Workflow Templates

📈 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

What this workflow does This n8n workflow collects client feedback through a form (Tally, Typeform, or Google Forms) and uses AI to analyze it. It automatically generates a summary of the positive points, highlights areas for improvement, and drafts a short social media post based on the feedback. Ideal for: Freelancers Customer support teams Online service providers Coaches and educators Setup steps Connect your form tool to the Webhook node (POST method) and make sure it sends a feedback field. Add your DeepSeek (or other GPT-compatible) API key to the AI request node. Configure the email node with your SMTP credentials and desired recipient address. Replace the Telegram node with Slack, Buffer, or another integration if you prefer. (Optional) Customize the prompt in the function node for different tone/language. 🕐 Estimated setup time: ~15 minutes 💬 Sticky notes are included and clearly positioned to guide you. Technologies used n8n Webhook node n8n Function node DeepSeek Chat or compatible AI API Email node (SMTP) Telegram node (or other integration) Sticky Notes for setup guidance Use cases Analyze feedback from onboarding or satisfaction surveys Create ready-to-publish social media content from real customer praise Help support or marketing teams act on feedback immediately

Who is this template for? This workflow template is designed for content creators, researchers, educators, and professionals who need quick, accurate summaries of YouTube videos. It’s ideal for those looking to save time, extract key insights, or repurpose video content into concise formats for reports, studies, or social media. What does it do? The workflow automates the process of summarizing YouTube videos by extracting the transcript, analyzing the content, and generating a concise summary. It leverages AI tools to ensure accuracy and relevance, making it easier to digest lengthy videos in seconds. Why is it useful? This template saves hours of manual effort by automating video summarization, enabling users to focus on analyzing or sharing insights rather than watching entire videos. It’s particularly useful for staying updated with trends, conducting research, or creating content efficiently. How does it work? The workflow integrates with YouTube’s Transcript API powered by Apify Actor to fetch video transcripts, process the text using AI-powered summarization tools, and deliver a clear, concise summary. Setup Instructions You need an Apify account and an API key to connect with the Actor. Follow the steps below: Create a Free Account. Choose the appropriate Actor from the Apify search. Under the Integration tab, click on “Use API endpoints.” Select the API that best suits your needs.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This automation template is designed for content curators, marketers, and anyone looking to supercharge their content sharing strategy. It transforms any web article, blog post, or news link into a series of platform-specific social media posts, generated by AI. It also captures a live screenshot of the webpage to use as the post image, automating the entire process of publishing them across X (Twitter), LinkedIn, Threads, and Reddit. Note: The default example is configured to share n8n templates, but this workflow can promote any web page, article, or news story. Just change the URL! The upload-post node only works for self-hosted n8n instances, but you can use the standard http node for uploading the content* Who Is This For? Content Curators & Marketers:** Effortlessly share valuable industry news and articles with tailored messages and visuals for each audience. Social Media Managers:** Keep your social feeds consistently active with relevant, high-quality content without the manual overhead. Community Builders & Brand Evangelists:** Quickly disseminate product updates, tutorials, and blog posts to your community on all relevant platforms. Professionals & Thought Leaders:** Build your personal brand by easily sharing insightful articles with automated visuals, adding your unique perspective. What Problem Does This Workflow Solve? Sharing a single piece of content across multiple social platforms is tedious. You need to manually write unique posts, create visuals, and then publish everything. This workflow addresses these challenges by: Automating Content Creation:** Uses a powerful AI agent (Google Gemini) to read any URL and write compelling, unique posts for each social network. Generating Visuals Automatically:** Captures a high-quality screenshot of the source webpage to use as a visually appealing image in your posts, increasing engagement. Ensuring Platform-Specific Tone:** The AI is instructed to generate professional posts for LinkedIn, concise threads for X, conversational updates for Threads, and community-focused posts for Reddit. One-Click Distribution:** Takes a single URL as input and handles the entire content creation and sharing process across multiple platforms automatically. How It Works Input a URL: In the "Set Input Data" node, simply paste the URL of the article or page you want to share. AI Analysis & Generation: The workflow sends the URL to the AI agent, which scrapes the content and generates four distinct, ready-to-publish posts. Screenshot Generation: At the same time, it uses the ScreenshotOne service to capture a high-quality image of the provided URL. Cross-Platform Publishing: The generated content and the screenshot are automatically sent to the corresponding nodes to be posted on X, LinkedIn, and Threads, while the text-only version is sent to Reddit. Setup AI Model Credentials: Add your Google Gemini API key to the Google Gemini Chat Model node to power the AI agent. Screenshot Service (ScreenshotOne): The workflow uses ScreenshotOne to generate images for your posts. Create a free account at screenshotone.com to get your own API key. The free plan includes 100 screenshots per month. In the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes, go to the Photos parameter (under Additional Fields) and replace the existing access_key in the URL with your own. Upload-Post Account: This workflow uses upload-post.com for multi-platform posting. Create a free account at upload-post.com to get your API Token and User ID. Add the credentials in the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes. Reddit Credentials: Connect your Reddit account using OAuth2 in the Reddit node to enable posting. Customize the AI: (Optional) Edit the prompt in the Social Media Agent node to match your content. The default prompt is optimized for sharing n8n templates, but you can easily adapt it for any topic to fit your brand's voice and style. Requirements Accounts:** n8n, Google (for Gemini API), ScreenshotOne, upload-post.com, Reddit. API Keys & Credentials:** Google Gemini API Key, ScreenshotOne API Key, Upload-post.com API Token & User ID, Reddit OAuth2 credentials. Use this template to become a content-sharing powerhouse, saving hours of work while increasing your reach and engagement across the web.

