Browse 13,012 Workflows

By LeeWei

⚙️ Automated Viral Baby Podcast Video Generator 🧑‍💻 Author: LeeWei Overview of the n8n Workflow This n8n workflow automates the creation of viral short videos featuring AI-generated baby podcasts. It handles everything from generating unique video ideas to producing audio, images, and videos using AI tools, then uploading the final content to YouTube and tracking it in Google Sheets. The workflow includes sticky notes labeling key sections for clarity, formatted in Markdown. How it Works This workflow distills the process of creating viral baby podcast videos into a few high-level steps: Idea Generation**: Fetches existing topics from Google Sheets and uses AI to create a new, unique idea with a character (e.g., Baby Elon Musk). Content Creation**: Generates a script/title, audio via TTS, and an image via DALL-E. Video Synthesis**: Uploads assets to Hedra to produce a short video. Upload and Tracking**: Saves the video to Google Drive, uploads to YouTube, and logs details in Google Sheets. Set up Steps Setup should take about 15-30 minutes, mainly for creating accounts and credentials. Detailed descriptions are kept in the workflow's sticky notes. Since this is plug-and-play, all nodes are pre-configured—edit only the specified fields below. 🚀 Steps to Connect: OpenAI API Key Go to OpenAI and generate your API key. Paste it into the OpenAI credentials for nodes like "Audio Prompt & Title", "Image Prompt", "Idea Generator", and "Create The Image". ElevenLabs API Key Visit ElevenLabs to generate your API key. Paste it into the HTTP Header Auth credentials for the "Text to Speech" node. (Optional) Update the voice ID in the URL if you want a different voice (default: "nPczCjzI2devNBz1zQrb"). Hedra API Key Go to Hedra and generate your API key. Paste it into the HTTP Header Auth credentials for Hedra-related nodes (e.g., "Create Audio Asset (Hedra)"). (Optional) Update the AI model ID in "Create Video (Hedra)" if needed (default: "d1dd37a3-e39a-4854-a298-6510289f9cf2"). Google Drive & Sheets OAuth Set up OAuth2 credentials at Google Cloud Console with access to Drive and Sheets. Paste into the Google Drive/Sheets credentials. Duplicate the template Sheet (link in video description) and update the documentId in "Get Existing Ideas" and "Google Sheets" nodes. Create a "Baby Pods" folder in Drive and update the folderId in "Upload Video" (default: "1WemU2r1nI0xnv-3z5a2LZk2kpt1bw5Pt"). Blotato Potential Customizations Change Characters or Prompts**: Edit the system message in "Idea Generator" to add/remove characters (e.g., add "Baby Taylor Swift"). Adjust Schedule**: Modify "Schedule Trigger1" for different run times. Different TTS or Image Models**: Swap ElevenLabs/OpenAI endpoints for alternatives. Add Platforms**: Extend with nodes for Instagram Reels or TikTok uploads. Video Settings**: Tweak resolution/aspect ratio in "Create Video (Hedra)". Considerations and Improvements API Limits**: Monitor usage for OpenAI, ElevenLabs, and Hedra to avoid rate limits; add more waits if needed. Error Handling**: Add "If" nodes for failures (e.g., if video generation times out). Content Quality**: Test prompts for virality; the default focuses on controversial topics. Dependencies**: Ensure all APIs are active; Hedra may require waits for processing. Scalability**: For more videos, increase batching or parallelize idea generation. An n8n automation workflow template by LeeWei.

By Cong Nguyen

📸 What this workflow does Automatically captures a screenshot of a tech news homepage, extracts headlines into structured JSON, logs them in Google Sheets, and posts a daily trend report (7–10 bullet points) to Telegram at 07:00. Details: ApiFlash takes a cropped full-page screenshot of technewsworld.com (configurable). Gemini Vision analyzes the image and returns one strict JSON object (captured_at, source, sentiment, items[]). Code node cleans and parses JSON (removes code fences). Google Sheets stores each headline (headline, topic, highlight, sentiment). Last 3 days of entries (max 30) are aggregated. Gemini writes a concise Trend Report. Telegram sends both the screenshot and the summary. 👤 Who it’s for Editors and creators wanting automated daily news briefs. Marketing/analyst teams logging tech trends. Founders/PMs who want quick morning updates via Telegram. ✅ Requirements n8n (self-hosted or cloud). Accounts/credentials: ApiFlash (API key), Google Gemini, Google Sheets OAuth2, Telegram Bot. A Google Sheet with columns: captured_at, source, sentiment, main_headlines, topics, highlights. ⚙️ Setup Import the workflow JSON into n8n. Configure ApiFlash node with your access key and target URL. Set Telegram Bot credentials and chatId. Connect Google Sheets OAuth2 and specify documentId/sheetName. Use Gemini (gemini-1.5-flash) for JSON extraction and trend reporting. Adjust schedule (default 07:00). Test: verify JSON parse → Sheet row → trend report → Telegram message. 💡 About Margin AI Margin AI is an AI-services agency that acts as your AI Service Companion. We design intelligent, human-centric automation solutions—turning your team’s best practices into scalable workflows and tools. Industries like marketing, sales, and operations benefit from our tailored AI consulting, automation tools, and chatbot development. An n8n automation workflow template by Cong Nguyen.

By LeeWei

⚙️ Faceless YouTube Generator - Automate Faceless YouTube Shorts with AI: Generate Scripts, Videos, Audio, and Captions in Minutes! Tired of grinding out YouTube content? This n8n workflow turns AI into your personal video factory—creating engaging, faceless shorts on autopilot. Perfect for creators, marketers, or side-hustlers looking to monetize without showing your face. From script writing to final upload, it's all handled: AI-generated scripts (optimized for 20-second hooks), stunning image-to-video animations via RunwayML, immersive audio with ElevenLabs, and pro captions. Scale your channel effortlessly and watch the views (and revenue) roll in! 🧑‍💻 Author: LeeWei 🚀 How It Works • Trigger & Script Magic: Starts via Google Sheets webhook—AI crafts a punchy 213-223 character script (via Anthropic) for ~20-second shorts, ensuring viral potential. • Visuals on Autopilot: Splits scenes, generates high-quality images with OpenAI, then animates them into videos using RunwayML's Gen3a Turbo. • Audio Layering: Adds soothing background sounds and professional voice-overs (Adam voice) via ElevenLabs for that polished, immersive feel. • Final Polish & Upload: Merges everything in Creatomate, slaps on captions with Replicate, uploads to Google Drive/YouTube, and updates your sheet—ready to post! Setup takes 15-20 minutes with API keys. Plug-and-play: Import the JSON into n8n, and you're set—edit only API tokens and credentials as noted. 🚀 Steps to Connect: Google Sheets & Drive Setup Use your existing Google OAuth2 credentials in the "Google Sheets" and "Google Drive" nodes. Clone the demo sheet (ID: 1Co9tTJelYyefLLxzkoOhUBU3XuQIspBpDudtZLynW2M) and update the ID in "Update Video Status" if needed. Tweak folder IDs in "Upload to Drive" nodes for custom storage. Anthropic API Key Head to Anthropic and grab your API key. Paste it into the "Anthropic Chat Model" node credentials. OpenAI API Key Visit OpenAI for your API key. Add it to the "OpenAI Chat Model" node credentials. RunwayML API Key Sign up at RunwayML and get your token. Replace "YOUR_API_TOKEN" in the "Authorization" headers of "Generate Videos" and "Get Generated Videos" HTTP nodes. ElevenLabs API Key Go to ElevenLabs and generate your key. Swap "YOUR_API_TOKEN" in the "xi-api-key" headers of "Generate Audio (Background sound)" and "Text to Speech (Adam Voice)" nodes. Creatomate API Key Register at Creatomate for your token. Update "YOUR_API_TOKEN" in the "Authorization" header of the "Render Video with Creatomate" HTTP node. Replicate API Key Get your token from Replicate. Insert "YOUR_API_TOKEN" in the "Authorization" header of the "Add Captions - replicate" HTTP node. (Optional) YouTube Upload For direct uploads, add your Google YouTube OAuth credentials to the "Upload Video" node. An n8n automation workflow template by LeeWei.

