# templates

name: Automatic Email Categorization & Labeling in Zoho Mail with GPT-4o-mini
author_name: Ruthwik
author_username: ruthwik
categories: []
created_at: 2025-09-03T11:28:19.040Z
updated_at: 2025-09-03T11:28:19.040Z
url: https://n8n.io/workflows/8212
scraped_at: 2025-12-24 13:02:45
description:
  📧 AI-Powered Email Categorization & Labeling in Zoho Mail

  This n8n template demonstrates how to use AI text classification to automatically categorize incoming emails in Zoho Mail and apply the correct label (e.g., Support, Billing, HR). It saves time by keeping your inbox structured and ensures emails are routed to the right category.

  Use cases include:
  Routing customer support requests to the correct team.
  Organizing billing and finance communications separately.
  Streamlining HR and recruitment email handling.
  Reducing inbox clutter and ensuring no important message is missed.

  ℹ️ Good to know
  You’ll need to configure Zoho OAuth credentials — see Self Client Overview, Authorization Code Flow, and Zoho Mail OAuth Guide.
  The labels must already exist in Zoho Mail (e.g., Support, Billing, HR). The workflow fetches these labels and applies them automatically.
  The Zoho Mail API domain changes depending on your account region:
    .com → Global accounts (https://mail.zoho.com/api/...)
    .eu → EU accounts (https://mail.zoho.eu/api/...)
    .in → India accounts (https://mail.zoho.in/api/...)

  Example: For an EU account, the endpoint would be:
  https://mail.zoho.eu/api/accounts/&lt;accountID&gt;/updatemessage
  The AI model used for text classification may incur costs depending on your provider (e.g., OpenRouter).  
  Start by testing with a small set of emails before enabling for your full inbox.

  🔄 How it works
  A new email in Zoho Mail triggers the workflow.  
  OAuth authentication retrieves access to Zoho Mail’s API.  
  All available labels are fetched, and a label map (display name → ID) is created.  
  The AI model analyzes the subject and body to predict the correct category.  
  The workflow routes the email to the right category branch.  
  The matching Zoho Mail label is applied (final node is deactivated by default).  

  🛠️ How to use
  Create the required labels (e.g., Support, Billing, HR, etc.) in your Zoho Mail account before running the workflow.  
  Replace the Zoho Mail Account ID in the Set Account ID node.  
  Configure your Zoho OAuth credentials in the Get Access Token node.  
  Update the API base URL to match your Zoho account’s region (.com, .eu, .in, etc.).  
  Activate the Apply Label to Email node once ready for production.  
  Optionally, adjust categories in the AI classifier prompt to fit your organization’s needs.  

  📋 Requirements
  Zoho Mail account with API access enabled.  
  Labels created in Zoho Mail for each category you want to classify.  
  OAuth credentials set up in n8n.  
  Correct Zoho Mail API domain (.com, .eu, .in) based on your account region.  
  An AI model (via OpenRouter or other provider) for text classification.  

  🎨 Customising this workflow
  This workflow can be adapted to many inbox management scenarios. Examples include:
  Auto-routing customer inquiries to specific departments.  
  Prioritizing VIP client emails with special labels.  
  Filtering job applications directly into an HR-managed folder.  

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.set","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.textClassifier","@n8n/n8n-nodes-langchain.lmChatOpenRouter","n8n-nodes-base.merge","n8n-nodes-base.emailReadImap","n8n-nodes-base.httpRequest","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.noOp","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 5812 characters]


name: Generate AI Videos from Text or Images with Veo 3 API and VietVid.com
author_name: Tran Trung Nghia
author_username: trungnghialk
categories: []
created_at: 2025-09-03T11:32:22.559Z
updated_at: 2025-09-03T11:32:22.559Z
url: https://n8n.io/workflows/8213
scraped_at: 2025-12-24 13:02:41
description:
  Veo 3 Video Generator via VietVid.com API (n8n)

  Overview
  This workflow leverages the VietVid.com Veo3 model to generate AI videos from simple text descriptions or optional images.  
  Users interact via a form interface, inputting a prompt (e.g., a scene description), choosing aspect ratio and model, then the system automatically submits the request to the VietVid API, monitors the generation status in real time, and retrieves the final video output.  

  It’s ideal for content creators, marketers, and developers exploring text-to-video AI creation, supporting intelligent video generation with minimal setup.

  Prerequisites
  A VietVid.com account and API key: Register at VietVid.com to obtain your free or paid API key.  
  An active n8n instance (cloud or self-hosted) with HTTP Request, Wait, and form submission capabilities.  
  Basic knowledge of AI prompts for video generation to achieve optimal results.  

  Setup Instructions

  1. Obtain API Key
  Register at VietVid.com and generate your API key.  
  Store it securely—do not share publicly.  

  2. Configure the Form
  In the Form Trigger node, ensure the following fields are available:
    text_prompt — video description (e.g., “A serene mountain landscape at sunset with birds flying”)  
    ImageURL [optional] — optional image input for image-to-video  
    api_Token — your VietVid API key  
    aspect_Ratio [16:9,9:16] — dropdown to select ratio  
    model — choose between veo3 and veo3_fast  

  3. Test the Workflow
  Click Execute Workflow in n8n.  
  Access the generated form URL.  
  Submit your prompt, API key, and options.  
  The workflow will poll the VietVid API every 10 seconds until the video is ready.  

  4. Handle Outputs
  The final Set node formats and displays the video links:
    720p_link — always available when ready.  
    1080p_link — available only for 16:9 aspect ratio.  

  Customization Tips
  Enhance prompts*: Add details like style (realistic, cinematic, animated*), duration, actions, and camera/lighting for better results.  
  Stability**: Fix the seeds value (e.g., 50000) for more consistent characters.  
  Webhook Response: Add a **Webhook Response node to return a clean JSON payload for frontend integrations.  
  Adjust polling delay**: Modify Wait node (8–15s) if needed to balance speed vs. API calls.  

nodes_used:
  ["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.formTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.httpRequest","n8n-nodes-base.set","n8n-nodes-base.if"]

workflow_json_compressed:
  [encoded data, 5296 characters]


name: AI-Powered Gmail and Calendar Assistant with Gemini Chat Interface
author_name: Praneel S
author_username: praneel7015
categories: []
created_at: 2025-09-03T19:38:13.583Z
updated_at: 2025-09-03T19:38:13.583Z
url: https://n8n.io/workflows/8234
scraped_at: 2025-12-24 13:02:45
description:
  ⚠️ Disclaimer: This workflow uses Google Calendar and Gmail nodes which you will have to configure yourself  

  Who’s it for
  Anyone who wants an AI-powered personal assistant that can handle Gmail and Google Calendar tasks through a simple webhook. This is useful for developers, small teams, and productivity enthusiasts who want to connect a chatbot (Discord, Telegram, WhatsApp, or custom frontends) to their email and calendar.

  How it works / What it does
  This workflow acts as a chat-based AI assistant. You send text requests through a webhook (e.g., from a chatbot), and the AI agent interprets them to take actions like:

  📧 Sending emails in Gmail  
  📥 Reading and summarizing your emails  
  📅 Checking your Google Calendar events  
  ✅ Checking your availability before booking  
  📝 Creating new calendar events with Google Meet links  
  ✏️ Updating existing events  
  ⏰ Converting natural time expressions like “tomorrow at 3 PM” into exact timestamps  

  The AI agent is powered by the Google Gemini Chat Model (or any LLM you choose) and follows strict guardrails:
  Confirms actions before executing  
  Asks for clarification if details are missing  
  Prevents double-booking by checking availability  

  How to set up
  Import this workflow into n8n.  
  Set up credentials for:  
     Gmail (OAuth2)  
     Google Calendar (OAuth2)  
     AI provider (Gemini, OpenAI, Claude, etc.)  
  Configure the webhook node (/chat) as your chatbot endpoint.  
     You can connect it to Discord, WhatsApp, Telegram, or a frontend app.  
  Customize the AI Agent’s system prompt if you want to tweak tone or rules.  
  Deploy and start sending messages like:  
     “Check my emails from today”  
     “Schedule a meeting with John tomorrow at 3 PM”  
     “Email my team about the deadline extension”  

  Requirements
  n8n installed and running (cloud or self-hosted)  
  Gmail and Google Calendar accounts with API access  
  API key for your chosen AI provider
  Webhook Chatbot interface  

  How to customize
  Swap Google Gemini with another LLM node (e.g., OpenAI GPT or Anthropic Claude).  
  Add more tools (e.g., Slack, Notion, Trello) to extend capabilities.  
  Adjust memory length in the Simple Memory node.  
  Modify sticky notes with instructions tailored to your use case.  

  Disclaimer
  This workflow uses the community webhook entry point, so it is best suited for self-hosted n8n instances.  
  Do not hardcode API keys or sensitive credentials. Always use n8n’s Credentials system.  
  Other Details
  Thanks for viewing this automation!
  Feel Free to contact me at praneel.tech
  Also Use my Webhook chatbot interface Which is configured perfectly for n8n Automations!

nodes_used:
  ["@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.gmailTool","n8n-nodes-base.gmailTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.dateTimeTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.webhook","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.respondToWebhook","@n8n/n8n-nodes-langchain.memoryBufferWindow"]

workflow_json_compressed:
  [encoded data, 7120 characters]


name: Crypto Exchange Listing & Delisting Alerts to Telegram, X, and Discord
author_name: Malik Hashir
author_username: malikx
categories: []
created_at: 2025-09-04T00:20:47.749Z
updated_at: 2025-09-04T00:20:47.749Z
url: https://n8n.io/workflows/8236
scraped_at: 2025-12-24 13:02:46
description:
  Purpose and Audience
  This n8n workflow template is designed to provide real-time alerts on new cryptocurrency exchange listings and delistings. It caters especially to crypto traders, investors, and enthusiasts who want to stay ahead of market changes by receiving timely notifications about token availability across major exchanges like Binance, Bybit, Coinbase, OKX, Upbit, Bithumb, and Hyperliquid. The alerts are delivered via popular communication channels Telegram, X (formerly Twitter), and Discord, ensuring you never miss important updates.

  What It Does
  The workflow continuously tracks new token listings announcement from Binance, Bybit, Coinbase, Bithumb, OKX, Upbit, and Hyperliquid futures exchange. It also monitors delistings announcement from Binance, Bybit, OKX, Upbit, and Coinbase. When a new listing or delisting announcement is detected, it automatically sends instant alerts to your subscribed Telegram groups or channels, X accounts, and Discord servers, helping you react quickly to market changes.

  Who Is It For
  This workflow is perfect for crypto traders, portfolio managers, market analysts, and anyone active in cryptocurrency investment or community management. By automating the alert process, it saves time and ensures you receive critical exchange listing updates immediately on your preferred platforms without manual monitoring.

  How to Setup
  Complete video tutorial setup guide is included with the workflow file. The step-by-step guide walks you through configuring API credentials, connecting your Telegram, X, and Discord accounts, and customizing alert preferences to fit your needs.

nodes_used:
  ["n8n-nodes-base.scheduleTrigger","n8n-nodes-base.limit","n8n-nodes-base.if","n8n-nodes-base.supabase","n8n-nodes-base.httpRequest","n8n-nodes-base.limit","n8n-nodes-base.if","n8n-nodes-base.supabase","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.supabase","n8n-nodes-base.supabase","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.twitter","n8n-nodes-base.twitter","n8n-nodes-base.stickyNote","n8n-nodes-base.discord","n8n-nodes-base.discord"]

workflow_json_compressed:
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name: Personal Life Manager with Telegram, Google Services & Voice-Enabled AI
author_name: Derek Cheung
author_username: derekcheungsa
categories: []
created_at: 2025-09-04T01:39:30.352Z
updated_at: 2025-09-04T01:39:30.352Z
url: https://n8n.io/workflows/8237
scraped_at: 2025-12-24 13:02:41
description:
  How it works:
  This project teaches you to create a personal AI assistant named Jackie that operates through Telegram. Jackie can summarize unread emails, check calendar events, manage Google Tasks, and handle both voice and text interactions. The assistant provides a comprehensive digital life management solution accessible via Telegram messaging.

  Key Features: 
  Supports hands-free voice interaction
  Maintains conversation memory
  Integrates with major Google services
  Provides personalized assistance for email management, scheduling, and task organization

  Step-by-step:
  Telegram Trigger: 
  The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text input.

  Voice Processing: 
  If a voice message is received, the workflow retrieves the voice file from Telegram and uses OpenAI's transcription API to convert speech to text.

  AI Assistant: The processed text (whether original text or transcribed voice) is passed to Jackie, the AI assistant powered by OpenRouter's language model.

  Tools Integration: 
  Jackie is equipped with several productivity tools:

  Get Email: Uses Gmail API to fetch unread emails from the inbox with sender, date, subject, and summary information

  Google Calendar: Retrieves calendar events for specified dates, filtering out irrelevant future events

  Google Tasks: Both creates new tasks and retrieves existing tasks from Google Tasks lists

  API Keys Required:
  Telegram Bot API: Create a bot via @BotFather on Telegram to get your bot token
  OpenAI API: Required for voice-to-text transcription 
  OpenRouter API: Powers the AI language model responses 
  Google OAuth2: Needed for Gmail, Google Calendar, and Google Tasks integration


  Response Generation:
  The AI formulates intelligent responses based on the gathered information, current date context, and conversation history, then sends the response back to the user via Telegram in Markdown format.

nodes_used:
  ["n8n-nodes-base.googleCalendarTool","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.gmailTool","n8n-nodes-base.telegramTrigger","n8n-nodes-base.telegram","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.telegram","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.lmChatOpenRouter","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.googleTasksTool","n8n-nodes-base.googleTasksTool","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.gmailTool","@n8n/n8n-nodes-langchain.agent"]

workflow_json_compressed:
  [encoded data, 5384 characters]


name: Log E-commerce Orders in Google Sheets with Monthly Tabs & Status Tracking
author_name: Ruthwik
author_username: ruthwik
categories: []
created_at: 2025-09-04T08:51:22.229Z
updated_at: 2025-09-04T08:51:22.229Z
url: https://n8n.io/workflows/8244
scraped_at: 2025-12-24 13:02:44
description:
  n8n Google Sheets Monthly Order Logger

  This n8n template records incoming e-commerce orders into Google Sheets, auto-creates a monthly sub-sheet, and adds a “Status” dropdown so your team can track fulfillment at a glance.

