by Yaron Been
Automated system for monitoring and analyzing competitor activities, funding rounds, and market movements using CrunchBase data. 🚀 What It Does Tracks competitor funding rounds Monitors leadership changes Analyzes investment patterns Identifies new market entries Tracks product launches 🎯 Perfect For Startup founders Business strategists Market analysts Investment professionals Corporate development ⚙️ Key Benefits ✅ Competitive intelligence ✅ Early warning system ✅ Market trend analysis ✅ Strategic insights ✅ Time-saving automation 🔧 What You Need CrunchBase API access n8n instance Google Sheets (for data storage) Notification preferences 📊 Tracking Metrics Funding amounts and rounds Investor networks Hiring trends Market expansion Product updates 🛠️ Setup & Support Quick Setup Start tracking in 20 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Gain a competitive edge with automated tracking and analysis of your competitors' activities and strategies.
by Keith Rumjahn
Who's this for? If you own a website and need to analyze your keyword rankings If you need to create a keyword report on your rankings If you want to grow your keyword positions SerpBear is an opensourced SEO tool specifically for keyword analytics. Click here to read details of how I use it Example output of A.I. Key Observations about Ranking Performance: The top-performing keyword is “Openrouter N8N” with a current position of 7 and an improving trend. Two keywords, “Best Docker Synology” and “Bitwarden Synology”, are not ranking in the top 100 and have a stable trend. Three keywords, “Obsidian Second Brain”, “AI Generated Reference Letter”, and “Actual Budget Synology”, and “N8N Workflow Generator” are not ranking well and have a declining trend. Keywords showing the most improvement: “Openrouter N8N” has an improving trend and a relatively high ranking of 7. Keywords needing attention: “Obsidian Second Brain” has a declining trend and a low ranking of 69. “AI Generated Reference Letter” has a declining trend and a low ranking of 84. “Actual Budget Synology”, “N8N Workflow Generator”, “Best Docker Synology”, and “Bitwarden Synology” are not ranking in the top 100. Use case Instead of hiring an SEO expert, I run this report weekly. It checks the keyword rankings of the past week and gives me recommendations on what to improve. How it works The workflow gathers SerpBear analytics for the past 7 days. It passes the data to openrouter.ai for A.I. analysis. Finally it saves to baserow. How to use this Input your SerpBearcredentials Enter your domain name Input your Openrouter.ai credentials Input your baserow credentials You will need to create a baserow database with columns: Date, Note, Blog Created by Rumjahn
by AlexAutomates
Auto-Categorize Outlook Emails with AI in n8n How It Works Trigger: The workflow starts with the Microsoft Outlook Trigger node, polling your inbox every minute for new emails. Extract & Clean Email Content: The email’s key fields (from, subject, isRead, body) are extracted. The body is converted from HTML to Markdown, then sanitized to plain text for reliable AI processing. Node Setup Details: Microsoft Outlook Trigger Resource: Message Operation: Trigger on new email Fields to Output: from, subject, isRead(optional), body Folders to Include: (Set to your Inbox or specific folder IDs) Markdown Node Input: {{$json"body"}} (HTML email body) Output Key: Email Body Markdown Purpose: Converts HTML to Markdown for easier downstream processing. Sanitize Node (Code Node) Input: Email Body Markdown from previous node Purpose: Cleans up Markdown, strips images, links, HTML tags, table formatting, and truncates to 4000 characters. Sample JS Code: // Get the markdown content from the previous node const markdownContent = $input.item.json["Email Body Markdown"]; Setup AI tools Move message and Get Folders Outlook tools are required, get contacts is optional. Set each field in the tools to "defined automatically by the model" and describe each field so the model understands how to use it. OpenRouter or other LLM models tool: You can use any client for this, but make sure to use a model that does well with tool calls (Claude, GPT-4.1, Gemini 2.5 Pro, etc.). Best Practices & Notes AI Prompt Engineering:** The AI is instructed to be conservative—never move emails from real people or saved contacts, and always explain its reasoning if it doesn’t move a message. This automation only works for NEW incoming messages. Inbox Zero:** This system is designed to help you achieve and maintain Inbox Zero by keeping only actionable items in your main inbox. Customization:** You can adjust the folder logic, add more categories, or tweak the AI prompt for your specific needs. Privacy:** All processing happens within your n8n instance; no email data is stored outside your environment except for the AI call (which only receives sanitized, minimal content).