By franck fambou

⚠️ IMPORTANT: This template requires self-hosted n8n hosting due to the use of community nodes (MCP tools). It will not work on n8n Cloud. Make sure you have access to a self-hosted n8n instance before using this template. Overview This workflow automation allows a Google Gemini-powered AI Agent to orchestrate multi-source web intelligence using MCP (Model Context Protocol) tools such as Firecrawl, Brave Search, and Apify. The system allows users to interact with the agent in natural language, which then leverages various external data collection tools, processes the results, and automatically organizes them into structured spreadsheets. With built-in memory, flexible tool execution, and conversational capabilities, this workflow acts as a multi-agent research assistant, capable of retrieving, synthesizing, and delivering actionable insights in real time. How the system works AI Agent + MCP Pipeline User Interaction A chat message is received and forwarded to the AI Agent. AI Orchestration The agent, powered by Google Gemini, decides which MCP tools to invoke based on the query. Firecrawl-MCP: Recursive web crawling and content extraction. Brave-MCP: Real-time web search with structured results. Apify-MCP: Automation of web scraping tasks with scalable execution. Memory Management A memory module stores context across conversations, ensuring multi-turn reasoning and task continuity. Spreadsheet automation Results are structured in a new, automatically created Google Spreadsheet, enriched with formatting and additional metadata. Data processing The workflow generates the spreadsheet content, updates the sheet, and improves results via HTTP requests and field edits. Delivery of results Users receive a structured and contextualized dataset ready for review, analysis, or integration into other systems. Configuration instructions Estimated setup time: 45 minutes Prerequisites Self-hosted n8n instance (v0.200.0 or higher recommended) Google Gemini API key MCP-compatible nodes (Firecrawl, Brave, Apify) configured Google Sheets credentials for spreadsheet automation Detailed configuration steps Step 1: Configuring the AI Agent AI Agent node**: Select Google Gemini as the LLM model Configure your Google Gemini API key in the n8n credentials Set the system prompt to guide the agent's behavior Connect the Simple Memory node to enable context tracking Step 2: Integrating MCP Tools Firecrawl-MCP Configuration**: Install the @n8n/n8n-nodes-firecrawl-mcp package Configure your Firecrawl API key Set crawling parameters (depth, CSS selectors) Brave-MCP configuration**: Install the @n8n/n8n-nodes-brave-mcp package Add your Brave Search API key Configure search filters (region, language, SafeSearch) Apify-MCP configuration**: Install the @n8n/n8n-nodes-apify-mcp package Configure your Apify credentials Select the appropriate actors for your use cases Step 3: Spreadsheet automation “Create Spreadsheet” node**: Configure Google Sheets authentication (OAuth2 or Service Account) Set the file name with dynamic timestamps Specify the destination folder in Google Drive “Generate Spreadsheet Content” node**: Transform the agent's outputs into tabular format Define the columns: URL, Title, Description, Source, Timestamp Configure data formatting (dates, links, metadata) “Update Spreadsheet” node**: Insert the data into the created sheet Apply automatic formatting (headers, colors, column widths) Add summary formulas if necessary Step 4: Post-processing and delivery “Data Enrichment Request” node** (formerly “HTTP Request1”): Configure optional API calls to enrich the data Add additional metadata (geolocation, sentiment, categorization) Manage errors and timeouts “Edit Fields” node**: Refine the final dataset (metadata, tags, filters) Clean and normalize the data Prepare the final response for the user Structure of generated Google Sheets Default columns | Column | Description | Type | |---------|-------------|------| | URL | Data source URL | Hyperlink | | Title | Page/resource title | Text | | Description | Description or content excerpt | Long text | | Source | MCP tool used (Brave/Firecrawl/Apify) | Text | | Timestamp | Date/time of collection | Date/Time | | Metadata | Additional data (JSON) | Text | Automatic formatting Headings**: Bold font, colored background URLs**: Formatted as clickable links Dates**: Standardized ISO 8601 format Columns**: Width automatically adjusted to content Use cases Business and enterprise Competitive analysis combining search, crawling, and structured scraping Market trend research with multi-source aggregation Automated reporting pipelines for business intelligence Research and academia Literature discovery across multiple sources Data collection for research projects Automated bibliographic extraction from online sources Engineering and development Discovery of APIs and documentation Aggregation of product information from multiple platforms Scalable structured scraping for datasets Personal productivity Automated creation of newsletters or knowledge hubs Personal research assistant compiling spreadsheets from various online data Key features Multi-source intelligence Firecrawl for deep crawling Brave for real-time search Apify for structured web scraping AI-driven orchestration Google Gemini for reasoning and tool selection Memory for multi-turn interactions Context-based adaptive workflows Structured data output Automatic spreadsheet creation Data enrichment and formatting Ready-to-use datasets for reporting Performance and scalability Handles multiple simultaneous tool calls Scalable web data extraction Real-time aggregation from multiple MCPs Security and privacy Secure authentication based on API keys Data managed in Google Sheets / n8n Configurable retention and deletion policies Technical architecture Workflow User query → AI agent (Gemini) → MCP tools (Firecrawl / Brave / Apify) → Aggregated results → Spreadsheet creation → Data processing → Results delivery Supported data types Text and metadata** from crawled web pages Search results** from Brave queries Structured data** from Apify scrapers Tabular reports** via Google Sheets Integration options Chat interfaces Web widget for conversational queries Slack/Teams chatbot integration REST API access points Data sources Websites (via Firecrawl/Apify) Search engines (via Brave) APIs (via HTTP Request enrichment) Performance specifications Query response: < 5 seconds (search tasks) Crawl capacity: Thousands of pages per run Spreadsheet automation: Real-time creation and updates Accuracy: > 90% when using combined sources Advanced configuration options Customization Set custom prompts for the AI Agent Adjust the spreadsheet schema for reporting needs Configure retries for failed tool runs Analytics and monitoring Track tool usage and costs Monitor crawl and search success rates Log queries and outputs for auditing Troubleshooting and support Timeouts:** Manually re-run failed MCP executions Data gaps:** Validate Firecrawl/Apify selectors Spreadsheet errors:** Check Google Sheets API quotas. An n8n automation workflow template by franck fambou.

By Evoort Solutions

🔍 SERP Keyword Ranking Checker with RapidAPI & Google Sheets Automate keyword SERP ranking lookups and log the data into Google Sheets using this no-code n8n workflow. Perfect for SEO professionals, digital marketers, or anyone tracking keyword visibility across regions. 🧰 Tools Used SERP Keyword Ranking Checker API – Fetch real-time keyword SERP data Google Sheets** – Log keyword data for tracking, analysis, or client reporting 📌 Workflow Overview User submits a keyword and country code via an n8n form Workflow sends a request to the SERP Keyword Ranking Checker API API response is checked: If valid data is found, it is logged to Google Sheets If no results are found, a fallback message is saved instead Optional delays added to space out operations ⚙️ Node-by-Node Breakdown 1. 🟢 Form Trigger: On form submission Accepts user input for: keyword (e.g. "labubu") country (e.g. "us") 2. 📦 Set Node: Global Storage Stores form input into variables (keyword, country) for use in API requests and logging. 3. 🌐 HTTP Request: SERP Keyword Ranking Checker Sends a POST request to the SERP Keyword Ranking Checker API with: keyword country Includes headers: x-rapidapi-host: serp-keyword-ranking-checker.p.rapidapi.com x-rapidapi-key: YOUR_RAPIDAPI_KEY 4. ⚖️ If Node: Condition Checking Checks whether the serpResults array returned by the API is non-empty. ✅ True Branch: Proceeds if valid SERP data is available. ❌ False Branch: Proceeds if no SERP data is returned (e.g., empty result). 5. ⏳ Wait Node: 5-Second Delay Adds a 5-second delay before proceeding to Google Sheets insertion. This helps control execution pace and ensures API rate limits or spreadsheet latency is handled smoothly. Used on both True and False branches for consistency. 6. 📊 Google Sheets (Success Path) Appends a new row into the selected Google Sheet with: Keyword – the submitted keyword Country – selected country code Json data – full serpResults JSON array returned by the API 💡 Ideal for tracking keyword rankings over time or populating live dashboards. 7. 📊 Google Sheets (Failure Path) Appends a fallback message into the Google Sheet when no SERP results are found. Keyword – the submitted keyword Country – selected country code Json data – "No result found. Please try another keyword..." 🔍 Helps maintain a log of unsuccessful queries for debugging or auditing. 💡 Use Cases SEO Audits** Automate keyword performance snapshots across different markets to identify opportunities and gaps. Competitor Analysis** Track keyword rankings of rival brands in real time to stay ahead of competition. Client Reporting** Feed live SERP data into dashboards or reports for transparent, real-time agency deliverables. Content Strategy** Discover which keywords surface top-ranking pages to guide content creation and optimization efforts. 🔑 How to Obtain Your API Key for SERP Keyword Ranking Checker API Sign Up or Log In Visit RapidAPI and create a free account using your email or social login. Go to the API Page Navigate to the SERP Keyword Ranking Checker APi. Subscribe to the API Click Subscribe to Test, then choose a pricing plan that fits your needs (Free, Basic, Pro). Get Your API Key After subscribing, go to the Security tab on the API page to find your X-RapidAPI-Key. Use Your API Key Add the API key to your HTTP request headers: X-RapidAPI-Key: YOUR_API_KEY Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n. An n8n automation workflow template by Evoort Solutions.

By Nabin Bhandari

WhatsApp Voice Agent with Twilio, VAPI, Google Calendar, Gmail & Supabase This workflow turns WhatsApp voice messages into an AI assistant using Twilio, VAPI, and modular MCP servers. It handles scheduling, email, and knowledge queries all by voice. 🔎 How it works WhatsApp → Twilio → VAPI A WhatsApp Business number (via TwiML app) receives a voice message. Twilio streams the audio into VAPI for processing. VAPI → n8n Webhook VAPI interprets the intent and routes the request to the correct MCP server. MCP Servers in n8n 📅 Calendar MCP → create, fetch, update, delete Google Calendar events 📧 Gmail MCP → send confirmation or reminder emails 📚 Knowledge Base MCP → query Supabase Vector Store with OpenAI embeddings n8n → VAPI → WhatsApp n8n executes the task and returns the result via VAPI back to the user. 🛠️ How to use Import this workflow into your n8n instance. Configure a Twilio WhatsApp-enabled number and connect it to a TwiML app. Point the TwiML app to your VAPI project. Add credentials for Google Calendar, Gmail, Supabase, and OpenAI in n8n. Test by sending a WhatsApp voice command like: “Book a meeting tomorrow at 3pm” “Send a confirmation email to the client” “What’s included in the AI receptionist package?” 🎨 Customisation ideas Add more MCP servers (e.g. CRM, Notion, Slack). Swap Supabase for another vector database. Extend Gmail flows with templates or multiple senders. Adjust the VAPI assistant’s tone and role to fit your brand. 📌 Requirements Twilio WhatsApp-enabled number + TwiML app (verified in WhatsApp Manager) VAPI project (assistant configured) n8n instance (Cloud or self-hosted) Google Calendar & Gmail credentials Supabase project OpenAI API key 💡 Good to know Twilio must have a verified WhatsApp Business number. VAPI handles voice infra + intent routing; n8n only executes actions. The design is modular—easy to expand with new MCP servers. Works best when tested with short, clear commands. 🚀 Use cases Hands-free scheduling with Google Calendar. Voice-triggered email confirmations & reminders. Conversational knowledge base access. Extendable to CRMs, team chat, or business workflows. 👉 With this setup, you get a scalable voice-first AI agent on WhatsApp that connects seamlessly to your business systems. An n8n automation workflow template by Nabin Bhandari.

By Kunsh

How it works Automatically monitors NIST's CVE database every hour for new vulnerabilities and uses AI to assess their relevance for bug bounty hunting, delivering actionable intelligence directly to Slack. Set up steps Get Google Gemini API key from AI Studio (free tier available) Create Slack bot with chat:write permissions Configure your target Slack channel AI filters and scores each CVE for exploitation potential What you'll get Real-time CVE intelligence with: Bug bounty relevance scoring (HIGH/MEDIUM/LOW/NONE) Actionable testing strategies for each vulnerability Slack-formatted reports with CVSS severity scores Focus on web-testable vulnerabilities only Part of "The Warden" project - perfect for security researchers who want AI-filtered, actionable CVE intelligence without the noise. An n8n automation workflow template by Kunsh.

By Rahul Joshi

Description: Keep your databases clean and reliable with this intelligent n8n workflow template! Effortlessly detect duplicate records, generate structured logs, and receive instant email updates—no manual review needed. This automation retrieves records from Google Sheets, runs a custom deduplication engine to detect duplicate entries (based on email and phone), saves detailed logs to Google Drive, and notifies your team via email. Perfect for businesses, analysts, and data teams who need to maintain clean datasets and ensure accuracy in customer or lead management systems. What This Template Does: 📊 Fetches data from Google Sheets for duplicate analysis 🧠 Identifies duplicate entries using email + phone logic 📂 Generates detailed duplication logs and saves them in Google Drive 📧 Sends automated email notifications to your team with process details 🌟 100% automated: just run the workflow and get instant results Built-in Logic Ensures: ✔️ Duplicate detection is accurate and structured ✔️ Logs are organized for easy access and auditing ✔️ Team members stay informed with timely notifications Requirements: Google Sheets containing your dataset Google Drive account for log storage SMTP/Gmail account for notifications n8n instance (self-hosted or cloud) Perfect For: Data teams maintaining large customer or lead databases Businesses ensuring accuracy in CRM records Analysts and operations teams wanting hands-free duplicate management. An n8n automation workflow template by Rahul Joshi.