📝 Sync MySQL Rows to Google Sheet Description: This n8n template automates the process of syncing new records from a MySQL database table into a Google Sheet, ideal for reporting, backup, or lightweight dashboards. It is designed for teams or individuals who need to periodically export new data rows from a custom database (e.g., CRM, registrations, surveys) into a structured Google Sheet for further analysis, sharing, or archiving—without duplicates. 🛠️ What This Workflow Does: Runs every 15 minutes** via a schedule trigger. Selects unsynced rows** (sync = 0) from a MySQL table (fifa25_customers). Checks if records exist** to prevent unnecessary writes. Appends records to a Google Sheet**, mapping fields like name, email, phone, gender, and more. Updates the MySQL table** to mark those rows as synced (sync = 1) to avoid reprocessing. Fully annotated using sticky notes for easier understanding and onboarding. 📋 Setup Instructions: Create or select a Google Sheet and make sure the columns match the following: id, name, phone, birthdate, email, region, gender, datatime Ensure your MySQL table (fifa25_customers) has a sync column (default = 0 for new rows). Connect your MySQL and Google Sheets credentials inside n8n. (Optional): Add custom filtering or column transformations as needed. 👤 Who Is It For? Marketers syncing leads to a spreadsheet Ops teams pulling user data from internal tools Analysts logging form submissions or customer data Anyone needing lightweight scheduled ETL from MySQL to Sheets 🔐 Credentials Required: MySQL** Google Sheets OAuth2** ✅ Best Practices Followed: Uses IF node to prevent unnecessary processing Updates source database to avoid duplicates Includes sticky notes for clarity All columns are explicitly mapped Works out-of-the-box on any n8n instance with proper creds