  Use cases

  Centralize order logs, coordinate shipping across months, trigger customer updates (e.g., WhatsApp/Email) from status changes, and build lightweight ops dashboards.

  Good to know

  The Google Sheet ID is the part in the URL between /d/ and the next slash:  
    https://docs.google.com/spreadsheets/d/&lt;sheetId&gt;/.
  A new sub-sheet is created every month (sheet name = current month, e.g., “September 2025”). If it already exists, the workflow appends to it.
  The Status column uses data validation with these options:  
    Not Shipped, Pickup Scheduled, Shipped, InTransit, Delivered, Cancelled.
  Make sure the Google credential in n8n has edit access to the spreadsheet.
  The Webhook URL must be updated in your Shopify Settings → Notifications → Webhooks page with the required Order events (e.g., Order creation, Order update, Order fulfillment).  
    Reference: Shopify Webhooks Guide

  How it works

  Order created (Webhook/Trigger): Receives a new order payload from your store/stack.  
  Config (set spreadsheetId): Stores the target Google Sheets spreadsheetId (copied from the URL).  
  Get Order Sheets metadata: Lists existing tabs to see if the tab for the current month already exists.  
  Generate Sheet Name: Computes the sheet name like {{ $now.format('MMMM YYYY') }}.  
  If (sheet exists?):  
     True → Google Sheets Row values (existing): Prepares the row for append using the month tab.  
     Append to Existing Orders Sheet: Appends the order as a new row.  
     False → Set Sheet Starting row/col: Sets starting cell (e.g., A1) for a brand-new month tab.  
     Create Month Sheet: Creates a new tab named for the current month.  
     Write Headers (A1:…): Writes the column headers.  
     Google Sheets Row values: Maps payload fields into the header order and applies validation to Status.  
     Append to Orders Sheet: Appends the first row into the newly created month tab.

  How to use

  In Config, paste your spreadsheetId from the sheet URL and confirm your Google credential has edit access.  
  (Optional) Adjust the month-tab naming format to match your preference.  
  In Shopify → Settings → Notifications → Webhooks, add your n8n webhook URL and select the Order events (Order creation, Order update, Order fulfillment, etc.) you want to capture.  
  Deploy the workflow and send a sample order to the trigger; a new month tab will be created automatically on the first order of each month.

  Requirements

  n8n instance with the Google Sheets node credential configured.  
  A Google Spreadsheet you own or can edit.  
  A Shopify store with webhook events enabled (see Shopify Webhooks Guide).

  Customising this workflow

  Add/remove columns (e.g., taxes, discounts, warehouse notes).  
  Change the Status list or add conditional formatting (e.g., green = Delivered).  
  Chain automations: on Status update → send tracking links, COD confirmation, or delivery feedback forms.  

nodes_used:
  ["n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.webhook","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets","n8n-nodes-base.googleSheets","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 5872 characters]


name: Learn Secure Webhook APIs with Authentication and Supabase Integration
author_name: Wayne Simpson
author_username: nocodecreative
categories: []
created_at: 2025-09-04T15:22:04.853Z
updated_at: 2025-09-04T15:22:04.853Z
url: https://n8n.io/workflows/8258
scraped_at: 2025-12-24 13:02:41
description:
  This template is a practical introduction to n8n Webhooks with built-in examples for all major HTTP methods and authentication types. It is designed as a learning resource to help you understand how webhooks work in n8n, how to connect them to a data store, and how to secure them properly.

  What’s included:

  Webhook nodes for GET, POST, PUT, PATCH, DELETE, and HEAD
  Demonstrations of Basic Auth, Header Auth, and JWT Auth
  Supabase integration for creating, retrieving, updating, and deleting rows
  Example response handling with Respond to Webhook nodes
  Sticky notes explaining each method, response type, and security option

  Use this template to:

  Learn how to configure and test webhooks in n8n
  Explore different authentication strategies
  Connect webhooks to a simple Supabase table
  Understand best practices for securing webhook endpoints

  This workflow is intended as an educational starting point. It shows you how to receive requests, map data, and return responses securely. For production use, adapt the structure, apply your own security policies, and extend the logic as needed.

  Check out the YouTube video here: https://www.youtube.com/watch?v=o6F36xsiuBk

nodes_used:
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workflow_json_compressed:
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name: Build a Multichannel Customer Support AI Assistant with Chatwoot & OpenRouter
author_name: George Zargaryan
author_username: zrgrn
categories: []
created_at: 2025-09-04T16:02:13.770Z
updated_at: 2025-09-04T16:02:13.770Z
url: https://n8n.io/workflows/8260
scraped_at: 2025-12-24 13:02:41
description:
  Multichannel AI Assistant Demo for Chatwoot

  This simple n8n template demonstrates a Chatwoot integration that can:

  Receive new messages via a webhook.
  Retrieve conversation history.
  Process the message history into a format suitable for an LLM.
  Demonstrate an AI Assistant processing a user's query.
  Send the AI Assistant's response back to Chatwoot.

  Use Case:
  If you have multiple communication channels with your clients (e.g., Telegram, Instagram, WhatsApp, Facebook) integrated with Chatwoot, you can use this template as a starting point to build more sophisticated and tailored AI solutions that cover all channels at once.

  How it works
  A webhook receives the message created event from Chatwoot.
  The webhook data is then filtered to keep only the necessary information for a cleaner workflow.
  The workflow checks if the message is "incoming." This is crucial to prevent the assistant from replying to its own messages and creating endless loops.
  The conversation history is retrieved from Chatwoot via an API call using the HTTP Request node. This allows the assistant's interaction to be more natural and continuous without needing to store conversation history locally.
  A simple AI Assistant processes the conversation history and generates a response to the user based on its built-in knowledge base (see the prompt in the assistant node).
  The final HTTP Request node sends the AI-generated response back to the appropriate Chatwoot conversation.

  How to Use
  In Chatwoot, go to Settings → Integrations → Webhooks and add your n8n webhook URL. Be sure to select the message created event.
  In the HTTP Request nodes, replace the placeholder values:
      https://yourchatwooturl.com
      api_access_token
      You can find these values on your Chatwoot super admin page.
  The LLM node is configured to use OpenRouter. Add your OpenRouter credentials, or replace the node with your preferred LLM provider.

  Requirements
  An API key for OpenRouter or credentials for your preferred LLM provider.
  A Chatwoot account with at least one integrated channel and super admin access to obtain the api_access_token.

  Need Help Building Something More?

  Contact me on:
  Telegram:** @ninesfork
  LinkedIn:** George Zargaryan

  Happy Hacking! 🚀

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name: Expense Logging with Telegram and Google Sheets
author_name: Gtaras
author_username: tarasidis
categories: []
created_at: 2025-09-04T22:36:34.927Z
updated_at: 2025-09-04T22:36:34.927Z
url: https://n8n.io/workflows/8268
scraped_at: 2025-12-24 13:02:45
description:
  Weekly Summaries and Budget Alerts
  Who’s it for
  This workflow is perfect for individuals who want a simple expense tracker without needing a full app. If you already use Telegram daily, this makes it effortless to log purchases, track spending, and stay accountable to your budget.

  How it works / What it does
  Send an expense in Telegram using the format /spent 5 lunch.
  n8n parses the message and appends the entry to Google Sheets.
  Every Sunday at 11:00, the workflow sends a weekly expense summary to Telegram.
  If you exceed your weekly budget (default €100), you’ll instantly get a budget warning alert.
  Optionally, the sheet can be cleared weekly to start fresh.

  How to set up
  Create a Telegram bot with BotFather, copy the token, and get your Chat ID via getUpdates.
  Make a copy of the provided Google Sheets template and connect your Google credentials in n8n.
  Replace &lt;YOUR_CHAT_ID&gt; and &lt;YOUR_SHEET_ID&gt; placeholders in the workflow.
  Adjust the budget threshold in the “Check Weekly Budget” node if needed.
  Activate the workflow and test with a sample expense.
  Requirements
  What to do
  A Telegram bot (free, via BotFather).
  Google Sheets with n8n OAuth2 credentials.
  An n8n instance (self-hosted or cloud).
  How to customize the workflow
  Change the budget threshold in the Code node.
  Update the summary schedule in the Schedule Trigger node.
  Expand the Google Sheet with more categories or details.
  Personalize the Telegram messages to fit your style.

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name: Automate B2B Lead Generation & Email Campaigns with Google Maps, SendGrid & AI
author_name: Ezema Kingsley Chibuzo
author_username: kingsley
categories: []
created_at: 2025-09-04T23:39:28.681Z
updated_at: 2025-09-04T23:39:28.681Z
url: https://n8n.io/workflows/8269
scraped_at: 2025-12-24 13:02:46
description:
  📌 Overview
  This n8n-powered workflow automates the entire lifecycle of lead generation and email workflows/campaign. It combines six specialized workflows into one seamless system that scrapes fresh leads, sends personalized emails, tracks engagements, detects replies, classifies responses, handles follow-ups, and keeps a live CRM updated — all in one loop.
  Designed for B2B cold outreach and follow-up nurturing, this system integrates with Apify, Google Sheets, SendGrid, Gmail, and OpenAI for AI summarization and real-time alerts.

  🧠 What It Does
  This workflow automates the entire lifecycle of B2B cold campaign. It:
  Scrapes targeted leads directly from Google Maps (via Apify).
  Extracts verified emails from business websites with anti-blocking safeguards.
  Stores everything in a centralized Google Sheets CRM.
  Sends personalized emails via SendGrid, with unique embedded IDs for tracking.
  Tracks delivery, opens, clicks, and bounces in real time through webhook events.
  Detects replies from Gmail, matches them to the right campaign stage, and updates the CRM.
  Uses AI classification to label replies (Interested, Not Interested, Miscellaneous).
  Routes qualified replies directly to your sales team or Slack/Telegram channel.
  Automates follow-up emails (5-day & 10-day intervals) for non-responders.
  Provides light analytics & reporting in Google Sheets for quick insights (with deeper logs available in SendGrid).

  💡 Why This Workflow
  All-in-One Solution**: Instead of juggling multiple tools, this workflow handles lead gen, outreach, tracking, and CRM updates in one place.
  Smart Reply Handling**: Never lose a lead — every reply is tracked, classified, and routed intelligently.
  Scalable & Modular**: Each workflow (lead gen, email sending, webhook, replies, routing, follow-ups) can run independently or as part of the full system.
  Time-Saving: Reduces manual lead collection, email follow-up, and CRM updating by **90%+.
  Client-Ready**: Built with reliability in mind — randomized delays, duplicate prevention, priority logic for status updates, and AI-powered classification.

  👤 Who It’s For
  This workflow is ideal for:
  Agencies** running cold campaigns for clients.
  B2B Businesses** looking to automate lead generation and follow-ups.
  Freelancers / Consultants** who need a plug-and-play outreach system without expensive SaaS subscriptions.
  Sales Teams** that want structured, real-time leads routed directly to their inbox or Slack.
  Startups** who want a scalable, low-cost alternative to tools like Apollo, Firecrawl, Bright Data or Reply.io.

  ⚙️ How It Works
  🧩 1. Lead Generation Workflow
  🎯 Purpose
  Scrape fresh B2B leads from Google Maps, crawl their websites to extract verified email addresses, and upload structured, clean lead data into a Google Sheets CRM.
  🛠 How It Works
  1. User Input via Form Trigger
  The workflow begins with a form asking for:
    Business keyword (e.g. "Dentist")
    Location (e.g. "Florida")
    Lead limit (e.g. 50)
    
  2. Scrape Google Maps via Apify
  Calls the Apify Google Maps Scraper Actor
  Extracts structured business data like:
  Business Name, Website, Phone, Category, Rating, Address.

  3. Website Filtering & Normalization
  Filters out businesses with no website
  Cleans up URLs

  4. Website Email Extraction
  Sends direct HTTP GET requests to the homepage of each business
  Parses the raw HTML for public-facing email addresses using regex
  Implements anti-blocking techniques:
    Random delays between requests
    Custom headers / User-Agent spoofing
    Graceful skip on failures
    
  5. Final Filtering & Data Structuring
  Keeps only businesses with a valid email address
  Constructs lead objects with:
  Business Name, Category, Email, Website, Phone, Rating, Location.

  6. Upload to Google Sheets CRM
  Pushes leads to a connected Google Sheet that acts as the system’s central CRM
  This CRM becomes the source for the email sending workflow

  🧩 2. Send an Email Workflow
  🎯 Purpose
  Automatically sends personalized emails to verified leads using rotating templates, embedded ID tracking, and campaign-stage tagging.
  🛠 How It Works
  1. Pull Active Leads from CRM
  Retrieves fresh leads from the Google Sheet where
    
  2. Select a Random Template
  Pulls from a template library stored in a separate Google Sheet
  Injects lead-specific variables into placeholders like:
  [Business Name], [Category], [Location], etc.

  3. Embed Unique Tracking ID
  Appends an embedded ID token to the email. This enables accurate reply source tracking across all email stages

  4. Send Email via SendGrid
  Sends the message using SendGrid's transactional API
  Emails are tagged internally according to email type.

  🧩 3. Webhook Event Workflow
  🎯 Purpose
  Processes SendGrid webhook events (e.g., delivered, opened, clicked, bounced) and updates the CRM with prioritized delivery status and engagement tracking — using clean classification and smart update logic.
  🛠 How It Works
  1. Receive Events via Webhook Trigger
  Listens for real-time webhook events from SendGrid, including:
    delivered, bounce, deferred, processed, open, click, unsubscribe, spamreport, etc.
   