By Rahul Joshi

Description: Turn raw customer feedback into actionable insights with this intelligent n8n workflow template! Automatically capture reviews from Google Sheets, run AI-driven sentiment and intent analysis, and enrich your dataset with structured insights—no manual review required. This automation connects to your feedback form responses, processes reviews with an AI model, classifies intent, evaluates sentiment, assigns a score, and generates concise summaries. The results are then parsed, merged with original customer details, and stored in a structured Google Sheet for easy tracking. Perfect for sales, product, and customer success teams looking to streamline lead qualification and feedback analysis. What This Template Does: 📊 Captures new customer feedback from Google Sheets in real time 🧠 Uses AI to classify intent (praise, complaint, suggestion, etc.) 😊 Detects sentiment (positive, neutral, negative, or mixed) 🔢 Assigns a review score (1–10) for quick lead qualification 📝 Generates short, meaningful summaries of customer reviews 📂 Saves enriched data into a structured destination sheet 🌟 100% hands-free: just let AI process and organize your feedback Built-in Logic Ensures: ✔️ Clean JSON-based AI output (intent, sentiment, score, summary) ✔️ Customer details remain tied to their feedback and insights ✔️ Final dataset is ready for reporting, CRM import, or dashboards Requirements: Google Sheets with customer feedback form responses Google Sheets account for storing enriched data Azure OpenAI (or compatible) account for AI analysis n8n instance (self-hosted or cloud) Perfect For: Sales teams qualifying leads based on review sentiment Product managers analyzing user feedback at scale Customer success teams identifying risks and opportunities Analysts turning unstructured reviews into actionable insights. An n8n automation workflow template by Rahul Joshi.

By Tegar karunia ilham

🚀 Transform Your Job Hunt with AI-Powered Telegram Bot Turn job searching into a conversational experience! This intelligent Telegram bot automatically scrapes job postings from LinkedIn, Indeed, and Monster, filters for sales & marketing positions, and delivers personalized results directly to your chat. ✨ Key Features Interactive Telegram Commands**: Simple /jobs [keyword] [location] searches Multi-Platform Scraping**: Simultaneous data collection from 3 major job boards AI-Powered Filtering**: Smart relevance detection and experience level classification Real-Time Notifications**: Instant job alerts delivered to Telegram Automated Data Storage**: Saves results to Google Sheets and Airtable Duplicate Removal**: Advanced deduplication across platforms Mobile-First Experience**: Full job search functionality through Telegram 🎯 Perfect For Sales Professionals**: Account managers, sales representatives, business development Marketing Experts**: Digital marketers, marketing managers, growth specialists Recruiters**: Streamlined candidate sourcing and job market analysis Job Seekers**: Hands-free job discovery with instant notifications 🛠️ Setup Requirements Required Credentials: Telegram Bot Token**: Create bot via @BotFather Bright Data API**: Professional web scraping service (LinkedIn/Indeed datasets) Google Sheets OAuth2**: For spreadsheet integration Airtable Token**: Database storage and management Prerequisites: n8n instance with HTTPS enabled (required for Telegram webhooks) Valid domain name with SSL certificate Basic understanding of Telegram bot commands 🔧 How It Works User Experience: Send /start to activate the bot and see available commands Use /jobs sales manager New York to search for specific positions Receive formatted job results instantly in Telegram Click "Apply Now" links to go directly to job postings All jobs automatically saved to your connected spreadsheets Behind the Scenes: Command Processing: Bot parses user input for keywords and location Parallel Scraping: Simultaneous API calls to LinkedIn, Indeed, and Monster AI Processing: Intelligent filtering, experience level detection, remote work identification Data Enhancement: Salary extraction, duplicate removal, relevance scoring Multi-Format Storage: Automatic saving to Google Sheets, Airtable, and JSON export Real-Time Response: Formatted results delivered back to Telegram chat 🎨 Telegram Bot Commands /start - Welcome message and command overview /jobs [keyword] [location] - Search for jobs (e.g., /jobs marketing manager remote) /help - Show detailed help information /status - Check bot status and recent activity 📊 Sample Output The bot delivers beautifully formatted job results: 🎯 Job Search Results 🎯 Found 7 relevant opportunities Platforms: linkedin, indeed, monster Remote jobs: 3 ─────────────────── 💼 Senior Sales Manager 🏢 TechCorp Industries 📍 New York, NY 💰 $80,000 - $120,000 🌐 Remote Available 📊 senior level 🔗 Apply Now 🔒 Security & Best Practices Rate Limiting**: Built-in Telegram API compliance (30 requests/second) Error Handling**: Graceful failure recovery with user-friendly messages Input Validation**: Sanitized user input to prevent injection attacks Credential Management**: Secure API key storage using n8n credentials system HTTPS Enforcement**: Required for production Telegram webhook integration 📈 Benefits & ROI 95% Time Reduction**: Automated job discovery vs manual searching Multi-Source Coverage**: Access 3 major job platforms simultaneously Mobile Accessibility**: Search jobs anywhere using Telegram mobile app Real-Time Alerts**: Never miss new opportunities with instant notifications Data Organization**: Automatic spreadsheet management for job tracking Market Intelligence**: Comprehensive job market analysis and trends 🚀 Advanced Customization Custom Keywords**: Modify filtering logic for specific industries Location Targeting**: Adjust geographic search parameters Experience Levels**: Fine-tune senior/mid/entry level detection Additional Platforms**: Easily add more job boards via HTTP requests Notification Scheduling**: Set up periodic automated job alerts Team Integration**: Deploy for multiple users or team channels 💡 Use Cases Individual Job Seekers**: Personal job hunting assistant Recruitment Agencies**: Streamlined candidate sourcing Sales Teams**: Territory-specific opportunity monitoring Marketing Departments**: Industry trend analysis and competitor tracking Career Coaches**: Client job market research and opportunity identification Ready to revolutionize your job search? Deploy this workflow and start receiving personalized job opportunities directly in Telegram!. An n8n automation workflow template by Tegar karunia ilham.

By Jinash Rouniyar

PROBLEM Thousands of MCP Servers exist and many are updated daily, making server selection difficult for LLMs. Current approaches require manually downloading and configuring servers, limiting flexibility. When multiple servers are pre-configured, LLMs get overwhelmed and confused about which server to use for specific tasks. This template enables dynamic server selection from a live PulseMCP directory of 5000+ servers. How it works A user query goes to an LLM that decides whether to use MCP servers to fulfill a given query and provides reasoning for its decision. Next, we fetch MCP Servers from Pulse MCP API and format them as documents for reranking Now, we use Contextual AI's Reranker to score and rank all MCP Servers based on our query and instructions How to set up Sign up for a free trial of Contextual AI here to find CONTEXTUALAI_API_KEY. Click on variables option in left panel and add a new environment variable CONTEXTUALAI_API_KEY. For the baseline model, we have used GPT 4.1 mini, you can find your OpenAI API key here How to customize the workflow We use chat trigger to initate the workflow. Feel free to replace it with a webhook or other trigger as required. We use OpenAI's GPT 4.1 mini as the baseline model and reranker prompt generator. You can swap out this section to use the LLM of your choice. We fetch 5000 MCP Servers from the PulseMCP directory as a baseline number, feel free to adjust this parameter as required. We are using Contextual AI's ctxl-rerank-v2-instruct-multilingual reranker model, which can be swapped with any one of the following rerankers: 1) ctxl-rerank-v2-instruct-multilingual 2) ctxl-rerank-v2-instruct-multilingual-mini 3) ctxl-rerank-v1-instruct You can checkout this blog for more information about rerankers to learn more about them. Good to know: Contextual AI Reranker (with full MCP docs): ~$0.035/query Includes 0.035 for reranking + ~$0.0001 for OpenAI instruction generation. OpenAI Baseline: ~$0.017/query. An n8n automation workflow template by Jinash Rouniyar.

By CryptooChai

This workflow fetches the latest trending cryptocurrency searches from CoinGecko and automatically sends them to your Telegram group/channel. ✅ No account or API key required ✅ Uses CoinGecko’s free public API ✅ Sends formatted daily updates to Telegram ✅ Easy to customize schedule with a Cron node Perfect for community managers, traders, or anyone who wants to keep their Telegram group updated with the hottest crypto trends. How it works Manual Trigger (for testing) & Schedule Trigger (runs automatically at set times) Uses CoinGecko API https://api.coingecko.com/api/v3/search/trending Extracts coin name, symbol, price (if available), and market cap rank Formats into a readable Telegram message & sends the message to your configured group/channel How to use Import the workflow: Download the JSON file and import it into your n8n instance. Connect your Telegram account: Add Telegram credentials in n8n using your Bot Token. Replace the placeholder Telegram Chat ID (chatId) with your group/channel ID. Adjust schedule (optional): By default, the workflow runs at 8:30 AM and 8:30 PM IST. You can change this in the Schedule Trigger node. Activate the workflow: Once configured, activate it, and your Telegram group will start receiving daily trending coin updates. Requirements An n8n instance (self-hosted or cloud) A Telegram Bot Token (create via BotFather) Telegram Group or Channel ID where messages should be sent. An n8n automation workflow template by CryptooChai.

