Browse 12,955 Workflows

By David Olusola

Inventory Low Stock Alerts E-commerce Automation This n8n template automatically monitors your Shopify inventory levels and sends alerts when products fall below your defined threshold. Prevent stockouts and maintain sales revenue with proactive inventory management. Good to know Default threshold is 10 units but easily customizable in the Code node Monitors all product variants individually Runs daily at 9 AM but schedule is fully adjustable Only sends alerts when action is needed (no empty notifications) How it works The schedule runs daily at 9 AM and connects to Shopify to download all products and variants. The workflow loops through every product and variant, checking inventory quantity for each item. It compares current stock against your threshold (default: 10 units) and identifies items below threshold. If any low stock items are found, it creates a comprehensive list and formats an alert message. The formatted report is sent to your Slack team so they can take immediate restocking action. Set up instructions Set up Shopify credentials in n8n: API Key, Password, Shop Subdomain, and Shared Secret The schedule trigger runs daily at 9 AM but feel free to adjust timing based on your business needs Modify "lowStockThreshold" variable in the Code node (default is set to 10 units) Set up Slack credentials and create a dedicated #inventory channel for alerts Ensure your Shopify products have inventory tracking enabled in product settings Test the workflow manually to verify it correctly identifies low-stock items What team sees: "🚨 Low Stock Alert! T-Shirt Blue (Medium): 3 left Coffee Mug (White): 7 left Phone Case (Black): 2 left" Business logic: Stock above threshold equals no alert. Stock at or below threshold equals alert sent. Stock at zero equals out of stock which is critical. Customising this workflow Add email alerts for critical out-of-stock items Set different thresholds for different product categories Include supplier contact information in alerts. An n8n automation workflow template by David Olusola.

By David Olusola

Shopify Order to Slack Notification E-commerce Automation Team Communication This n8n template instantly notifies your team in Slack whenever a new order is placed on your Shopify store. Perfect for small to medium businesses that want immediate awareness of sales activity and faster order processing. How it works Shopify sends webhook to n8n when new order is created Order data is extracted and formatted into professional message Rich Slack notification is posted to designated channel with customer details, order number, total amount, and direct admin link Team gets instant visibility into new sales activity Set up instructions Set up Shopify credentials in n8n: API Key, Password, Shop Subdomain, and Shared Secret Requirements Shopify store with admin access Slack workspace with channel permissions n8n Shopify and Slack credentials configured Customising this workflow Add email notifications alongside Slack alerts Include customer shipping information in notifications Filter alerts by order value thresholds or product types. An n8n automation workflow template by David Olusola.

By M Sayed

🚀 Telegram Google Trends Bot Workflow This workflow creates a powerful, multi-country Google Trends bot on Telegram. Users can request the top trending search queries for any country by simply sending its two-letter country code (e.g., EG, US, SA). The bot fetches the latest data, formats it into a clean report, and sends it back to the chat. ✨ Key Features 🌍 Dynamic Country Selection:** Get trends for any country on the fly by providing its geo code 📡 Automated RSS Fetching:** Pulls the latest data directly from Google's official daily trends RSS feed 📊 Clean, Formatted Reports:** Uses a custom code node to generate a beautiful, Markdown-formatted message that is easy to read on mobile 📈 Rich Information:** Each trend includes: 🔍 The search query title 📊 Approximate search traffic volume (e.g., "20K+ searches") 📰 Links to the top 2 related news articles, complete with their sources 🌟 Optimized for Arabic:** The report headers and labels are in Arabic, making it perfect for users in the MENA region, but can be easily adapted ⚙️ How It Works 💬 Telegram Trigger: A user sends a message containing a two-letter country code (e.g., EG) 🌐 HTTP Request: The workflow uses this code as the geo parameter in a request to the trends.google.com/trending/rss endpoint 📄 XML Parser: The native XML node converts the raw RSS feed data into a structured JSON format 💻 Code (Format Report): A JavaScript function processes the JSON data. It extracts the top 5 trends, formats the titles, traffic, and news items, and constructs the final Markdown text for the report 📤 Send to Telegram: The final, formatted report is sent back to the user who requested it 🛠️ Setup 🔐 Telegram Credentials: Add your Telegram API credentials to the Telegram Trigger and Send a text message nodes 🌐 (Optional) Customize Language: The text and labels in the Code node can be easily translated to any language you prefer. An n8n automation workflow template by M Sayed.

By M Sayed

Telegram Restaurant Bot Workflow This workflow creates a Telegram bot that fetches the top 5 rated restaurants for any specified area in Egypt using SerpAPI's Google Maps search. It's designed to provide quick, detailed, and richly formatted information directly in your chat. Key Features Simple Command Trigger**: Activate the search with a straightforward command (e.g., التحرير) Real-Time Restaurant Data**: Utilizes SerpAPI to pull live data, ratings, and details from Google Maps Top 5 Ranking**: Automatically sorts restaurants by their rating in descending order and presents the top five Richly Formatted Replies**: Generates a clean, user-friendly Markdown message with essential details: Rating ⭐ Phone Number ☎️ Website 🌐 Service Options (Dine-in ✅ | Takeaway ❌) A direct link to the location on a map 📍 Arabic Language Focused**: The workflow is initially configured to process requests and format replies in Arabic How It Works A user sends a place name like التحرير to the Telegram bot The Parse Area node extracts the location name from the message text The Geocode (Nominatim) node finds the geographic coordinates for the area (this can be adapted for more precise location searches) The Find Restaurants (SerpAPI) node uses this area to perform a Google Maps search The Format Reply node processes the search results. It sorts them by rating, takes the top 5, and builds a detailed Markdown-formatted string The Send to Telegram node delivers the final formatted message back to the user who made the request Setup Telegram**: Configure your credentials in the Telegram Trigger and Send to Telegram nodes SerpAPI**: Add your free or paid API key in the Find Restaurants (SerpAPI) HTTP Request node. An n8n automation workflow template by M Sayed.

By Jimleuk

Tired of being let down by the Google Drive Trigger? Rather not exhaust system resources by polling every minute? Then this workflow is for you! Google drive is a great storage option for automation due to its relative simplicity, cheap costs and readily-available integrations. Using Google Drive as a trigger is the next logically step but many n8n users quickly realise the built-in Google Drive trigger just isn't that reliable. Disaster! Typically, the workaround is to poll the Google Drive search API in short intervals but the trade off is wasted server resources during inactivity. The ideal solution is of course, push notifications but they seem quite complicated to implement... or are they? This template demonstrates that setting up Google Push Notifications for Google Drive File Changes actually isn't that hard! Using this approach, Google sends a POST request every time something in a drive changes which solves reliability of events and efficiency of resources. How it works We begin with registering a Notification channel (webhook) with the Google Drive API. 2 key pieces of information is (a) the webhook URL which notifications will be pushed to and (b) because we want to scope to a single location, the driveId. Good to know that you can register as many as you like using http calls but you have to manage them yourself, there's no google dashboard for notification channels! The registration data along with the startPageToken are saved in workflowStaticData - This is a convenient persistence which we can use to hold small bits of data between executions. Now, whenever files or folders are created or updated in our target Google Drive, Google will send push notifications to our webhook trigger in this template. Once triggered, we need still need to call Google Drive's Changes.list to get the actual change events which were detected. we can do this with the HTTP request node. The Changes API will also return the nextPageToken - a marker to establish where next to get the new batch of changes. It's important that we use this token the next time we request from the changes API and so, we'll update the workflowStaticData with this updated value. Unfortunately, the changes.list API isn't able to filter change events by folder or action and so be sure to do your own set of filtering steps to get the files you want. Finally with the valid change events, optionally fetch the file metadata which gives you more attributes to play with. For example, you may want to know if the change event was triggered by n8n, in which case you'll want to check "ModifiedByMe" value. How to use Start with Step 1 and fill in the "Set Variables" node and Click on the Manual Execute Trigger. This will create a single Google Drive Notification Channel for a specific drive. Activate the workflow to start recieving events from Google Drive. To test, perform an action eg. create a file, on the target drive. Watch the webhook calls come pouring in! Once you have the desired events, finish off this template to do something with the changed files. Requirements Google Drive Credentials. Note this workflow also works on Shared Drives. Optimising This Workflow With bulk actions, you'll notice that Google gradually starts to send increasingly large amounts of push notifications - sometimes numbering in the hundreds! For cloud plan users, this could easily exhaust execution limits if lots of changes are made in the same drive daily. One approach is to implement a throttling mechanism externally to batch events before sending them to n8n. This throttling mechanism is outside the scope of this template but quite easy to achieve with something like Supabase Edge Functions. An n8n automation workflow template by Jimleuk.

By Naveen Choudhary

Description This workflow automates the process of scraping Google Events data using SerpApi and organizing it in Google Sheets for analysis and tracking. Who's it for Event organizers** who need to monitor competitor events in their area Marketing teams** tracking local events for partnership opportunities Researchers** collecting event data for analysis Business owners** monitoring industry events and conferences How it works The workflow searches Google Events using SerpApi's Google Events engine, processes the returned data, and saves it to a Google Sheets spreadsheet. It handles pagination automatically to collect multiple events and flattens the nested API response into a structured format. What it does Configures search parameters - Sets the search query, total events to fetch, and pagination settings Fetches events via SerpApi - Makes paginated requests to Google Events API with proper rate limiting Processes and flattens data - Transforms nested event data into a flat structure with all relevant fields Saves to Google Sheets - Appends the processed events to a Google Sheets document for easy analysis Requirements SerpApi account** with API key (Get one here) Google Sheets API access** (OAuth2 credentials) Google Sheets document** - Make a copy of this template sheet How to set up Configure SerpApi credentials in the HTTP Request node Set up Google Sheets OAuth2 authentication Update the Google Sheets document ID in the final node to point to your copy Modify search parameters in the "Set Search Parameters" node: Change query to your desired search terms Adjust total_events (10 events per page) Set start position for pagination Run the workflow using the manual trigger How to customize the workflow Search terms**: Modify the query in the Set node (e.g., "conferences in New York", "music events Los Angeles") Event count**: Adjust total_events to fetch more or fewer events Output format**: Modify the Google Sheets column mapping to include/exclude specific fields Rate limiting**: Adjust the requestInterval in the HTTP Request node if needed Scheduling**: Replace the Manual Trigger with a Schedule Trigger for automated runs Output data includes Event title, description, and direct link Start date and timing information Venue and address details Ticket information and pricing Event location map links Event images Original search query for tracking Note: This workflow respects SerpApi rate limits with built-in delays between requests and processes up to 10 events per API call efficiently. An n8n automation workflow template by Naveen Choudhary.

By Lucas Walter

Reverse engineer short-form videos from Instagram and TikTok using Gemini AI Who's it for Content creators, AI video enthusiasts, and digital marketers who want to analyze successful short-form videos and understand their production techniques. Perfect for anyone looking to reverse-engineer viral content or create detailed prompts for AI video generation tools like Google Veo or Sora. How it works This automation takes any Instagram Reel or TikTok URL and performs a forensic analysis of the video content. The workflow downloads the video, converts it to base64, and uses Google's Gemini 2.5 Pro vision API to generate an extremely detailed "Generative Manifest" - a comprehensive prompt that could be used to recreate the video with AI tools. The analysis includes: Visual medium identification (film stock, camera sensor, lens characteristics) Color grading and lighting breakdown Shot-by-shot deconstruction with precise timing Camera movement and framing details Subject description and action choreography Environmental and atmospheric details How to set up Configure API credentials: Add your Apify API key for video scraping Set up Google Gemini API authentication Set up Slack integration (optional): Configure Slack OAuth for result sharing Update the channel ID where results should be posted Access the form: The workflow creates a web form where you can input video URLs Form accepts both Instagram Reel and TikTok URLs Requirements Apify account** with API access for video scraping Google Cloud account** with Gemini API enabled Slack workspace** (optional, for sharing results) Videos must be publicly accessible (no private accounts) How to customize the workflow Modify the analysis prompt:** Edit the "set_base_prompt" node to adjust the depth and focus of the video analysis Add different platforms:** Extend the switch node to handle other video platforms Integrate with other tools:** Replace Slack with email, Discord, or other notification systems. An n8n automation workflow template by Lucas Walter.