  2. Classify Each Event Type
  A custom code node adds a route label:
    status: delivery-level events
    engagement: recipient interaction events
    others: uncategorized or unsupported
   
  3. Switch-Based Routing
  Status Events**:
    Applies priority logic
    If multiple status events are received for the same lead, only the highest-priority event is stored
    Updates corresponding CRM fields:
  Engagement Events**:
    Detects interactions like:
      Opened, Clicked, Unsubscribed, Spam Reported
    Updates CRM fields:
      Opened, Clicked, Unsubscribed, Spam Reported, Engaged At
    Preserve first-time interaction records and avoiding regressions
  Others Branch**:
    Logs or gracefully skips events not explicitly supported
   
  4. CRM Synchronization
  Merges event data with the correct lead by matching Email
  Ensures all updates are timestamped and consistent across systems

  🧩 4. Reply Update Database Workflow
  🎯 Purpose
  Polls Gmail inbox, extracts replies, determines their source, and logs them in both the CRM and a message tracker sheet.
  🛠 How It Works
  1. Poll Gmail for New Replies
  Uses Gmail API to fetch recent messages
  Filters out auto-replies, no-reply addresses, or irrelevant responses

  2. Prevent Duplicate Processing
  Checks each message against a "Processed Message IDs" Google Sheet
  Skips if the message has been handled before

  3. Extract Reply Metadata
  4. Match to Lead & Update CRM
  Determines the original email stage based on ID
  Updates necessary fields

  🧩 5. Email Routing Workflow
  🎯 Purpose
  Uses AI to classify replies by intent (Interested, Not Interested, or Miscellaneous) and automatically routes, labels, and logs them accordingly.
  🛠 How It Works
  1. Receive Cleaned Reply
  Triggered after a set time interval

  2. Classify Using AI (LangChain / OpenAI)
  The reply is analyzed and categorized as:
    Interested: wants to talk, asks for more info
    Not Interested: says no or unsubscribes
    Miscellaneous: unclear or unrelated response

  3. Gmail Label Assignment
  Adds Gmail label based on classification

  4. Handle “Interested” Replies
  If Interested:
    Adds label in Gmail
    Forwards message to a sales or response channel
    Updates Google Sheet CRM

  🧩 6. Follow-Up Email Workflow
  🎯 Purpose
  Automatically sends up to two follow-up emails to leads who showed interest (opened or clicked) but haven’t replied yet.
  🛠 How It Works
  1. Scheduled Execution
  Runs daily or at set intervals

  2. Filter Leads for Follow-Up
  Checks that desired conditions are met:
    Required number of days have passed:
      5 days → Follow-Up 1
      10 days → Follow-Up 2

  3. Choose and Personalize Template
  Injects lead-specific data
  Embeds corresponding for reply tracking

  4. Send via SendGrid
  Message is tagged by stage
  Sent using the same logic as the original email

  5. Update CRM
  Increments:
    Follow-Up Sent flag
    Follow-Up Count
    Follow-Up Time field

  ✅ Setup Requirements (Before You Start)
  Prepare these items to avoid interruptions during setup:
  🌍 Domain DNS Access**
    You’ll need to add TXT/CNAME records in your registrar (GoDaddy, Namecheap, Cloudflare, etc.) to authenticate your domain with SendGrid.
  📧 Domain Email Address or Single Sender Authentication (e.g., hello@yourbusiness.com)**
    Needed for SendGrid domain authentication (don’t use Gmail/Yahoo).
    This step ensures emails are not flagged as spam.
  Tip: If you don’t own a domain, you can use a single sender email to test, but for production you MUST authenticate a domain.
  🔑 API Keys / Credentials**
    Apify API Key → for Google Maps scraping.
    SendGrid API Key → for sending emails + webhook events.
    Google Sheets OAuth Credentials → for CRM integration.
    Gmail API Credentials → for reply detection.
    OpenAI API Key → for AI-based reply classification.
  📊 Google Sheet (CRM)**
    Add desired columns: Business Name, Email, Website, Phone, Category, Status, Reply, Follow-Up Count.
  🌐 n8n Environment (Cloud or Self-Hosted)**
    Must allow Apify node installation.

  🛠 How to Set It Up
  Open n8n (Cloud or Self-Hosted).
  Install Apify node before importing.
     Search Apify  → click Install.
  Import the provided .json workflow file into your n8n editor.
  Set up the required credentials:
     🔑 Apify API Key,
     🔑 SendGrid API Key,
     🔑 Google Sheets OAuth,
     🔑 Gmail API,
     🔑 OpenAI API Key.
  Prepare your Google Sheet (CRM).
     Verify column names match your workflow fields.
     Adjust “Get Desired Fields” node in n8n “Lead generation workflow” if you add/remove columns.
  Enable SendGrid Webhook Events.
     Go to SendGrid → Settings → Mail Settings → Event Webhook.
     Paste the webhook URL from your n8n “Webhook Event Workflow”.
     Select: Delivered, Opened, Clicked, Bounced, Unsubscribed, Spam Report.
  Run a test.
     Trigger the Lead Generation workflow → check Google Sheets for leads.
     Send a test email → verify delivery + engagement updates in CRM.
     Reply from a test inbox → confirm Gmail polling + AI classification.

  📂 Additional Provided Resources.
  To help you get started faster, you’ll also receive:
  SendGrid Setup and Troubleshooting document.
  Two ready-to-use Google Sheets example templates** which can be modified to suit your business needs:
    Email Workflow DB CRM
      Includes:
        Leads Tab → structured space for scraped businesses and contact details.
        Email Templates Tab → pre-written templates for the main email, 1st follow-up, and 2nd follow-up (with placeholders for personalization).
        Analytics Tab → light reporting on sends, opens, clicks, and replies to give quick campaign insights.
    Processed Gmails IDs
      A simpler sheet designed for Gmail reply handling.
      Useful for tracking processed messages and avoiding duplicates while you familiarize yourself with how reply updates work.

  🎨 Customization Tips
  Templates**: Update the Google Sheets Templates tab with your own outreach copy. Use placeholders like [Business Name], [Location], [Category] so each email feels personalized.
  CRM Fields: Add or remove CRM columns depending on your business needs (e.g., Industry, Revenue, Sales Owner, Notes). Just make sure the field names match in n8n’s **“Grab Desired Fields” nodes in the Lead generation workflow.
  Follow-Up Logic: Adjust the timing for follow-ups. Default is **5 days (Follow-Up 1) and 10 days (Follow-Up 2), but you can easily change this to 3/7/14 days or any schedule your sales process requires.
  Reply Routing**: Customize how AI classification works. For example, rename labels (“Hot Lead”, “Not Interested”, “Out of Scope”) and route replies differently (e.g., forward “Interested” to your sales inbox, Slack channel, or Telegram bot).
  Analytics & Reporting**: Expand the Google Sheets reporting tab. You can add pivot tables for deeper campaign insights. 
  For more advanced analytics, SendGrid also keeps full logs.*
  Scalability**:
    Add proxy handling for higher-volume scraping.
    Switch to a database (Postgres, Supabase, MongoDB) instead of Google Sheets if managing thousands of leads.
    Use multiple SendGrid accounts or IP warm-up strategies for large-scale sending.
  Scraping Alternatives**:
    If you prefer not to use direct HTTP requests for email extraction, you can integrate with external scrapers like:
      Firecrawl – lightweight scraper for web/email extraction.
      Bright Data – residential proxies + scraping tools.
      Apify Website Scrapers – customizable actors for deep site scraping.
    These can plug into the workflow instead of (or alongside) the built-in email scraper.

  ✨ Predefined Templates vs. AI-Generated Emails
  By default, this workflow uses predefined templates stored in Google Sheets. This design choice was intentional, and here’s why:
    ✅ Reliability: Alway work, no prompt issues.
    ✅ Cost Savings: no API token usage.
    ✅ Total Control, Consistent & Customizable: You control tone and can tweak anytime.

  ⚡ That said, you can absolutely swap out the template system for AI-based generation if you prefer dynamic messaging. The workflow is flexible — just keep in mind the trade-offs in cost, reliability, and control.
  ⚡ Best approach: start with templates for stability, then add AI if you want more variety.

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name: Dynamic MCP Server Selection with OpenAI GPT-4.1 and Contextual AI Reranker
author_name: Jinash Rouniyar
author_username: jinash
categories: []
created_at: 2025-09-05T03:48:50.424Z
updated_at: 2025-09-05T03:48:50.424Z
url: https://n8n.io/workflows/8272
scraped_at: 2025-12-24 13:02:46
description:
  PROBLEM
  Thousands of MCP Servers exist and many are updated daily, making server selection difficult for LLMs.
  Current approaches require manually downloading and configuring servers, limiting flexibility.
  When multiple servers are pre-configured, LLMs get overwhelmed and confused about which server to use for specific tasks.

  This template enables dynamic server selection from a live PulseMCP directory of 5000+ servers.

  How it works
  A user query goes to an LLM that decides whether to use MCP servers to fulfill a given query and provides reasoning for its decision.
  Next, we fetch MCP Servers from Pulse MCP API and format them as documents for reranking
  Now, we use Contextual AI's Reranker to score and rank all MCP Servers based on our query and instructions

  How to set up
  Sign up for a free trial of Contextual AI here to find CONTEXTUALAI_API_KEY.
  Click on variables option in left panel and add a new environment variable CONTEXTUALAI_API_KEY.
  For the baseline model, we have used GPT 4.1 mini, you can find your OpenAI API key here

  How to customize the workflow
  We use chat trigger to initate the workflow. Feel free to replace it with a webhook or other trigger as required.
  We use OpenAI's GPT 4.1 mini as the baseline model and reranker prompt generator. You can swap out this section to use the LLM of your choice.
  We fetch 5000 MCP Servers from the PulseMCP directory as a baseline number, feel free to adjust this parameter as required.
  We are using Contextual AI's ctxl-rerank-v2-instruct-multilingual reranker model, which can be swapped with any one of the following rerankers: 
    1) ctxl-rerank-v2-instruct-multilingual
    2) ctxl-rerank-v2-instruct-multilingual-mini
    3)  ctxl-rerank-v1-instruct
  You can checkout this blog for more information about rerankers to learn more about them.

  Good to know:
  Contextual AI Reranker (with full MCP docs): ~$0.035/query
  Includes 0.035 for reranking + ~$0.0001 for OpenAI instruction generation.
  OpenAI Baseline: ~$0.017/query

nodes_used:
  ["@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.if","n8n-nodes-base.merge","n8n-nodes-base.merge","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.chatTrigger","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.chat","n8n-nodes-base.code","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.chat","n8n-nodes-contextualai.contextualAi"]

workflow_json_compressed:
  [encoded data, 5720 characters]


name: Create SEO Content Brief from Keyword to Google Doc
author_name: Simeon Penev
author_username: monkatagpt
categories: []
created_at: 2025-09-05T08:44:38.780Z
updated_at: 2025-09-05T08:44:38.780Z
url: https://n8n.io/workflows/8289
scraped_at: 2025-12-24 13:02:45
description:
  Who’s it for
  Content/SEO teams who want a fast, consistent, research-driven brief for a copywriters from a single keyword—without manual review and analysis of the SERP (Google results).

  How it works / What it does
  Form Trigger collects the keyword/topic and redirects to Google Drive Folder after the final node.
  FireCrawl Search & Scrape pulls the top 5 pages for the chosen keyword.
  AI Agent (with Think + OpenAI Chat Model) analyzes sources and generates an original Markdown brief.
  Markdown to JSON converts the Markdown into Google Docs batchUpdate requests (H1/H2/H3, lists, links, spacing). Then this is used in Update a document for updating the empty doc.
  Create a document + Update a document write a Google Doc titled “SEO Brief for ” and update the Google Doc in your target Drive folder.

  How to set up
  Add credentials: Firecrawl (Authorization header), OpenAI (Chat), Google Docs OAuth2.
  Replace placeholders: {{APIKEY}}, {{googledrivefolderid}}, {{googledrivefolderurl}}.
  Publish and open the Form URL to test.

  Requirements
  Firecrawl API key • OpenAI API key • Google account with access to the target Drive folder.

  Resources
  Google OAuth2 Credentials Setup - https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/  
  Firecrawl API key - https://take.ms/lGcUp  
  OpenAI API key - https://docs.n8n.io/integrations/builtin/credentials/openai/

nodes_used:
  ["n8n-nodes-base.formTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.googleDocs","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.toolThink","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 10680 characters]


name: AI Recruiting Pipeline: Job to Candidate Shortlist with Apollo & Airtable
author_name: Fabian Herhold
author_username: fabianherh
categories: []
created_at: 2025-09-05T10:28:25.383Z
updated_at: 2025-09-05T10:28:25.383Z
url: https://n8n.io/workflows/8292
scraped_at: 2025-12-24 13:02:42
description:
  Who’s it for
  Recruiting agencies, executive search firms, and in-house talent teams that want to automate candidate sourcing and prequalification. Instead of spending hours searching, scoring, and writing outreach, this workflow turns any job description into a ready-to-use shortlist with personalized messages.

  Youtube Walkthrough

  What it does (How it works)
  This workflow takes a job description (title, description, and location) and runs a complete recruiting automation pipeline:

  Normalize job titles** and generate variations to widen search coverage.
  Search candidates** in Apollo (or your CRM / database of choice).
  Remove duplicates** to keep clean lists.
  Score candidates** with AI (0–5) and provide concise reasoning across experience, industry, and seniority.
  Enrich LinkedIn profiles** (name, title, image, location, experience).
  Create structured candidate assessments** (summary, alignment, red flags, positives).
  Generate outreach messages** (email + LinkedIn DM) tailored to the candidate.
  Write to Airtable** for job/candidate tracking and downstream automation.

  Everything is plug-and-play, with no manual searching or copy-pasting required.

  Requirements
  n8n (Cloud or self-hosted)  
  Airtable account + API access  
  Apollo API or your preferred candidate source  
  LLM provider: OpenAI or Anthropic  
  LinkedIn enrichment API (RapidAPI, Apify, etc.)  

  &gt; ⚠️ Do not hardcode API keys in HTTP nodes. Always use Credentials in n8n.

  Airtable table specifications
  Create one base (e.g., Candidate Search – From Job Description) with two tables:

  Jobs Table  
  Job Title (text)  
  Job Description (long text)  
  Job Location (text)  
  Candidates (linked to Candidates table)

  Candidates Table  
  Core fields: Name, LinkedIn URL, Job Title, Location, Image URL, Job Searches (linked)  
  Assessment fields: Summary Fit Score, Executive Summary, Title Alignment, Skill Alignment, Industry Alignment, Seniority Alignment, Company Type Alignment, Educational Alignment, Potential Red Flags, Positive Signals, Final Recommendation, Next Steps Suggestion  
  Outreach fields: Email Subject, Email Body, LinkedIn Message

  How to set up
  Connect credentials  
     Add Airtable, Apollo/CRM, and OpenAI/Anthropic credentials under n8n Credentials.