By Cong Nguyen

📄 What this workflow does This workflow turns a spreadsheet row into a fully formatted, media-rich WordPress article. It pulls the outline and brand context from Google Sheets/Docs, drafts the article with Anthropic or Gemini, enriches it with internal links, converts it to WordPress-ready HTML, uploads images to the WordPress Media Library, and updates your Google Sheet with links and statuses. Optionally, it can create WooCommerce products (kept disabled by default). 👤 Who is this for Content & SEO teams who publish long-form articles at scale. E-commerce teams creating product blogs/landing pages with galleries. Agencies and freelancers who want a repeatable, trackable content pipeline. Founders/marketers who want “brief → draft → images → publish” in one click. ✅ Requirements Google Sheets (content tracker with columns like Title, Query, Outline Link, Image Links, Status). Google Docs (for outline sources and saving final content). Anthropic &/or Gemini API access (drafting + transformations). WordPress site with REST API enabled (Basic/App Password auth) to upload media (and optionally create posts/products). SerpAPI key (for Google Images cover search) — optional; can be removed. (Optional) Perplexity API if you want the “read official docs once” tool for specs. ⚙️ How to set up Connect Google Sheets and select your tracking sheet/tab. Connect Google Docs (for reading the outline and saving the final article). Add Anthropic and/or Gemini credentials in n8n. Add WordPress credentials (REST API) in the HTTP Request nodes used for media upload (and product/post creation if enabled). (Optional) Add SerpAPI key for the image-cover search node. (Optional) Add Perplexity key in the Sonar node if you’ll parse official docs/specs. Publish/enable the Webhook (or your trigger), then test with a sample row (Status Writing = “Run”). 🔁 How it works Trigger → Get Info (Sheets): Picks the next row marked to run and sets “Processing.” Fetch Outline (Docs): Opens the outline link from the sheet. Content Outline Generator & On-page (Anthropic/Gemini): Writes the article using brand context, E-E-A-T rules, and (optionally) reads official docs once via Perplexity Sonar. Previous Posts → Aggregate → Add Internal Links (Gemini): Loads summaries/keywords of prior posts and injects at least 5 high-relevance internal links into the draft. HTML Version: Converts the draft to strict WordPress-ready HTML (H1–H4, justified paragraphs, links, lists, blockquotes). Post image to WordPress (sub-flow) Image Covers (SerpAPI): Finds a cover image by query. Google Sheets + Code: Parses Image Links and Product Image columns; converts Google Drive shares into direct downloads. Split & HTTP Requests: Downloads each image and uploads to WordPress Media Library. Aggregate + Code: Builds an HTML gallery snippet from uploaded URLs. Update Google Doc: Inserts the final article content into a Google Doc and stores the link. Merge → Update Status to Sheet: Writes back Content Final, Outline Link, statuses (Draft/Complete), and any media links. (Optional) Create WooCommerce Product: Disabled by default—enable if you want automatic product creation using the article HTML and gallery. 💡 About Margin AI Margin AI is an AI-services agency that acts as your AI Service Companion. We design intelligent, human-centric automation solutions—turning your team’s best practices into scalable workflows and tools. Industries like marketing, sales, and operations benefit from our tailored AI consulting, automation tools, and chatbot development. An n8n automation workflow template by Cong Nguyen.

By Ezema Kingsley Chibuzo

📌 Overview This n8n-powered workflow automates the entire lifecycle of lead generation and email workflows/campaign. It combines six specialized workflows into one seamless system that scrapes fresh leads, sends personalized emails, tracks engagements, detects replies, classifies responses, handles follow-ups, and keeps a live CRM updated — all in one loop. Designed for B2B cold outreach and follow-up nurturing, this system integrates with Apify, Google Sheets, SendGrid, Gmail, and OpenAI for AI summarization and real-time alerts. 🧠 What It Does This workflow automates the entire lifecycle of B2B cold campaign. It: Scrapes targeted leads directly from Google Maps (via Apify). Extracts verified emails from business websites with anti-blocking safeguards. Stores everything in a centralized Google Sheets CRM. Sends personalized emails via SendGrid, with unique embedded IDs for tracking. Tracks delivery, opens, clicks, and bounces in real time through webhook events. Detects replies from Gmail, matches them to the right campaign stage, and updates the CRM. Uses AI classification to label replies (Interested, Not Interested, Miscellaneous). Routes qualified replies directly to your sales team or Slack/Telegram channel. Automates follow-up emails (5-day & 10-day intervals) for non-responders. Provides light analytics & reporting in Google Sheets for quick insights (with deeper logs available in SendGrid). 💡 Why This Workflow All-in-One Solution**: Instead of juggling multiple tools, this workflow handles lead gen, outreach, tracking, and CRM updates in one place. Smart Reply Handling**: Never lose a lead — every reply is tracked, classified, and routed intelligently. Scalable & Modular**: Each workflow (lead gen, email sending, webhook, replies, routing, follow-ups) can run independently or as part of the full system. Time-Saving: Reduces manual lead collection, email follow-up, and CRM updating by **90%+. Client-Ready**: Built with reliability in mind — randomized delays, duplicate prevention, priority logic for status updates, and AI-powered classification. 👤 Who It’s For This workflow is ideal for: Agencies** running cold campaigns for clients. B2B Businesses** looking to automate lead generation and follow-ups. Freelancers / Consultants** who need a plug-and-play outreach system without expensive SaaS subscriptions. Sales Teams** that want structured, real-time leads routed directly to their inbox or Slack. Startups** who want a scalable, low-cost alternative to tools like Apollo, Firecrawl, Bright Data or Reply.io. ⚙️ How It Works 🧩 1. Lead Generation Workflow 🎯 Purpose Scrape fresh B2B leads from Google Maps, crawl their websites to extract verified email addresses, and upload structured, clean lead data into a Google Sheets CRM. 🛠 How It Works 1. User Input via Form Trigger The workflow begins with a form asking for: Business keyword (e.g. "Dentist") Location (e.g. "Florida") Lead limit (e.g. 50) 2. Scrape Google Maps via Apify Calls the Apify Google Maps Scraper Actor Extracts structured business data like: Business Name, Website, Phone, Category, Rating, Address. 3. Website Filtering & Normalization Filters out businesses with no website Cleans up URLs 4. Website Email Extraction Sends direct HTTP GET requests to the homepage of each business Parses the raw HTML for public-facing email addresses using regex Implements anti-blocking techniques: Random delays between requests Custom headers / User-Agent spoofing Graceful skip on failures 5. Final Filtering & Data Structuring Keeps only businesses with a valid email address Constructs lead objects with: Business Name, Category, Email, Website, Phone, Rating, Location. 6. Upload to Google Sheets CRM Pushes leads to a connected Google Sheet that acts as the system’s central CRM This CRM becomes the source for the email sending workflow 🧩 2. Send an Email Workflow 🎯 Purpose Automatically sends personalized emails to verified leads using rotating templates, embedded ID tracking, and campaign-stage tagging. 🛠 How It Works 1. Pull Active Leads from CRM Retrieves fresh leads from the Google Sheet where 2. Select a Random Template Pulls from a template library stored in a separate Google Sheet Injects lead-specific variables into placeholders like: [Business Name], [Category], [Location], etc. 3. Embed Unique Tracking ID Appends an embedded ID token to the email. This enables accurate reply source tracking across all email stages 4. Send Email via SendGrid Sends the message using SendGrid's transactional API Emails are tagged internally according to email type. 🧩 3. Webhook Event Workflow 🎯 Purpose Processes SendGrid webhook events (e.g., delivered, opened, clicked, bounced) and updates the CRM with prioritized delivery status and engagement tracking — using clean classification and smart update logic. 🛠 How It Works 1. Receive Events via Webhook Trigger Listens for real-time webhook events from SendGrid, including: delivered, bounce, deferred, processed, open, click, unsubscribe, spamreport, etc. 2. Classify Each Event Type A custom code node adds a route label: status: delivery-level events engagement: recipient interaction events others: uncategorized or unsupported 3. Switch-Based Routing Status Events**: Applies priority logic If multiple status events are received for the same lead, only the highest-priority event is stored Updates corresponding CRM fields: Engagement Events**: Detects interactions like: Opened, Clicked, Unsubscribed, Spam Reported Updates CRM fields: Opened, Clicked, Unsubscribed, Spam Reported, Engaged At Preserve first-time interaction records and avoiding regressions Others Branch**: Logs or gracefully skips events not explicitly supported 4. CRM Synchronization Merges event data with the correct lead by matching Email Ensures all updates are timestamped and consistent across systems 🧩 4. Reply Update Database Workflow 🎯 Purpose Polls Gmail inbox, extracts replies, determines their source, and logs them in both the CRM and a message tracker sheet. 🛠 How It Works 1. Poll Gmail for New Replies Uses Gmail API to fetch recent messages Filters out auto-replies, no-reply addresses, or irrelevant responses 2. Prevent Duplicate Processing Checks each message against a "Processed Message IDs" Google Sheet Skips if the message has been handled before 3. Extract Reply Metadata 4. Match to Lead & Update CRM Determines the original email stage based on ID Updates necessary fields 🧩 5. Email Routing Workflow 🎯 Purpose Uses AI to classify replies by intent (Interested, Not Interested, or Miscellaneous) and automatically routes, labels, and logs them accordingly. 🛠 How It Works 1. Receive Cleaned Reply Triggered after a set time interval 2. Classify Using AI (LangChain / OpenAI) The reply is analyzed and categorized as: Interested: wants to talk, asks for more info Not Interested: says no or unsubscribes Miscellaneous: unclear or unrelated response 3. Gmail Label Assignment Adds Gmail label based on classification 4. Handle “Interested” Replies If Interested: Adds label in Gmail Forwards message to a sales or response channel Updates Google Sheet CRM 🧩 6. Follow-Up Email Workflow 🎯 Purpose Automatically sends up to two follow-up emails to leads who showed interest (opened or clicked) but haven’t replied yet. 🛠 How It Works 1. Scheduled Execution Runs daily or at set intervals 2. Filter Leads for Follow-Up Checks that desired conditions are met: Required number of days have passed: 5 days → Follow-Up 1 10 days → Follow-Up 2 3. Choose and Personalize Template Injects lead-specific data Embeds corresponding for reply tracking 4. Send via SendGrid Message is tagged by stage Sent using the same logic as the original email 5. Update CRM Increments: Follow-Up Sent flag Follow-Up Count Follow-Up Time field ✅ Setup Requirements (Before You Start) Prepare these items to avoid interruptions during setup: 🌍 Domain DNS Access** You’ll need to add TXT/CNAME records in your registrar (GoDaddy, Namecheap, Cloudflare, etc.) to authenticate your domain with SendGrid. 📧 Domain Email Address or Single Sender Authentication (e.g., hello@yourbusiness.com)** Needed for SendGrid domain authentication (don’t use Gmail/Yahoo). This step ensures emails are not flagged as spam. Tip: If you don’t own a domain, you can use a single sender email to test, but for production you MUST authenticate a domain. 🔑 API Keys / Credentials** Apify API Key → for Google Maps scraping. SendGrid API Key → for sending emails + webhook events. Google Sheets OAuth Credentials → for CRM integration. Gmail API Credentials → for reply detection. OpenAI API Key → for AI-based reply classification. 📊 Google Sheet (CRM)** Add desired columns: Business Name, Email, Website, Phone, Category, Status, Reply, Follow-Up Count. 🌐 n8n Environment (Cloud or Self-Hosted)** Must allow Apify node installation. 🛠 How to Set It Up Open n8n (Cloud or Self-Hosted). Install Apify node before importing. Search Apify → click Install. Import the provided .json workflow file into your n8n editor. Set up the required credentials: 🔑 Apify API Key, 🔑 SendGrid API Key, 🔑 Google Sheets OAuth, 🔑 Gmail API, 🔑 OpenAI API Key. Prepare your Google Sheet (CRM). Verify column names match your workflow fields. Adjust “Get Desired Fields” node in n8n “Lead generation workflow” if you add/remove columns. Enable SendGrid Webhook Events. Go to SendGrid → Settings → Mail Settings → Event Webhook. Paste the webhook URL from your n8n “Webhook Event Workflow”. Select: Delivered, Opened, Clicked, Bounced, Unsubscribed, Spam Report. Run a test. Trigger the Lead Generation workflow → check Google Sheets for leads. Send a test email → verify delivery + engagement updates in CRM. Reply from a test inbox → confirm Gmail polling + AI classification. 📂 Additional Provided Resources. To help you get started faster, you’ll also receive: SendGrid Setup and Troubleshooting document. Two ready-to-use Google Sheets example templates** which can be modified to suit your business needs: Email Workflow DB CRM Includes: Leads Tab → structured space for scraped businesses and contact details. Email Templates Tab → pre-written templates for the main email, 1st follow-up, and 2nd follow-up (with placeholders for personalization). Analytics Tab → light reporting on sends, opens, clicks, and replies to give quick campaign insights. Processed Gmails IDs A simpler sheet designed for Gmail reply handling. Useful for tracking processed messages and avoiding duplicates while you familiarize yourself with how reply updates work. 🎨 Customization Tips Templates**: Update the Google Sheets Templates tab with your own outreach copy. Use placeholders like [Business Name], [Location], [Category] so each email feels personalized. CRM Fields: Add or remove CRM columns depending on your business needs (e.g., Industry, Revenue, Sales Owner, Notes). Just make sure the field names match in n8n’s **“Grab Desired Fields” nodes in the Lead generation workflow. Follow-Up Logic: Adjust the timing for follow-ups. Default is **5 days (Follow-Up 1) and 10 days (Follow-Up 2), but you can easily change this to 3/7/14 days or any schedule your sales process requires. Reply Routing**: Customize how AI classification works. For example, rename labels (“Hot Lead”, “Not Interested”, “Out of Scope”) and route replies differently (e.g., forward “Interested” to your sales inbox, Slack channel, or Telegram bot). Analytics & Reporting**: Expand the Google Sheets reporting tab. You can add pivot tables for deeper campaign insights. For more advanced analytics, SendGrid also keeps full logs.* Scalability**: Add proxy handling for higher-volume scraping. Switch to a database (Postgres, Supabase, MongoDB) instead of Google Sheets if managing thousands of leads. Use multiple SendGrid accounts or IP warm-up strategies for large-scale sending. Scraping Alternatives**: If you prefer not to use direct HTTP requests for email extraction, you can integrate with external scrapers like: Firecrawl – lightweight scraper for web/email extraction. Bright Data – residential proxies + scraping tools. Apify Website Scrapers – customizable actors for deep site scraping. These can plug into the workflow instead of (or alongside) the built-in email scraper. ✨ Predefined Templates vs. AI-Generated Emails By default, this workflow uses predefined templates stored in Google Sheets. This design choice was intentional, and here’s why: ✅ Reliability: Alway work, no prompt issues. ✅ Cost Savings: no API token usage. ✅ Total Control, Consistent & Customizable: You control tone and can tweak anytime. ⚡ That said, you can absolutely swap out the template system for AI-based generation if you prefer dynamic messaging. The workflow is flexible — just keep in mind the trade-offs in cost, reliability, and control. ⚡ Best approach: start with templates for stability, then add AI if you want more variety. An n8n automation workflow template by Ezema Kingsley Chibuzo.

