent Email Monitoring
  The workflow continuously monitors your Gmail account for emails with specific labels, checking every minute for new invoice attachments that need processing.

  Step 2: Attachment Verification
  Smart filtering ensures only emails with PDF attachments are processed, preventing unnecessary workflow triggers from text-only emails.

  Step 3: Advanced PDF Extraction
  The system automatically downloads and converts PDF invoices into readable text, handling various invoice formats and layouts with high accuracy.

  Step 4: AI-Powered Data Analysis
  GPT-4 processes the extracted text using specialized prompts designed for financial document analysis, identifying and extracting:
  Company information and contact details
  Invoice numbers, dates, and payment terms
  Detailed line items with quantities and pricing
  Tax calculations including CGST, SGST, and VAT
  Billing and shipping addresses
  Payment methods and transaction references

  Step 5: Structured Data Formatting
  The AI output is automatically formatted into clean, consistent JSON structure with 25+ standardized fields for comprehensive invoice tracking.

  Step 6: Dynamic Spreadsheet Creation
  Each processed invoice generates a new Google Sheets document with timestamp naming and organized data layout, ready for accounting review.

  Step 7: Automated File Organization
  Processed spreadsheets are automatically moved to designated Google Drive folders, maintaining organized file structure for easy retrieval and audit trails.

  Step 8: Data Population
  All extracted invoice data is populated into the spreadsheet with proper formatting, formulas, and structure for immediate use in accounting workflows.

  ⚙️ Setup Steps

  Prerequisites
  Gmail account with invoice-receiving capability
  Google Workspace access for Sheets and Drive
  OpenAI API account for data extraction
  n8n instance (cloud or self-hosted)
  PDF invoices (text-based, not scanned images)

  Gmail Configuration Requirements

  Label Setup:
  Create specific Gmail labels for invoice processing:
  📧 Labels to Create:
  "Invoice-Processing" (main processing label)
  "Invoice-Vendors" (supplier invoices)
  "Invoice-Clients" (customer invoices)  
  "Invoice-Processed" (completed items)

  Email Filter Configuration:
  Set up automatic labeling rules:
  Emails from known vendors → Auto-apply "Invoice-Processing"
  Emails with "Invoice" in subject → Auto-apply "Invoice-Processing"  
  Attachments with PDF extension → Auto-apply "Invoice-Processing"

  Configuration Steps

  1. Credential Setup
  Gmail OAuth2**: Full email access including attachments
  OpenAI API Key**: GPT-4 access for intelligent data extraction
  Google Sheets OAuth2**: Spreadsheet creation and editing permissions
  Google Drive OAuth2**: File organization and folder management

  2. Google Drive Folder Structure
  Create organized folder hierarchy:
  📁 Invoice Management/
  ├── 📁 Incoming Invoices/
  ├── 📁 Processed Invoices/
  │   ├── 📁 2024/
  │   │   ├── 📁 Q1/
  │   │   ├── 📁 Q2/
  │   │   └── 📁 Q3/
  ├── 📁 Vendor Invoices/
  └── 📁 Client Invoices/

  3. AI Extraction Customization
  The default AI prompt extracts standard invoice fields but can be customized for:
  Regional Tax Systems**: GST (India), VAT (EU), Sales Tax (US)
  Industry-Specific Fields**: Purchase orders, project codes, cost centers
  Company Standards**: Custom fields, approval workflows, coding requirements
  Multi-Currency**: Exchange rates, currency conversion, international invoices

  4. Data Validation Rules
  Implement quality control measures:
  Required Field Validation**: Ensure critical data is always extracted
  Format Standardization**: Consistent date formats, number formatting
  Duplicate Detection**: Identify potentially duplicate invoices
  Accuracy Scoring**: Confidence levels for extracted data

  5. Workflow Activation
  Import the workflow JSON into your n8n instance
  Configure all credential connections and test each step
  Process test invoices to verify accuracy
  Activate Gmail trigger for continuous monitoring

  🚀 Use Cases

  Accounting Firms & Bookkeepers
  Client Service Automation**: Process invoices for multiple clients efficiently
  Data Entry Elimination**: Convert hours of manual work into automated processing
  Accuracy Improvement**: Reduce human errors in financial data transcription
  Scalable Operations**: Handle increased client volume without proportional staff increase

  Small & Medium Businesses
  Accounts Payable Automation**: Streamline vendor invoice processing
  Cash Flow Management**: Quick access to payment due dates and amounts
  Expense Tracking**: Organized categorization of business expenses
  Audit Preparation**: Maintain organized, searchable invoice records