By Kirill Khatkevich

This workflow is a comprehensive solution for digital marketers, performance agencies, and e-commerce brands looking to scale their creative testing process on Meta Ads efficiently. It eliminates the tedious manual work of uploading assets, creating campaigns, and setting up ads one by one. Use Case Manually launching weekly creative tests is time-consuming and prone to errors. This workflow solves that problem by creating a fully automated pipeline: from a creative asset in a folder to a complete, ready-to-launch (but paused) ad structure in your Meta Ads account. It's perfect for teams that want to: Save hours of manual work every week. Systematically test a high volume of creatives. Maintain a structured and consistent campaign naming convention. Keep a detailed log of all created assets for data-driven performance analysis. How it Works The workflow is structured into four logical blocks: 1. Configuration & Scheduling: The workflow runs on a weekly schedule. A central "Configuration" Set node at the beginning holds all key variables (Ad Account ID, Page ID, Pixel ID, making it incredibly easy to adapt the template for different projects. 2. Creative Ingestion & Processing: It scans a specific Google Drive folder for new image and video files. Using an IF node, it branches the logic based on the file type. Each file is uploaded to the Meta Ads library, and a corresponding Ad Creative is built with a pre-defined destination URL. 3. Campaign & Ad Set Assembly: The workflow creates a single new Campaign with an OUTCOME_SALES objective. It then creates a single Ad Set optimized for OFFSITE_CONVERSIONS (e.g., "Add to Cart"), using the Pixel ID from the configuration. A Merge node intelligently combines the single Ad Set ID with every creative processed in the previous block, preparing the data for the final step. 4. Ad Creation & Data Logging: The workflow iterates through the prepared data, creating a unique Ad for each creative. Upon the successful creation of each ad, a new row is appended to a Google Sheet, logging all relevant IDs (CampaignID, AdSetID, AdID, CreativeID) and metadata for a complete audit trail. Setup Instructions To use this template, you need to configure a few key nodes. 1. Credentials: Connect your Meta Ads account. Connect your Google account (for both Drive and Sheets). 2. The ⚙️ Configuration Node (Set node): This is the most important step. Open the first Set node and fill in your specific values: adAccountId: Your Meta Ad Account ID. pageId: The ID of the Facebook Page you're advertising for. pixelId: Your Meta Pixel ID for conversion tracking. 3. Google Sheets Node (Save Full Report to Sheet): Select your spreadsheet and the specific sheet where you want to save the reports. Make sure your sheet has columns with the following headers: CampaignID, AdSetID, AdID, CreativeID, FileName, MimeType, Timestamp. 4. Check URLs and IDs in HTTP Request Nodes: The template is configured to use the variables from the ⚙️ Configuration node. Double-check that the URLs in the Create Campaign, Create Ad Set, and Create ... Creative nodes correctly reference these variables (e.g., .../act_{{ $('⚙️ Configuration Meta Ads').item.json.adAccountId }}/campaigns). Verify the link in the Create Video Creative and Create Image Creative nodes points to your desired landing page. 5. Activate the Workflow: Set your desired schedule in the Schedule Trigger node. Save and activate the workflow. Further Ideas & Customization This workflow is a powerful foundation. You can easily extend it to: Create a second workflow** that runs a week later, reads the Google Sheet, and pulls performance data for all the ads created. A/B test ad copy** by adding different text variations from a spreadsheet. Add a Slack or Email notification** at the end to confirm that the weekly campaign launch was successful. An n8n automation workflow template by Kirill Khatkevich.

By Interlock GTM

Summary Turns a plain name + email into a fully-enriched HubSpot contact by matching the person in Apollo, pulling their latest LinkedIn activity, summarising the findings with GPT-4o, and upserting the clean data into HubSpot Key use-cases SDRs enriching inbound demo requests before routing RevOps teams keeping executive records fresh Marketers building highly-segmented email audiences Inputs |Field |Type| Example| |-|-|-| name |string| “Jane Doe” email| string |“jane@acme.com” Required credentials |Service |Node |Notes| |-|-|-| Apollo.io API key | HTTP Request – “Enrich with Apollo” |Set in header x-api-key RapidAPI key| (Fresh-LinkedIn-Profile-Data) “Get recent posts”| Header x-rapidapi-key OpenAI 3 LangChain nodes| Supply an API key| default model gpt-4o-mini HubSpot OAuth2| “Enrich in HubSpot”| Add/create any custom contact properties referenced High-level flow Trigger – Runs when another workflow passes name & email. Clean – JS Code node normalises & deduplicates emails. Apollo match – Queries /people/match; skips if no person. LinkedIn fetch – Grabs up to 3 original posts from last 30 days. AI summary chain OpenAI → Structured/Auto-fixing parsers Produces a strict JSON block with job title, location, summaries, etc. HubSpot upsert – Maps every key (plus five custom properties) into the contact record. Sticky-notes annotate the canvas; error-prone bits have retry logic. An n8n automation workflow template by Interlock GTM.

By Gain FLow AI

Overview This workflow finds potential customers, gathers detailed info about them and their companies, and then uses AI to research them in detail and write personalized messages for LinkedIn and a series of four cold emails. All this data is organized in Google Sheets for easy tracking and use. Use Case This tool is perfect for salespeople, marketers, and business owners. It saves you a lot of time by automating lead finding, research, and email writing. This helps you send many personalized messages quickly, leading to more replies and better sales. How It Works You start by telling the workflow who you want to reach (e.g., "Marketing Agencies," "New York," "COOs"). The workflow then uses scrapers (from Apify) to find these people on Apollo.io and LinkedIn, collecting their contact details and company information. Next, an AI analyzes all this data. It creates a detailed report on each company, including what they do, their strengths, recent news, and possible challenges they face. This report helps the AI then write a friendly LinkedIn message opener and a 4-part hyper-personalised cold email series specifically for each person. These emails cover problems you can solve, success stories, and a clear next step. Finally, all the prospect details and generated messages are saved neatly in your Google Sheets. How to Set It Up Scrapers: Go to Apify, get your API Token from "API & Integrations," and put it into the scraper nodes in the workflow. Google Sheets: Copy the provided Google Sheet template. Then, add your email addresses to the "Assign Sender Email" node so the workflow can choose who sends the emails. AI (OpenAI): Add your OpenAI API Key. In the "About You" node, fill in information about your company and your skills so the AI can write super relevant messages. Test: Run the workflow using the "Enter Target Audience" form. You can set how often it runs. If you need help, check the detailed guide or email info.gainflow@gmail.com. An n8n automation workflow template by Gain FLow AI.

By Harsh Maniya

Get Daily AI News Briefings in Telegram with Gemini & n8n Tired of sifting through endless articles to stay updated on Artificial Intelligence? This workflow transforms you into an intelligence analyst by automatically fetching the latest AI news, using Google's Gemini to create a professional summary, and delivering a polished briefing directly to your Telegram chat. Stop chasing news and let the insights come to you\! 🚀 🚀 What this workflow does 📰 Monitors an RSS Feed: Automatically triggers whenever a new article is published on the specified AI news feed (artificialintelligence-news.com). 🧠 Scrapes Article Content: Uses Jina AI to read and extract the full, clean text from the article link. 🤖 Generates an AI Report: Leverages the power of the Google Gemini 2.5 Flash model to analyze the article and generate a structured, insightful intelligence briefing based on a specialized prompt. 📨 Delivers to Telegram: Sends the final, perfectly formatted markdown report as a message to your chosen Telegram chat. 🛠️ What you'll need to get started An n8n instance (cloud or self-hosted). Jina AI Credentials: You will need an API key from Jina AI. You can get one from the Jina AI website. Google Gemini Credentials: You'll need an API key for the Gemini model. You can generate one for free from Google AI Studio. Telegram Bot Credentials: You will need a Telegram Bot Token and your destination Chat ID. You can learn how to get these from the n8n Telegram documentation. ⚙️ How to use this workflow Copy the workflow: Click "Use template" to import this workflow into your n8n canvas. Configure Jina AI Node: Select the "Read News from AI News Website" node. In the "Credentials" section, add your Jina AI API key. Configure Gemini Node: Select the "Gemini 2.5 Flash" node on the canvas. In the "Credentials" section, add your Google Gemini API key. Configure Telegram Node: Select the "Send a text message" node. Add your Telegram API credentials. In the "Chat ID" field, enter the specific chat, group, or channel ID where you want to receive the news briefings. Activate the workflow: Hit the "Activate" toggle in the top right corner. Your automated AI analyst is now live\! ✨ Bonus: Expand your intelligence briefing The prompt in the "Generate Report" node is designed to synthesize information from multiple sources. You can easily expand this workflow to create even more comprehensive reports: Add another RSS Feed: Copy the "AI-News Feed" node and change the Feed URL to another source. Connect the Nodes: Drag the output of the new RSS feed node to the "Read News from AI News Website" node. That's it\! The workflow will now process articles from both feeds and the Gemini node will automatically identify common themes and unique stories as instructed in the prompt. An n8n automation workflow template by Harsh Maniya.

By Jayraj Pamnani

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Workflow Description: Startup Idea Finder (n8n) What This Workflow Does: This n8n workflow helps entrepreneurs discover startup ideas by automatically scraping top posts from multiple subreddits that often discuss unmet needs or problems (e.g., posts containing phrases like “Why is there no tool that”, “I wish there was an app for”, “someone should make”, etc.). The workflow extracts key information from these posts and sends it to Google’s Gemini 1.5 Flash-8b AI model, which analyzes the problem and suggests possible solutions or startup ideas. All relevant data and AI-generated insights are then saved to a Google Sheet for easy review and tracking. How It Works (Step-by-Step) 1. Manual Trigger: The workflow starts with a manual trigger. 2. Reddit Scraping: It queries multiple subreddits for top posts matching specific keywords that indicate a problem or unmet need. 3. Merge & Edit Fields: The results are merged and filtered to keep only the necessary fields: title, selftext, ups, created, and url. 4. AI Analysis: The filtered post data is sent to the Gemini 1.5 Flash-8b model with a prompt asking for: An explanation of the core problem, Whether existing solutions exist, A new startup idea if not, The target user, An implementation overview. 5. Google Sheets Logging: Both the original post data and the AI’s output are appended as a new row in a Google Sheet for future reference. APIs & Credentials Needed To use this workflow, you must set up the following credentials in your n8n instance: Reddit API: For scraping subreddit posts. Google Gemini (PaLM) API: For AI-powered analysis and idea generation. Google Sheets API: For saving results to your spreadsheet. Google Sheets Setup Before running the workflow, create a Google Sheet with the following columns (in this order): title, selftext, ups, created, url, output* The workflow will automatically append new rows with the scraped post data and the AI-generated output. Summary This workflow is a powerful tool for anyone looking to systematically discover and analyze real-world problems discussed online, and to generate actionable startup ideas using AI. Just set up your credentials, prepare your Google Sheet, and you’re ready to start finding your next big idea!. An n8n automation workflow template by Jayraj Pamnani.

By KlickTipp

Community Node Disclaimer: This workflow uses KlickTipp community nodes. Introduction This workflow automates Stripe checkout confirmations by capturing transaction data and syncing it into KlickTipp. Upon successful checkout, the contact's data is enriched with purchase details and tagged to trigger a personalized confirmation campaign in KlickTipp. Perfect for digital product sellers, course creators, and service providers seeking an end-to-end automated sales confirmation process. Benefits Instant confirmation emails**: Automatically notify customers upon successful checkout—no manual processing needed. Structured contact data**: Order data (invoice link, amount, transaction ID, products) is stored in KlickTipp custom fields. Smart campaign triggering**: Assign dynamic tags to start automated confirmation or fulfillment sequences. Seamless digital delivery**: Ideal for pairing with tools like Memberspot or Mentortools to unlock digital products post-checkout. Key Features Stripe Webhook Trigger**: Triggers on Triggers on Checkout Session.completed events events. Captures checkout data including product names, order number, and total amount. KlickTipp Contact Sync**: Adds or updates contacts in KlickTipp. Maps Stripe data into custom fields Assigns a tag such as Stripe Checkout to initiate a confirmation campaign. Router Logic (optional)**: Branches logic based on product ID or Stripe payment link. Enables product-specific campaigns or follow-ups. Setup Instructions KlickTipp Preparation Create the following custom fields in your KlickTipp account: | Field Name | Field Type | |--------------------------|------------------| | Stripe \| Products | Text | | Stripe \| Total | Decimal Number | | Stripe \| Payment ID | Text | | Stripe \| Receipt URL | URL | Define a tag for each product or confirmation flow, e.g., Order: Course XYZ. Credential Configuration Connect your Stripe account using an API key from the Stripe Dashboard. Authenticate your KlickTipp connection with username/password credentials (API access required). Field Mapping and Workflow Alignment Map Stripe output fields to the KlickTipp custom fields. Assign the tag to trigger your post-purchase campaign. Ensure that required data like email and opt-in info are present for the contact to be valid. Testing and Deployment Click on Inactive to activate the scenario. Perform a test payment using a Stripe product link. Verify in KlickTipp: The contact appears with email and opt-in status. Custom fields for Stripe are filled. The campaign tag is correctly applied and confirmation email is sent. ⚠️ Note: Use real or test-mode API keys in Stripe depending on your testing environment. Stripe events may take a few seconds to propagate. Campaign Expansion Ideas Launch targeted upsell flows based on the product tag. Use confirmation placeholders like: [[Stripe | Products]] [[Stripe | Total]] [[Stripe | Payment ID]] [[Stripe | Products]] Route customers to different product access portals (e.g., Memberspot, Mentortools). Send follow-up content over multiple days using KlickTipp sequences. Customization You can extend the scenario using a switch node to: Assign different tags per used payment link Branch into upsell or membership activation flows Chain additional automations like CRM entry, Slack notification, or invoice creation. Resources: Use KlickTipp Community Node in n8n Automate Workflows: KlickTipp Integration in n8n. An n8n automation workflow template by KlickTipp.