By Dayong Huang

How it works This template creates a fully automated Twitter content system that discovers trending topics, analyzes why they're trending using AI, and posts intelligent commentary about them. The workflow uses MCP (Model Context Protocol) with the twitter154 MCP server from MCPHub to connect with Twitter APIs and leverages OpenAI GPT models to generate brand-safe, engaging content about current trends. Key Features: 🔍 Smart Trend Discovery: Automatically finds US trending topics with engagement scoring 🤖 AI-Powered Analysis: Uses GPT to explain "why it's trending" in 30-60 words 📊 Duplicate Prevention: MySQL database tracks posted trends with 3-day cooldowns 🛡️ Brand Safety: Filters out NSFW content and low-quality hashtags ⚡ Rate Limiting: Built-in delays to respect API limits 🐦 Powered by twitter154: Uses the robust "Old Bird" MCP server for comprehensive Twitter data access Set up steps Setup time: ~10 minutes Prerequisites: OpenAI API key for GPT models Twitter API access for posting MySQL database for trend tracking MCP server access**: twitter154 from aigeon-ai via MCPHub Configuration: Set up MCP integration with twitter154 server endpoint: https://api.mcphub.com/mcp/aigeon-ai-twitter154 Configure credentials for OpenAI, Twitter, and MySQL connections Set up authentication for the twitter154 MCP server (Header Auth required) Create MySQL table for keyword registry (schema provided in workflow) Test the workflow with manual execution before enabling automation Set schedule for automatic trend discovery (recommended: every 2-4 hours) MCP Server Features Used: Search Tweets**: Core functionality for trend analysis Get Trends Near Location**: Discovers trending topics by geographic region AI Tools**: Leverages sentiment analysis and topic classification capabilities Customization Options: Modify trend scoring criteria in the AI agent prompts Adjust cooldown periods in database queries Change target locale from US to other regions (WOEID configuration) Customize tweet formatting and content style Configure different MCP server endpoints if needed Perfect for: Social media managers, content creators, and businesses wanting to stay current with trending topics while maintaining consistent, intelligent posting schedules. Powered by: The twitter154 MCP server ("The Old Bird") provides robust access to Twitter data including tweets, user information, trends, and AI-powered text analysis tools. An n8n automation workflow template by Dayong Huang.

By Harry Siggins

This n8n template automatically processes your industry newsletters and creates AI-powered intelligence briefs that filter signal from noise. Perfect for busy professionals who need to stay informed without information overload, it delivers structured insights directly to Slack while optionally saving content questions to Notion. Who's it for Busy executives, product managers, and content creators at growing companies who subscribe to multiple industry newsletters but lack time to read them all. Ideal for teams that need to spot trends, generate content ideas, and share curated insights without drowning in information. How it works The workflow runs daily to fetch labeled emails from Gmail, combines all newsletter content, and sends it to an AI agent for intelligent analysis. The AI filters developments through your specific business lens, identifies only operationally relevant insights, and generates thought-provoking questions for content creation. Results are formatted as rich Slack messages using Block Kit, with optional Notion integration for tracking content ideas. Requirements Gmail account with newsletter labeling system OpenRouter API key for AI analysis (costs approximately $0.01-0.05 per run) or API key for a specific LLM Slack workspace with bot permissions for message posting Notion account with database setup (optional, for content question tracking) Perplexity API key (optional, for additional AI research capabilities) How to set up 1 Connect your Gmail, OpenRouter, and Slack credentials through n8n's secure credential system. Create a Gmail label for newsletters you want analyzed and setup in the "Get Labeled Newsletters" node. Update the Slack channel ID in the "Send to Slack" node. The template comes pre-configured with sample settings for tech companies, so you can run it immediately after credential setup. How to customize the workflow Edit the "Configuration" node to match your industry and audience - change the 13 pre-defined fields including target audience, business context, relevance filters, and content pillars. Adjust the cron expression in the trigger node for your timezone. Modify the Slack formatting code to change output appearance, or add additional destination nodes for email, Teams, or Discord. Remove Notion nodes if you only need Slack output. The AI analysis framework is fully customizable through the Configuration node, allowing you to adapt from the default tech company focus to any industry including healthcare, finance, marketing, or consulting. An n8n automation workflow template by Harry Siggins.

By SuS

Overview This workflow automatically collects the latest articles from Google News RSS feeds, cleans and deduplicates them, and stores them neatly in a Google Sheet. It runs on a set schedule (every Monday at 09:00 by default) and helps you build a fresh pool of content ideas for newsletters, blogs, or social media. What you can do with it 🔎 Research faster – pull in fresh articles from multiple RSS sources without manual searching. 🧼 Clean & normalize – extract the real article URL (instead of Google redirects), keep only the title, summary, and date. 🗑 No duplicates – filter out empty or repeated entries before they ever reach your sheet. 📊 Central storage – append all new, unique links into a Google Sheet for review or further automation. How it works Trigger – Cron starts the flow every Monday at 09:00 (you can change the schedule). RSS Read – Fetches articles from multiple Google News queries (e.g., “AI”, “AI Automation”). Merge – Combines all feed results into one list. Set (Clean URL) – Extracts the real URL, title, summary, and publication date. Filter – Ensures only items with a valid title and URL continue. Unique by URL – Removes duplicate articles across feeds. Google Sheets Append – Saves new links into your chosen Sheet for review and later use. Setup Instructions Import workflow into your n8n instance. Update RSS feeds: Replace the example Google News RSS URLs (AI, AI Automation) with your own queries. Format: https://news.google.com/rss/search?q=YOUR_QUERY&hl=de&gl=DE&ceid=DE:de Connect Google Sheets: Add your Google Sheets credentials. Select the documentId (the spreadsheet) and sheetName (the tab) in the Append new Links node. Recommended columns: date, title, url, summary. Adjust schedule: In the Trigger: Montag 09:00 node, change the cron expression to daily or multiple times per day if you want. Run test: Execute once manually. Check your sheet for the first rows. Tips & Extensions ✅ Add more RSS Read nodes for additional sources (blogs, media outlets, niche topics). ✅ Chain this workflow with an AI node (OpenAI/GPT) to automatically generate post ideas from the collected articles. ✅ Notify yourself in Slack/Telegram when new articles are added. ✅ Use a status column (Draft, Approved, Posted) to manage a simple content pipeline directly from the sheet. 👉 With this template you’ll never run out of content ideas – everything flows into one place, ready to inspire your next posts, newsletters, or campaigns. An n8n automation workflow template by SuS.

By inderjeet Bhambra

Who's it for Content creators, trainers, and educators who need to convert lengthy documents into digestible micro-learning experiences. How it works This workflow takes your source content (PDFs, articles, handbooks) and uses GPT-4 to intelligently break it into 2-3 minute learning modules. Each module includes a key concept, explanation, practical example, and knowledge check question. How to set up Configure OpenAI credentials with GPT-4 access Connect Slack workspace (optional) Set up Google Docs integration Optionally, Send content via webhook or paste directly Requirements OpenAI API key with GPT-4 access Google Docs account (for document creation) Slack workspace (optional, for notifications) How to customize the workflow Adjust module count and length in AI prompts Modify output formats (email, mobile, Slack) Change document structure and styling Add custom delivery channels Perfect for converting employee handbooks, training materials, and documentation into engaging micro-learning courses that people actually complete. An n8n automation workflow template by inderjeet Bhambra.