  Corporate Finance Teams
  Procurement Processing**: Handle purchase orders and vendor invoices at scale
  Multi-Location Operations**: Centralize invoice processing across offices
  Compliance Management**: Ensure consistent data capture for regulatory requirements
  Integration Readiness**: Prepare data for ERP and accounting system import

  Freelancers & Consultants
  Client Invoice Tracking**: Organize incoming payments and project billing
  Expense Management**: Categorize business expenses for tax preparation
  Cash Flow Monitoring**: Track outstanding invoices and payment schedules
  Professional Organization**: Maintain clean financial records for business growth

  E-commerce & Retail
  Supplier Invoice Processing**: Manage inventory purchasing and cost tracking
  Multi-Vendor Operations**: Handle invoices from numerous suppliers efficiently
  Cost Analysis**: Track product costs and supplier performance
  Inventory Reconciliation**: Match invoice data with purchase orders and receipts

  🔧 Advanced Customization Options

  Multi-Format Invoice Handling
  Extend processing capabilities:
  PDF Text-Based: Standard invoice PDFs with selectable text
  Scanned Documents: Add OCR processing for image-based invoices
  Email Body Invoices: Extract data from invoice details in email content  
  Excel Attachments: Process invoices sent as spreadsheet files
  Multi-Page Documents: Handle complex invoices with multiple pages

  Intelligent Data Validation
  Implement quality assurance features:
  Cross-Reference Validation**: Compare extracted data against purchase orders
  Vendor Database Matching**: Verify company details against known vendor lists
  Tax Calculation Verification**: Validate tax amounts and rates for accuracy
  Currency Conversion**: Handle multi-currency invoices with real-time exchange rates

  Workflow Integration Extensions
  Connect to existing business systems:
  ERP Integration**: Direct data export to SAP, Oracle, or Microsoft Dynamics
  Accounting Software**: Push data to QuickBooks, Xero, or FreshBooks
  Approval Workflows**: Add review and approval steps before final processing
  Payment Processing**: Connect to banking systems for automated payment scheduling

  Advanced Analytics & Reporting
  Generate business insights:
  Vendor Performance Analysis**: Track pricing trends and payment terms
  Expense Category Reporting**: Automated expense categorization and analysis
  Cash Flow Forecasting**: Predict payment obligations based on due dates
  Audit Trail Management**: Maintain comprehensive processing logs for compliance

  📊 Extracted Data Structure

  Standard Invoice Fields (25+ Data Points)
  The AI extraction captures comprehensive invoice information:

  Header Information:
  Billed To (Customer/Company Name)
  Invoice Number (Unique Identifier)
  Date of Issue (Invoice Creation Date)
  Due Date (Payment Deadline)

  Line Item Details:
  Item Description (Product/Service Details)
  Quantity (Number of Items/Hours)
  Rate (Unit Price)
  Amount (Line Total)

  Tax and Financial Calculations:
  CGST/SGST Rates and Amounts (Indian GST System)
  VAT Calculations (European Tax System)
  Subtotal (Pre-tax Amount)
  Total Amount (Final Invoice Value)

  Company and Contact Information:
  Vendor Company Name
  Contact Phone/Mobile
  Email Address
  Website URL
  GST Registration Number
  PAN Number (Indian Tax ID)

  Address Information:
  Billing Address
  Shipping Address  
  Place of Supply
  Place of Delivery

  Payment Details:
  Transaction IDs
  Payment Mode (Check, Bank Transfer, Card)
  Terms and Conditions
  Special Instructions

  Sample Extracted Data:
  {
    "billed_to": "Tech Solutions Inc.",
    "invoice_number": "INV-2024-0156",
    "date_of_issue": "2024-03-15",
    "due_date": "2024-04-15",
    "item_0_description": "Web Development Services",
    "item_0_quantity": 40,
    "item_0_rate": 75.00,
    "item_0_amount": 3000.00,
    "tax_0_cgst_rate": 9,
    "tax_0_cgst_amount": 270.00,
    "tax_0_sgst_rate": 9,
    "tax_0_sgst_amount": 270.00,
    "subtotal": 3000.00,
    "total": 3540.00,
    "company_name": "Digital Services LLC",
    "company_email": "billing@digitalservices.com",
    "payment_transaction_ids": "TXN123456789",
    "mode_of_payment": "Bank Transfer"
  }

  🛠️ Troubleshooting & Best Practices

  Common Issues & Solutions

  PDF Extraction Challenges
  Scanned Documents**: Original workflow handles text-based PDFs only
  Complex Layouts**: Some invoice formats may require prompt refinement
  Multi-Page Invoices**: Large invoices might need pagination handling
  Password Protection**: Encrypted PDFs require manual processing