  Create Airtable base/tables  
     Follow the above spec for Jobs and Candidates. Match field names exactly to avoid mapping errors.

  Configure the trigger  
     The workflow starts from a Form/Webhook node. It captures:  
     Job Title (required)  
     Job Description (required)  
     Location (required)  
     Target Companies (optional, comma-separated domains)

  Job title mutation  
     The workflow uses an AI node to normalize the job title and generate up to 5 variations for broader candidate searches.

  Candidate search  
     Apollo (or your CRM API) is queried with the generated titles and location filters. Results are deduped.

  AI scoring & structuring  
     Candidates are scored 0–5 with clear reasoning (experience, industry, seniority, general fit). Profiles are formatted into structured JSON for Airtable.

  LinkedIn enrichment  
     Enrichment API fetches missing data (geo, image, job history).

  Candidate assessment  
     An AI model produces a full recruiter-ready evaluation (fit summary, strengths, red flags).

  Outreach generation  
     The workflow drafts a concise cold email (&lt;75 words) and LinkedIn DM (&lt;60 words), consultative in tone.

  Write to Airtable  
      All jobs and candidates (with assessments and outreach messages) are logged for review and integration.

  How to customize
  Swap Apollo with your CRM** (Greenhouse, Bullhorn, etc.).  
  Adjust scoring prompts** to match your niche (sales, engineering, healthcare).  
  Add custom filters** for target companies or industries.  
  Change outreach tone** to align with your brand voice.  
  Limit by score** (e.g., only push candidates with score ≥4).  

  Security & best practices
  Store all keys in n8n Credentials (never in nodes).  
  Use Set nodes to centralize editable variables (title, location, filters).  
  Always add sticky notes in your workflow explaining steps.  
  Rename nodes clearly for readability.  

  Troubleshooting
  No candidates found?** Loosen title variations or broaden location.  
  Low fit scores?** Refine keywords and required skills in scoring prompts.  
  Airtable errors?** Double-check Base ID, Table ID, and field names.  
  API rate limits?** Enable batching/pagination and increase intervals.  

  SEO title:  
  Build candidate shortlists from a job description to Airtable with Apollo, AI scoring, and personalized outreach  

  Keywords: recruiting automation, Apollo people search, candidate enrichment, AI scoring, Airtable recruiting CRM, LinkedIn outreach, n8n workflow template

nodes_used:
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name: AI-Powered WhatsApp Customer Support for Shopify Brands with LLM Agents
author_name: Ruthwik
author_username: ruthwik
categories: []
created_at: 2025-09-06T08:48:06.578Z
updated_at: 2025-09-06T08:48:06.578Z
url: https://n8n.io/workflows/8323
scraped_at: 2025-12-24 13:02:44
description:
  🚀 AI-Powered WhatsApp Customer Support for Shopify Brands


  This n8n template builds a WhatsApp support copilot that answers **order
  status* and *product availability** from Shopify using LLM "agents,"
  then replies to the customer in WhatsApp or routes to human support.

  Use cases

  "Where is my order?" → live status + tracking link
  "What are your best-selling T-shirts?" → in-stock sizes & variants
  Greetings / small talk → welcome message
  Anything unclear → handoff to support channel

  Good to know

  WhatsApp Business conversations are billed by Meta/Twilio/Exotel;
      plan accordingly.
  Shopify Admin API has rate limits (leaky bucket) --- stagger
      requests.
  LLM usage incurs token costs; cap max tokens and enable caching
      where possible.
  Avoid sending PII to the model; only pass minimal order/product
      fields.

  How it works

  WhatsApp Trigger\
      Receives an incoming message (e.g., "Where is my order?").

  Get Customer from Shopify → Customer Details → Normalize Input\
      Looks up the customer by phone, formats the query (lower-case, emoji
      & punctuation normalization).

  Switch (intent router)\
      Classifies into welcome, orderStatusQuery, productQuery, or
      supportQuery.

  Welcome path\
      Welcome message → polite greeting → (noop placeholder).

  Order status path (Orders Agent)

      Orders Agent (LLM + Memory) interprets the user request and
          extracts needed fields.
      Get Customer Orders (HTTP to Shopify) fetches the user's
          latest order(s).
      Structured Output Parser cleans the agent's output into a
          strict schema.
      Send Order Status (WhatsApp message) returns status, ETA,
          and tracking link.

  Products path (Products Agent)

      Products Agent (LLM + Memory) turns the ask into a product
          query.
      Get Products from Shopify (HTTP) pulls best sellers /
          inventory & sizes.
      Structured Output Parser formats name, price, sizes, stock.
      Send Products message (WhatsApp) sends a tidy,
          human-readable reply

  Support path
      Send a message to support posts the transcript/context to your
      agent/helpdesk channel and informs the user a human will respond

  How to use

  Replace the manual/WhatsApp trigger with your live WhatsApp
      number/webhook.
  Set env vars/credentials: Shopify domain + Admin API token, WhatsApp
      provider keys, LLM key (OpenAI/OpenRouter), and (optionally) your
      support channel webhook.
  Edit message templates for tone, add your brand name, and localize
      if needed.
  Test with samples: "Where is my order?", "Show best sellers", "Hi".

  Requirements

  WhatsApp Business API (Meta/Twilio/Exotel)
  Shopify store + Admin API access
  LLM provider (OpenAI/OpenRouter etc.)
  Slack webhook for human handoff

  Prerequisites

  Active WhatsApp Business Account connected via API provider
      (Meta, Twilio, or Exotel).
  Shopify Admin API credentials** (API key, secret, store domain).
  Slack OAuth app** or webhook for human support escalation.
  API key for your LLM provider (OpenAI, OpenRouter, etc.).

  Customising this workflow

  Add intents: returns/exchanges, COD confirmation, address changes.
  Enrich product replies with images, price ranges, and "Buy" deep
      links.
  Add multilingual support by detecting locale and templating
      responses.
  Log all interactions to a DB/Sheet for analytics and quality
      review.
  Guardrails: confidence thresholds → fallback to support; redact PII;
      retry on API errors.

nodes_used:
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workflow_json_compressed:
  [encoded data, 11560 characters]


name: Create an AI-Powered Virtual Receptionist with Google Calendar & Sheets
author_name: Risper
author_username: risper254
categories: []
created_at: 2025-09-06T13:11:50.134Z
updated_at: 2025-09-06T13:11:50.134Z
url: https://n8n.io/workflows/8326
scraped_at: 2025-12-24 13:02:41
description:
  🤖AI-Powered Appointment Scheduling with Google Calendar & Sheets Virtual Receptionist 

  Automate customer conversations with an AI-powered virtual receptionist. This workflow can chat naturally with clients, answer general business questions (like services, location, and hours), check availability in Google Calendar, book appointments, and save customer details in Google Sheets. Fully customizable for any business type — salons, clinics, agencies, consultants, and more.  

  📖 How It Works  

  Welcome the customer when the customer says hi  
     AI greets warmly: “Hello! I’m [AI name] from [Business name].”  

  Answer general questions  
     Provides instant replies about services, pricing, business location, hours, and availability.  

  Understand their need  
     Identifies the service requested and preferred time.  

  Check availability  
     Queries Google Calendar for open slots.  

  Gather customer details  
     Collects name, phone, and email (optional).  

  Confirm booking  
     Creates the appointment in Google Calendar.  

  Save records  
     Logs booking and customer info into Google Sheets.  

  ⚙️ Setup Steps (Quick)  
  Connect your Google Calendar and Google Sheets accounts.  
  Add your business details (name, type, services, hours, policies) to the Business Info Sheet.  
  Configure your OpenAI API key (or use n8n free credits).  
  Optional: Connect Twilio WhatsApp for direct chat responses.  

  🏢 Example Business Info (Google Sheet)  

  | business_id | business_name   | business_type       | location                          | phone           | email                     | services | calendar_id           | timezone | currency | working_hours                 | ai_name | ai_personality                   | ai_role                                                                                       | emergency_available | booking_advance_days | cancellation_hours |
  |-------------|-----------------|---------------------|----------------------------------|-----------------|---------------------------|----------|-----------------------|----------|----------|--------------------------------|---------|-----------------------------------|------------------------------------------------------------------------------------------------|----------------------|----------------------|-------------------|
  |001| Luxe Hair Studio | Hair & Beauty Salon | 123 Main Street, New York, NY 10001 | 1 (XXX) XXX-XXXX | yourbusiness@email.com | “Haircut & Styling (60 minutes, $3500…)Hair Coloring (120 minutes, $8000…)…” | calendar-id-here | GMT -3 | USD | Mon–Sat: 9:00 AM – 7:00 PM, Sun: Closed | bella | Friendly, Stylish, Professional | Manages bookings, answers FAQs, recommends services, gives beauty tips, sends reminders, etc. | no | 10 | 24 |

  ✅ Purpose: Supplies context (services, pricing, hours, AI personality, booking policies).  
  💡 The AI uses this sheet to answer general business questions (e.g., “Where are you located?”, “Do you do hair colouring?”, “What are your working hours?”).  

  📊 Appointments Sheet Example  

  | client_number | client_name | event_id  | summary                          | services |
  |----------------|-------------|-----------|----------------------------------|----------|
  | 001            | Sarah Lee   | evt-10293 | Appointment with Sarah Lee – Haircut & Styling | Haircut & Styling |
  | 002            | John Smith  | evt-10294 | Appointment with John Smith – Highlights | Highlights |

  ✅ Purpose: Logs confirmed bookings with service details and links back to Google Calendar.  

  💡 Features  
  ✅ AI receptionist with conversation memory  
  ✅ Answers FAQs – location, services, hours, pricing  
  ✅ Google Calendar integration for real-time availability  
  ✅ Google Sheets integration for customer records & reporting  
  ✅ Customizable AI name, role, and personality  

  🔑 Who It’s For  
  Salons & Spas** – Manage bookings and FAQs  
  Clinics & Health Services** – Automated scheduling + patient info  
  Agencies & Consultants** – Answer inquiries + schedule meetings  
  Any Service Business** – Save time, improve customer experience  

nodes_used:
  ["@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.googleCalendarTool","n8n-nodes-base.googleSheetsTool","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.chatTrigger","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.googleSheets","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.agent"]

workflow_json_compressed:
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name: Monitor website performance with PageSpeed Insights and send alerts
author_name: Dahiana
author_username: mssporto
categories: []
created_at: 2025-09-06T14:11:51.736Z
updated_at: 2025-09-06T14:11:51.736Z
url: https://n8n.io/workflows/8328
scraped_at: 2025-12-24 13:02:45
description:
  Monitor website performance with PageSpeed Insights and save to Google Sheets with alerts

  This n8n template automatically monitors website performance using Google's PageSpeed Insights API, compiles detailed reports, and tracks performance trends over time in Google Sheets.

  Use cases: Agency client monitoring, competitor analysis, performance regression detection, SEO reporting, site migration monitoring, A/B testing performance impact, and maintaining performance SLAs.

  Who's it for
  Digital agencies monitoring client websites
  SEO professionals tracking site performance
  DevOps teams maintaining performance SLAs
  Business owners wanting automated site monitoring

  How it works
  Automated Testing:** Scheduled audits of multiple websites using PageSpeed Insights API
  Core Web Vitals:** Tracks LCP, FID, CLS, and overall performance scores
  Historical Tracking:** Maintains performance history for trend analysis
  Alert System:** Sends notifications when performance drops below thresholds
  Detailed Reporting:** Captures specific recommendations and optimization opportunities

  Two Workflow Paths
  Scheduled Audit: Automatically tests all URLs from Google Sheet on schedule
  On-Demand Testing: Webhook endpoint for immediate single-URL testing

  How to set up
  Get a free PageSpeed Insights API key from Google Cloud Console
  Create Google Sheet with columns: URL, Site Name, Category, Alert Threshold, Last_Processed_Date and Device.
  Set up Google Sheets API credentials
  Configure notification preferences (Slack, email, etc.)
  Set audit schedule (daily, weekly, or custom)
  Define performance thresholds for alerts

  Requirements
  Google PageSpeed Insights API key (free)
  Google Sheets API access
  n8n instance (cloud or self-hosted)
  Optional: Slack/email for notifications

  Google Sheet Structure
  Input Sheet ("sites"):
  URL, Site_Name, Category, Alert_Threshold, Last_Processed_Date and Device.

  Results Sheet ("audit_results"):
  Date, URL, Site_Name, Device, Performance_Score, LCP, FID, CLS, Recommendations, Full_Report_URL

  API Usage (On-Demand)
  POST to webhook:
  {
    "url": "https://example.com",
    "site_name": "Example Site",
    "alert_threshold": 75
  }

  How to customize
  Add custom performance thresholds per site
  Include additional metrics (accessibility, SEO, best practices)
  Connect to other dashboards (Data Studio, Grafana)
  Add competitor benchmarking
  Integrate with project management tools for issue tracking
  Set up different notification channels based on severity
  Sample Google Sheet Included

nodes_used:
  ["n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.respondToWebhook","n8n-nodes-base.webhook","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.googleSheets","n8n-nodes-base.if","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.code","n8n-nodes-base.gmail","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.googleSheets","n8n-nodes-base.noOp","n8n-nodes-base.googleSheets"]

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name: Automated Forex News Alert System with Forex Factory and Telegram
author_name: Harry Gunadi Permana
author_username: harrygp
categories: []
created_at: 2025-09-07T00:46:26.621Z
updated_at: 2025-09-07T00:46:26.621Z
url: https://n8n.io/workflows/8340
scraped_at: 2025-12-24 13:02:44
description:
  Get Forex Factory News Release to Telegram
  This n8n template demonstrates how to capture Actual Data Releases as quickly as possible for trading decisions.

  Use cases:
  Get notified if the actual data release is positive or negative for the relevant currency.
  Use the Telegram chat message about the news release as a trigger to open a trading position in MetaTrader 4.

  How it works
  A news release event acts as the trigger.
  Only news with a numerical Forecast value will be processed. Events that cannot be measured numerically (e.g., speeches) are ignored.
  Extract news details: currency, impact level (high/medium), release date, and news link.
  Wait 10 seconds to ensure the Actual value is available on the news page.
  Scrape the Actual value from the news link using Airtop.
  If the Actual value is not available, wait another 5 seconds and retry scraping.
  Extract both Actual and Forecast values from the scraped content.
  Remove non-numeric characters (%, K, M, B, T) and convert values to numbers.
  Determine the effect:
  If the Actual value is lower than the Forecast value (and lower is better), send it to the True branch.
  Otherwise, send it to the False branch.