by Mirajul Mohin
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automatically transform your video uploads into AI-powered summaries with key topic extraction and instant team notifications. What this workflow does Monitors Google Drive for new video uploads Downloads and processes videos using VLM Run AI Generates intelligent summaries with key topics extracted Posts results to Slack for immediate team access Setup Prerequisites: Google Drive account, VLM Run API credentials, Slack workspace, self-hosted n8n. You need to install VLM Run community node Quick Setup: Configure Google Drive OAuth2 and create video upload folder Add VLM Run API credentials Set up Slack integration for notifications Update folder/channel IDs in workflow nodes Test and activate Perfect for Meeting recordings and training videos Webinar summaries and educational content Content analysis and team collaboration Any video content requiring quick insights Key Benefits Asynchronous processing** handles large files without timeouts Multi-format support** for MP4, AVI, MOV, WebM, MKV Instant team updates** via Slack notifications Saves hours** of manual video review time How to customize Extend by adding: Video categorization and tagging Integration with project management tools Email notifications alongside Slack Searchable video databases with summaries This workflow transforms lengthy videos into actionable insights, making your content instantly accessible and shareable with your team.
by ist00dent
This n8n template allows you to monitor hourly weather conditions in a specific city using OpenWeatherMap and log the results to a Google Sheet. It’s perfect for anyone needing periodic weather tracking—whether you're managing logistics, travel planning, or environmental monitoring. 🔧 How it works A Schedule Trigger activates the workflow every hour. The Get Weather Data from OpenWeatherMap node fetches real-time weather details using the city name you specify. An IF node checks if the weather description contains "rain" or the temperature is below a set threshold. If the condition is true, the data is formatted with city, temperature, humidity, and conditions. The Google Sheets node appends this formatted information to your designated sheet. 👤 Who is it for? This workflow is ideal for: Operations teams monitoring weather-sensitive logistics Researchers collecting climate data Developers and hobbyists learning how to connect APIs with Google Sheets 🗂️ Google Sheet Structure Your Google Sheet should have the following columns: city (string) temperature (K) (number) humidity (number) conditions (string) status (string) ⚙️ Setup Instructions Create a Google Sheet with the above columns. Set up your Google Service Account credentials in n8n. Replace the API key in the HTTP Request node with your own OpenWeatherMap credential. Specify your target city and ensure your OpenWeatherMap account is active. Adjust the frequency in the Schedule Trigger as needed (default: every hour).
by Mike Russell
Boost engagement on your Discord server by automatically sharing new YouTube videos along with AI generated summaries of their content. This workflow is ideal for content creators and community managers looking to provide value and spark interest through summarized content, making it easier for community members to decide if a video is of interest to them. Watch this video tutorial to learn more about the template. How it works RSS Feed Trigger**: Monitors your YouTube channel for new uploads using the RSS feed. Video Captions Retrieval**: Fetches video captions using the YouTube API to get detailed content data. AI Summary Generation**: Uses an AI model to generate concise summaries from the video captions, highlighting key points. Discord Notification**: Posts video announcements along with their AI generated summaries to a specified Discord channel using a webhook. Set up steps Configure YouTube RSS Feed: Set up the RSS feed node to detect new video uploads. Add your YouTube channel ID to the URL in the first node: https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID. Connect OpenAI Account: To enable AI summary generation, connect your OpenAI account in n8n. Set Up Discord Webhook: Create a webhook in your Discord server and configure it in the Discord node. Design the Message: Format the Discord message as you like to include the video title, link, and the AI generated summary. Example This template empowers you to maintain a highly engaging Discord community, ensuring members receive not only regular updates but also valuable insights into each video's content without needing to watch immediately.
by Aurélien P.