By Akash Kankariya

Easily ensure your n8n workflows are never lost! This template automates the process of backing up all your n8n workflows to a GitHub repository every 6 hours. Set it up once and enjoy worry-free workflow versioning and disaster recovery! 🔄✨ 📝 What This Workflow Does Schedules backups**: Triggers the workflow automatically every 6 hours—no manual steps needed. ⏰ Exports all current workflows**: Collects a JSON snapshot of every workflow in your n8n instance. 📦 Pushes backups to GitHub**: Commits each backup file to your specified GitHub repository with a time-stamped commit message for easy tracking. 🗂️🚀 Smart file handling**: Checks if a backup file already exists and creates or updates as needed, keeping your repository clean and organized. 🤖 ⚡️ Why Use This Template? Automate your workflow backups – never miss a backup again!** Seamless integration with GitHub** for team collaboration, change management, and rollback. Simple, reliable, and fully customizable** to match your backup intervals and repository setup. Peace of mind** that your critical automation assets are always protected. 📦 How the Template Works: Step-by-step Overview Scheduled Trigger: Fires every 6 hours to launch the backup sequence. Get All Workflows: Uses the HTTP Request node to fetch all n8n workflows from your instance as JSON data. Move Binary Data: Converts the JSON into a binary format, ready for GitHub storage. Edit/Create Backup File: Attempts to edit (update) an existing backup file in your GitHub repo. If the file does not exist, the workflow will create a new one. Conditional Logic: Checks after each run whether the backup file exists and ensures previous versions can be recovered or merged as needed. Repeat: The process auto-loops every 6 hours—no further intervention required! 🔧 How To Set Up On Your Server Import the template into your n8n instance. Configure your GitHub credentials in the workflow nodes. Update the GitHub repository details (owner, repository, and filePath) to use your own repo and desired file path. Set your n8n API key and update the API endpoint URL to match your deployment. Save and activate the workflow—now your backups are on autopilot! 👨‍💻 Example Use Cases Version control for rapidly changing automation environments. Safeguarding business-critical automation assets. Easy rollback in case of workflow corruption or accidental deletion. Team collaboration through GitHub's pull request and review process. 🌟 Pro Tips Adjust the backup interval in the Schedule Trigger node if you require more/less frequent backups. Use GitHub branch protection rules for enhanced workflow security. Pair this backup workflow with notifications (e.g., Slack or Email) for backup alerts. Protect your n8n workflows with automated, reliable, and versioned GitHub backups—set it and forget it! 🚦🔒. An n8n automation workflow template by Akash Kankariya.

By Grace Gbadamosi

How it works This workflow creates a complete MCPserver that provides comprehensive API integration monitoring and testing capabilities. The server exposes five specialized tools through a single MCP endpoint: API health analysis, webhook reliability testing, rate limit monitoring, authentication verification, and client report generation. External applications can connect to this MCP server to access all monitoring tools. Who is this for This template is designed for DevOps engineers, API developers, integration specialists, and technical teams responsible for maintaining API reliability and performance. It's particularly valuable for organizations managing multiple API integrations, SaaS providers monitoring client integrations, and development teams implementing API monitoring strategies. Requirements MCP Client**: Any MCP-compatible application (Claude Desktop, custom MCP client, or other AI tools) Network Access**: Outbound HTTP/HTTPS access to test API endpoints and webhooks Authentication**: Bearer token authentication for securing the MCP server endpoint Target APIs**: The APIs and webhooks you want to monitor (no special configuration required on target systems) How to set up Configure MCP Server Authentication - Update the MCP Server - API Monitor Entry node with your desired authentication method and generate a secure bearer token for accessing your MCP server Deploy the Workflow - Save and activate the workflow in your n8n instance, noting the MCP server endpoint URL that will be generated for external client connections Connect MCP Client - Configure your MCP client (such as Claude Desktop) to connect to the MCP server endpoint using the authentication token you configured Test Monitoring Tools - Use your MCP client to call the available tools: Analyze Api Health, Validate Webhook Reliability, Monitor API Limits, Verify Authentication, and Generate Client Report with your API endpoints and credentials. An n8n automation workflow template by Grace Gbadamosi.

By Kevin

Monitor Postgres Data Freshness and Email Alert If Stale This template monitors a set of tables inside a Postgres database to ensure they're getting updated. If the table hasn't been updated in 3 days (configurable), an email alert is sent containing the tables that are stale. Requirements You must have a Postgres database containing one or more tables that you'd like to monitor. Each table to monitor must have a date or timestamp column that tracks when data was pushed. For example, this might be: A timestamp column if your table holds event/timeseries data A last_updated column if your rows are expected to be modified Usage Use this template Add your Postgres and email credentials Adjust the Produce tables + date columns node to produce pairs of [table, date_column] that should be monitored for freshness 💁‍♂️ Note that a timestamp column also works (Optional) Adjust the Remove fresh tables node for your desired staleness window (default is 3 days, but you can adjust as you please) (Optional) Customize the Send alerts node to call whichever alerting workflow you please (I recommend my alerting workflow for easiest plug-and-play) How it works This template works by: Pulling the most recent row for each table Calculating how out-of-date each table is, in days Dropping fresh tables that have been updated within the past 3 days Sending an email alert with the stale tables that haven't been updated within the past 3 days. An n8n automation workflow template by Kevin.

By Gegenfeld

This workflow creates an intelligent chatbot that uses your Supabase database as a knowledge base. The AI agent can automatically query your Supabase tables to provide accurate, contextual responses based on your stored data. Who's it for This template is perfect for: Developers building applications with Supabase backend Teams using Supabase for real-time data management Organizations wanting PostgreSQL-powered AI chatbots Startups leveraging Supabase's Firebase alternative ecosystem Teams needing scalable, real-time database integration with AI How it works The workflow combines OpenAI's language model with Supabase's PostgreSQL database capabilities to create a smart chatbot. When users ask questions, the AI agent automatically determines which Supabase records are relevant and uses that data to generate helpful responses. The system maintains conversation history for natural, contextual interactions. How to set up Add your credentials: Configure your Supabase project URL and API key in the Supabase Database node Set up your OpenAI API credentials in the OpenAI Chat Model node Configure your Supabase connection: Click the Supabase Database node Select your Supabase table containing your knowledge base data The AI will automatically determine relevant records - no need to specify individual record IDs Customize the AI model: Open the OpenAI Chat Model node Choose your preferred model (GPT-4, GPT-3.5-turbo, etc.) Adjust token limits if needed Test the chatbot: Click the Chat button to start a conversation Ask questions related to your Supabase data Optional - Make it public: Enable public access in the Chat Trigger node Embed the provided code into your website Requirements n8n instance (cloud or self-hosted) Supabase project with tables containing your knowledge base data OpenAI API key with available credits Supabase API key with appropriate read permissions How to customize the workflow Change the AI Provider: You can replace the OpenAI Chat Model with other providers like Anthropic Claude, Google Gemini, or local models by swapping the language model node. Adjust Context Window: Modify the "Remember Chat History" node to increase or decrease how many previous messages the AI remembers (default is 10 interactions). Update System Instructions: Edit the Smart AI Agent's system message to change how the assistant behaves or add specific instructions for your use case. Connect Multiple Tables: Add additional Supabase Database nodes to give the AI access to multiple tables within your Supabase project. Add Real-time Features: Leverage Supabase's real-time capabilities by integrating webhooks or subscriptions to keep your chatbot data current. Add More Tools: Extend the AI agent with additional tools like web search, email sending, or integration with other services. Workflow Structure Chat Trigger → Smart AI Agent ← OpenAI Chat Model ↓ Supabase Database ↑ Remember Chat History The Smart AI Agent orchestrates the conversation, deciding when to query Supabase and how to use the retrieved data in responses. The memory buffer ensures natural conversation flow by maintaining context across interactions. An n8n automation workflow template by Gegenfeld.

By Gegenfeld

This workflow creates an intelligent chatbot that uses your Baserow database as a knowledge base. The AI agent can automatically query your Baserow tables to provide accurate, contextual responses based on your stored data. Who's it for This template is perfect for: Support teams using Baserow for knowledge management Small businesses managing customer data in Baserow Teams looking for an open-source alternative to Airtable-based chatbots Organizations that want to make their Baserow data conversationally accessible Self-hosted solution enthusiasts who prefer controlling their data How it works The workflow combines OpenAI's language model with Baserow's open-source database capabilities to create a smart chatbot. When users ask questions, the AI agent automatically determines which Baserow records are relevant and uses that data to generate helpful responses. The system maintains conversation history for natural, contextual interactions. How to set up Add your credentials: Configure your Baserow API credentials in the Baserow Database node Set up your OpenAI API credentials in the OpenAI Chat Model node Configure your Baserow connection: Click the Baserow Database node Select your Baserow table containing your knowledge base data The AI will automatically determine relevant records - no need to specify individual record IDs Customize the AI model: Open the OpenAI Chat Model node Choose your preferred model (GPT-4, GPT-3.5-turbo, etc.) Adjust token limits if needed Test the chatbot: Click the Chat button to start a conversation Ask questions related to your Baserow data Optional - Make it public: Enable public access in the Chat Trigger node Embed the provided code into your website Requirements n8n instance (cloud or self-hosted) Baserow instance (self-hosted or cloud) with data you want to query OpenAI API key with available credits Baserow API token with appropriate permissions How to customize the workflow Change the AI Provider: You can replace the OpenAI Chat Model with other providers like Anthropic Claude, Google Gemini, or local models by swapping the language model node. Adjust Context Window: Modify the "Remember Chat History" node to increase or decrease how many previous messages the AI remembers (default is 10 interactions). Update System Instructions: Edit the Smart AI Agent's system message to change how the assistant behaves or add specific instructions for your use case. Connect Multiple Tables: Add additional Baserow Database nodes to give the AI access to multiple tables within your Baserow workspace. Add More Tools: Extend the AI agent with additional tools like web search, email sending, or integration with other services. Workflow Structure Chat Trigger → Smart AI Agent ← OpenAI Chat Model ↓ Baserow Database ↑ Remember Chat History The Smart AI Agent orchestrates the conversation, deciding when to query Baserow and how to use the retrieved data in responses. The memory buffer ensures natural conversation flow by maintaining context across interactions. An n8n automation workflow template by Gegenfeld.

By Patrick Jennings

Sleeper NFL Players Sync This template uses the Sleeper API to fetch the complete list of NFL players and stores them in an Airtable base. It’s built to run daily and ensures you have the most up-to-date player list for fantasy football workflows What it Does Maintain a current player list for fantasy league automations for Sleeper app users / NFL fantasy football managers Pull Sleeper player IDs once daily instead of every request Build smarter workflows using Airtable as your structured dataset Create a subworkflow in n8n for even more Sleeper app workflows Setup Instructions Install n8n (Cloud or self-hosted) Import the template JSON Create Airtable Credentials: Generate an API key at airtable.com/account Connect your base and table (you’ll be prompted to do this in n8n) If you would like to customize how you store data please feel free to use what works best for you Match your fields with the data you're storing: player_id (text/number) full_name position team etc. Activate your workflow Remember, you can customize how you trigger this workflow and where you store the data if you choose to do so. Notes Sleeper's player API returns 6,000+ entries, including inactive players, retired players, etc. You can filter this down as needed via position, status, or metadata. Airtable record limit on the free tier is 1,000 rows per base — consider upgrading or filtering further. Be careful of rate limits: both Sleeper and Airtable have them (but this workflow stays well within safe boundaries). The Airtable node can be replaced with other data storage nodes (Google Sheets, Excel, etc) if you prefer Difficulty Rating & Comment (from the author) 2 out of 10 if this ain't you're first rodeo, respectfully. If you use Sleeper for fantasy football, lets go win some games!. An n8n automation workflow template by Patrick Jennings.