  How to use
  Enter all required credentials.
  Run the workflow.

  Requirements
  Google Calendar credentials
  Airtop API key
  Telegram Chat ID
  Telegram Bot API token

  Need Help?
  Join the Discord or ask in the Forum!

  Thank you!

  Update Sept 26, 2025:
  Add new edit node

nodes_used:
  ["n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-base.wait","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.googleCalendarTrigger","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.set","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.noOp","n8n-nodes-base.set","n8n-nodes-base.airtop","n8n-nodes-base.wait","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.set","n8n-nodes-base.noOp"]

workflow_json_compressed:
  [encoded data, 6624 characters]


name: Create a Two-Way WhatsApp + Telegram Integration for 10k+ Customer Support Chats
author_name: Ruthwik
author_username: ruthwik
categories: []
created_at: 2025-09-07T10:27:03.804Z
updated_at: 2025-09-07T10:27:03.804Z
url: https://n8n.io/workflows/8350
scraped_at: 2025-12-24 13:02:44
description:
  ⚡ Next-Gen Customer Support: Two-Way WhatsApp + Telegram Integration for 10k+ Clients
  Who is this workflow for

  This workflow is designed for **customer support teams, e-commerce
  founders, and operations managers** who want to handle thousands of
  customer queries seamlessly. Instead of building a brand-new chat
  application, it leverages WhatsApp (where customers already are) and
  Telegram (where your support team operates) to create a scalable,
  topic-based support system.

  If you are a brand handling 1000s of daily WhatsApp customer messages
  and need a structured way to map each customer into a dedicated support
  thread without chaos, this workflow is for you.

  What it does / How it works

  This two-way n8n automation bridges WhatsApp and Telegram by
  creating one Telegram forum topic per customer and syncing messages
  both ways:

  Incoming WhatsApp → Telegram
      When a new WhatsApp message arrives, the workflow checks if the
          customer already has a topic in Telegram.
      If yes → The message is forwarded into that existing topic.
      If no → A new topic is created automatically, the mapping is
          saved in the database, and the message is posted there.
      Result: every customer has a dedicated thread in your Telegram
          supergroup.
  Outgoing Telegram → WhatsApp
      When a support agent replies in a Telegram topic, the workflow
          looks up the linked WhatsApp number.
      The reply is sent back to the customer on WhatsApp, preserving
          context.
      Result: two-way synced conversations without building a custom
          app.

  How to set it up

  Configure WhatsApp Cloud API
      Create a Meta Developer account and register a WhatsApp Business
          number.
      Generate an access token and phone number ID.
  Configure Telegram Bot
      Use BotFather to create a bot and enable it in a **Telegram
          Supergroup with Topics**.
      Get the chat_id and allow the bot to create/send messages in
          topics.
  Database (Supabase/Postgres)
      Create a table wa_tg_threads to map phone_e164 ↔
          telegram_topic_id ↔ supergroup_id.
  n8n Workflows
      Workflow A: WhatsApp → Telegram
          Trigger: WhatsApp Webhook
          Steps: Lookup customer → If exists send to topic, else
              create topic → Save mapping → Forward message.
      Workflow B: Telegram → WhatsApp
          Trigger: Telegram Webhook
          Steps: Filter only topic replies → Lookup mapping → Send
              WhatsApp message.
  Testing
      Send a WhatsApp message → Check Telegram topic created.
      Reply in Telegram topic → Ensure customer receives WhatsApp
          reply.

  Requirements

  A free or paid n8n instance (self-hosted or cloud).
  WhatsApp Cloud API credentials** (phone number ID + access
      token).
  Telegram Bot token* with access to a *Supergroup with Topics**
      enabled.
  A Postgres/Supabase database to store thread mappings.
  Basic familiarity with editing HTTP Request nodes in n8n.

  How to customize the workflow

  Brand personalization:** Pre-populate first message templates
      (thank you, order status, delivery updates).
  Routing rules:** Assign specific agents to certain topics by ID
      ranges.
  Integrations:** Extend to CRMs (HubSpot, Zoho) or support
      platforms (Freshdesk, Zendesk).
  Notifications:** Push high-priority WhatsApp queries into
      Slack/Teams for instant alerts.
  Archival:** Auto-close inactive topics after N days and mark
      customers as dormant.

  Why Telegram instead of building a new App

  The client's requirement was clear: **use an existing, reliable, and
  scalable chat platform** instead of building a new app from scratch.

  Telegram Supergroups with Topics** scale to 100,000+ members and
      millions of messages, making them ideal for managing 10k+ customer
      threads.
  Agents don't need to install or learn a new tool---they continue
      inside Telegram, which is fast, free, and mobile-friendly.
  Building a custom chat app would require authentication, push
      notifications, scaling infra, and UX---all solved instantly by
      Telegram.

  This decision **saves development cost, accelerates deployment, and
  provides proven scalability**.

  Why this improves support productivity

  Organized by customer:** Each WhatsApp number has its own Telegram
      topic.
  No missed messages:** Agents can quickly scroll topics without
      drowning in one endless chat.
  Two-way sync:** Replies flow back to WhatsApp seamlessly.
  Scales automatically:** Handle 10k+ conversations without losing
      track.
  Leverages existing tools:** WhatsApp (customers) + Telegram
      (agents).

  Result: **faster responses, better tracking, and zero need to reinvent
  chat software.**

nodes_used:
  ["n8n-nodes-base.telegramTrigger","n8n-nodes-base.set","n8n-nodes-base.supabase","n8n-nodes-base.whatsApp","n8n-nodes-base.if","n8n-nodes-base.supabase","n8n-nodes-base.merge","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.merge","n8n-nodes-base.supabase","n8n-nodes-base.supabase","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.whatsAppTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.if","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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name: Generate AI Reports for Meta Ads Campaigns with Claude & Pipeboard MCP via Slack
author_name: Yves Junqueira
author_username: yves-pipeboard
categories: []
created_at: 2025-09-09T13:39:33.598Z
updated_at: 2025-09-09T13:39:33.598Z
url: https://n8n.io/workflows/8414
scraped_at: 2025-12-24 13:02:44
description:
  Who's it for
  Digital marketing agencies and Meta Ads managers who need to generate comprehensive performance reports across multiple client accounts automatically. Perfect for agencies handling 5+ Meta Ads accounts who want to save hours on manual reporting while delivering AI-powered insights to their teams.

  What it does
  Pulls performance data from multiple Meta Ads accounts for a specified time period (last 7, 14, or 30 days)
  Uses Claude AI with Pipeboard's Meta Ads MCP to analyze campaign performance, identify trends, and generate actionable insights
  Generates professional reports with AI-driven recommendations for optimization
  Automatically delivers formatted reports to your Slack channels
  Runs on a schedule (weekly/daily) or triggered manually

  How to set up

  Set up Claude AI integration (requires Anthropic API key)
  Configure Pipeboard's Meta Ads MCP connection
  Connect Slack to n8n via OAuth2
  Create a list of client account IDs in the workflow configuration
  Customize your reporting template and Slack delivery settings

  Requirements
  n8n version 1.109.2 or newer.
  Claude AI API access (Anthropic)
  Pipeboard account
  Slack workspace access

  How to customize the workflow

  Adjust the date range and metrics to track
  Modify the AI prompts for different types of insights
  Configure multiple Slack channels for different clients
  Set up custom scheduling intervals
  Add email delivery as an additional output channel

nodes_used:
  ["@n8n/n8n-nodes-langchain.lmChatAnthropic","n8n-nodes-base.splitOut","n8n-nodes-base.stickyNote","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.mcpClientTool","n8n-nodes-base.slack","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: Automated meeting attendance Tagging for Zoom Webinars with KlickTipp
author_name: KlickTipp
author_username: KlickTipp
categories: []
created_at: 2025-09-09T14:11:00.362Z
updated_at: 2025-09-09T14:11:00.362Z
url: https://n8n.io/workflows/8418
scraped_at: 2025-12-24 13:02:46
description:
  Community Node Disclaimer: This workflow uses KlickTipp community nodes.

  Introduction
  This workflow listens to Zoom webinar.ended events, validates the webhook (HMAC), fetches the past webinar details/participants, and tags each participant in KlickTipp based on attendance thresholds (e.g., ≥90%, ≥60%). It supports routing by webinar topic (Anfänger vs. Experten) so you can run differentiated follow-ups automatically.

  Benefits
  Hands-off segmentation** based on real attendance
  Accurate follow-ups** (full, partial, or no attendance)
  Scales to multiple webinars** with simple rule extensions

  Key Features
  Webhook validation** for Zoom URL registration (HMAC SHA256)
  Zoom API calls** to retrieve past webinar & participants by UUID
  Routing by webinar name** (Beginner/Expert)
  Attendance thresholds** via IF nodes (≥90% full, 60–89% partial)
  KlickTipp tagging** for engagement-driven campaigns

  Tags (KlickTipp Setup)
  Zoom webinar E-Mail Zustellung für Anfänger  
  Zoom webinar E-Mail Zustellung für Anfänger attended  
  Zoom webinar E-Mail Zustellung für Anfänger attended fully  
  Zoom webinar E-Mail Zustellung für Anfänger not attended  
  Zoom webinar E-Mail Zustellung für Experten  
  Zoom webinar E-Mail Zustellung für Experten attended  
  Zoom webinar E-Mail Zustellung für Experten attended fully  
  Zoom webinar E-Mail Zustellung für Experten not attended  

  Important Note
  This workflow is based on the companion workflow “Automate Webinar Registration with Zoom & KlickTipp Form Integration”.  
  ➡️ Both workflows must be activated together for the automations to function correctly.  

  In KlickTipp you should:  
  Create a landing page for webinar registration.  
  Set up an email campaign for invitations and follow-ups.  
  Manually create the necessary tags based on list above** 

  Testing & Deployment
  End a Zoom webinar tied to this flow.  
  Confirm the webhook triggers and participants are fetched.  
  Verify the correct attendance tags appear on contacts in KlickTipp.

  &gt; 💡 Tip: Use test emails and tweak duration to simulate different attendance bands.

  Customization
  Adjust thresholds (e.g., 80% for “full”) in IF nodes.  
  Duplicate routing/tag blocks to support more webinar topics.  
  Add error handling (e.g., retries or alerts) for API edge cases.

  Resources:  
  Use KlickTipp Community Node in n8n
  Automate Workflows: KlickTipp Integration in n8n

nodes_used:
  ["n8n-nodes-base.crypto","n8n-nodes-base.set","n8n-nodes-base.respondToWebhook","n8n-nodes-base.set","n8n-nodes-base.respondToWebhook","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","CUSTOM.klicktipp","n8n-nodes-klicktipp.klicktipp","CUSTOM.klicktipp","n8n-nodes-klicktipp.klicktipp","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.switch","n8n-nodes-base.webhook","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","CUSTOM.klicktipp","CUSTOM.klicktipp","n8n-nodes-base.filter","n8n-nodes-base.splitOut","n8n-nodes-base.splitOut","n8n-nodes-base.switch","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.wait"]

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name: Automate WordPress SEO Optimization with GPT-5 nano + Yoast SEO
author_name: Oriol Seguí
author_username: oxsr11
categories: []
created_at: 2025-09-09T15:59:07.891Z
updated_at: 2025-09-09T15:59:07.891Z
url: https://n8n.io/workflows/8423
scraped_at: 2025-12-24 13:02:46
description:
  Optimize your WordPress titles and meta descriptions with AI (OpenAI), update them directly in Yoast SEO, log results in Google Sheets, and receive a styled report by email.
  All from your own n8n instance.

  ✨ Why this workflow?

  Forget spending hours editing metadata manually: this flow automates SEO generation and updates with the help of AI.

  Fully documented**: every block includes notes so you can easily understand how it works.
  Error-proof**: reinforced with alternatives and clear alerts if something fails (nested sitemaps, blocks, etc).
  Flexible and easy to modify**: change language, keywords, or domain in one single node (OPTIONS).
  Basic support included**: designed so anyone can set it up without being an expert.

  🧠 What does the workflow do?

  Reads the sitemap or internal WordPress URLs (posts or pages).
  The website content is sent to ChatGPT (GPT-5-nano), which analyzes it and generates a personalized SEO title and meta description for higher precision.
  Updates the Yoast SEO fields in WordPress automatically.
  Logs each result (URL, TITLE, META) into Google Sheets.
  Sends a professional HTML email report with a summary of the updates.

  🛠️ Technologies & APIs Used

  n8n** (cloud or self-hosted instance).
  OpenAI** (GPT-5-nano / GPT-4o-mini).
  Google Sheets API** (to store results).
  Gmail/SMTP** (for notifications).
  Yoast SEO plugin in WordPress** (required to update meta fields).

  ⚡ Who is it for?

  Agencies & SEOs** managing multiple sites.
  Freelancers** delivering extra value to clients.
  Businesses with WordPress** wanting to improve SEO without expensive SaaS.
  Webmasters & marketers** needing clear, automated reporting.
  Curious in the world of n8n

  🎯 Problems solved

  No more manual editing of metadata for each post or page.
  Eliminates dependence on overpriced third-party tools.
  Creates an automatic SEO history of your site in Google Sheets.
  Sends clear, professional reports of every update.

  📝 Quick Setup

  Import the .json into your n8n.
  Add your credentials:

     WordPress API (Yoast SEO installed required).
     OpenAI API Key.
     Google Sheets (optional).
     Email (SMTP or Gmail).
  Adjust language, keywords, and domain in the OPTIONS node.
  Run manually or via webhook.

  💡 Tips

  Change the language in OPTIONS to adapt SEO outputs to your target market.
  If an error occurs (invalid sitemap, blocked URLs, etc.), the workflow catches it and gives you instructions.
  100% customizable: extend it to Notion, Slack, or other outputs.

  📦 What’s included?

  n8n workflow file (.json)**.
  Internal documentation notes inside the flow.
  Basic email support.

  👉 This workflow is your SEO co-pilot: fast, automated, documented, and robust.