📈 Daily Crypto Market Summary Bot (Binance to Telegram) This workflow fetches 24h price change data from Binance for selected crypto pairs (BTC/USDC, ETH/USDC, SOL/USDC) every hour using a cron schedule. It performs in-depth analysis—including volatility, volume, bid-ask spread, momentum, and market comparison—then formats a detailed market summary. The final report is sent to a Telegram chat using HTML formatting, highlighting top gainers, losers, and key metrics in a clean, readable layout. 🔑 Key Features ⏱ Runs every hour (cron: 5 * * * *) 🔍 Filters and analyzes major coins: BTC, ETH, SOL 📊 Calculates market metrics: Volatility Bid-ask spread Momentum Estimated market cap Market average comparison 📈 Highlights gainers, losers, and top coins by volume ✂️ Splits messages to fit Telegram’s 4096 character limit 💬 Sends output in rich HTML format to a Telegram group or chat 🎯 Use Cases ✅ Crypto traders wanting hourly performance insights ✅ Telegram groups needing automated market updates ✅ Analysts monitoring key coin metrics in real-time ✅ Bot developers creating crypto dashboards or alerts 🛠 Technical Details Data Source:** Binance 24hr ticker API (/api/v3/ticker/24hr) Coins Monitored:** BTCUSDC, ETHUSDC, SOLUSDC (can be expanded) Metrics Calculated:** Price change percentage Volatility (high vs low price) Bid-ask spread % Momentum (vs weighted average) Estimated market cap Number of trades Market average movement Message Format:** HTML with emojis, bold styling, and section headings Auto-split messages when exceeding Telegram's 4096-char limit Error Handling:** Retry on HTTP failure (up to 5 times with 5s delay) Message length checked and split for Telegram compatibility ⚙️ Setup Requirements Telegram Bot Token — Create a bot via @BotFather on Telegram Chat ID — Use a personal ID or group chat ID (add the bot to the group) n8n Instance — Either cloud or self-hosted (Optional) Modify relevantSymbols in the Function node to track different coins 🧠 Notes This workflow is highly customizable—feel free to modify the analytics, tracked pairs, or formatting. Great base for alerting systems or crypto dashboards. 📷 Example Output (Telegram) 📊 Crypto Market Summary — 2025-04-20 14:05:05 UTC 🌐 Market Overview (BTC, ETH, SOL) Average Change: -1.54% 24h Volume: $850,358,765.46 Most Volatile: SOLUSDC (4.53%) Most Liquid: BTCUSDC (0.0000% spread) 💹 Top by Volume ETHUSDC: $403,860,356.75 | -1.640% SOLUSDC: $279,241,338.60 | -1.706% BTCUSDC: $167,257,070.12 | -1.261% 📉 Losers SOLUSDC 🔻 Change: -1.71% (24h) 💰 Current: $137.10 📊 Range: $135.82 - $141.97 📈 Volatility: 4.53% 🔄 Volume: 2.01M | $279,241,338.60 ⚖️ Bid-Ask Spread: 0.0073% ⬇️ vs Market Avg: -0.17% 🔽 Momentum: -1.42% 🔢 Trades: 366,119 ETHUSDC 🔻 Change: -1.64% (24h) 💰 Current: $1,577.42 📊 Range: $1,565.60 - $1,631.98 📈 Volatility: 4.24% 🔄 Volume: 252.11K | $403,860,356.75 ⚖️ Bid-Ask Spread: 0.0044% ⬇️ vs Market Avg: -0.10% 🔽 Momentum: -1.53% 🔢 Trades: 596,801 BTCUSDC 🔻 Change: -1.26% (24h) 💰 Current: $84,336.65 📊 Range: $83,963.35 - $85,634.50 📈 Volatility: 1.99% 🔄 Volume: 1.97K | $167,257,070.12 ⚖️ Bid-Ask Spread: 0.0000% ⭐ vs Market Avg: 0.27% 🔽 Momentum: -0.68% 🔢 Trades: 124,202
by Rodrigue Gbadou
What this workflow does This n8n workflow connects to Google Search Console to fetch SEO performance data (clicks, impressions, CTR, and average position) for the last 7 days. It formats the results into a clean weekly summary and automatically sends it to your email inbox every Monday morning. Ideal for: Website owners Bloggers SEO consultants who want to track site performance over time without manual reporting. Setup steps Replace YOUR_SITE_URL in the HTTP Request node with your verified domain from Google Search Console. Connect your Google OAuth2 credentials to the HTTP Request node. Set up your SMTP credentials in the "Send Email" node. Adjust the recipient email address and subject line if necessary. (Optional) Customize the Function node to include more queries or format the report as a PDF. Estimated setup time: ~10 minutes Sticky notes are included in the workflow canvas to guide you step-by-step. Technologies used Google Search Console API SMTP Email Node n8n Function Node n8n HTTP Request Node n8n Sticky Notes
by Airtop