By Erfan Mostafiz

This n8n workflow scrapes LinkedIn data for your leads, feeds it into a GPT-4 AI agent, and generates laser-targeted, personalized icebreakers you can drop into your cold email campaigns. It automates the personalization process at scale — saving you hours of research while sounding human and thoughtful. Step-by-Step Setup (Beginner Friendly) Step 1: Prepare Your Leads (Input Sheet) Get your lead list based on your industry and niche from Apollo (free) Copy the entire link Go to Apify and use this Apollo Scraper to scrape the leads. Download the result as CSV and upload the CSV to Google Sheets Add a column at the end of the Sheet. Name this column as "status". Mark the entire column (every row) as "un-enriched" (this is important) Connect your Google Sheets account to n8n The workflow will pull leads from this sheet where status = un-enriched Step 2: Set Your Credentials Google Sheets: Connect your account to n8n using OAuth2 OpenAI: Add your OpenAI API credentials Apify: Visit Apify Console to get your Apify API key Use this Apify LinkedIn Profile Scraper and copy the actorID --> get it from the URL : https://console.apify.com/:actorID/input Paste both Apify API Key and ActorID into the “Set Apify Tokens” node Step 3: Customize the AI Agent In the node “Generate Personalized Icebreaker”, adjust the system prompt. Update it with your own niche, offer, tone, and insights Keep the JSON output format exactly as shown. The rest of the workflow depends on it Step 4: Run the Workflow Click "Execute Workflow" The system will: -- Pull all unenriched leads -- Filter out entries without email -- Scrape LinkedIn profiles using Apify -- Use GPT-4 to write a short, personalized icebreaker -- Save the result to a separate “Enriched” sheet -- Mark those leads as “enriched” in your original sheet How It Works Behind the Scenes Manual Trigger starts the workflow Get Raw Leads from a Google Sheet (filter = un-enriched) Filter for Valid Emails (hasEmail?) Loop Over Leads Set Apify API credentials Call Apify’s LinkedIn Scraper using each lead's LinkedIn URL Aggregate the scraped data Simplify fields for AI prompt Call OpenAI GPT-4.1 Mini with structured, data-rich prompt to generate icebreaker Append results to Enriched Sheet Update original list’s status to prevent reprocessing Loop continues to the next lead Best Practices for Successful Use Clean your leads: Remove unnecessary columns from your Google Sheet raw lead list Throttle large batches: The Apify actor and OpenAI calls may hit rate limits. Process in small batches. Customize prompt deeply: The better your AI instructions, the more believable your icebreakers will sound. Use shortened company names and local slang: The system prompt already does this — keep it. Avoid fluff: Keep the tone Spartan, specific, and real. Ideal Use Cases Cold email campaigns for SMB SaaS, agency offers, B2B sales Personalized intros for LinkedIn DMs Data enrichment for lead gen automation Integrating with tools like Instantly.ai, Smartlead, or Mailshake Demo Link Watch the full walkthrough and see it in action: 👉 Watch me build this LIVE on YouTube. An n8n automation workflow template by Erfan Mostafiz.

By Grace Gbadamosi

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow automatically synchronizes contact data from multiple CRM systems (HubSpot, Pipedrive, and Salesforce) into a unified Google Sheets database. The system runs on a daily schedule or can be triggered manually via webhook. It uses AI-powered data processing to intelligently deduplicate records, calculate data quality scores, and merge similar contacts. The workflow generates comprehensive quality reports and sends notifications via Slack, ensuring your master database stays clean and up-to-date. Who is this for This template is designed for revenue operations teams, data managers, and business analysts who need to consolidate customer data from multiple CRM platforms. It's particularly valuable for organizations using multiple sales tools simultaneously or during CRM migration projects. The workflow helps maintain data integrity while providing insights into data quality across different systems. Requirements Google Sheets Account**: For storing master database and quality reports CRM Platform Access**: API credentials for HubSpot, Pipedrive, and/or Salesforce OpenAI API Key**: For AI-powered data processing and deduplication MCP Server**: Github:marlonluo2018/pandas-mcp-server (optional - can be replaced with Code node) Slack Webhook**: For receiving sync completion and error notifications How to set up Configure Environment Variables - Set up secure credential storage for all API keys: HUBSPOT_API_KEY, PIPEDRIVE_API_KEY, SALESFORCE_ACCESS_TOKEN, OPENAI_API_KEY, and SLACK_WEBHOOK_URL Create Google Sheets Structure - Create a master Google Sheet with two tabs: "Master_CRM_Data" for the unified contact database and "Quality_Reports" for tracking sync statistics and data quality metrics Set Up MCP Server - Install and configure "marlonluo2018/pandas-mcp-server" Update Configuration Center - Modify all placeholder values in the Configuration Center node with your actual Google Sheet IDs, quality thresholds, deduplication keys, and batch processing settings. An n8n automation workflow template by Grace Gbadamosi.

By Stephan Koning

Master Outbound WhatsApp: Baserow & WasenderAPI This workflow integrates with your Baserow 'Messages' table, triggering on 'Sent' status. Messages fire via WasenderAPI, rigorously logged as 'Outbound' in Baserow. Gain total control; drive results. How it works Monitors Baserow 'Messages' table for 'Sent' status. Sends messages via WasenderAPI. Logs outbound details in Baserow. Who's it for For teams dominating outbound WhatsApp and centralizing Baserow logging. Demand communication efficiency? This is your solution. Setup Steps Rapid implementation. Action plan: Activate all critical workflow nodes. Copy Sent_whatsapp webhook URL. Configure Baserow automation (on 'Sent' status) to trigger webhook. Ensure Baserow 'Messages' table includes 'Status' ('Sent' option), linked 'WhatsApp Number', and 'Message Content' fields. (Optional: Baserow Message Form for input). Embed WasenderAPI and Baserow API tokens in n8n Credentials. Security is non-negotiable. Requirements Active n8n instance (self-hosted/cloud). WasenderAPI.com trial/subscription. Baserow account with pre-configured 'Contacts' (link) and 'Messages' (link) tables. An n8n automation workflow template by Stephan Koning.

By Stephan Koning

WhatsApp Micro-CRM with Baserow & WasenderAPI Struggling to manage WhatsApp client communications? This n8n workflow isn't just automation; it's your centralized CRM solution for small businesses and freelancers. How it works Capture Every Message:** Integrates WhatsApp messages directly via WasenderAPI. Effortless Contact Management:** Automates contact data standardization and intelligently manages records (creating new or updating existing profiles). Rich Client Profiles:** Retrieves profile pictures and decrypts image media, giving you full context. Unified Data Hub:** Centralizes all conversations and media in Baserow, no more scattered interactions. Setup Steps Setup is incredibly fast; you can deploy this in under 15 minutes. Here's what you'll do: Link WasenderAPI:** Connect your WasenderAPI webhooks directly to n8n. Set up Baserow:** Duplicate our pre-built 'Contacts' (link) and 'Messages' (link) Baserow table templates. Secure Your Data:** Input your API credentials (WasenderAPI and Baserow) directly into n8n. Every single step is fully detailed in the workflow's sticky notes – we've made it foolproof. Requirements What do you need to get started? An active n8n instance (self-hosted or cloud). A WasenderAPI.com subscription or trial. A Baserow account. Note: Keep the flow layout as is! This will ensure that the flow is running in the correct order. An n8n automation workflow template by Stephan Koning.

By Chad McGreanor

Overview This workflow automates LinkedIn posts using OpenAI. The prompts are stored in the workflow and can be customized as needed to fit your needs. The workflow uses a combination of a Schedule Trigger, some code that determines what day of the week it is (no posting Friday - Sunday), a prompts node to set your OpenAI prompts, a random selection of a prompt so that you are not generating content that looks repetitive. We send that all to OpenAI API, select a random time, have the final LinkedIn post sent to your Telegram for approval, once approved wait for the correct time slot, and then Post to your LinkedIn account using the LinkedIn node. How it works: Run or schedule the workflow in n8n The automation can be triggered manually or on a custom schedule (excluding weekends if needed). You should customize the prompts in the Prompt Node to suit your needs. A random LinkedIn post prompt is selected Pre-written prompts are rotated to keep content fresh and non-repetitive. OpenAI generates the LinkedIn post The prompt is sent to OpenAI via API, and the result is returned in clean, ready-to-use form. You receive the draft via Telegram. The post is sent to Telegram for quick approval or review. Post is scheduled or published via the LinkedIn Connector Once approved, the workflow delays until the target time, then sends the content to LinkedIn. What's needed: An OpenAPI API key, LinkedIn Account, and a Telegram Account. For Telegram you will need to configure the Bot service. Step-by-Step: Telegram Approval for Your Workflow A. Set Up a Telegram Bot Open Telegram and search for “@BotFather”. Start a chat and type /newbot to create a bot. Give your bot a name and a unique username (e.g., YourApprovalBot). Copy the API token that BotFather gives you. B. Add Your Bot to a Private Chat (with You) Find your bot in Telegram, click “Start” to activate it. Send a test message (like “hello”) so the chat is created. C. Get Your User ID Search for “userinfobot” or use sites like userinfobot in Telegram. Type /start and it will reply with your Telegram user ID. OpenAI powers the LinkedIn post creation Add Your OpenAI API Key: Log in to your OpenAI Platform account: https://platform.openai.com/. Go to API keys and create a new secret key. In n8n, create a new "OpenAI API" credential and paste your API key. Give it a name. Apply Credential to Nodes: OpenAI Message Node Connect your LinkedIn account to the Linked in Node Select your account from the LinkedIn Dropdown box. An n8n automation workflow template by Chad McGreanor.

By Ahmed Saadawi

Auto-Log WhatsApp Inbound Messages to Vtiger CRM Leads (with WhatsAppLog) Description 🔥 A Game-Changer for CRM Logging! Automatically Log WhatsApp Inbound Messages to Vtiger and Link to Leads 💬⚡ ⚠️ This Workflow Requires Community Nodes & a Self-Hosted n8n Instance > This template uses a custom community node: > * n8n-nodes-vtiger-crm > ✅ No need for an Evolution API node — webhook is used instead. 🔧 How to Install Community Nodes Go to Settings → Community Nodes Click Install Node Add this: n8n-nodes-vtiger-crm Restart n8n if prompted. 💬 Automatically Log WhatsApp Inbound Messages in Vtiger CRM Overview This workflow listens for inbound WhatsApp messages via Evolution API Webhook, filters out outbound and group messages, and logs the message in the custom WhatsAppLog module in Vtiger. If the sender is not in CRM, it creates a new lead and links the message. 🔄 What This Workflow Does 📩 Listens to WhatsApp inbound messages via webhook 🚫 Filters out group and outbound messages 🔍 Looks up existing lead by phone 🆕 Creates a new lead if not found 🧾 Logs the message in the WhatsAppLog module 🔗 Relates message to corresponding lead 🔗 Evolution API Webhook Configuration Open your Evolution API dashboard Go to Events → Webhook Enable Webhook Set the Webhook URL to your n8n webhook path: https://your-n8n-domain/webhook/whatsAppListen Enable only the event: ✅ MESSAGES_UPSERT Disable all other events to avoid unnecessary triggers This ensures only inbound WhatsApp messages are pushed to n8n. > No need to use the Evolution API node in n8n. All communication is triggered via webhook. 📸 Visual Preview 🧩 Workflow Canvas > Full view of the automation steps in n8n 💬 WhatsApp Message Capture > A sample inbound message sent to your WhatsApp number 🛠️ Setup Instructions 1. Vtiger CRM Setup Ensure the Leads module has phone fields (phone or mobile) Create a custom module WhatsAppLog (if not already present) Connect your Vtiger CRM API credentials to n8n 2. Webhook Setup Follow the Webhook Configuration steps above for Evolution API Make sure your n8n instance is publicly accessible 3. Workflow Customization Update field mapping inside the Set and Log nodes Adjust the assigned_user_id or custom fields as needed 👥 Who Is This For? CRM admins managing WhatsApp communication Sales teams tracking lead interactions in Vtiger Support teams logging WhatsApp tickets Businesses using Evolution API to receive WhatsApp messages 🔐 Credentials Required ✅ Vtiger CRM API ❌ No Evolution API credentials needed inside workflow (webhook-only) 🏷 Tags vtiger, whatsapp, crm automation, inbound message logging, evolution api, whatsapp crm integration, n8n template, community nodes, lead management, self-hosted n8n, customer communication, no-code crm, webhook. An n8n automation workflow template by Ahmed Saadawi.