By Issam AGGOUR

AI-Powered Amazon Price Tracker to Telegram Overview Automate your deal hunting with this intelligent Amazon price tracker. This workflow uses the power of AI to monitor any Amazon product page at regular intervals. When the price drops to or below your desired target, it instantly sends a notification to your Telegram chat. Say goodbye to manual price checking and never miss a sale, a lightning deal, or a Black Friday bargain again. Unlike traditional scrapers that break when a website's layout changes, this workflow uses a Large Language Model (Google Gemini) to understand the page content, making it significantly more robust and reliable. 🚀 Key Features AI-Powered Data Extraction:** Leverages Google Gemini to intelligently read the product page and extract the name and price, making it resilient to Amazon's frequent layout updates. Scheduled Automation:** Set it up once with a schedule (e.g., every hour) and let it run in the background. Instant Telegram Alerts:** Get real-time notifications directly in Telegram the moment a price drops to your target. Centralized & Easy Configuration:** A single Set node holds all your settings—product URL, target price, and Telegram Chat ID—for quick and easy updates. Built-in Error Handling:** Intelligently checks if data was extracted correctly and sends an error alert if it fails, so you're always in the loop. Cost-Efficient Processing:** Includes a pre-processing step to clean and simplify the page's HTML, reducing the amount of data sent to the AI and lowering potential token costs. ⚙️ How It Works The workflow follows a clear, linear process from scheduling to notification. 1. Initiation and Configuration A Schedule node triggers the workflow automatically at your chosen interval (e.g., every hour). A Set node named Config: Product & Alert acts as your control panel. Here, you define the Amazon product URL, your target price, and your Telegram Chat ID. 2. Fetch and Clean Product Page An HTTP Request node fetches the full HTML content of the Amazon product URL. A Code node then cleans this raw HTML. It strips out unnecessary scripts, styles, and tags, leaving only the core text content. This crucial step makes the data easier for the AI to analyze accurately and efficiently. 3. AI-Powered Data Extraction An AI Agent node sends the cleaned text to the Google Gemini model. It uses a specific prompt to ask the AI to identify and extract the product's name (productName) and its current price (priceValue) as a number. A Structured Output Parser ensures the AI returns the data in a clean, predictable JSON format (e.g., {"productName": "...", "priceValue": 49.99}), which is essential for the next steps. 4. Validate and Compare Price An IF node first validates the AI's output, checking if a valid price was successfully extracted. If not, it routes the workflow to send an error message. If the data is valid, a second IF node compares the extracted priceValue with your priceTarget from the configuration node. 5. Prepare and Send Telegram Notification If the current price is less than or equal to your target price, the workflow proceeds down the "true" path. A Set node constructs a formatted, user-friendly success message including the product name, the new low price, and a direct link to the product page. Finally, a Telegram node sends this prepared message to your specified Chat ID. If an error occurred at any stage, a corresponding error message is sent instead. 🛠️ Setup Steps & Credentials To get this workflow running, you'll need to configure the following: Google Gemini: You need a Google AI (Gemini) API Key. Create a Google Gemini(PaLM) Api credential in n8n. Assign this credential to the Google Gemini Chat Model node. Telegram: You need a Telegram Bot Token. Get one by talking to the @BotFather on Telegram. You also need your personal Chat ID. You can get this from a bot like @userinfobot. Create a Telegram credential in n8n with your Bot Token. Assign this credential to both the Send Success and Send Error Telegram nodes. Workflow Configuration: Open the Config: Product & Alert node. Replace the placeholder values: telegramChatId: Paste your Telegram Chat ID. amazonUrl: Paste the full URL of the Amazon product you want to track. priceTarget: Set your desired price (e.g., 49.99). Once configured, save the workflow and activate it using the toggle in the top-right corner. 💡 Customization & Learning This workflow is a powerful template that you can easily adapt and expand: Track Multiple Products:** Modify the workflow to read product URLs and target prices from a Google Sheet or Airtable base to monitor many items at once. Add More Notification Channels:** Duplicate the Telegram node and add Discord, Slack, or Email nodes to receive alerts on multiple platforms. Store Price History:** Connect a Google Sheets, Airtable, or database node after the AI extraction step to log the price of the product over time, creating a historical price chart. Switch AI Models:** Easily swap the Google Gemini node for an OpenAI or Anthropic model by adjusting the prompt and credentials. An n8n automation workflow template by Issam AGGOUR.

By Ivan Maksiuta

What this template does Automates posting to Facebook Groups via Airtop browser automation. Reads group links from Google Sheets, opens each group in a logged-in Airtop profile, types your prepared message, and submits with human-like delays. The message text is sent from your Telegram bot, so you can provide content directly in Telegram and it will be published to the selected groups. How it works Telegram Trigger** starts the run. Google Sheets — Get Group List** reads rows with the link column (Facebook Group URL). Airtop — Start Browser → Create a window** opens Facebook in a persistent profile. For each row: Load a page visits the group link. Scroll / Click / Type text fills the composer. Wait nodes add delays for realistic behavior. Loop Over Items** controls batching and session termination. Requirements n8n v1.105+ Airtop** profile logged into Facebook Google Sheet** with a link column Telegram bot** credentials stored in n8n (no secrets in nodes) Setup steps Import the JSON template. Open Google Sheets node → pick your spreadsheet and sheet with link. Configure Telegram Trigger with your bot credentials. In Airtop — Start Browser, set profileName to your prepared FB profile. The Type text node automatically uses the message you send to your Telegram bot (no need to hardcode it). Tune Wait nodes (1–5s between actions; longer if needed). Test on one group before scaling. Safety & compliance No hardcoded API keys** in HTTP nodes. Follow Facebook Terms: avoid spam, rotate content, throttle frequency. Post only where you have permission. Keep credentials in n8n’s Credentials storage. Troubleshooting Composer not found** → adjust the element description/selector in Airtop nodes. Slow loads** → increase Wait durations. No rows** → verify sheet selection and the link column name. Access issues** → ensure your Airtop profile is logged in and allowed to post. An n8n automation workflow template by Ivan Maksiuta.

By franck fambou

Overview This advanced automation workflow enables deep web scraping combined with Retrieval-Augmented Generation (RAG) to transform websites into intelligent, queryable knowledge bases. The system recursively crawls target websites, extracts content, and indexes all data in a vector database for AI conversational access. How the system works Intelligent Web Scraping and RAG Pipeline Recursive Web Scraper - Automatically crawls every accessible page of a target website Data Extraction - Collects text, metadata, emails, links, and PDF documents Supabase Integration - Stores content in PostgreSQL tables for scalability RAG Vectorization - Generates embeddings and stores them for semantic search AI Query Layer - Connects embeddings to an AI chat engine with citations Error Handling - Automatically retriggers failed queries Setup Instructions Estimated setup time: 30-45 minutes Prerequisites Self-hosted n8n instance (v0.200.0 or higher) Supabase account and project (PostgreSQL enabled) OpenAI/Gemini/Claude API key for embeddings and chat Optional: External vector database (Pinecone, Qdrant) Detailed configuration steps Step 1: Supabase configuration Project creation**: New Supabase project with PostgreSQL enabled Generating credentials**: API keys (anon key and service_role key) and connection string Security configuration**: RLS policies according to your access requirements Step 2: Connect Supabase to n8n Configure Supabase node**: Add credentials to n8n Credentials Test connection**: Verify with a simple query Configure PostgreSQL**: Direct connection for advanced operations Step 3: Preparing the database Main tables**: pages: URLs, content, metadata, scraping statuses documents: Extracted and processed PDF files embeddings: Vectors for semantic search links: Link graph for navigation Management functions**: Scripts to reactivate failed URLs and manage retries Step 4: Configuring automation Recursive scraper**: Starting URL, crawling depth, CSS selectors HTTP extraction**: User-Agent, headers, timeouts, and retry policies Supabase backup**: Batch insertion, data validation, duplicate management Step 5: Error handling and re-executions Failure monitoring**: Automatic detection of failed URLs Manual triggers**: Selective re-execution by domain or date Recovery sub-streams**: Retry logic with exponential backoff Step 6: RAG processing Embedding generation**: Text-embedding models with intelligent chunking Vector storage**: Supabase pgvector or external database Conversational engine**: Connection to chat models with source citations Data structure Main Supabase tables | Table | Content | Usage | |-------|---------|-------| | pages | URLs, HTML content, metadata | Main storage for scraped content | | documents | PDF files, extracted text | Downloaded and processed documents | | embeddings | Vectors, text chunks | Semantic search and RAG | | links | Link graph, navigation | Relationships between pages | Use cases Business and enterprise Competitive intelligence with conversational querying Market research from complex web domains Compliance monitoring and regulatory watch Research and academia Literature extraction with semantic search Building datasets from fragmented sources Legal and technical Scraping legal repositories with intelligent queries Technical documentation transformed into a conversational assistant Key features Advanced scraping Recursive crawling with automatic link discovery Multi-format extraction (HTML, PDF, emails) Intelligent error handling and retry Intelligent RAG Contextual embeddings for semantic search Multi-document queries with citations Intuitive conversational interface Performance and scalability Processing of thousands of pages per execution Embedding cache for fast responses Scalable architecture with Supabase Technical Architecture Main flow: Target URL → Recursive scraping → Content extraction → Supabase storage → Vectorization → Conversational interface Supported types: HTML pages, PDF documents, metadata, links, emails Performance specifications Capacity**: 10,000+ pages per run Response time**: < 5 seconds for RAG queries Accuracy**: >90% relevance for specific domains Scalability**: Distributed architecture via Supabase Advanced configuration Customization Crawling depth and scope controls Domain and content type filters Chunking settings to optimize RAG Monitoring Real-time monitoring in Supabase Cost and performance metrics Detailed conversation logs. An n8n automation workflow template by franck fambou.