This n8n template demonstrates how to add a document conversion process to incoming Word documents in a OneDrive folder. Documents are converted to PDF and emailed to a reviewer. Use cases would be environments where incoming documents are dropped into cloud storage and a human needs to review them. By converting to PDF, it becomes easier to read in a consistent format in the browser. How it works Listen for new files added in a OneDrive folder, identified by an ID Download the bits of the new document if the file was a Micrsoft Word document (the API I'm using can convert any Office document, but wanted to start simple) Upload to Foxit's API service, convert to PDF, and download when done Use GMail to mail the PDF to a human reviewer. How to use You'll need to determine a OneDrive folder ID to monitor, or select an entire account instead, just be careful when testing. When the workflow is done, it emails to myself, so please connect your own GMail and set a preferred email address for testing. Requirements A Microsoft OneDrive account Foxit developer account (https://developer-api.foxit.com) A Gmail account At least one Word document - we all have that, right? Next Steps This workflow could be modified to work with any Office style document, and could also upload the PDF version back to OneDrive.

🎥 Summarize YouTube Videos using SearchApi & LLM Who is this for? This workflow is ideal for content creators, students, digital marketers, educators, and researchers who want to quickly summarize YouTube videos. What problem does this workflow solve? Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using SearchApi.io and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing. What this workflow does Fetches the complete transcript of a YouTube video using SearchApi. Combines the retrieved transcript into a single, continuous text. Utilizes a Summarization Chain with an LLM (e.g., OpenRouter models) to create a concise summary of the video content. Setup Install the SearchApi community node: Open Settings → Community Nodes inside your self‑hosted n8n instance. Fill npm Package Name with @searchapi/n8n-nodes-searchapi. Accept the risk prompt, and hit Install. It should now appear as a node when you search for it. API Configuration: Set up your SearchApi.io credentials in n8n. Add your preferred LLM provider credentials (e.g., OpenRouter API). Input Requirements: Provide the YouTube video ID (e.g., wBuULAoJxok). Connect LLM Integration: Configure the summarization chain with your chosen model and parameters for text splitting. How to customize this workflow to meet your needs Adjust the summarization model or modify text-splitter parameters to accommodate different lengths and complexities of video transcripts. Integrate additional nodes to export summaries directly into your preferred tools, such as Google Drive, Slack, or email. Customize prompt templates in the summarization chain to obtain various summary styles (bullet points, paragraphs, etc.). Modify the trigger to suit your workflow. Example Usage Input: YouTube video ID (wBuULAoJxok). Output: A concise, actionable summary that highlights key ideas, recommendations, and insights from the video.

The Problem 😫 Tired of manually logging every coffee and cab ride? Stop wrestling with spreadsheets! This template automates your expense tracking so you can manage your finances effortlessly. It's perfect for freelancers, small business owners, and anyone who wants a simple, chat-based way to track spending. How It Works ✨ Just send a message to your personal Telegram bot like "5 usd for coffee with my card" and this workflow will automatically: 📲 Get your message from Telegram. 🤖 Use AI to understand the amount, category, currency, and payment method. 💱 Convert currencies automatically using live exchange rates. ✍️ Log everything neatly into a new row in your Google Sheet. 🛠️ Quick Setup Guide Google Sheets 📝 Create a new Google Sheet. Make sure your first row has these exact column names: date, amount, category, description, user_id, payment_method, currency, exchange_rate, amount_converted Copy the Sheet ID from the browser's URL bar. Telegram Bot 🤖 Chat with @BotFather on Telegram, use the /newbot command, and get your API Token. Chat with @userinfobot to get your personal Chat ID. n8n Workflow 🔗 Add your credentials for Google Sheets, Telegram, and your AI model. Paste your Chat ID into the Telegram Trigger node. Paste your Sheet ID into the Append row in sheet node. Activate the workflow and start tracking! ✅