By Grace Gbadamosi

How it works This workflow automatically monitors multiple websites using AI-powered analysis and MCP (Model Context Protocol) tools. The system runs scheduled checks, analyzes website performance and security using browser-tools-mcp and mcp-recon servers, categorizes issues by severity (critical, warning, info), sends appropriate alerts through Slack and email, and logs all findings to Google Sheets for historical tracking and trend analysis. Who is this for DevOps engineers, website administrators, system monitors, digital agencies, and technical teams responsible for maintaining multiple websites. Perfect for organizations that need automated website health monitoring with intelligent analysis, comprehensive security checks, and immediate alerting for critical issues. Requirements MCP Servers**: Browser-tools-mcp and mcp-recon servers running locally or remotely OpenAI API**: API key for AI-powered website analysis Google Sheets**: Spreadsheet with "Websites" and "Monitoring Log" sheets Slack Integration**: Slack workspace with webhook or bot token for alerts Email Configuration**: SMTP settings for critical email notifications Environment Variables**: Secure storage for all credentials and endpoints How to set up Install and Configure MCP Servers - Set up browser-tools-mcp and mcp-recon servers, configure endpoints in environment variables (MCP_BROWSER_TOOLS_URL, MCP_RECON_URL) Prepare Google Sheets Integration - Create spreadsheet with "Websites" sheet (URL column) and "Monitoring Log" sheet, set GOOGLE_SHEET_ID environment variable Configure Notification Systems - Set up Slack webhook/bot and email SMTP settings, configure SLACK_CHANNEL, ALERT_EMAIL, FROM_EMAIL variables Customize Monitoring Parameters - Update Configuration Variables node with your monitoring thresholds, batch sizes, and website lists How to customize the workflow Modify the Configuration Variables node to adjust monitoring thresholds (response times, performance scores), change batch processing sizes, update notification preferences, or add additional websites to monitor. Customize alert severity rules in the Alert Severity Router and modify notification templates in the Slack and Email nodes. An n8n automation workflow template by Grace Gbadamosi.

By Budi SJ

Personalized Weather Assistant with Google Calendar, WeatherAPI, AI & Telegram This workflow automates the delivery of a personalized daily agenda by combining events from Google Calendar with real-time local weather conditions. Using AI-powered summarization and Telegram integration, users receive a friendly and motivating message every morning everything needed to plan the day effectively. Perfect for professionals or individuals who want an overview of their schedule and weather in one place. 🛠️ Key Features Triggered automatically every morning by schedule Fetches Google Calendar events for today and tomorrow Retrieves weather conditions (temperature, humidity, wind, UV index) using WeatherAPI based on event location Uses AI Agent to generate a concise, human-friendly agenda summary Sends the summary via Telegram bot If no location is available, delivers a simplified agenda without weather 🔧 Requirements Google Calendar OAuth2 credentials connected to n8n WeatherAPI key (weatherapi.com) Telegram Bot Token and user chat_id OpenRouter API Key (openrouter.ai) 🧩 Setup Instructions Timezone Adjust timezone in the Set Timezone node Google Calendar Add Google Calendar OAuth2 credentials Set your primary calendar ID in the Get many events node WeatherAPI Replace the API key in the HTTP Request node with your WeatherAPI key OpenRouter Create credentials in n8n and connect them to the OpenRouter Chat Model nodes Telegram Add your bot token and chat_id to both Telegram nodes Deploy Activate the workflow You’ll start receiving personalized daily Telegram messages. An n8n automation workflow template by Budi SJ.

By Julian Kaiser

What problem does this solve? Earlier this year, as I got more involved with n8n, I committed to helping users on our community forums and the n8n subreddit. The volume of questions was growing, and I found it was a real challenge to keep up and make sure no one was left without an answer. I needed a way to quickly see what people were struggling with, without spending hours just searching for new posts. So, I built this workflow. It acts as my personal AI research assistant. Twice a day, it automatically scans Reddit and the n8n forums for me. It finds relevant questions, summarizes the key points using AI, and sends me a digest with direct links to each post. This allows me to jump straight into the conversations that matter and provide support effectively. While I built this for n8n support, you can adapt it to monitor any community, track product feedback, or stay on top of any topic you care about. It transforms noisy forums into an actionable intelligence report delivered right to your inbox. How it works Here’s the technical breakdown of my two-part system: AI Reddit Digest (Daily at 9AM / 5 PM): Fetches the latest 50 posts from a specified subreddit. Uses an AI Text Classifier to categorize each post (e.g., QUESTION, JOB_POST). Isolates the posts classified as questions and uses an AI model to generate a concise summary for each. Formats the original post link and its new summary into an email-friendly format and sends the digest. AI n8n Forum Digest (Daily at 9AM / 5 PM): Scrapes the n8n community forum to get a list of the latest post links. Processes each link individually, fetching the full post content. Filters these posts to keep only those containing a specific keyword (e.g., "2025"). Summarizes the filtered posts using an AI model. Combines the original post link with its AI summary and sends it in a separate email report. Set up steps This workflow is quite powerful and requires a few configurations. Setup should take about 15 minutes. Add Credentials: First, add your credentials for your AI provider (like OpenRouter) and your email service (like Gmail or SMTP) in the Credentials section of your n8n instance. Configure Reddit Digest: In the Get latest 50 reddit posts node, enter the name of the Subreddit you want to follow. Fine-tune the AI's behavior by editing the prompt in the Summarize Reddit Questions node. (Optional) Add more examples to the Text Classifier node to improve its accuracy. Configure n8n Forum Digest: In the Filter 2025 posts node, change the keyword to track topics you're interested in. Edit the prompt in the Summarize n8n Forum Posts node to guide the AI's summary style. Activate Workflow: Once configured, just set the workflow to Active. It will run automatically on schedule. You can also trigger it manually with the When clicking 'Test workflow' node. An n8n automation workflow template by Julian Kaiser.

By Faisal F Rafat

Overview: This n8n workflow fetches the subscriber count of a specific YouTube channel using the YouTube Data API and displays the compacted count on an AWTRIX 3 / Ulanzi Smart Clock via its local HTTP API. 💡 You can run this every hour (or adjust the schedule), and it pushes a custom notification with a YouTube-style icon to your AWTRIX screen. 🔧 Setup Instructions: 1. 🧩 Requirements A working AWTRIX 3 (e.g., Ulanzi Smart Clock) on the same local network. A valid YouTube Data API v3 key. A channel ID for the YouTube channel you want to track. Upload a YouTube-style icon to your AWTRIX before running this flow: Go to AWTRIX Icon Gallery Search for a YouTube icon or upload your own Get the corresponding icon ID (e.g., 26963) 2. 🧠 How It Works Triggers every hour Makes a GET request to YouTube API to fetch subscriberCount Formats the number using compact notation (e.g., 1.2M) Sends a POST request to AWTRIX at your specified local IP with the count and icon 3. 🔧 Required Replacements: Replace the following placeholder values in the HTTP Request nodes: Placeholder - Replace With YOUR_YOUTUBE_CHANNEL_ID - Your YouTube channel ID YOUR_YOUTUBE_API_KEY - Your API key from Google Developer Console YOUR_AWTRIX_IP - Your AWTRIX local IP address (e.g., 192.168.1.108) YOUR_ICON_ID - Icon ID from AWTRIX Icon Gallery (e.g., 26963). An n8n automation workflow template by Faisal F Rafat.

By Grace Gbadamosi

How it works This workflow automatically monitors your Google Business Profile for new reviews and uses AI to generate personalized response suggestions. When a review is detected, the system formats the review data, generates an appropriate AI response based on the rating and content, sends differentiated Slack notifications (urgent alerts for negative reviews, celebration messages for positive ones), and logs everything to Google Sheets for tracking and analysis. Who is this for Local business owners, restaurant managers, retail store operators, service providers, and reputation management teams who want to stay on top of customer feedback and respond promptly with thoughtful, AI-generated responses. Perfect for businesses that receive regular reviews and want to maintain consistent, professional customer engagement without manually monitoring multiple platforms. Requirements Google Business Profile**: Active business profile with review monitoring enabled Google API Credentials**: Service account with access to Business Profile API and Sheets API Slack Webhook**: Incoming webhook URL for team notifications Google Sheets**: Spreadsheet with "Reviews" sheet for logging review data Environment Variables**: Setup for secure credential storage Basic n8n Knowledge**: Understanding of triggers, expressions, and credential management How to set up Configure Google Business Profile API - Create Google Cloud project, enable Business Profile API, set up service account credentials, and add your Business Account ID and Location ID to environment variables Prepare Google Sheets Integration - Create Google Sheet with "Reviews" sheet, add required headers, set GOOGLE_SHEET_ID environment variable, and ensure service account has edit access Setup Slack Notifications - Create Slack webhook in your workspace and set SLACK_WEBHOOK_URL environment variable Customize Business Settings - Update Business Configuration node with your business name and adjust AI response tone preferences How to customize the workflow Modify the Business Configuration node to change your business name, adjust the AI response tone (professional, friendly, casual), customize Slack notification messages in the HTTP Request nodes, or add additional review sources by duplicating the trigger structure. An n8n automation workflow template by Grace Gbadamosi.

By Davide Boizza

🤝🖊️🤖 This workflow automates the process of retrieving meeting transcripts from Fireflies.ai, extracting and summarizing relevant content using Google Gemini, and sending or drafting well-formatted summaries and emails via Gmail. Fireflies is an AI-powered meeting assistant that automatically records, transcribes, and summarizes meetings. It integrates with popular video conferencing tools like Zoom, Google Meet, and Microsoft Teams, helping teams capture key insights and action items without manual note-taking. This workflow automates meeting recap generation, from email detection to AI-powered summarization and delivery. Key Benefits 💡 Automated Insight Extraction**: Uses AI (OpenAI & Gemini) to extract and summarize key insights from meetings automatically. 📩 Instant Client Communication**: Generates ready-to-send meeting summaries and drafts without human intervention. 📥 Email Monitoring**: Listens to Gmail for specific meeting recap messages and reacts accordingly. 🔗 Seamless Fireflies Integration**: Dynamically pulls transcript data 🧠 Dual AI Models**: Combines the strengths of OpenAI and Gemini for rich, contextual summaries in multiple formats. 🛠 Modular Design**: Easily customizable and extensible for adding more destinations (e.g., Slack, Notion, CRM). 🧑‍💼 Ideal for Teams & Consultants**: Great for sales teams, project managers, or consultants who handle multiple client meetings daily. How It Works Trigger: The workflow starts with a Gmail Trigger node that monitors incoming emails with the subject "Your meeting recap". It checks for new emails every hour. Alternatively, it can be manually triggered using the "When clicking ‘Execute workflow’" node for testing. Alternatively, via Webhook. Email Processing: The "Get a message" node fetches the full email content. The "Set Meeting link" node extracts the meeting link from the email. The "Information Extractor" (powered by OpenAI) processes the email text to identify the meeting URL. Transcript Retrieval: A Code node parses the meeting ID from the URL. The "Get a transcript" node (Fireflies.ai integration) fetches the full meeting transcript using the extracted meeting ID. Transcript Processing: The "Set sentences" and "Set summary" nodes extract structured data (sentences, short summary, overview) from the transcript. The "Full transcript" node combines all transcript segments into a readable format. AI Summarization & Email Generation: Google Gemini models analyze and summarize the transcript in Italian ("Expert Meeting transcripts") and generate a client-friendly recap ("Meeting summary expert"). The "Email writer" node combines summaries into a cohesive email draft. The Markdown to HTML nodes format the content for email readability. Output: A "Draft email to client" node prepares the final recap. Two Gmail nodes ("Send Full meeting summary" and "Send a message1") dispatch the summaries to the specified recipient. Set Up Steps Configure Credentials: Ensure the following credentials are set up in n8n: Fireflies.ai API (for transcript retrieval). Gmail OAuth2 (for email triggering/sending). OpenAI API (for initial text extraction). Google Gemini (PaLM) (for summarization). Adjust Nodes: Update the "Gmail Trigger" node with the correct email filter (subject:Your meeting recap). Replace YOUR_EMAIL in the Gmail Send nodes with the recipient’s address. Verify the Code nodes (e.g., meeting ID extraction) match your URL structure. Deploy: Activate the workflow. Test using the Manual Trigger or wait for the Gmail trigger to execute automatically. Optional Customization: Modify the Google Gemini prompts for different summary styles. Adjust the email templates in the final Gmail nodes. Need help customizing? Contact me for consulting and support or add me on Linkedin. An n8n automation workflow template by Davide Boizza.