By Yassin Zehar

Description Automated workflow that creates Jira issues directly from Streamlit form submissions. Receives webhook data, validates and transforms it to Jira's API schema, creates the issue, and returns the ticket details to the frontend application. Context Bridges the gap between lightweight Streamlit prototypes and enterprise Jira workflows. Enables rapid ticket creation while maintaining Jira as the authoritative source of truth. Includes safety mechanisms to prevent duplicate submissions and malformed requests. Target Users Product Managers building internal request portals. Engineering Managers creating demo applications. Teams requiring instant Jira integration without complex UI development. Project Manager using Jira pour mangement and reporting. Organizations wanting controlled ticket creation without exposing Jira directly. Technical Requirements n8n instance (cloud or self-hosted) with webhook capabilities Jira Cloud project with API token and issue creation permissions Streamlit application configured to POST to n8n webhook endpoint Optional: Custom field IDs for Story Points (typically customfield_10016) Workflow Steps Webhook Trigger - Receives POST from Streamlit with ticket payload. Deduplication Guard - Filters out ping requests and rapid duplicate submissions. Data Validation - Ensures required fields are present and properly formatted. Schema Transformation - Maps Streamlit fields to Jira API structure. Jira API Call - Creates issue via REST API with error handling. Response Formation - Returns success status with issue key and URL. Key Features Duplicate submission prevention. Rich text description formatting for Jira. Configurable priority and issue type mapping. Story points integration for agile workflows. Comprehensive error handling and logging. Clean JSON response for frontend feedback. Validation Testing Ping/test requests are ignored without creating issues. First submission creates Jira ticket with proper formatting. Rapid resubmission is blocked to prevent duplicates. All field types (priority, labels, due dates, story points) map correctly. Error responses are handled gracefully. Expected Output Valid Jira issue created in specified project JSON response: {ok: true, jiraKey: "PROJ-123", url: "https://domain.atlassian.net/browse/PROJ-123"} No orphaned or duplicate tickets. Audit trail in n8n execution logs. Implementation Notes Jira Cloud requires accountId for assignee (not username). Date format must be YYYY-MM-DD for due dates. Story Points field ID varies by Jira configuration. Enable response output in HTTP node for debugging. Consider rate limiting for high-volume scenarios. Tutorial video: Watch the Youtube Tutorial video How it works ⏰ Trigger: Webhook fires when the app submits. 🧹 Guard: Ignore pings/invalid, deduplicate rapid repeats. 🧱 Prepare: Normalize to Jira’s field model (incl. Atlassian doc description). 🧾 Create: POST to /rest/api/3/issue and capture the key. 🔁 Respond: Send { ok, jiraKey, url } back to Streamlit for instant UI feedback. About me : I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin. An n8n automation workflow template by Yassin Zehar.

By AI/ML API | D1m7asis

💬 GPT-5 Powered Telegram Bot — AI/ML API + n8n This n8n workflow lets users chat with GPT-5 directly in Telegram. It simulates typing for a natural UX, sends messages to GPT-5 via AI/ML API, and replies back in the same chat. Optionally, each interaction can be logged in Google Sheets. 🚀 Features 📩 Telegram-based chat input 💬 Typing indicator before reply 🧠 High-quality AI responses via openai/gpt-5-chat-latest (AI/ML API) 📤 Replies sent back in Telegram with formatting 📝 Optional logging to Google Sheets 🔒 Secure credential handling in n8n 🛠 Setup Guide 1. 📲 Create Telegram Bot Open @BotFather Use /newbot, choose name + username Save the API token 2. 🔐 Set Up Credentials in n8n Telegram API: paste the BotFather token AI/ML API: create a key from aimlapi.com (Optional) Google Sheets: connect via OAuth2/Service Account 3. 📗 Prepare Google Sheet (optional logging) Name: e.g., GPT5 Bot Logs Sheet: Sheet1 Columns: user_id | date | query | response 4. 🔧 Configure Workflow Import the JSON into n8n Attach your credentials to the Telegram + AI/ML API nodes (Optional) update Google Sheets node with Sheet ID ⚙️ Flow Summary | Node | Function | | ------------------------------- | -------------------------------------- | | 📩 Receive Telegram Message | Trigger on user message | | 💬 Simulate Typing | Sends "typing…" action to Telegram | | 🧠 Process with GPT-5 | Calls AI/ML API with message text | | 📤 Send Response to Telegram | Replies back to user with model output | | 📝 Log Interaction (optional) | Appends log row to Google Sheets | 💡 Example User Flow User sends: What’s the capital of Japan? Bot replies after "typing…": The capital of Japan is Tokyo. Conversation continues naturally. 🧪 Testing Use a test chat with your bot Trigger via /execute workflow (not “Execute Node”) Add Set or Console nodes for debugging 📎 Resources 🔗 AI/ML API Docs 🤖 GPT-5 Models. An n8n automation workflow template by AI/ML API | D1m7asis.

By Dr. Firas

Generate AI viral videos with NanoBanana & VEO3, shared on socials via Blotato Who is this for? This workflow is designed for content creators, marketers, and entrepreneurs who want to automate their video production and social media publishing process. If you regularly post promotional or viral-style content on platforms like TikTok, YouTube Shorts, Instagram Reels, LinkedIn, and more, this template will save you hours of manual work. What problem is this workflow solving? / Use case Creating viral short-form videos is often time-consuming: You need to generate visuals, write scripts, edit videos, and then manually upload them to multiple platforms. Staying consistent across TikTok, YouTube Shorts, Instagram Reels, LinkedIn, Twitter/X, and others requires constant effort. This workflow solves the problem by automating the entire pipeline from idea → video creation → multi-platform publishing. What this workflow does Collects an idea and image from Telegram. Enhances visuals with NanoBanana for user-generated content style. Generates a complete video script with AI (OpenAI + structured prompts). Creates the final video with VEO3 using your custom prompt and visuals. Rewrites captions with GPT to be short, catchy, and optimized for social platforms. Saves metadata in Google Sheets for tracking and management. Auto-uploads the video to all major platforms via Blotato (TikTok, YouTube, Instagram, LinkedIn, Threads, Pinterest, X/Twitter, Bluesky, Facebook). Notifies you on Telegram with a preview link once publishing is complete. Setup Connect your accounts: Google Sheets (for video tracking) Telegram (to receive and send media) Blotato (for multi-platform publishing) OpenAI API (for captions, prompts, and image analysis) VEO3 API (for video rendering) Fal.ai (for NanoBanana image editing) Google Drive (to store processed images) Set your credentials in the respective nodes. Adjust the Google Sheet IDs to match your own sheet structure. Insert your Telegram bot token in the Set: Bot Token (Placeholder) node. How to customize this workflow to your needs Platforms**: Disable or enable only the Blotato social accounts you want to post to. Video style**: Adjust the master prompt schema in the Set Master Prompt node to fine-tune tone, camera style, or video format. Captions**: Modify the GPT prompt in the Rewrite Caption with GPT-4o node to control length and tone. Notifications**: Customize the Telegram nodes to notify team members, not just yourself. Scheduling**: Add a Cron trigger if you want automatic posting at specific times. ✨ With this workflow, you go from idea → AI-enhanced video → instant multi-platform publishing in just minutes, with almost no manual work. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube. An n8n automation workflow template by Dr. Firas.

By Dariusz Koryto

Get automated weather updates delivered directly to your Telegram chat at scheduled intervals. This workflow fetches current weather data from OpenWeatherMap and sends formatted weather reports via a Telegram bot. Use Cases Daily morning weather briefings Regular weather monitoring for outdoor activities Automated weather alerts for specific locations Personal weather assistant for travel planning Prerequisites Before setting up this workflow, ensure you have: An OpenWeatherMap API account (free tier available) A Telegram bot token Your Telegram chat ID n8n instance (cloud or self-hosted) Setup Instructions Step 1: Create OpenWeatherMap Account Go to OpenWeatherMap and sign up for a free account Navigate to the API keys section in your account Copy your API key (you'll need this for the workflow configuration) Step 2: Create Telegram Bot Open Telegram and search for @BotFather Start a chat and use the /newbot command Follow the prompts to create your bot and get the bot token Save the bot token securely Step 3: Get Your Telegram Chat ID Start a conversation with your newly created bot Send any message to the bot Visit https://api.telegram.org/bot<YourBOTToken>/getUpdates in your browser Look for your chat ID in the response (it will be a number like 123456789) Step 4: Configure the Workflow Import this workflow into your n8n instance Configure each node with your credentials: Schedule Trigger Node Set your preferred schedule (default: daily at 8:00 AM) Use cron expression format (e.g., 0 8 * * * for 8 AM daily) Get Weather Node Add your OpenWeatherMap credentials Update the cityName parameter to your desired location Format: "CityName,CountryCode" (e.g., "London,UK") Send a text message Node Add your Telegram bot credentials (bot token) Replace XXXXXXX in the chatId field with your actual chat ID Customization Options Location Settings In the "Get Weather" node, modify the cityName parameter to change the location. You can specify: City name only: "Paris" City with country: "Paris,FR" City with state and country: "Miami,FL,US" Schedule Frequency In the "Schedule Trigger" node, adjust the cron expression: Every 6 hours: 0 */6 * * * Twice daily (8 AM & 6 PM): 0 8,18 * * * Weekly on Mondays at 9 AM: 0 9 * * 1 Message Format In the "Format Weather" node, you can customize the message template by modifying the message variable in the function code. Current format includes: Current temperature with "feels like" temperature Min/max temperatures for the day Weather description and precipitation Wind speed and direction Cloud coverage percentage Sunrise and sunset times Language Support In the "Get Weather" node, change the language parameter to get weather descriptions in different languages: English: "en" Spanish: "es" French: "fr" German: "de" Polish: "pl" Troubleshooting Common Issues Weather data not updating: Verify your OpenWeatherMap API key is valid and active Check if you've exceeded your API rate limits Ensure the city name format is correct Messages not being sent: Confirm your Telegram bot token is correct Verify the chat ID is accurate (should be a number, not username) Make sure you've started a conversation with your bot Workflow not triggering: Check if the workflow is activated (toggle switch should be ON) Verify the cron expression syntax is correct Ensure your n8n instance is running continuously Testing the Workflow Use the "Test workflow" button to run manually Check each node's output for errors Verify the final message format in Telegram Node Descriptions Schedule Trigger Automatically starts the workflow based on a cron schedule. Runs at specified intervals to fetch fresh weather data. Get Weather Connects to OpenWeatherMap API to retrieve current weather conditions for the specified location. Format Weather Processes the raw weather data and creates a user-friendly message with emojis and organized information. Send a text message Delivers the formatted weather report to your Telegram chat using the configured bot. Additional Features You can extend this workflow by: Adding weather alerts for specific conditions (temperature thresholds, rain warnings) Including weather forecasts for multiple days Sending reports to multiple chat recipients Adding location-based emoji selection Integrating with other notification channels (email, Slack, Discord) Security Notes Keep your API keys and bot tokens secure Don't share your chat ID publicly Consider using n8n's credential system for storing sensitive information Regularly rotate your API keys for better security Special thanks to Arkadiusz, the only person who supports me in n8n mission to make automation great again. An n8n automation workflow template by Dariusz Koryto.