Using the knowledge graphs instead of RAG vector stores This workflow creates an AI chatbot agent that has access to several knowledge bases at the same time (used as "experts"). These knowledge bases are provided using the InfraNodus GraphRAG using the knowledge graphs and providing high-quality responses without the need to set up complex RAG vector store workflows. The advantages of using GraphRAG instead of the standard vector stores for knowledge are: Easy and quick to set up (no complex data import workflows needed) A knowledge graph has a holistic view of your knowledge base Better retrieval of relations between the document chunks = higher quality responses How it works This template uses the n8n AI agent node as an orchestrating agent that decides which tool (knowledge graph) to use based on the user's prompt. Here's a description step by step: The user submits a question using the AI chatbot (n8n interface, in this case, which can be accessed via a URL or embedded to any website) The AI agent node checks a list of tools it has access to. Each tool has a description of the knowledge it has auto-generated by InfraNodus. The AI agent decides which tool should be used to generate a response. It may reformulate user's query to be more suitable for the expert. The query is then sent to the InfraNodus HTTP node endpoint, which will query the graph that corresponds to that expert. Each InfraNodus GraphRAG expert provides a rich response that takes the whole context into account and provides a response from each expert (graph) along with a list of relevant statements retrieved using a combination or RAG and GraphRAG. The n8n AI Agent node integrates the responses received from the experts to produce the final answer. The final answer is sent back to the user's chat (or a webhook endpoint) How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Create a separate knowledge graph for each expert (using PDF / content import options) in InfraNodus For each graph, go to the workflow, paste the name of the graph into the body name field. Keep other settings intact or learn more about them at the InfraNodus access points page. Once you add one or more graphs as experts to your flow, add the LLM key to the OpenAI node and launch the workflow Requirements An InfraNodus account and API key An OpenAI (or any other LLM) API key Customizing this workflow You can use this same workflow with a Telegram bot, so you can interact with it using Telegram. There are many more customizations available. Check out the complete guide at https://support.noduslabs.com/hc/en-us/articles/20174217658396-Using-InfraNodus-Knowledge-Graphs-as-Experts-for-AI-Chatbot-Agents-in-n8n Also check out the video tutorial with a demo:

Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and seniority level. It's ideal for prioritizing leads and understanding how well a person fits your ICP criteria. What This Automation Does Given a LinkedIn profile and an Airtop profile, it: Extracts relevant data from the person's profile Determines levels of AI interest, seniority, and technical depth Calculates an ICP score based on weighted criteria Returns the full enriched profile with the score Input parameters: LinkedIn Profile URL** (e.g., https://linkedin.com/in/janedoe) Airtop Profile** connected to LinkedIn ICP scoring method** in the Airtop node prompt Output fields in JSON format: Full name, job title, employer, company LinkedIn URL, location, number of connections and followers, about section content and more Calculated ICP Score (out of 95) How It Works Form Trigger or Workflow Trigger: Accepts input from either a form or another workflow. Parameter Assignment: Ensures proper variable names for downstream nodes. Airtop Enrichment Tool: Extracts and scores the person based on a detailed prompt. Scoring: Uses this point system: AI Interest: beginner (5), intermediate (10), advanced (25), expert (35) Technical Depth: basic (5), intermediate (15), advanced (25), expert (35) Seniority Level: junior (5), mid-level (15), senior (25), executive (30) Output Formatting: Cleans and returns the result as JSON. Setup Requirements IMPORTANT: Enter your ICP scoring method in the prompt field of the Airtop node Airtop Profile connected to LinkedIn. Airtop API credentials configured in n8n. Optional: a front-end form to collect profile URLs and trigger the automation. Next Steps Embed in CRM**: Trigger this automation on new leads to auto-score them. Batch Process Leads**: Run it over a list of profile URLs for segmentation. Customize Scoring**: Adjust point weights based on your sales priorities. Read more about ICP Scoring with Airtop and n8n