By Marth - Business Automation

How It Works ⚙️ Imagine a relentless, intelligent sales assistant working for you 24/7. That's exactly what this system is. It takes the grueling, manual work of outreach and transforms it into a precision-guided, automated process that wins clients. Your Target Identified & Profiled: You simply tell the system who you're looking for. Our first AI brain dives deep, scouring LinkedIn and the web to find your ideal prospects, pulling in every crucial detail about them – from their recent posts to their company's latest moves. No more endless searching. Hyper-Personalized Messages, Crafted Just For Them: This is where the magic happens. A series of smart AI agents take all that rich data and write your emails. They craft opening lines that instantly grab attention by referencing something specific to your prospect. They tailor your value proposition to hit their exact pain points. They even generate subject lines that get opened and calls-to-action that get clicked. It feels like you wrote every email by hand, but it's all automatic. Strategic Multi-Touch Outreach: Your perfectly crafted email goes out. Then, the system intelligently tracks engagement. If there's no reply, it doesn't give up. It automatically sends follow-ups, each one uniquely generated by AI to re-engage, adding new value or a gentle nudge, until you get that crucial response. Your Pipeline, Optimized: Every action is logged in your database. You see exactly who's been contacted, their status, and when the next touchpoint is. This isn't just sending emails; it's building a predictable, efficient revenue machine that fuels your growth without you lifting a finger. This system isn't just automating tasks; it's automating revenue. Setup Steps 🛠️ Getting this powerhouse running is straightforward. Follow these steps, and you'll be on your way to revolutionizing your outreach. Prep Your Prospect List & Database: Start with a simple list of your target prospects (Company Name, Website, Prospect Name, LinkedIn URL). Create a clean Google Sheet (or Airtable base) to serve as your central database. Set up columns for everything: Name, Email, Company, LinkedIn URL, Status, Follow-Up Count, etc. This is where all the magic gets tracked. Get Your Digital Tools Ready: Apify API Key: You'll need an Apify account and an API key for the powerful LinkedIn scraping. Hunter.io API Key: Secure your Hunter.io API key to accurately find professional email addresses. OpenAI API Key: This is the brain behind the operation. Get your OpenAI API key for GPT-4 access. Gmail / SendGrid / Your Email Service Credentials: Connect your email sending platform so the system can fire off those personalized messages. Slack Credentials (Optional): If you want your team to get instant notifications about replies, have your Slack bot token ready. Build Your Report Template (Google Docs): Create a Google Docs template for any reports or internal summaries you might want to generate. You'll add special placeholders ({{ }} ) where the AI will inject data. Import & Connect: Import the n8n workflow JSON (you'll get this from us!). Connect all your prepared credentials inside n8n. It’s like plugging in the power cords for your new sales machine. Customize Your Strategy: Refine the AI Prompts: This is key! Tweak the OpenAI nodes' instructions to perfectly match your brand voice, your unique value proposition, and the specific nuances of your outreach strategy. This is where you infuse your expertise into the AI. Adjust Follow-Up Timing: Decide how many days to wait between follow-ups and how many follow-ups you want to send. It's fully flexible. Launch & Watch It Work: Hit 'Save' and then 'Activate' your workflow. Run your first test with a few prospects. Watch as the system researches, crafts, sends, and tracks, all on autopilot. Stop leaving money on the table. This is your chance to automate your growth. Start building now!. An n8n automation workflow template by Marth - Business Automation.

By Oneclick AI Squad

This automated n8n workflow detects and manages fraudulent booking transactions through comprehensive AI-powered analysis and multi-layered security checks. The system processes incoming travel booking data, performs IP geolocation verification, enriches transaction details with AI insights, calculates dynamic risk scores, and executes automated responses based on threat levels. All transactions are logged and appropriate notifications are sent to relevant stakeholders. Good to Know The workflow combines multiple detection methods, including IP geolocation, AI analysis, and risk scoring algorithms Google Gemini Chat Model provides advanced natural language processing for transaction analysis Risk levels are dynamically calculated and categorized as CRITICAL, HIGH, or standard risk Automated blocking and flagging system protects against fraudulent transactions in real-time All transaction data is logged to Google Sheets for audit trails and pattern analysis The system respects API rate limits and includes proper error handling mechanisms How It Works 1. Initial Data Ingestion & Extraction Monitors and captures incoming booking transaction data from various sources Extracts key booking details including user information, payment data, booking location, and transaction metadata Performs initial data validation and formatting for downstream processing 2. IP Geolocation and AI Analysis IP Geolocation Check**: Validates booking IP addresses by checking geolocation details and comparing against expected user locations AI Agent Integration**: Utilizes Google Gemini Chat Model to analyze booking patterns, user behavior, and transaction anomalies Enhanced Data Processing**: Enriches transaction data with geographical context and AI-driven risk indicators 3. Risk Calculation and Decision Logic Enhanced Risk Calculator**: Combines AI-generated risk scores with geolocation-based factors, payment method analysis, and historical patterns Critical Risk Check**: Flags transactions with risk levels marked as CRITICAL for immediate action High Risk Check**: Identifies HIGH risk transactions requiring additional verification steps Dynamic Scoring**: Adjusts risk calculations based on real-time threat intelligence and pattern recognition 4. Action & Notification Block User Account**: Automatically blocks user accounts for CRITICAL risk transactions to prevent immediate fraud Flag for Review**: Marks HIGH risk transactions for manual review by fraud prevention teams Send Notifications**: Dispatches real-time alerts via email and messaging systems to security teams Automated Responses**: Sends appropriate messages to users based on transaction status and risk level 5. Logging & Response Log to Google Sheets**: Records all transaction details, risk scores, and actions taken for comprehensive audit trails Flag for Review**: Maintains detailed logs of flagged transactions for pattern analysis and machine learning improvements Response Tracking**: Monitors and logs all automated responses and manual interventions How to Use Import the workflow into your n8n instance Configure Google Gemini Chat Model API credentials for AI analysis Set up IP geolocation service API access for location verification Configure Google Sheets integration for transaction logging Establish Gmail/email credentials for notification delivery Define risk thresholds and scoring parameters based on your fraud tolerance levels Test the workflow with sample booking data to verify all components function correctly Monitor initial deployments closely to fine-tune risk scoring algorithms Establish manual review processes for flagged transactions Set up regular monitoring and maintenance schedules for optimal performance Requirements Google Gemini Chat Model API access IP Geolocation service API credentials Google Sheets API integration Gmail API or SMTP email service for notifications n8n instance with appropriate node modules installed Customizing This Workflow Risk Scoring Parameters**: Adjust risk calculation algorithms and thresholds based on your specific fraud patterns and business requirements AI Model Configuration**: Fine-tune Google Gemini prompts and analysis parameters for improved accuracy in your use case Notification Channels**: Add or modify notification methods including Slack, SMS, or webhook integrations Data Sources**: Extend input methods to accommodate additional booking platforms or payment processors Logging Destinations**: Configure alternative or additional logging systems such as databases or external SIEM platforms Geographic Rules**: Customize geolocation validation rules based on your service areas and customer base Automated Actions**: Modify or expand automated response actions based on your fraud prevention policies Review Workflows**: Integrate with existing fraud review systems or ticketing platforms for seamless manual review processes. An n8n automation workflow template by Oneclick AI Squad.

By lin@davoy.tech

Gold Price Alert This workflow template, "Gold Price Alert," is designed to monitor gold prices at regular intervals and send real-time notifications via LINE when the price exceeds a specified threshold. By leveraging the power of web scraping and automated alerts, this template ensures you stay informed about significant changes in gold prices without manual intervention. Whether you're an investor, trader, or simply someone interested in tracking gold prices, this workflow provides a reliable and customizable solution for staying updated. Who Is This Template For? Investors & Traders: Who want to monitor gold prices and receive alerts when the price reaches a specific threshold. Financial Analysts: Looking for automated tools to track commodity prices. Businesses: Operating in industries where gold prices impact operations or profitability. Automation Enthusiasts: Seeking to build workflows that combine web scraping, data processing, and messaging platforms. What Problem Does This Workflow Solve? Tracking gold prices manually can be time-consuming and prone to oversight, especially if you’re monitoring multiple sources or need alerts for specific thresholds. This workflow solves that problem by: Automatically checking gold prices every 6 hours using a schedule trigger. Extracting the latest price from a trusted source (e.g., Gold Traders Association ). Sending instant notifications via LINE when the price exceeds a predefined threshold (e.g., 52,300 THB). Reducing the need for constant manual checks while ensuring timely updates. What This Workflow Does 1) Scheduled Trigger: The workflow is triggered every 6 hours to check the current gold price. 2) Fetch Webpage Content: It retrieves the HTML content of the webpage displaying the latest gold prices. 3) Extract Price Data: Using CSS selectors, the workflow extracts the relevant price data (e.g., buying price) from the HTML content. 4) Filter Prices: The extracted price is converted into a numeric format and compared against a predefined threshold (e.g., 52,300 THB). Alerts are only sent if the price exceeds this value. 5) Send Notification via LINE: If the condition is met, the workflow sends a notification to your LINE account with the current gold price. Setup Guide Pre-Requisites Access to the LINE Developers Console to configure your API Access Token Basic knowledge of HTML and CSS selectors for extracting data from webpages. Familiarity with n8n workflows and JSON formatting. Step-by-Step Setup 1) Configure the Schedule Trigger: Set the interval to 6 hours or adjust it based on your preference. 2) Set Up Webpage Fetching: Update the URL in the HTTP Request node to point to the webpage containing the gold price data. 3) Extract Price Data: Use the HTML Extractor node to specify the CSS selector for the price element (e.g., #DetailPlace_uc_goldprices1_lblBLBuy). 4) Set Price Threshold: Modify the threshold value in the If node to match your desired alert level (e.g., 52,300 THB). 5) Configure LINE Push API: Replace the placeholder to field in the Send Line Message node with your LINE user ID to ensure notifications are sent to the correct account. Test the Workflow: Run the workflow manually to verify that it fetches the price, evaluates the condition, and sends notifications correctly. How to Customize This Workflow to Your Needs Change the Interval: Adjust the schedule trigger to check prices more or less frequently (e.g., hourly or daily). Monitor Multiple Prices: Extend the workflow to extract and compare additional price points (e.g., selling price, international rates). Integrate Other Platforms: Replace the LINE notification with integrations for Telegram, email, or SMS. Expand Use Cases: Adapt the workflow to track other commodities or financial indicators by modifying the webpage URL and CSS selectors. Why Use This Template? Real-Time Alerts: Stay informed about significant changes in gold prices without manual intervention. Customizable Thresholds: Set your own price thresholds to receive alerts tailored to your needs. Easy Integration: Seamlessly integrates with LINE for quick setup and minimal maintenance. Scalable: Easily extend the workflow to monitor multiple data points or integrate with other platforms. An n8n automation workflow template by lin@davoy.tech.

By InfyOm Technologies

✅ What problem does this workflow solve? Many websites lack a smart, searchable interface. Visitors often leave due to unanswered questions. This workflow transforms any website into a Retrieval-Augmented Generation (RAG) chatbot—automatically extracting content, creating embeddings, and enabling real-time, context-aware chat on your own site. ⚙️ What does this workflow do? Accepts a website URL through a form trigger. Fetches and cleans website content. Parses content into smaller sections. Generates vector embeddings using OpenAI (or your embedding model). Stores embeddings and metadata in Supabase’s vector database. When a user asks a question: Searches Supabase for relevant chunks via similarity search. Retrieves matching content as context. Sends context + question to OpenAI to generate an accurate answer. Returns the AI-generated response to the user in the chat interface. 🔧 Setup Instructions 🖥️ Website Form Trigger Use a Form / HTTP Trigger to submit website URLs for indexing. 📥 Content Extraction & Chunking Use HTTP nodes to fetch HTML. Clean and parse it (e.g., remove scripts, ads). Use a Function node to split into manageable text chunks. 🧠 Embedding Generation Call OpenAI (or Cohere) to generate embeddings for each chunk. Insert vectors and metadata into Supabase via its API or n8n Supabase node. 💬 User Query Handling Use a Chat Trigger (webhook/UI) to receive user questions. Convert the question into an embedding. Query Supabase with similarity search (e.g., match_documents RPC). Retrieve top-matching chunks and feed them into OpenAI with the user question. Return the reply to the user. 🛠 AI & Database Setup OpenAI API key** for embedding and chat. A Supabase project with: vector extension enabled Tables for document chunks and embeddings A similarity search function like match_documents 💬 How to Embed the Chat Widget on Your Website You can add the chatbot interface to your website with a simple JavaScript snippet. Steps: Open the "When chat message received" node Copy Chat URL Make sure, "Make Chat Publicly Available "Toggle is enabled Make sure the mode is "Embedded Chat" Follow the instructions given on this package here. 🧠 How it Works Submit URL → Form Trigger Fetch Website Content → HTTP Request Clean & Chunk Content → Function Node Make Embeddings (OpenAI/Cohere) Store in Supabase → embeddings + metadata User Chat → Chat Trigger Search for Similar Content → Supabase similarity match Generate Answer → OpenAI completion w/ context Send Reply → Chat interface returns answer 🗂 Why Supabase? Supabase offers a scalable Postgres-based vector database with extensions like pgvector, making it easy to: Store vector data alongside metadata Run ANN (Approximate Nearest Neighbor) similarity searches Integrate seamlessly with n8n and your chatbot UI :contentReference[oaicite:1]{index=1} 👤 Who can use this? 📝 Documentation websites 👩‍💼 Support portals 🏢 Product/Landing pages 🛠 Internal knowledge bases Perfect for anyone who wants a smart, website-specific chatbot without building an entire AI stack from scratch. 🚀 Ready to Deploy? Plug in your: ✅ OpenAI API Key ✅ Supabase project credentials ✅ Chat UI or webhook endpoint … and launch your AI-powered, website-specific RAG chatbot in minutes!. An n8n automation workflow template by InfyOm Technologies.