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name: Automated Range Trading with Uniswap V3, Telegram Alerts & MetaMask Delegation
author_name: 1Shot API
author_username: oneshotapi
categories: []
created_at: 2025-09-09T18:08:54.617Z
updated_at: 2025-09-09T18:08:54.617Z
url: https://n8n.io/workflows/8427
scraped_at: 2025-12-24 13:02:42
description:
  Simple Range Trading w/ Uniswap V3

  This workflow will monitor the price of a token trading pair (default is ETH - USDC) and automatically buy into ETH or sell into USDC based on a price window configured by the user. 

  Additionally, the workflow will notify the user on Telegram before a trade is executed, giving the user 1 minute to cancel the trade before the workflow proceeds. 

  Transaction are executed via MetaMask's Delegation Framework, so trades are fully non-custodial, you retain full control of your assets at all times. 

  Check out the YouTube tutorial for a full walkthrough.

  Maintain Complete Trading Control with MetaMask Delegations

  With the MetaMask Delegation Framework, you never relinquish control of your funds to any 3rd party, not even 1Shot API. Furthermore, with this workflow, you have full control of your trading parameters and the assets you trade against. Lastly, by running your own trading setup, you can bypass fees incurred through centralized exchanges or hosted frontends that reduce your profitability. 

  Human-in-the-Loop with Telegram Notifiactions

  This workflow uses Telegram to send you real-time updates on whats happening with your trades. Specifically, the Telegram human-in-the-loop node is used to give you a change to cancel trades before they happen or immediately approve them. 

  Setup

  Create a free 1Shot API account, and create an API key.
  Import the workflow into your n8n portal.
  Create a credential for the 1Shot API nodes to communicate with your 1Shot API account.
  Trigger the sub-workflow to generate an Arbitrum server wallet and import all required smart contract methods. 
  Point the 1Shot API nodes at the appropriate smart contract methods in you 1Shot API account.
  Create a Telegram credential for notifications & input the chatID of your Telegram bot.
  Set your desired trading price range in the Swap Configs node.
  Start your trading workflow.

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workflow_json_compressed:
  [encoded data, 10680 characters]


name: Create Viral Ads with AI: NanoBanana & publish on socials via upload-post
author_name: Dr. Firas
author_username: drfiras
categories: []
created_at: 2025-09-09T18:30:50.820Z
updated_at: 2025-09-09T18:30:50.820Z
url: https://n8n.io/workflows/8428
scraped_at: 2025-12-24 13:02:41
description:
  💥 Create viral Ads with NanoBanana & Seedance, publish on socials via upload-post

  Who is this for?  
  This workflow is designed for marketers, content creators, and small businesses who want to automate the creation of engaging social media ads without spending hours on manual design, video editing, or publishing.

  What problem is this workflow solving? / Use case  
  Manually creating ads for multiple platforms is time-consuming and repetitive. You need to generate visuals, edit videos, add music, and then publish them across social channels.  
  This workflow automates the end-to-end ad production pipeline, saving time while ensuring consistent, professional-quality output.

  What this workflow does  
  Receives ad ideas via Telegram.  
  Uses NanoBanana to generate and edit realistic product images.  
  Transforms images into engaging short videos with Seedance.  
  Generates background music with Suno.  
  Merges video and audio into a polished final ad.  
  Reads brand info and generates ad copy with AI (OpenAI).  
  Publishes ads to Instagram, TikTok, YouTube, Facebook, and X via upload-post.  
  Stores media and campaign data in Google Drive and Google Sheets for tracking.  
  Sends back notifications and previews via Telegram.

  Setup  
  Connect your accounts:  
     Telegram  
     Google Drive  
     Google Sheets  
     OpenAI API  
     NanoBanana API  
     Seedance API  
     Suno API  
     Upload-post  

  Prepare Google Sheets:  
     Add a sheet for brand details (name, category, features, website).  
     Add another sheet for video logs (status, links, captions).  

  Configure upload-post:  
     Ensure your social accounts (TikTok, Instagram, YouTube, Facebook, X) are linked to upload-post.  

  How to customize this workflow to your needs  
  Prompts* → Adjust the *image/video/music prompts** to better reflect your brand’s tone and products.  
  Ad copy* → Modify the AI prompt inside the *Ads Copywriter Generator** to control wording, style, and structure.  
  Publishing scope* → Choose only the platforms you want (TikTok, Instagram, etc.) inside the *upload-post** node.  
  Storage** → Update Google Drive folder IDs and Google Sheets document IDs to match your own workspace.  

  👉 With this template, you get a fully automated viral ad production system powered by AI visuals, video rendering, and auto-publishing across social platforms. Perfect for scaling your content strategy while saving time.


  📄 Documentation: Notion Guide

  Demo Video

  🎥 Watch the full tutorial here: YouTube Demo
  Need help customizing?
  Contact me for consulting and support : Linkedin / Youtube

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name: AI Video Automation Engine - Generate & Publish YT Shorts with Veo-3 or Sora 2
author_name: SuS
author_username: sulieman-said
categories: []
created_at: 2025-09-09T19:02:30.830Z
updated_at: 2025-09-09T19:02:30.830Z
url: https://n8n.io/workflows/8429
scraped_at: 2025-12-24 13:02:44
description:
  Product Overview

  Scale short-form content without scaling your team. This template turns idea discovery → prompt & text generation → Veo-3 video rendering → vertical formatting → multi-channel publishing into one cohesive pipeline. It’s built natively on n8n, so you keep full control, self-host if you want, and extend every step with your own logic.

  What’s Inside (Modular Building Blocks)

  Idea Engine** – AI generates concise, surprising facts and a visual metaphor per topic (swappable LLM/provider).  
  Prompt & Text Composer** – Crafts an 8-second, cinematic Veo-3 prompt + title, caption, description, hashtags, tags in a consistent brand voice.  
  Renderer Integration** – Kie.ai → Veo-3 (16:9, 1080p) for fast, cinematic clips.  
  Vertical Formatter** – FFmpeg pipeline converts to 1080×1920, adds top/bottom text bands (15–20 words), and preserves loop smoothness.  
  Multi-Channel Distribution** – Uploads to YouTube Shorts and Telegram for internal review/approvals.  
  Scheduler & Orchestration** – CRON triggers, retries, and lightweight polling make the system dependable for daily publishing.  

  Why These Components (and why they work together)

  Veo-3 via Kie.ai* provides a sweet spot of *quality + speed**, ideal for short loops where style coherence matters.  
  n8n* brings *vendor-neutral orchestration**: swap LLMs, add rate limits, branch flows, or trigger on events—without rewriting your stack.  
  FFmpeg* ensures a *platform-native look** (9:16, crisp text bands, no blurry hacks).  
  Separation of concerns* (idea → text → render → edit → publish) makes it easy to *A/B test** any stage independently.  

  Key Benefits

  Hands-Free Consistency** – Daily output with a repeatable creative pattern that audiences recognize.  
  Brand-Safe Copy** – Titles, descriptions, and hashtags follow a controlled structure—polished by design.  
  Time Savings** – Replace fragmented tooling with one pipeline; no manual re-formatting, captioning, or re-uploads.  
  Creator-Grade Quality** – Cinematic loops optimized for watch time and retention on Shorts/Reels.  
  Own Your Stack** – Self-hosted orchestration and storage; no lock-in.  

  Reuse & Extension Ideas

  Topic CMS** – Feed topics from Google Sheets / Notion and mark each as “published”—perfect for content calendars.  
  Multi-Language** – Duplicate the text composer for EN/DE outputs; upload the same clip with localized metadata.  
  Thumbnail/Preview Track** – Add an image generator step for platform cards or YouTube custom thumbnails.  
  Analytics Feedback Loop** – Fetch video performance, score ideas, and prioritize winning angles automatically.  
  Compliance & Fact Trails** – Store sources next to each post for quick audits and edits.  
  Storage & Delivery** – Push masters to S3/Backblaze, serve via CDN for faster IG ingestion.  
  More Channels** – Add TikTok, X, LinkedIn publishers or a newsletter export.  
  A/B Creative** – Render multiple Veo-3 seeds, rotate captions/CTAs, and compare retention.  

  Who It’s For

  Agencies** wanting repeatable, branded Shorts at scale.  
  Creators & Media Teams** who need daily output with minimal overhead.  
  Product Marketing** looking to convert docs/reports into snackable, evergreen video facts.  
  Startups** building audience fast without adding headcount.  

  Technical Notes (at a glance)

  Orchestration:** n8n (self-hosted or cloud)  
  Video:** Veo-3 via Kie.ai (16:9 render → FFmpeg vertical remaster 1080×1920)  
  Text Stack:** Any LLM provider (swappable); outputs normalized for each platform  
  Distribution:** YouTube Data API v3,  Telegram Bot API  
  Security:** API keys via n8n credentials/ENV; public URL endpoint only serves whitelisted .mp4 filenames with proper headers  
  Reliability:** CRON triggers, bounded retries/polling, and safe fallbacks to avoid stuck runs  

  Who to use it

  To enhance the completeness, add specific step-by-step setup instructions for users to implement the workflow easily:

  Install Prerequisites
     Set up n8n on your server or local machine (production mode with reverse proxy).
     Install FFmpeg and ensure fonts (e.g., DejaVu Sans) are available.

  Configure API Credentials
     Get a Perplexity API key for idea generation.
     Request a Kie.ai API key for Veo-3 video rendering.
     Set up YouTube OAuth2 (enable YouTube Data API v3 in Google Cloud Console).
     Create a Telegram bot token via BotFather.
     Store all keys as environment variables in n8n (avoid hardcoding).

  Prepare Storage
     Create a working directory accessible by n8n with read/write rights.
     Ensure enough disk space for video caching (approx. 50–200 MB per run).

  Set Scheduling
     Add CRON triggers for automatic execution (e.g., twice daily).
     Example:
            0 12 04 * * * → 04:12 AM daily
       0 12 16 * * * → 04:12 PM daily
       
  Define Variables
     File naming conventions:
       name_vorher = raw 16:9 video
       name_nachher = final 9:16 video
     Set topic = content niche (e.g., history, ocean, futurism).

  Build Workflow Steps in n8n
     Idea Generation: Perplexity node for viral fact.
     Prompt Agent: Expand into full package (prompt, caption, hashtags).
     Video Generation: Kie.ai Veo-3 API request (poll until success).
     Download & Edit: Save raw file, convert to 9:16 with FFmpeg overlays.
     Notifications & Uploads:
       Telegram node → send video.
       YouTube node → upload with title, description, tags.
       

  Test End-to-End
     Run the workflow manually once.
     Verify video rendering, FFmpeg subtitles, Telegram message, YouTube & IG uploads.

  Go Live
     Enable CRON triggers.
     Monitor first runs for errors (API limits, FFmpeg paths, token expiry).

  Why Buy This Template

  You’re not buying a script—you’re buying a production-ready system with a deliberate creative pattern, best-practice formatting, and shipping-grade integrations. It reduces ramp-up from weeks to hours and gives you a flexible base you can keep evolving.

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name: Create Custom ASMR Sound Effects with ElevenLabs API and Google Drive
author_name: phil
author_username: phil
categories: []
created_at: 2025-09-10T07:14:40.631Z
updated_at: 2025-09-10T07:14:40.631Z
url: https://n8n.io/workflows/8439
scraped_at: 2025-12-24 13:02:44
description:
  Generate royalty-free sound effects for all your projects: ASMR, YouTube videos, podcasts, and more. This workflow generates unique AI-powered sound effects using the ElevenLabs Sound Effects API.

  Enter a text description of the sound you envision, and the workflow will generate it, save the MP3 file to your Google Drive, and instantly provide a link to listen to your creation. 

  It is a powerful tool for quickly producing unique ASMR triggers, ambient sounds, or specific audio textures without any complex software.

  Who's it for

  This template is ideal for:
  Content Creators**: Generate royalty-free sound effects for videos, podcasts, and games on the fly.
  Sound Designers & Foley Artists**: Quickly prototype and generate specific audio clips for projects from a simple text prompt.
  Developers & Hobbyists**: Integrate AI sound effect generation into projects or simply experiment with the capabilities of the ElevenLabs API.

  How to set up

  Configure API Key:
      Sign up for an ElevenLabs account and get your API key.
      In the "ElevenLabs API" node, create new credentials and add your ElevenLabs API key.
  Connect Google Drive:
      Select the "Upload mp3" node.
      Create new credentials to connect your Google Drive account.
  Activate the Workflow:
      Save and activate the workflow.
      Use the Form Trigger's production URL to access the AI ASMR Sound Generator web form.

  Requirements

  An active n8n instance.
  An ElevenLabs account for the API key.
  A Google Drive account.

  How to customize this workflow


  Change Storage**: Replace the Google Drive node with another storage service node like Dropbox, AWS S3, or an FTP server to save your sound effects elsewhere.
  Modify Sound Parameters**: In the "elevenlabs_api" node, you can adjust the JSON body to control the output. Key parameters include:
      loop (boolean, optional, default: false): Creates a sound effect that loops smoothly. Note: Only available for the ‘eleven_text_to_sound_v2’ model.
      duration_seconds (number, optional, default: auto): Sets the sound's duration in seconds (from 0.5 to 30). If not set, the AI guesses the optimal duration from the prompt.
      prompt_influence (number, optional, default: 0.3): A value between 0 and 1 that controls how strictly the generation follows the prompt. Higher values result in less variation.
  Customize Confirmation Page**: Edit the "prepare reponse" node to change the design and text of the final page shown to the user.


  .

  Phil | Inforeole | Linkedin

  🇫🇷 Contactez nous pour automatiser vos processus

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name: Automated Daily AI Summaries from WhatsApp Groups
author_name: Daniel Lianes
author_username: daniellianes
categories: []
created_at: 2025-09-10T08:22:27.546Z
updated_at: 2025-09-10T08:22:27.546Z
url: https://n8n.io/workflows/8442
scraped_at: 2025-12-24 13:02:44
description:
  Automated Daily AI Summaries from WhatsApp Groups using a Custom AI Agent

  Transform your WhatsApp group conversations into actionable business intelligence through automated AI analysis and daily reporting. This workflow eliminates manual conversation monitoring by capturing messages in real-time, processing voice notes, and delivering structured insights directly to your team.

  Overview

  This workflow provides complete conversation intelligence automation from message capture to insight delivery. It eliminates manual monitoring, analysis, and reporting by using Evolution API integration, OpenAI transcription, and advanced LLM analysis for hands-free business intelligence that scales your team's awareness of important discussions.