Who is this template for? This template is designed for developers, DevOps engineers, and automation enthusiasts who want to streamline their GitLab merge request process using n8n, a low-code workflow automation tool. It eliminates manual intervention by automating the merging of GitLab branches through API calls. How it works ? Trigger the workflow: The workflow can be triggered by a webhook, a scheduled event, or a GitLab event (e.g., a new merge request is created or approved). Fetch Merge Request Details: n8n makes an API call to GitLab to retrieve merge request details. Check Merge Conditions: The workflow validates whether the merge request meets predefined conditions (e.g., approvals met, CI/CD pipelines passed). Perform the Merge: If all conditions are met, n8n sends a request to the GitLab API to merge the branch automatically. Setup Steps 1. Prerequisites An n8n instance (Self-hosted or Cloud) A GitLab personal access token with API access A GitLab repository with merge requests enabled 2. Create the n8n Workflow Set up a trigger: Choose a trigger node (Webhook, Cron, or GitLab Trigger). Fetch merge request details: Add an HTTP Request node to call GET /merge_requests/:id from GitLab API. Validate conditions: Check if the merge request has necessary approvals. Ensure CI/CD pipelines have passed. Merge the request: Use an HTTP Request node to call PUT /merge_requests/:id/merge API. 3. Test the Workflow Create a test merge request. Check if the workflow triggers and merges automatically. Debug using n8n logs if needed. 4. Deploy and Monitor Deploy the workflow in production. Use n8n’s monitoring features to track execution. This template enables seamless GitLab merge automation, improving efficiency and reducing manual work! Note: Never hard code API token or secret in your https request.

Who is this for? This template is designed for content creators, marketing teams, educators, or media managers who want to repurpose video content into written blog posts with visuals. It's ideal for anyone looking to automate the process of transforming YouTube videos into professional blog articles and custom images. What problem is this workflow solving? Creating written content from video material is time-consuming and manual. This workflow solves that by automating the entire pipeline: from detecting new YouTube video uploads to transcribing the audio, turning it into an engaging blog post, generating a matching visual, and saving both in Airtable. It saves hours of work while keeping your blog or social feed active and consistent. What this workflow does This automation listens for new YouTube videos added to a Google Drive folder, extracts the full transcript using Dumpling AI, and sends it to GPT-4o to generate a blog post and image prompt. Dumpling AI then turns the prompt into a 16:9 visual. The blog and visual are saved into Airtable for easy publishing or curation. Setup Google Drive Trigger Create a folder in Google Drive and upload your YouTube videos there. Link this folder in the "Watch Folder for New YouTube Videos" node. Enable polling every minute or adjust as needed. Download & Prepare the Video The video is downloaded and converted into base64 format by the next two nodes: Download Video File and Convert Downloaded Video to Base64. Transcription with Dumpling AI The base64 video is sent to Dumpling AI’s extract-video endpoint. You must have a Dumpling AI account and an API key with access to this endpoint: Dumpling AI Docs Generate Blog Content with GPT-4o GPT-4o takes the transcript and generates: A human-like blog post A descriptive prompt for AI image generation Make sure your OpenAI credentials are configured. Generate the Visual The prompt is passed to Dumpling AI’s generate-ai-image endpoint using model FLUX.1-pro. The result is a clean 1024x576 image. Save to Airtable Blog content is stored under the Content field in Airtable. The image prompt is also added to the Attachments column as a visual reference. Ensure Airtable base and table are preconfigured with the correct field names. How to customize this workflow to your needs Change the GPT prompt to alter the tone or format of the blog post (e.g., add bullet points or SEO tags). Modify the Dumpling AI prompt to generate different image styles. Add a scheduler or webhook trigger to run at different intervals or through other integrations. Connect this output to Ghost, Notion, or your CMS using additional nodes. 🧠 Sticky Note Summary Part 1: Transcription & Blog Prompt Watches a Google Drive folder for new video uploads. Downloads and encodes the video. Transcribes full audio with Dumpling AI. GPT-4o writes a blog post and descriptive image prompt. Part 2: Image Generation & Airtable Save Dumpling AI generates a visual from the image prompt. Blog content is saved to Airtable. The image prompt is patched into the Attachments field in the same record. ✅ Use this if you want to automate repurposing YouTube videos into blog content with zero manual work.