Extracting Comments from an X Post Use Case Engaging with conversations on X (formerly Twitter) is critical for brands and individuals monitoring sentiment, leads, or emerging trends. Manually collecting comments is time-consuming—this automation enables scalable extraction of comment data to inform your outreach or analysis. What This Automation Does This automation extracts comments from a specified X post, with the following input parameters: airtop_profile**: The name of your Airtop Profile connected to X. x_post_url**: The URL of the X post to extract comments from. max_number_of_comments**: The maximum number of comments to retrieve. How It Works Takes input via a form or another workflow. Normalizes the input values. Creates a new browser session using Airtop. Navigates to the provided X post. Uses a prompt to extract up to the specified number of comments, returning: Author name Author profile URL Comment text Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to X (requires one-time login). Next Steps Pair with X Monitoring**: Use this with the X monitoring automation to detect relevant posts and extract discussion context automatically. Feed into Analytics**: Combine with summarization or sentiment analysis tools to understand audience response at scale. Export for CRM/BI**: Pipe the structured comment data into your CRM or business intelligence stack for lead tracking or reporting. Read more about Extracting Comments from X Posts
by Roman Rozenberger
This workflow is perfect for technical writers, content creators, marketers, and developers who write in Markdown but need to collaborate or publish using Google Docs format. Ideal for teams that want to streamline their content creation and review process. What problem does this workflow solve? Manual conversion from Markdown to Google Docs is time-consuming and often loses formatting. This workflow eliminates the tedious copy-paste process, automatically preserves formatting, and creates organized, timestamped documents in your Google Drive. Perfect for content teams who write in Markdown but need Google Docs for collaboration and review. What this workflow does Converts Markdown to HTML** with proper formatting preservation (headers, lists, links, tables) Creates timestamped Google Docs** documents with automatic naming Adds Drive location metadata** for better organization and reference Maintains document structure** including emojis, tables, and text formatting Automates file creation** in specified Google Drive folders Setup Google Drive OAuth2 credentials configured in n8n Target Google Drive folder URL Input your content title and Markdown text in the "Set Input Data" node How to customize this workflow to your needs Modify HTML formatting options** in the Markdown conversion node Change file naming patterns** to match your organization system Adjust Drive folder structure** and metadata inclusion Update MIME type handling** for different output requirements Add additional processing steps** like notifications or integrations Perfect for technical documentation workflows, content publishing pipelines, blog preparation, and automated report generation. Setup Instructions - Markdown to Google Docs Converter Prerequisites n8n instance** (local or cloud) Google account** with Google Drive access Basic understanding** of n8n workflow configuration Step 1: Import the Workflow Open n8n and navigate to Workflows Click "Add workflow" → "Import from JSON" Upload the Export_Markdown_Content_do_Google_Docs_Document.json file Save the workflow with a descriptive name Step 2: Configure Google Drive Credentials Create Google Drive OAuth2 Credentials In n8n, go to Settings → Credentials Click "Add credential" → "Google Drive OAuth2 API" Follow the OAuth setup to authorize n8n access to Google Drive: Visit Google Cloud Console Create or select a project Enable Google Drive API Create OAuth2 credentials Add authorized redirect URI for your n8n instance Name the credential (e.g., "Google Drive - Markdown Converter") Configure Google Drive Nodes Update these nodes with your Google Drive credentials: Create Empty File Update Document with Correct HTML Formatting In each node: Select your Google Drive credential from the dropdown Test the connection to ensure it works properly Step 3: Prepare Your Google Drive Create Target Folder Go to Google Drive (drive.google.com) Create a new folder for your converted documents Copy the folder URL (will look like: https://drive.google.com/drive/folders/FOLDER_ID) Ensure the folder has proper permissions for your Google account Step 4: Configure Input Data Set Your Default Values Open the "Set Input Data" node Update the assignments with your preferences: Google Drive URL: Replace the example URL with your target folder URL Format: https://drive.google.com/drive/folders/YOUR_FOLDER_ID Content Title: Set a default title or leave placeholder text This will be used in the document filename Content in Markdown: Add your Markdown content or keep example for testing Supports standard Markdown syntax (headers, lists, links, tables) Step 5: Test the Workflow Initial Test Run Ensure all credentials are configured Click the "Test workflow" button on the Manual Trigger node Monitor the execution - check for any errors in node outputs Verify the result: Check your Google Drive folder Look for a new document with timestamp in the name Open the document to verify formatting Troubleshooting Common Issues Google Drive Permission Errors: Verify OAuth2 credentials are properly configured Check that the target folder exists and is accessible Ensure Google Drive API is enabled in Google Cloud Console Markdown Conversion Issues: Check that your Markdown syntax is valid Test with simple content first (headers, paragraphs, lists) Verify the "Change Markdown To HTML" node settings File Creation Problems: Confirm the Google Drive folder URL format is correct Check that the folder ID in the URL is valid Ensure your Google account has write permissions to the folder Step 6: Customize for Your Needs Modify HTML Formatting Options In the "Change Markdown To HTML" node: Enable/disable emoji support** (currently enabled) Adjust table formatting** (currently enabled) Modify header ID generation** (currently disabled) Configure space requirements** for headers Update File Naming Pattern In the "Create Empty File" node: Change the naming convention**: Currently uses _PUB {Content Title} {timestamp} Modify timestamp format**: Currently yyyy-MM-dd HH:mm:ss Add prefixes or suffixes** as needed for your organization Step 7: Production Usage Regular Workflow Execution Update the "Set Input Data" node with new content Execute the workflow manually or set up triggers Monitor execution logs for any issues Check Google Drive for generated documents Integration Options Webhook Integration: Add a Webhook trigger to accept external Markdown content Useful for automated content publishing workflows Email Integration: Add email notifications when documents are created Include links to generated Google Docs Advanced Configuration Error Handling Add error handling nodes after critical operations Implement retry logic for API failures Set up notifications for failed executions Performance Optimization Adjust the "Wait for Document Creation" timing if needed Consider file size limits for Google Docs Support and Troubleshooting Common Solutions Timeout errors**: Increase wait time in "Wait for Document Creation" Authentication failures**: Refresh Google OAuth2 credentials Formatting issues**: Test with simpler Markdown first Getting Help Check n8n community forums for Google Drive integration issues Review Google Drive API documentation for rate limits Test with minimal Markdown content to isolate problems Total setup time: ~15-20 minutes Difficulty level: Intermediate Requirements: Google account, n8n instance, basic OAuth2 setup knowledge
by n8n Team
This workflow automatically adds a new lead to Pipedrive once someone forks your GitHub repository. Prerequisites Pipedrive account and Pipedrive credentials GitHub account and GitHub credentials How it works GitHub Trigger node starts the workflow once someone forks your GitHub repository. HTTP Request node gets user's data from GitHub and sends it further. Pipedrive node searches forkee's data in Pipedrive by email. IF node decides whether to create a new person in Pipedrive in case contact doesn't exist yet or update an existing contact in Pipedrive. In case there's no contact existing yet, the Pipedrive node creates a lead and adds a note with GitHub URL.
by The Higher Pitch
This workflow automates the process of publishing PR News articles to the WordPress website. 🔧 How it works: Uses an RSS Feed Trigger to monitor new PR News articles. Extracts the article content and parses the featured image URL. Uploads the image to WordPress as a media item. Creates a new draft post on the WordPress site using the article's content and sets the uploaded image as the featured image. ✅ Features: Polls RSS feed every minute. Automatically extracts and sets featured images. Posts are created as drafts for editorial review. 📝 Requirements: WordPress REST API access with media upload permission. Active WordPress credentials in n8n. Perfect for teams who want to streamline PR content publishing without manual effort.