By Yatharth Chauhan

How it works This workflow automates the process of handling incoming emails by: Receiving emails via IMAP. Converting the email to Markdown for better AI understanding. Summarizing the email using an AI model. Drafting a professional reply with AI, based on the summary. Requesting human approval for the AI-generated response. Sending the approved reply back to the original sender. Set up steps Estimated time: 10–20 minutes (excluding credential setup) What you’ll need: IMAP credentials for your email inbox SMTP credentials for sending emails OpenAI (or compatible) API key for AI steps Setup outline: Add your IMAP and SMTP credentials to the workflow. Connect your OpenAI (or compatible) account for AI summarization and reply generation. Deploy the workflow in n8n and activate it. Test by sending an email to your connected inbox. Note: Detailed configuration tips and explanations are included as sticky notes inside the workflow for each step. An n8n automation workflow template by Yatharth Chauhan.

By Hostinger

Quickly transform any LinkedIn profile URL into a concise, AI‑generated professional summary — perfect for recruiters, sales teams, and hiring managers who need instant insights into prospects or candidates without manual research. How it works The workflow polls a Google Sheet for new or updated rows containing LinkedIn profile URLs. For each URL, the Real‑Time LinkedIn Scraper API (via RapidAPI) pulls experience and education sections. Extracted profile data is sent to OpenAI’s GPT model, which generates a clean, structured summary highlighting key strengths, career trajectory, and differentiators. The generated summary is written back into a new column in the same row of your Google Sheet for easy review and sharing. Set up steps Connect your Google account and select the spreadsheet + worksheet containing your list of LinkedIn URLs. Sign up for the Real‑Time LinkedIn Scraper API on RapidAPI, copy your API key, and add it to the workflow’s HTTP Request node. Insert your OpenAI API key credentials. Ensure your Google Sheet has one column for “linkedin_url” and create two empty columns named “full_name” and "summary" (or customize them based on your needs). Run a single row through the workflow to verify scraping accuracy and summary formatting, then turn on the workflow for continuous automation. With this template, eliminate hours of manual profile review — instantly gain actionable insights and focus on what really matters: building relationships and closing deals. An n8n automation workflow template by Hostinger.

By Muhammad Asadullah

LinkedIn Post Generator - Automated Marketing Content Workflow This workflow creates and publishes professional LinkedIn posts automatically on a schedule, complete with AI-generated images. Here's how it works: How It Works Generates professional marketing posts focused on Generative AI and enterprise solutions (update prompt for your desired content) Creates matching images that represent the post's themes visually Publishes directly to LinkedIn on a scheduled basis Incorporates RSS feeds for up-to-date content inspiration Setup Steps (Estimated time: 15-20 minutes) API Credentials: Connect your OpenAI API key for text and image generation LinkedIn Authentication: Add your LinkedIn credentials to enable posting RSS Configuration: Add relevant industry RSS feed URLs for content inspiration Schedule: Set your preferred posting frequency in the Schedule Trigger node The workflow uses GPT-4o and GPT-4o Mini to create professionally-toned content that positions you as a thought leader in marketing and AI implementation. The generated content follows specific formatting guidelines to maximize engagement on LinkedIn. Each post is carefully crafted to be 100-150 words with strategic paragraph breaks, ending with relevant hashtags. The matching images are designed to be clean, minimalistic, and aligned with the post's theme without any distracting text elements. An n8n automation workflow template by Muhammad Asadullah.

By Antonis Logothetis

Multi-functional Discord Bot with Llama AI, Image Generation, and Knowledge Base Integration 🤖🎨🧠 Overview 🔍 This workflow creates a Discord bot that can: Monitor Discord messages from specific users 👀 Process different media types (images, audio, text) 🔎 Analyze images using AI 🖼️ Transcribe audio files 🎤 Generate responses using Llama AI 🦙 Create images from text prompts using Gemini AI 🎨 Prerequisites ✅ n8n automation platform 💻 API keys for Discord, Groq, Google/Gemini, and SerpAPI 🔑 Ollama setup for Llama language model 🧠 Main Workflow Components 🛠️ Message Monitoring System 📨 Set up a Discord receiver to monitor messages in your server 💬 Add a filter to only process messages from specific users 🔍 Create a wait timer to control how often the bot checks for new messages ⏱️ Media Type Detection 🔄 Create a system that detects what kind of content was shared: Audio files (by checking for waveform data) 🎵 Images (by checking content type) 🖼️ Text (default if no media detected) 💬 Add special detection for image creation commands 🎭 Image Processing 🖼️ Fetch the image from Discord 📥 Convert the image to a format the AI can understand 🔄 Send the image to Groq for analysis 🔍 Return the AI's description back to Discord 📤 Audio Processing 🎵 Fetch the audio file from Discord 📥 Send it to Groq's audio transcription service 🎤 Process the transcribed text with the AI assistant 🧠 Return the response to Discord 📤 Text Processing 💬 Send the text to an AI agent powered by Llama 🦙 Connect the agent to memory to maintain conversation context 🧠 Add knowledge tools like Wikipedia and search capabilities 🔍 Return the AI's response to Discord, with optional text-to-speech 🔊 Image Generation 🎨 Process the user's image creation request ✏️ Use an AI agent to refine the prompt for better results ✨ Send the enhanced prompt to Gemini for image generation 🖌️ Extract the generated image and post it to Discord 📤 Connecting the Components 🔗 Set up routing between components based on content type 🔀 Ensure all processes loop back to the message monitoring system ♻️ Add wait timers between operations to avoid rate limits ⏱️ Testing Tips 🐛 Test each type of content separately 🧪 Verify API connections and authentication 🔐 Check if responses are appropriate and timely ⏰ Optimization Suggestions ⚡ Adjust wait times based on your usage patterns ⏱️ Add more specific filters for message detection 🔍 Consider implementing caching for frequent requests 💾 Monitor performance and adjust as needed 📈 This Discord bot combines multiple AI services into a seamless experience, allowing users to interact with various AI capabilities through simple Discord messages. The modular design makes it easy to expand or modify specific features as needed! 🚀. An n8n automation workflow template by Antonis Logothetis.

By Tan Yong Sheng

WordPress Content Assistant: Article Recommendations & Q&A with Mistral AI Ideal for WordPress site owners who want to enhance user engagement This template attempts to create an AI-powered content assistant for WordPress sites using Mistral AI, enabling article recommendations, content summarization, and contextual Q&A capabilities. Pre-requisites: Mistral API key (or you could replace this with other LLM model) Disclaimer This service is independent of Mistral AI. It is a community-built and maintained service that accesses Mistral's API. Please use at your own risk. How it works Uses a multi-agent architecture with an intent router powered by Mistral to classify user queries Recommends relevant articles based on user interests through keyword planning and content matching Answers specific questions about current page content through content retrieval or summarization Handles basic conversation flows and greeting interactions How to use Import the template JSON file into your n8n instance Configure your Mistral API key in this workflow You must publish this workflow and ensure your Chat URL is publicly accessible. Add the provided HTML (in this n8n template or my blog here) to your WordPress site using WPCode plugin as custom HTML snippet, and change the <N8N_WEBHOOK_URL> to your Chat URL. Need Help? Go to my website or ask in the Forum! Happy chatbot Building! Note: This template is available for FREE on my blog: https://www.tanyongsheng.com/blog/how-to-create-a-custom-chatbot-for-wordpress-using-n8n/. If you'd like to support my work in creating helpful resources like this, you can purchase the template. Thanks for your consideration!. An n8n automation workflow template by Tan Yong Sheng.

By Dave Long

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Using the serial number for assets, this workflow will create a ticket with the subject "Found duplicate Serial Numbers" with a list of all of the duplicate assets for a technician to review and merge. Duplicate assets causes incorrect billing (if customers are billed based on asset counts), and additional overhead when reviewing the history of assets when that history is spread across multiple instances. Note: Due to limitations of the Syncro API, automatically merging duplicate assets is not possible. How it works: Get a list of all assets in Syncro and summarize the list based on the Customer ID, Asset Type, and Asset Serial Create a new ticket listing all of the duplicate assets Set up steps: Install the Syncro RMM community node Connect a Syncro RMM account* Open the "Create a ticket" node and update the customer ID *See Syncro RMM Community Node documentation for details about how to get a Syncro API key and what permissions the Syncro API key needs. An n8n automation workflow template by Dave Long.

By Muhammad Asadullah

Document Chat Bot with Automated RAG System This workflow creates a conversational assistant that can answer questions based on your Google Drive documents. It automatically processes various file types and uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on your document content. How It Works Monitors Google Drive for New Documents: Automatically detects when files are created or updated in designated folders Processes Multiple File Types: Handles PDFs, Excel spreadsheets, and Google Docs Builds a Knowledge Base: Converts documents into searchable vector embeddings stored in Supabase Provides Chat Interface: Users can ask questions about their documents through a web interface Retrieves Relevant Information: Uses advanced RAG techniques to find and present the most relevant information Setup Steps (Estimated time: 25-30 minutes) API Credentials: Connect your OpenAI API key for text processing and embeddings Google Drive Integration: Set up Google Drive triggers to monitor specific folders Supabase Configuration: Configure Supabase vector database for document storage Chat Interface Setup: Deploy the web-based chat interface using the provided webhook The workflow automatically chunks documents into manageable segments, generates embeddings, and stores them in a vector database for efficient retrieval. When users ask questions, the system finds the most relevant document sections and uses them to generate accurate, contextual responses. An n8n automation workflow template by Muhammad Asadullah.

By AlexAy

Who is this workflow template for? This workflow template is perfect for freelancers, small business owners, accounting teams, or anyone responsible for managing and recording invoices regularly. If you deal with multiple invoices and spend considerable time manually entering invoice data into a database, this automation will significantly simplify your daily operations and reduce potential errors. What this workflow does The workflow automates the entire invoice logging process. It continuously monitors a designated Google Drive folder every minute for new PDF invoice uploads. Once a new invoice is detected, it is automatically converted from PDF to an image format using the ILovePDF API. After conversion, Google's Gemini AI analyzes the image, intelligently extracting essential details such as vendor name, item description, invoice amount, invoice date, payment date, and bank reference numbers. Finally, this structured data is automatically recorded in an Airtable database (or optionally in a Google Sheet), ensuring organized, accessible records. Detailed Workflow Explanation Step 1: Invoice Detection** Monitors Google Drive for newly uploaded PDF invoices. Step 2: PDF to Image Conversion** Converts PDFs into images using ILovePDF. Step 3: Data Extraction via Gemini AI** Uses Gemini AI to analyze the invoice image. Extracts data such as Vendor, Description, Amount, Invoice Date, Paid Date, and Bank Reference. Provides clear descriptions even when original invoice descriptions are vague or missing by analyzing vendor context. Step 4: Structured Data Storage** Automatically sends extracted data to Airtable or Google Sheets. Step 5: File Management** Moves processed PDF files into a separate "Done" folder to clearly differentiate between processed and unprocessed invoices. Step-by-Step Setup Instructions Set Up Google Drive: Log in to Google Drive and create two folders: One named Invoices (for incoming PDF files) One named Processed (for processed files) Obtain API Credentials: ILovePDF API: Sign up at ILovePDF Developers. Retrieve your API key from your account dashboard. Google Gemini AI API: Register at Google AI and generate an API key. Airtable Database Preparation: Create an Airtable base with the following columns: Vendor (Text) Description (Text) Amount (Number or Text) Invoice Date (Date) Paid Date (Date) Bank Reference (Text) Import and Configure Workflow in n8n: Import the provided workflow JSON file into your n8n instance. Connect your Google Drive, ILovePDF, Google Gemini AI, and Airtable accounts by entering your credentials in their respective nodes. Adjust Workflow Settings: In the Google Drive nodes, ensure your newly created Invoices and Processed folders are correctly selected. Update the ILovePDF public key in the appropriate HTTP Request node. Customize the Gemini AI prompt to refine or expand data extraction according to your specific needs. Testing Your Setup: Upload a sample PDF invoice into the Invoices folder. Execute the workflow by clicking Test Workflow in n8n and verify if data extraction and Airtable logging operate correctly. Airtable Column Specifications Ensure your Airtable includes the following structure: Vendor**: Single Line Text Description**: Single Line Text Amount**: Currency or Single Line Text Invoice Date**: Date (formatted as YYYY-MM-DD) Paid Date**: Date (formatted as YYYY-MM-DD) Bank Reference**: Single Line Text How to Customize the Workflow System Prompt:** Adjust the AI instructions by modifying the prompt text to focus on additional or fewer invoice details. Structured Output Parser:** Modify the JSON schema in the parser node to match the structure and data points your project specifically requires: By following these instructions, you’ll have a fully automated, reliable system for handling and logging invoice data, significantly enhancing your productivity. An n8n automation workflow template by AlexAy.