  Core Function: Autonomous conversation analysis that transforms WhatsApp group chatter into structured business insights with zero manual intervention, maintaining consistent daily reporting while capturing emerging opportunities and trends before your competition.

  Key Capabilities

  Real-time message capture - Monitors multiple WhatsApp groups simultaneously with instant processing and smart filtering
  Voice message transcription - Automatic conversion of audio messages to searchable text using OpenAI Whisper
  AI-powered insight extraction - Advanced LLM analysis identifies trends, opportunities, and actionable information while filtering noise
  Automated daily reporting - Scheduled intelligence summaries delivered directly to your team via WhatsApp
  Multi-group organization - Separate tracking and analysis for different communities with unified reporting
  Smart content filtering - AI agent trained to focus on business-relevant discussions (AI, automation, tech trends, opportunities)

  Tools Used

  n8n: Workflow orchestration managing the entire intelligence pipeline from capture to delivery
  Evolution API: WhatsApp Business API integration for real-time message monitoring and sending
  OpenAI Whisper: Voice message transcription ensuring no important audio content is missed
  OpenRouter/GPT-4.1: Advanced AI analysis for intelligent insight extraction and content filtering
  Google Sheets: Organized message storage with timestamps and metadata for historical analysis
  Custom AI Agent: "WhatsOn" - specialized business intelligence detective for tech and automation insights

  How to Install

  Import the Workflow: Download the JSON file and import into your n8n instance
  Configure Evolution API: Set up WhatsApp integration and webhook endpoints for message capture
  API Credentials Setup: Add OpenAI, OpenRouter, and Google Sheets credentials in n8n
  Group Configuration: Update group IDs in the "Set Info" node with your monitored groups
  Google Sheets Setup: Create organized spreadsheet with separate tabs for each group
  Schedule Configuration: Set your preferred daily summary delivery time
  Test Execution: Run manual test to verify message capture and AI analysis work correctly

  Use Cases

  Business Intelligence Automation: Stay informed about industry discussions without manual monitoring
  Opportunity Detection: Identify emerging trends, tools, and business opportunities in real-time  
  Team Knowledge Sharing: Automated distribution of relevant insights from multiple communities
  Competitive Intelligence: Monitor industry discussions to stay ahead of market developments
  Community Management: Track engagement patterns and important conversations across groups
  Voice Message Processing: Ensure audio-based insights aren't lost in team communications

  Setup Requirements

  Evolution API account: WhatsApp Business integration with webhook capabilities
  OpenAI API: Voice transcription access through Whisper API
  OpenRouter account: Access to GPT-4.1 for advanced conversation analysis
  Google Sheets: Message storage and organization with proper permissions configured
  WhatsApp Groups: Access to business or professional groups with relevant discussions

  Total setup time: 15-20 minutes once all API accounts are properly configured.

  How to Customize

  Analysis Focus: Modify the AI agent's system prompt to target your industry or specific topics. Adjust keyword priorities, conversation themes, or insight categories based on your business needs.

  Group Management: Add additional groups by extending the Switch node logic, creating new Google Sheets tabs, and updating group ID variables. Scale from 3 to unlimited group monitoring.

  Delivery Schedule: Change summary frequency from daily to weekly, multiple times per day, or custom schedules. Add multiple delivery destinations for different team segments.

  AI Intelligence: Customize the "WhatsOn" agent personality, adjust insight priorities, modify filtering criteria, or add sentiment analysis for deeper conversation understanding.

  Storage & Organization: Modify Google Sheets structure, add custom metadata fields, integrate with other databases, or connect to business intelligence dashboards for advanced analytics.

  Advanced Features

  Smart Voice Processing
  Automatically transcribes voice messages to text using OpenAI's Whisper API, ensuring critical audio-based discussions are captured and analyzed alongside text conversations.

  Intelligent Content Filtering  
  The AI agent is specifically trained to identify valuable business insights while filtering out casual conversation, ensuring your daily summaries focus on actionable information that drives decisions.

  Multi-Fragment Delivery System
  Large intelligence summaries are automatically broken into properly formatted WhatsApp messages with natural pacing to avoid delivery issues and improve readability.

  Historical Analysis Capability
  All conversations are stored with full metadata in Google Sheets, enabling historical trend analysis, keyword tracking, and long-term pattern recognition for strategic planning.

  Ready to transform group conversations into competitive intelligence? This template converts casual WhatsApp discussions into structured business insights delivered automatically to your team, ensuring you never miss important industry developments or opportunities.

  Google Sheets Template

  The workflow includes a pre-configured structure for tracking:
  Message timestamps and sender information  
  Full conversation content with voice transcriptions
  Group-specific organization and categorization
  Daily summary delivery logs and performance metrics

  Was this helpful? Let me know!

  I truly hope this WhatsApp intelligence system helps streamline your team's awareness of important conversations. Your feedback helps me create better automation resources for the n8n community.

  Ready to Build Something Great?

  If you're looking to take your n8n skills or business automation to the next level, I can help.

  🎓 n8n Coaching: Want to become an n8n pro? I offer one-on-one coaching sessions to help you master workflows, tackle specific problems, and build with confidence.
  ➡️ Book a Coaching Session

  💼 n8n Consulting: Have a complex project, an integration challenge, or need a custom workflow built for your business? Let's work together to create a powerful automation solution.
  ➡️ Inquire About Consulting Services

  Stay Updated on Automation
  For more content automation strategies, AI workflow tips, and business automation insights:
  Follow me on LinkedIn

  Happy Automating!

  Daniel Lianes

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name: Monitor Social Media Trends Across Reddit, Instagram & TikTok with Apify
author_name: Growth AI
author_username: growthai
categories: []
created_at: 2025-09-10T13:44:08.027Z
updated_at: 2025-09-10T13:44:08.027Z
url: https://n8n.io/workflows/8450
scraped_at: 2025-12-24 13:02:41
description:
  Who's it for
  Social media managers, content creators, brand managers, and marketing teams who need to track keyword performance and trending content across TikTok, Instagram, and Reddit for competitive analysis and content inspiration.
  What it does
  This workflow automatically monitors trending content across three major social media platforms using specified keywords. It scrapes posts from TikTok, Instagram, and Reddit, calculates engagement scores using platform-specific metrics, ranks content by performance, and generates a comprehensive HTML email report with the top-performing posts across all platforms.
  How it works
  The workflow follows a sequential multi-platform scraping process:

  Reddit Scraping: Searches for keyword-based posts and comments with engagement metrics
  Instagram Monitoring: Analyzes hashtag-based content with likes and comments data
  TikTok Analysis: Tracks hashtag performance including views, likes, shares, and comments
  Score Calculation: Applies platform-specific scoring algorithms based on engagement metrics
  Unified Ranking: Combines and ranks all content across platforms by engagement score
  Report Generation: Creates a detailed HTML email report with top performers and analytics

  Requirements

  Apify account with API access
  Gmail account for report delivery
  Platform-specific scrapers: Reddit Scraper Lite, Instagram Scraper, TikTok Scraper

  How to set up
  Step 1: Configure Apify credentials

  Set up Apify HTTP header authentication in n8n
  Ensure access to the required scrapers:

  Reddit: trudax~reddit-scraper-lite
  Instagram: apify~instagram-scraper
  TikTok: clockworks~tiktok-scraper

  Step 2: Customize search parameters
  Reddit configuration:

  Search terms: Modify "searches" array with your keywords
  Content type: Posts and comments (searchComments can be enabled)
  Sort method: "top" (alternatives: hot, new, relevance)
  Time period: "month" (alternatives: hour, day, week, year, all)
  Result limits: maxItems: 50, maxPostCount: 25

  Instagram configuration:

  Hashtag URLs: Update directUrls with target hashtags
  Results type: "posts" (alternatives: stories, reels)
  Time filter: "onlyPostsNewerThan": "7 days"
  Result limit: resultsLimit: 15

  TikTok configuration:

  Hashtags: Update hashtags array with target keywords
  Results per page: resultsPerPage: 20
  Time filter: "oldestPostDateUnified": "7 days"

  Step 3: Set up email reporting

  Configure Gmail OAuth2 credentials
  Update recipient email address in "Send a message" node
  Customize email subject and styling as needed

  Step 4: Adjust scoring algorithms
  Current scoring formulas:

  Reddit: (upvotes × 1) + (comments × 2)
  Instagram: (likes × 1) + (comments × 2)
  TikTok: (likes × 1) + (comments × 2) + (shares × 3) + (views ÷ 1000)

  Modify the code nodes to adjust scoring based on your priorities.
  How to customize the workflow
  Keyword and hashtag targeting

  Multiple keywords: Add arrays of search terms for broader monitoring
  Brand-specific terms: Include brand names, product names, competitor analysis
  Seasonal tracking: Adjust keywords based on campaigns or seasonal trends
  Negative filtering: Exclude irrelevant content with filtering logic

  Platform-specific customization
  Reddit enhancements:

  Subreddit targeting: Focus on specific communities
  Comment analysis: Enable comment scraping for deeper insights
  User profiling: Track specific user activity and influence

  Instagram modifications:

  Story monitoring: Track story mentions and hashtag usage
  Influencer tracking: Monitor specific account performance
  Location-based: Add geo-targeted hashtag monitoring

  TikTok optimizations:

  Trend detection: Identify viral sounds and effects
  Creator analysis: Track trending creators in your niche
  Challenge monitoring: Follow hashtag challenge performance

  Scoring and ranking customization

  Weighted metrics: Adjust multipliers based on platform importance
  Recency factors: Give bonus points to newer content
  Quality filters: Exclude low-engagement or spam content
  Sentiment analysis: Integrate sentiment scoring for brand monitoring

  Reporting enhancements

  Multiple recipients: Send reports to different team members
  Scheduled execution: Add scheduling triggers for automated monitoring
  Data export: Save results to spreadsheets or databases
  Alert thresholds: Set up notifications for high-performing content

  Engagement scoring methodology
  Platform-specific algorithms
  Reddit scoring logic:

  Emphasizes community engagement through upvotes and discussion
  Comments weighted higher (×2) as they indicate deeper engagement
  Filters out low-quality posts and spam content

  Instagram scoring approach:

  Balances visual appeal (likes) with engagement depth (comments)
  Focuses on recent content to capture trending moments
  Excludes carousel sub-items to avoid duplicate counting

  TikTok scoring system:

  Multi-factor algorithm considering all engagement types
  Views normalized (÷1000) to balance with other metrics
  Shares heavily weighted (×3) as they indicate viral potential

  Level classification
  Content automatically categorized into performance tiers:

  High: Score ≥ 10,000 (viral or highly engaging content)
  Medium: Score ≥ 1,000 (good engagement, worth monitoring)
  Low: Score &lt; 1,000 (baseline engagement)

  Results interpretation
  Comprehensive analytics dashboard
  The email report includes:

  Cross-platform leaderboard: Top 15 posts ranked by engagement score
  Platform breakdown: Performance summary by social network
  Engagement metrics: Detailed scoring and classification
  Direct links: Clickable access to original content
  Author tracking: Creator identification for influencer outreach

  Actionable insights

  Content inspiration: Identify high-performing content formats and topics
  Competitor analysis: Monitor competitor content performance
  Trend identification: Spot emerging topics before they peak
  Influencer discovery: Find creators driving engagement in your niche

  Use cases
  Brand monitoring and competitive analysis

  Brand mention tracking: Monitor how your brand performs across platforms
  Competitor surveillance: Track competitor content and engagement rates
  Crisis management: Early detection of negative sentiment or issues
  Market positioning: Understand your brand's social media presence

  Content strategy optimization

  Content format analysis: Identify which content types perform best
  Hashtag research: Discover effective hashtags for your niche
  Posting timing: Analyze when high-engagement content is published
  Trend forecasting: Spot emerging trends for proactive content creation

  Influencer and partnership identification

  Creator discovery: Find influential voices in your industry
  Partnership evaluation: Assess potential collaborator engagement rates
  Campaign performance: Track sponsored content and brand partnerships
  Community building: Identify active community members and advocates

  Workflow limitations

  API rate limiting: Subject to Apify scraper limitations and quotas
  Platform restrictions: Some content may be private or restricted
  Real-time delays: 30-second waits between platform scraping prevent rate limiting
  Manual execution: Currently triggered manually (easily schedulable)
  Single keyword focus: Current setup optimized for one keyword at a time
  Platform availability: Dependent on third-party scrapers and their maintenance

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name: Auto-Backup n8n Workflows to OneDrive with Cleanup & Email Notifications
author_name: Wessel Bulte
author_username: uuessel
categories: []
created_at: 2025-09-10T14:07:57.308Z
updated_at: 2025-09-10T14:07:57.308Z
url: https://n8n.io/workflows/8451
scraped_at: 2025-12-24 13:02:44
description:
  Automatically BackUp Your n8n Workflows to OneDrive

  This workflow automates the backup of your self-hosted n8n instance by exporting all workflows and saving them as individual .json files to a designated OneDrive folder. Each file is timestamped for easy versioning and audit tracking.

  After a successful backup, the workflow optionally cleans up old backup files and sends a confirmation email to notify you that the process completed.

  How it works

  Uses the HTTP Request node to fetch all workflows via the /rest/workflows API.
  Iterates through each workflow using SplitInBatches.
  Converts each workflow to a .json file using Set and Function nodes.
  Uploads each file to a target Microsoft OneDrive folder using OAuth2.
  Deletes old backup files from OneDrive after upload, with the option to keep backups for a configurable number of time.
  Sends an email notification once all backups have completed successfully.

  Setup instructions

  Enter your n8n Base URL and authentication details in the HTTP Request node.
  Set up Microsoft OneDrive OAuth2 credentials for cloud upload.
  Configure the Email node with SMTP credentials to receive backup confirmation.
  (Optional) Adjust the file retention logic to keep backups for a set duration.
  A Cron trigger to schedule the workflow automatically (e.g., daily or weekly).

  👉 Sticky notes inside the workflow explain each step for easy setup.