  AI Extraction Accuracy
  Field Recognition**: Some custom invoice formats may need prompt tuning
  Currency Handling**: Multi-currency invoices may require specific configuration
  Date Formats**: International date formats might need standardization
  Vendor Variations**: Different vendor invoice styles may affect accuracy

  Gmail Integration Limitations
  Label Management**: Ensure consistent labeling for proper processing
  Attachment Size**: Large PDFs may hit Gmail API limits
  Email Volume**: High-volume processing may require rate limiting
  Security Settings**: Corporate Gmail may have additional restrictions

  Optimization Strategies

  Processing Efficiency
  Batch Processing**: Group similar invoices for more efficient processing
  Template Recognition**: Create vendor-specific extraction templates
  Quality Scoring**: Implement confidence ratings for extracted data
  Error Handling**: Add fallback processes for failed extractions

  Data Quality Assurance
  Validation Rules**: Implement business logic for data verification
  Duplicate Detection**: Prevent duplicate invoice processing
  Manual Review Queues**: Flag uncertain extractions for human review
  Audit Logging**: Maintain detailed processing logs for troubleshooting

  Business Process Integration
  Approval Workflows**: Add management approval steps for high-value invoices
  Exception Handling**: Create special processes for unusual invoice types
  Reporting Automation**: Generate regular summaries of processed invoices
  Archive Management**: Implement retention policies for processed documents

  📈 Success Metrics

  Efficiency Improvements
  Processing Time**: Reduce manual data entry from hours to minutes
  Accuracy Rates**: Achieve 95%+ data extraction accuracy
  Volume Capacity**: Process 10-50x more invoices with same resources
  Error Reduction**: Eliminate manual transcription errors

  Business Impact Measurements
  Cost Savings**: Calculate labor cost reduction from automation
  Cash Flow Management**: Faster invoice processing enables better payment scheduling
  Compliance**: Improved audit trails and data consistency
  Scalability**: Ability to handle business growth without proportional staff increase

  📞 Questions & Support

  Need help implementing or optimizing your AI Invoice Processor Agent?

  📧 Expert Technical Support
  Email**: Yaron@nofluff.online
  Response Time**: Within 24 hours on business days
  Specialization**: Invoice processing automation, AI data extraction, accounting workflow integration

  🎥 Comprehensive Training Resources
  YouTube Channel**: https://www.youtube.com/@YaronBeen/videos
    Complete setup and configuration walkthroughs
    Advanced customization for different invoice types
    Integration tutorials for popular accounting software
    Troubleshooting common extraction and processing issues
    Best practices for financial document automation

  🤝 Professional Community & Updates
  LinkedIn**: https://www.linkedin.com/in/yaronbeen/
    Connect for ongoing automation consulting and support
    Share your invoice processing success stories and ROI results
    Access exclusive workflow templates and advanced configurations
    Join discussions about financial automation trends and innovations

  💬 Support Request Guidelines
  Include in your support message:
  Your current invoice processing volume and types
  Specific vendor formats or invoice layouts you handle
  Target accounting software or systems for integration
  Any technical errors or extraction accuracy issues
  Current manual processing workflow and pain points



  Ready to eliminate manual invoice processing forever? Deploy this AI Invoice Processor Agent and transform your accounting workflow from tedious data entry into intelligent, automated financial management!

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  ["n8n-nodes-base.gmailTrigger","n8n-nodes-base.googleSheets","n8n-nodes-base.googleDrive","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.filter","n8n-nodes-base.extractFromFile","n8n-nodes-base.code","n8n-nodes-base.googleSheets","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.stickyNote"]

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metadata_json:
  {"categories":["automation","document processing","AI-powered data extraction","integration"],"complexity":"complex","use_cases":["Accounts payable automation","Invoice data extraction and bookkeeping","Expense tracking and audit preparation","ERP / accounting system integration","Vendor performance and cost analysis"],"estimated_setup_minutes":45,"required_services":["Gmail (OAuth2)","Google Sheets (Google Workspace OAuth2)","Google Drive (Google Workspace OAuth2)","OpenAI API (GPT-4/GPT-4o)","n8n instance (cloud or self-hosted)"],"key_features":["Continuous Gmail monitoring for labeled invoices","PDF attachment download and text extraction","GPT-based AI parsing into standardized JSON (25+ fields)","Automatic Google Sheet creation with timestamped names","Automated file organization in Google Drive folders and folder hierarchy support','Data validation hooks (required fields, duplicate detection, confidence scoring)"],"target_audience":["Accounting firms and bookkeepers","Small & medium businesses (finance teams)","Corporate finance and procurement teams (ERP integration)  ,Freelancers & consultants, E-commerce and retail operations"]}


name: AI Client Onboarding Agent: Auto Welcome Email Generator
author_name: Yaron Been
author_username: yaron-nofluff
categories: []
created_at: 2025-05-25T06:10:41.891Z
updated_at: 2025-05-25T06:10:41.891Z
url: https://n8n.io/workflows/4377
scraped_at: 2025-09-14 19:11:02
metadata_generated_at: 2025-09-14 21:18:32
description:
  AI Client Onboarding Agent: Auto Welcome Email Generator