By BrokenWatchCEO

🚀 Perfect if you are... 💰 Beginner Investor – Learn the market faster with AI-powered insights guiding your decisions. 📈 Retail Trader – Optimize your trading strategy with in-depth analysis typically reserved for professionals. 🏦 Hedge Fund & Institutional Trader – Automate high-level market analysis using advanced AI models. 🤖 Automation Enthusiast – Get hands-on with n8n and build an automated stock research tool. ❔ What It Does: ✅ AI-Driven Investment Reports – Our system analyzes 30,000+ tickers with historical data spanning 30+ years. It provides fundamental, technical, and sentiment analysis in a structured, easy-to-read report. ✅ Your Personal Hedge Fund on Your PC – AI-powered advisors analyze earnings reports, insider trades, stock prices, financial metrics, and news, delivering precise, data-driven recommendations tailored to you. ✅ Real Advisors, Real Insights – Our system replicates the thought processes of investing legends like Warren Buffett, Charlie Munger, Cathie Wood, and Ben Graham, offering multiple expert-style perspectives on every stock decision. ✅ Ultra Low Cost – Running this workflow costs less than $0.30 per report (AI model costs not included). That’s cheaper than a cup of coffee, yet it provides insights worth thousands of dollars. 🛠️ Initial Setup Visit FinancialDatasets.ai and retrieve your API key. Locate the HTTPS Nodes (🌐) and insert your API key under the header X-API-KEY in each one. In the Gmail node, ensure you set up the email where you want to receive your reports. Test your workflow by typing the name of a company or the stock ticker in the chat. Your report should arrive within 10 minutes. 🧪 Customize It! To modify the workflow triggers, change the trigger type and update the message that the Ticker Extractor receives in this part of the prompt: "Based on this message, =={{ $json.chatInput }}== " This prevents any disruptions in the workflow. To change the report destination, update the node type. You can send reports to Telegram, Slack, or other platforms instead of Gmail. Each advisor's personality is configured through its system message—feel free to tweak it to suit your needs. You can create new agents by duplicating an existing one and assigning it a different personality. Remember to reference the new agent in the linked nodes to ensure seamless integration. ⚠️ Important Note: This workflow requires an API key from FinancialDatasets.ai to access stock market data. An n8n automation workflow template by BrokenWatchCEO.

By Artur

Overview This automated workflow fetches Upwork job postings using Apify, removes duplicate job listings via Airtable, and sends new job opportunities to Slack. Key Features: Automated job retrieval** from Upwork via Apify API Duplicate filtering** using Airtable to store only unique jobs Slack notifications** for new job postings Runs every 30 minutes** during working hours (9 AM - 5 PM) This workflow requires an active Apify subscription to function, as it uses the Apify Upwork API to fetch job listings. Who is This For? This workflow is ideal for: Freelancers looking to track Upwork jobs in real time Recruiters automating job collection for analytics Developers who want to integrate Upwork job data into their applications What Problem Does This Solve? Manually checking Upwork for jobs is time-consuming and inefficient. This workflow: Automates job discovery based on your keywords Filters out duplicate listings, ensuring only new jobs are stored Notifies you on Slack when new jobs appear How the Workflow Works 1. Schedule Trigger (Every 20 Minutes) Triggers the workflow at 20-minute intervals Ensures job searches are only executed during working hours (9 AM - 5 PM) 2. Query Upwork for Jobs Uses Apify API to scrape Upwork job posts for specific keywords (e.g., "n8n", "Python") 3. Find Existing Jobs in Airtable Searches Airtable to check if a job (based on title and link) already exists 4. Filter Out Duplicate Jobs The Merge Node compares Upwork jobs with Airtable data The IF Node filters out jobs that are already stored in the database 5. Save Only New Jobs in Airtable The Insert Node adds only new job listings to the Airtable collection 6. Send a Slack Notification If a new job is found, a Slack message is sent with job details Setup Guide Required API Keys Upwork Scraper (Apify Token) – Get your token from Apify Airtable Credentials Slack API Token – Connect Slack to n8n and set the channel ID (default: #general) Configuration Steps Modify search keywords in the 'Assign Parameters' node (startUrls) Adjust the Working Hours in the 'If Working Hours' node Set your Slack channel in the Slack node Ensure Airtable is connected properly - you'll need to create a table with 'title' and 'link' columns. Adjust the 'If Working Hours' node to match your timezone and hours, or remove it altogether to receive notifications and updates constantly. How to Customize the Workflow Change keywords: update the startUrls in the 'Assign Parameters' node to track different job categories Change 'If Working Hours': Modify conditions in the IF Node to filter times based on your needs Modify Slack Notifications: Adjust the Slack message format to include additional job details Why Use This Workflow? Automated job tracking without manual searches Prevents duplicate entries in Airtable Instant Slack notifications for new job opportunities Customizable – adapt the workflow to different job categories Next Steps Run the workflow and test with a small set of keywords Expand job categories for better coverage Enhance notifications by integrating Telegram, Email, or a dashboard This workflow ensures real-time job tracking, prevents duplicates, and keeps you updated effortlessly. An n8n automation workflow template by Artur.

By Alex Huang

Use case This workflow is designed for e-commerce brands and content teams who: Need to scale SEO content production without sacrificing quality Want to eliminate manual keyword filtering (saves 10+ hours/week) Aim to dominate niche search terms (e.g., "vegan leather crossbody bags") What this workflow does Automates the end-to-end process from keyword discovery to publish-ready articles: Keyword Harvesting: Pulls 1,000+ keywords/day from SEMrush/Ahrefs Smart Filtering:Blocks competitor brands (e.g., "Zara alternatives") Detects irrelevant demographics ("kids", "petite") AI Content Generation:Flags non-compliant colors (non-black/white terms) Multi-Channel Output: Formats content for blogs, product descriptions, and email campaigns setup Add Google,SEMrush and OpenAI credentials Set the rules excel of google drive Test workflow by testing workflow Review generated opportunity report in Google Sheets How to adjust this template Change scenario: Replace the rules and define different target. An n8n automation workflow template by Alex Huang.

By Joseph

Transform Your Social Media Strategy with AI-Powered Content Generation! Stop spending hours crafting social media posts. This automated workflow uses AI to generate professional, platform-specific content and publishes it across your social channels on schedule. What This Workflow Does? This workflow creates a complete social media publishing system, incorporarint automated actions such as: Content Planning: Pull post ideas from a Google Sheet on schedule AI Content Creation: Generate tailored content for each platform using OpenAI Multi-Platform Publishing: Post to LinkedIn and Twitter with proper formatting Content Tracking: Log all scheduled posts in a Google Sheet Notification System: Get email confirmations when content is scheduled Perfect For: Marketing teams looking to scale content creation Social media managers handling multiple accounts Small businesses without dedicated social media staff Content creators needing consistent publishing schedules Setup Instructions: Required Accounts Before setting up the workflow, make sure you have: OpenAI API Key: For AI-powered content generation Google Account: To access Google Sheets for content ideas and tracking LinkedIn Account: With developer access for publishing Twitter/X Account: With developer access for publishing Email Account: For sending notifications. An n8n automation workflow template by Joseph.

By Agniva Mahata

How it Works: Trigger: The workflow is triggered by a webhook, initiated by an Airtable automation. This automation sends the Book or Chapter record ID and the desired action (e.g., "Generate Book Details," "Generate Chapters," "Generate Chapter Research," "Generate Chapter Content"). Action Routing: A "Switch" node directs the workflow based on the action query parameter received from the webhook. This determines which part of the book creation process will be executed. Data Retrieval: The workflow fetches the relevant book or chapter data from Airtable using the provided recordId. AI Processing: Book Details Generation: If the action is "Generate Book Details," an AI Agent (powered by a Large Language Model (LLM) like Google Gemini and the Perplexity search tool) researches the book idea. It focuses on crafting a compelling book description, identifying the target audience, and conducting general book research to maximize bestseller potential. The research brief is then saved back to Airtable. Chapter Generation: If the action is "Generate Chapters," an LLM generates 7-10 chapter titles and descriptions based on the book idea and previous research. A structured output parser ensures the chapter data is in the correct format. The chapters are then split into individual items and saved as separate records in the "Chapter" table in Airtable, linked to the main book record. Chapter Research Generation: If the action is "Generate Chapter Research," another AI Agent conducts in-depth research on a specific chapter, using the Perplexity search tool multiple times. It focuses on finding stories, case studies, historical events, and expert perspectives to make the chapter engaging and credible. The research is saved back to the "Chapter" record in Airtable. Chapter Content Generation: If the action is "Generate Chapter Content," an LLM writes the full content of the chapter, using the research gathered in the previous step, the overall book research, and the chapter description. The generated content is saved back to the "Chapter" record in Airtable. Airtable Updates: In each of the AI processing steps, the workflow updates the corresponding Airtable record (either "Book" or "Chapter") with the generated results (research, chapter details, or content) and sets the "Action" field back to "Idle." Set Up Steps: Airtable Setup (Estimated time: 10-15 minutes): Copy the Airtable base blueprint: https://airtable.com/appfkz4KUlKvOjtbp/shra78TlDfqLRdSfT. This will create the "Book" and "Chapter" tables with the necessary fields. In the "Book" table, create three Airtable Automations: Trigger: When a record matches conditions -> Action is Generate Book Details Action: Run a script. Use the following script: let autoRoute = input.config(); await fetch(autoRoute.webhookUrl + "?recordId=" + autoRoute.recordId + "&action=" + autoRoute.action); In the script action's configuration, add three "Input variables": webhookUrl (map it to your n8n webhook URL, obtained in the next step) recordId (map it to the Airtable record ID) action (map it to Action) Repeat this process to create two more automations in the "Book" table, identical except triggered when Action is Generate Chapters, respectively. In the "Chapter" table, create two Airtable Automations: Trigger: When a record matches conditions -> Action is Generate Chapter Research Action: Run a script (use the same script as above, with the same input variables). Create a second automation, identical except triggered when Action is Generate Chapter Content. n8n Setup (Estimated time: 15-20 minutes): Import the provided JSON workflow into n8n. Webhook Node: Copy the "Test URL" from the Webhook node. This is the webhookUrl you'll use in the Airtable automations. Important: Once you've tested and are ready to go live, switch to the "Production URL." Airtable Nodes: Configure all Airtable nodes (there are eight). You'll need to connect your Airtable account using OAuth 2. Select the correct Base ("Book Agency \[v1] Cobuild" or whatever you named it) and Table ("Book" or "Chapter") for each node. The field mappings are already defined in the template, but double-check them. LLM Nodes (Google Gemini & OpenAI): Connect your Google Gemini and OpenAI accounts to the respective LLM nodes. You'll need API keys for both. You may also configure different LLM Models. Perplexity Nodes Connect your Perplexity AI API to the Perplexity nodes. You'll need API keys for that. Activate the workflow. Testing (Estimated Time: 5-10 minutes): Go to your Airtable "Book" table. Create a New Record. Fill in the "Idea" field with a book concept. Change the "Action" field to "Generate Book Details". The Airtable automation should trigger, sending a request to your n8n webhook. Monitor the n8n execution log to see the workflow in action. Check the Airtable record to see if the "Research" field is populated. Repeat the testing for Generate Chapters, Generate Chapter Research and Generate Chapter Content. An n8n automation workflow template by Agniva Mahata.