  Need Help

  Need Help
  🔗 LinkedIn – Wessel Bulte

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name: Automated News Monitoring with Claude 4 AI Analysis for Discord & Google News
author_name: Growth AI
author_username: growthai
categories: []
created_at: 2025-09-10T14:24:51.234Z
updated_at: 2025-09-10T14:24:51.234Z
url: https://n8n.io/workflows/8452
scraped_at: 2025-12-24 13:02:43
description:
  Who's it for
  Marketing teams, business intelligence professionals, competitive analysts, and executives who need consistent industry monitoring with AI-powered analysis and automated team distribution via Discord.
  What it does
  This intelligent workflow automatically monitors multiple industry topics, scrapes and analyzes relevant news articles using Claude AI, and delivers professionally formatted intelligence reports to your Discord channel. The system provides weekly automated monitoring cycles with personalized bot communication and comprehensive content analysis.
  How it works
  The workflow follows a sophisticated 7-phase automation process:
  Scheduled Activation: Triggers weekly monitoring cycles (default: Mondays at 9 AM)
  Query Management: Retrieves monitoring topics from centralized Google Sheets configuration
  News Discovery: Executes comprehensive Google News searches using SerpAPI for each configured topic
  Content Extraction: Scrapes full article content from top 3 sources per topic using Firecrawl
  AI Analysis: Processes scraped content using Claude 4 Sonnet for intelligent synthesis and formatting
  Discord Optimization: Automatically segments content to comply with Discord's 2000-character message limits
  Automated Delivery: Posts formatted intelligence reports to Discord channel with branded "Claptrap" bot personality
  Requirements

  Google Sheets account for query management
  SerpAPI account for Google News access
  Firecrawl account for article content extraction
  Anthropic API access for Claude 4 Sonnet
  Discord bot with proper channel permissions
  Scheduled execution capability (cron-based trigger)

  How to set up
  Step 1: Configure Google Sheets query management
  Create monitoring sheet: Set up Google Sheets document with "Query" sheet
  Add search topics: Include industry keywords, competitor names, and relevant search terms
  Sheet structure: Simple column format with "Query" header containing search terms
  Access permissions: Ensure n8n has read access to the Google Sheets document
  Step 2: Configure API credentials
  Set up the following credentials in n8n:
  Google Sheets OAuth2: For accessing query configuration sheet
  SerpAPI: For Google News search functionality with proper rate limits
  Firecrawl API: For reliable article content extraction across various websites
  Anthropic API: For Claude 4 Sonnet access with sufficient token limits
  Discord Bot API: With message posting permissions in target channel
  Step 3: Customize scheduling settings
  Cron expression: Default set to "0 9 * * 1" (Mondays at 9 AM)
  Frequency options: Adjust for daily, weekly, or custom monitoring cycles
  Timezone considerations: Configure according to team's working hours
  Execution timing: Ensure adequate processing time for multiple topics
  Step 4: Configure Discord integration
  Set up Discord delivery settings:
  Guild ID: Target Discord server (currently: 919951151888236595)
  Channel ID: Specific monitoring channel (currently: 1334455789284364309)
  Bot permissions: Message posting, embed suppression capabilities
  Brand personality: Customize "Claptrap" bot messaging style and tone
  Step 5: Customize content analysis
  Configure AI analysis parameters:
  Analysis depth: Currently processes top 3 articles per topic
  Content format: Structured markdown format with consistent styling
  Language settings: Currently configured for French output (easily customizable)
  Quality controls: Error handling for inaccessible articles and content
  How to customize the workflow
  Query management expansion
  Topic categories: Organize queries by industry, competitor, or strategic focus areas
  Keyword optimization: Refine search terms based on result quality and relevance
  Dynamic queries: Implement time-based or event-triggered query modifications
  Multi-language support: Add international keyword variations for global monitoring
  Advanced content processing
  Article quantity: Modify from 3 to more articles per topic based on analysis needs
  Content filtering: Add quality scoring and relevance filtering for article selection
  Source preferences: Implement preferred publisher lists or source quality weighting
  Content enrichment: Add sentiment analysis, trend identification, or competitive positioning
  Discord delivery enhancements
  Rich formatting: Implement Discord embeds, reactions, or interactive elements
  Multi-channel distribution: Route different topics to specialized Discord channels
  Alert levels: Add priority-based messaging for urgent industry developments
  Archive functionality: Create searchable message threads or database storage
  Integration expansions
  Slack compatibility: Replace or supplement Discord with Slack notifications
  Email reports: Add formatted email distribution for executive summaries
  Database storage: Implement persistent storage for historical analysis and trending
  API endpoints: Create webhook endpoints for third-party system integration
  AI analysis customization
  Analysis templates: Create topic-specific analysis frameworks and formatting
  Competitive focus: Enhance competitor mention detection and analysis depth
  Trend identification: Implement cross-topic trend analysis and strategic insights
  Summary levels: Create executive summaries alongside detailed technical analysis
  Advanced monitoring features
  Intelligent content curation
  The system provides sophisticated content management:
  Relevance scoring: Automatic ranking of articles by topic relevance and publication authority
  Duplicate detection: Prevents redundant coverage of the same story across different sources
  Content quality assessment: Filters low-quality or promotional content automatically
  Source diversity: Ensures coverage from multiple perspectives and publication types
  Error handling and reliability
  Graceful degradation: Continues processing even if individual articles fail to scrape
  Retry mechanisms: Automatic retry logic for temporary API failures or network issues
  Content fallbacks: Uses article snippets when full content extraction fails
  Notification continuity: Ensures Discord delivery even with partial content processing
  Results interpretation
  Intelligence report structure
  Each monitoring cycle delivers:
  Topic-specific summaries: Individual analysis for each configured search query
  Source attribution: Complete citation with publication date, source, and URL
  Structured formatting: Consistent presentation optimized for quick scanning
  Professional analysis: AI-generated insights maintaining factual accuracy and business context
  Performance analytics
  Monitor system effectiveness through:
  Processing metrics: Track successful article extraction and analysis rates
  Content quality: Assess relevance and usefulness of delivered intelligence
  Team engagement: Monitor Discord channel activity and report utilization
  System reliability: Track execution success rates and error patterns
  Use cases
  Competitive intelligence
  Market monitoring: Track competitor announcements, product launches, and strategic moves
  Industry trends: Identify emerging technologies, regulatory changes, and market shifts
  Partnership tracking: Monitor alliance formations, acquisitions, and strategic partnerships
  Leadership changes: Track executive movements and organizational restructuring
  Strategic planning support
  Market research: Continuous intelligence gathering for strategic decision-making
  Risk assessment: Early warning system for industry disruptions and regulatory changes
  Opportunity identification: Spot emerging markets, technologies, and business opportunities
  Brand monitoring: Track industry perception and competitive positioning
  Team collaboration enhancement
  Knowledge sharing: Centralized distribution of relevant industry intelligence
  Discussion facilitation: Provide common information baseline for strategic discussions
  Decision support: Deliver timely intelligence for business planning and strategy sessions
  Competitive awareness: Keep teams informed about competitive landscape changes
  Workflow limitations
  Language dependency: Currently optimized for French analysis output (easily customizable)
  Processing capacity: Limited to 3 articles per query (configurable based on API limits)
  Platform specificity: Configured for Discord delivery (adaptable to other platforms)
  Scheduling constraints: Fixed weekly schedule (customizable via cron expressions)
  Content access: Dependent on article accessibility and website compatibility with Firecrawl
  API dependencies: Requires active subscriptions and proper rate limit management for all integrated services

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name: Create Ideal Customer Profile from Websites Content to Google Doc
author_name: Simeon Penev
author_username: monkatagpt
categories: []
created_at: 2025-09-10T18:44:25.443Z
updated_at: 2025-09-10T18:44:25.443Z
url: https://n8n.io/workflows/8461
scraped_at: 2025-12-24 13:02:46
description:
  Who’s it for
  Growth, marketing, sales, and founder teams that want a decision-ready Ideal Customer Profile (ICP)—grounded in their own site content.

  How it works / What it does
  On form submission* collects *Website URL* and *Business Name** and redirects to Google Drive Folder after the final node.  
  Crawl and Scrape the Website Content* - crawls and scrape *20 pages** from the website. 
  ICP Creator* builds a *Markdown ICP** with:  
  A) Executive Summary
  B) One-Pager ICP
  C) Tiering & Lead Scoring
  D) Demand Gen & ABM Plays
  E) Evidence Log
  F) Section Confidence
  Facts vs. Inferences, confidence scores and tables. 
  Markdown to Google Doc* converts Markdown to Google Docs batchUpdate requests. Then this is used in *Update a document** for updating the empty doc. 
  Create a document* + *Update a document* generate *“ICP for &lt;Business Name&gt;”** in your Drive folder and apply formatting.

  How to set up
  1) Add credentials: Firecrawl (Authorization header), OpenAI (Chat), Google Docs OAuth2.  
  2) Replace placeholders: {{API_KEY}}, {{google_drive_folder_id}}, {{google_drive_folder_url}}.  
  3) Publish and open the Form URL to test.

  Requirements
  Firecrawl API key • OpenAI API key • Google account with access to the target Drive folder.

  Resources
  Google OAuth2 Credentials Setup - https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/  
  OpenAI API key - https://docs.n8n.io/integrations/builtin/credentials/openai/  
  Firecrawl API key - https://take.ms/lGcUp

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name: Create & Send GA4 Report with Insights via Email
author_name: Simeon Penev
author_username: monkatagpt
categories: []
created_at: 2025-09-10T19:44:36.583Z
updated_at: 2025-09-10T19:44:36.583Z
url: https://n8n.io/workflows/8463
scraped_at: 2025-12-24 13:02:44
description:
  Who’s it for
  Marketing, growth, and analytics teams who want a decision-ready GA4 summary—automatically calculated, clearly color-coded, and emailed as a polished HTML report.

  How it works / What it does
  Get Client (Form Trigger)* collects *GA4 Property ID (“Account ID”), **Key Event, date ranges (current & previous), Client Name, and recipient email.
  Overall Metrics This Period / Previous Period (GA4 Data API)** pull sessions, users, engagement, bounce rate, and more for each range.
  Form Submits This Period / Previous Period (GA4 Data API)** fetch key-event counts for conversion comparisons.
  Code** normalizes form dates for API requests.
  AI Agent* builds a *valid HTML email**:  
    Calculates % deltas, applies green for positive (#10B981) and red for negative (#EF4444) changes.
    Writes summary and recommendations.
    Produces the final HTML only.
  Send a message (Gmail)** sends the formatted HTML report to the specified email address with a contextual subject.

  How to set up
  1) Add credentials: Google Analytics OAuth2, OpenAI (Chat), Gmail OAuth2.  
  2) Ensure the form fields match your GA4 property and event names; “Account ID” = GA4 Property ID. 
  Property ID - https://take.ms/vO2MG
  Key event - https://take.ms/hxwQi
  3) Publish the form URL and run a test submission.

  Requirements
  GA4 property access (Viewer/Analyst) • OpenAI API key • Gmail account with send permission.

  Resources
  Google OAuth2 (GA4) – https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/  
  OpenAI credentials – https://docs.n8n.io/integrations/builtin/credentials/openai/  
  Gmail OAuth2 – https://docs.n8n.io/integrations/builtin/credentials/google/  
  GA4 Data API overview – https://developers.google.com/analytics/devguides/reporting/data/v1

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name: Find Perfect Jobs & Generate Tailored Cover Letters with Gemini & Google Jobs
author_name: Khairul Muhtadin
author_username: khmuhtadin
categories: []
created_at: 2025-09-11T17:14:46.028Z
updated_at: 2025-09-11T17:14:46.028Z
url: https://n8n.io/workflows/8487
scraped_at: 2025-12-24 13:02:43
description:
  Say goodbye to endless applications and hello to more time for perfecting your interview skills!

  The JOB Hunter Agent uses the power of Google Gemini and SerpAPI to find the perfect job match and generate a personalized cover letter. 

  Result example:

  💡 Why Use JOB Hunter Agent?
  Save Precious Time: Stop sifting through countless job boards; this agent does the heavy lifting, saving you hours every week.

  Land Your Dream Job Faster: Get laser-focused job matches and a custom-crafted cover letter that speaks directly to the hiring manager, increasing your chances of getting noticed.

  Never Miss an Opportunity: Your personal AI assistant works 24/7, ensuring you're always on top of the latest openings, even while you sleep!

  Stand Out from the Crowd: A perfectly tailored cover letter generated on the fly gives you an edge over generic applications, making you look like a superstar.

  ⚡ Perfect For
  Job Seekers: Anyone actively looking for a new role who wants to streamline their application process.
  Busy Professionals: Those with limited time who need an efficient way to find relevant opportunities.
  Career Changers: Individuals exploring new industries who need a helping hand in crafting compelling applications.

  🔧 How It Works
  ⏱ Trigger: You submit your CV and job preferences through a simple n8n form.
  📎 Process: Your CV is extracted from the PDF, and your preferences (location, job type, salary, email) are neatly organized.
  🤖 Smart Logic: The "Job Hunter Agent" uses Google Gemini and SerpAPI to find the single best job match for you and then drafts a bespoke cover letter based on your CV and the job description. It's like magic, but with more code!
  💌 Output: A beautifully formatted HTML email containing your profile summary, the best job match, your personalized cover letter, and handy application tips is sent straight to your inbox.
  🗂 Storage: All the initial data from your form submission is processed and used to craft your perfect job application package.

  🔐 Quick Setup
  Import JSON file to your n8n instances
  Add credentials: Google Gemini (Gemini 2.5 Pro model) and SerpAPI
  Customize: Adjust the system prompt in the "Job Hunter Agent" to fine-tune the cover letter tone or length, update the email footer, and expand job filters.
  Update: Ensure your Gmail OAuth2 credentials are valid for sending emails.
  Test: Run the workflow with your own CV and preferences to see the magic happen!

  🧩 You'll Need
  Active n8n instances
  Google Gemini API key (for Gemini 2.5 Pro)
  SerpAPI account for Google Jobs search results
  A Gmail account for sending personalized job match emails

  🛠️ Level Up Ideas
  Integrate with LinkedIn, Jobstreet, or Indeed APIs for a wider range of job sources.
  Allow the agent to find multiple job matches and present them as a curated list.
  Add an option to attach a parsed CV summary as a PDF to the email for quick reference.

  Made by: khaisa Studio  
  Tags: AI, Gemini, Google Jobs, Job Search, Automation, Cover Letter  
  Category: job hunter  
  Need custom work? Contact me

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