  This workflow automates welcoming new clients. When someone submits a form, their details are pulled from Google Sheets, a personalized onboarding checklist is generated using Google Gemini, and an email is sent directly to the client. It also includes error handling to ensure nothing is missed.

  🟢 Section 1 – Trigger & Client Data Capture

  Nodes:

  ⏰ Trigger on New Client Form Submission → Fires when a new row is added in Google Sheets (from the client’s form).
  🧍 Extract and Structure Client Data → Collects and formats client details: name, email, company, services, extra info.

  ✅ Beginner view: This is the doorway. When a client fills the form, their info is automatically pulled into the workflow.

  📑 Section 2 – Checklist & Personalization

  Nodes:

  📋 Client Checklist → Creates a default onboarding checklist (account setup, welcome call, docs, etc.).
  🧠 Personalize Using Gemini → Sends client details + checklist to Google Gemini AI → generates a tailored onboarding email body.

  ✅ Beginner view: This is where the magic happens. Instead of a boring generic email, each client gets a customized message that feels personal.

  📤 Section 3 – Delivery & Completion

  Nodes:

  📧 Send Email to Client → Sends the personalized onboarding email directly to the client’s inbox.
  ✅ Execution Completed → Marks the workflow as successfully finished.

  ✅ Beginner view: Think of this as the final handshake with the client — they get a warm, professional onboarding email without you lifting a finger.

  🚨 Section 4 – Error Handling

  Nodes:

  ⚠️ Error Handler → Captures any failure in the workflow.
  ❌ Execution Failure → Defines fallback/alert action if something breaks.

  ✅ Beginner view: This is your safety net. If an email fails or Gemini is unavailable, the workflow won’t just stop — you can set it up to alert you.

  📊 Summary Table

  | Section           | Key Nodes                           | Purpose                                | Beginner Benefit               |
  | ----------------- | ----------------------------------- | -------------------------------------- | ------------------------------ |
  | 🟢 Trigger & Data | Google Sheets Trigger, Data Extract | Capture client info                    | Auto-collects form submissions |
  | 📑 Checklist & AI | Checklist, Gemini                   | Generate personalized onboarding email | Each client feels special      |
  | 📤 Delivery       | Gmail, Execution Completed          | Send email & close flow                | Client gets email instantly    |
  | 🚨 Error Handling | Error Trigger, Failure Node         | Catch issues                           | Ensures nothing is missed      |

  🌟 Why This Workflow Rocks

  Saves hours** → no manual onboarding emails
  Personalized at scale** → Gemini tailors messages per client
  Error-proof** → built-in error handling keeps you safe
  Scalable** → works for 10 or 10,000 clients

  👉 Example Flow in Action:

  A client named Sarah fills the onboarding form.
  Workflow captures her details → “Sarah, MarketingPro Agency, Needs Analytics Setup.”
  Gemini creates a custom email:

     &gt; Hi Sarah, welcome aboard! Here’s your onboarding plan tailored for Analytics Setup…
  Gmail sends it instantly.
  You get notified only if something fails.

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metadata_json:
  {"categories":["automation","integration","onboarding","AI personalization","email/communication"],"complexity":"medium","use_cases":["Automated client onboarding","Personalized welcome/onboarding emails","Scaling client communications","Generating client-specific onboarding checklists","Reducing manual outreach and follow-up"],"estimated_setup_minutes":20,"required_services":["Google Sheets","Google Gemini (lmChat/Google AI)","Gmail (or SMTP/email provider)","Form provider that writes to Google Sheets","n8n"],"key_features":["Trigger on new Google Sheets row (form submission)","Extract and structure client data (name, email, company, services)","Create default onboarding checklist","Personalize email body using Google Gemini","Automatically send email to client','Execution completion marker and workflow closure','Error handling with failure capture and alerts"],"target_audience":["Small businesses","Agencies and consultants","Customer success and onboarding teams','Marketing teams','Operations teams','SaaS founders"]}