By Dariusz Koryto

Google Drive to FTP Transfer Workflow - Setup Guide Overview This n8n workflow automatically transfers files from Google Drive to an FTP server on a scheduled basis. It includes comprehensive logging, email notifications, and error handling. Features Automated Scheduling**: Runs every 6 hours (customizable) Manual Trigger**: Webhook endpoint for on-demand transfers File Filtering**: Supports specific file types and size limits Comprehensive Logging**: Detailed transfer reports saved to Google Drive Email Notifications**: HTML reports sent after each run Error Handling**: Graceful handling of failed transfers Batch Processing**: Files processed individually to prevent rate limits Prerequisites Before setting up this workflow, ensure you have: n8n instance running (self-hosted or cloud) Google Drive account with files to transfer FTP server with upload permissions Email service for sending reports (SMTP) Step-by-Step Setup Instructions 1. Google Drive API Setup 1.1 Create Google Cloud Project Go to Google Cloud Console Create a new project or select existing one Enable the Google Drive API: Navigate to "APIs & Services" → "Library" Search for "Google Drive API" Click "Enable" 1.2 Create OAuth2 Credentials Go to "APIs & Services" → "Credentials" Click "Create Credentials" → "OAuth client ID" Configure consent screen if prompted Choose "Web application" as application type Add your n8n instance URL to authorized redirect URIs: https://your-n8n-instance.com/rest/oauth2-credential/callback Note down the Client ID and Client Secret 1.3 Configure n8n Credential In n8n, go to "Credentials" → "Add Credential" Select "Google Drive OAuth2 API" Enter your Client ID and Client Secret Complete OAuth flow by clicking "Connect my account" Set credential ID as: your-google-drive-credentials-id 2. FTP Server Setup 2.1 FTP Server Requirements Ensure FTP server is accessible from your n8n instance Verify you have upload permissions Note the server details: Host/IP address Port (usually 21 for FTP) Username and password Destination directory path 2.2 Configure n8n FTP Credential In n8n, go to "Credentials" → "Add Credential" Select "FTP" Enter your FTP server details: Host: your-ftp-server.com Port: 21 (or your custom port) Username: your-ftp-username Password: your-ftp-password Set credential ID as: your-ftp-credentials-id 3. Email Setup (SMTP) 3.1 Choose Email Provider Configure SMTP settings for one of these providers: Gmail**: smtp.gmail.com, port 587, use App Password Outlook**: smtp-mail.outlook.com, port 587 Custom SMTP**: Your organization's SMTP server 3.2 Configure n8n Email Credential In n8n, go to "Credentials" → "Add Credential" Select "SMTP" Enter your SMTP details: Host: smtp.gmail.com (or your provider) Port: 587 Security: STARTTLS Username: your-email@example.com Password: your-app-password Set credential ID as: your-email-credentials-id 4. Workflow Configuration 4.1 Import Workflow Copy the workflow JSON from the artifact above In n8n, click "Import from JSON" Paste the workflow JSON and import 4.2 Update Credential References Google Drive nodes: Verify credential ID matches your-google-drive-credentials-id FTP node: Verify credential ID matches your-ftp-credentials-id Email node: Verify credential ID matches your-email-credentials-id 4.3 Customize Parameters FTP Server Settings (Upload to FTP node) { "host": "your-ftp-server.com", // Replace with your FTP host "username": "your-ftp-username", // Replace with your FTP username "password": "your-ftp-password", // Replace with your FTP password "path": "/remote/directory/{{ $json.validFiles[$json.batchIndex].name }}", // Update destination path "port": 21 // Change if using different port } Email Settings (Send Report Email node) { "sendTo": "admin@yourcompany.com", // Replace with your email address "subject": "Google Drive to FTP File Transfer - Report" } File Filter Settings (Filter & Validate Files node) In the JavaScript code, update these settings: const transferNotes = { settings: { maxFileSizeMB: 50, // Change maximum file size allowedExtensions: [ // Add/remove allowed file types '.pdf', '.doc', '.docx', '.txt', '.jpg', '.png', '.zip', '.xlsx' ], autoDeleteAfterTransfer: false, // Set to true to delete from Drive after transfer verifyTransfer: true // Keep true for verification } }; Google Drive Notes Storage (Upload Notes to Drive node) { "parents": { "parentId": "your-notes-folder-id" // Replace with actual folder ID from Google Drive } } 5. Schedule Configuration 5.1 Modify Schedule Trigger In the "Schedule Trigger" node, adjust the interval: { "rule": { "interval": [ { "field": "hours", "hoursInterval": 6 // Change to desired interval (hours) } ] } } Alternative schedule options: Daily**: "field": "days", "daysInterval": 1 Weekly**: "field": "weeks", "weeksInterval": 1 Custom cron**: Use cron expression for complex schedules 5.2 Webhook Configuration The webhook trigger is available at: POST https://your-n8n-instance.com/webhook/webhook-transfer-status Use this for manual triggers or external integrations. 6. Testing and Validation 6.1 Test Connections Test Google Drive: Run "Get Drive Files" node manually Test FTP: Upload a test file using "Upload to FTP" node Test Email: Send a test email using "Send Report Email" node 6.2 Run Test Transfer Activate the workflow Click "Execute Workflow" to run manually Monitor execution in the workflow editor Check for any error messages or failed nodes 6.3 Verify Results FTP Server**: Confirm files appear in destination directory Email**: Check you receive the transfer report Google Drive**: Verify transfer notes are saved to specified folder 7. Monitoring and Maintenance 7.1 Workflow Monitoring Execution History**: Review past runs in n8n interface Error Logs**: Check failed executions for issues Performance**: Monitor execution times and resource usage 7.2 Regular Maintenance Credential Renewal**: Google OAuth tokens may need periodic renewal Storage Cleanup**: Consider archiving old transfer notes Performance Tuning**: Adjust batch sizes or schedules based on usage 8. Troubleshooting 8.1 Common Issues Google Drive Authentication Errors: Verify OAuth2 credentials are correctly configured Check if Google Drive API is enabled Ensure redirect URI matches n8n instance URL FTP Connection Failures: Verify FTP server credentials and connectivity Check firewall settings allow FTP connections Confirm destination directory exists and has write permissions Email Delivery Issues: Verify SMTP credentials and server settings Check if email provider requires app-specific passwords Ensure sender email is authorized File Transfer Failures: Check file size limits in filter settings Verify allowed file extensions include your file types Monitor FTP server disk space 8.2 Debug Mode Enable debug mode by: Adding console.log statements in code nodes Using "Execute Workflow" with step-by-step execution Checking node outputs for data validation 9. Advanced Customizations 9.1 Additional File Filters Add custom filtering logic in the "Filter & Validate Files" node: // Example: Filter by modification date const isRecentFile = new Date(file.modifiedTime) > new Date(Date.now() - 7 * 24 * 60 * 60 * 1000); // Last 7 days // Example: Filter by folder location const isInSpecificFolder = file.parents && file.parents.includes('specific-folder-id'); 9.2 Enhanced Reporting Customize the email report template in "Send Report Email" node: 📊 File Transfer Report Summary Date: {{ new Date().toLocaleString('en-US') }} Success Rate: {{ Math.round((successfulTransfers / totalFiles) * 100) }}% 9.3 Integration with Other Services Add nodes to integrate with: Slack**: Send notifications to team channels Discord**: Post updates to Discord servers Webhook**: Trigger other workflows or systems Database**: Log transfers to MySQL, PostgreSQL, etc. 10. Security Considerations 10.1 Credential Security Use environment variables for sensitive data Regularly rotate FTP and email passwords Implement least-privilege access for service accounts 10.2 Network Security Use SFTP instead of FTP when possible Implement VPN connections for sensitive transfers Monitor network traffic for unusual patterns 10.3 Data Privacy Ensure compliance with data protection regulations Implement data retention policies for transfer logs Consider encryption for sensitive file transfers Support and Resources Documentation Links n8n Documentation Google Drive API Documentation n8n Community Forum Getting Help If you encounter issues: Check the troubleshooting section above Review n8n execution logs for error details Search the n8n community forum for similar issues Create a support ticket with detailed error information Note: Replace all placeholder values (URLs, credentials, IDs) with your actual configuration before running the workflow. An n8n automation workflow template by Dariusz Koryto.

By LukaszB

Professional AI-Powered Ad Generator Creating high-quality video ads has traditionally been one of the biggest challenges for small businesses and marketers. It usually requires a production team, editing software, and days of effort before anything is ready to publish. That makes consistency almost impossible — especially if you want to publish new ads every day. This workflow changes the process entirely. Built in n8n, the Professional AI-Powered Ad Generator combines AI and automation to handle everything from script creation to video rendering and social media publishing. The goal is simple: allow you to create and distribute short, engaging video ads in minutes, without relying on a studio, editors, or complicated tools. Why This Workflow Matters Most businesses know the importance of consistent advertising, but producing daily video content has always felt out of reach. This workflow makes it practical by: Automating creative tasks** that normally require a writer or video editor. Integrating multiple AI tools** into one connected system. Publishing directly to social media** so your ads reach people without extra steps. Instead of spending hours editing or outsourcing to agencies, you can now go from idea to published ad in the same amount of time it takes to write a short post. How It Works The process starts with a simple form where you enter your business details: name, service, offer, and call-to-action. From there, the workflow runs automatically: 1. Script Planning AI generates a short, two-part script that feels natural and relatable. Part one introduces a problem. Part two presents your business as the solution, ending with a strong CTA. 2. Video Generation with Google Veo 3 Each part of the script is turned into an 8-second cinematic video clip, visually optimized for vertical platforms. 3. Character Consistency with Google Gemini Characters are analyzed and matched across both clips, creating a smooth narrative with visual continuity. 4. Assembly with Creatomate Both clips are merged into a 16-second vertical ad, automatically formatted for TikTok, Instagram, and YouTube Shorts. 5. Automated Publishing with Postiz The final video is scheduled and posted to your connected social accounts. Captions and titles** are generated automatically. No manual uploads or extra steps. What You Gain ✅ Daily publishing at scale – Generate and release multiple ads per day. ⏱️ Time savings – Go from idea to ad in just minutes. 📈 Consistency – Maintain a professional, frequent social presence. 💰 Cost efficiency – No production crew, no software, no outsourcing. 🧩 Flexibility – Ideal for local businesses, service providers, and agencies. Honest Advantage This workflow doesn’t replace creativity — it makes it practical. You still define the message: The service The offer The story But the heavy lifting — scripting, video production, visual continuity, and publishing — is automated. You focus on ideas, while the system handles execution. Conclusion The Professional AI-Powered Ad Generator is not a promise of magic. It’s a dependable system that helps small teams and solo entrepreneurs consistently create and publish professional ads — without the usual bottlenecks. > From a simple brief to a polished, published ad — all in one automated flow. Advertising, simplified. Automation, scaled. An n8n automation workflow template by LukaszB.

By Aryan Shinde

Instagram Reel Downloader & Logger Automate Instagram Reel Downloads, Storage, and Activity Logging What does this workflow do? Handles incoming webhook requests (ideal for Instagram/Facebook API triggers). Validates the webhook via challenge-response and custom verify token. Checks for messages from yourself (filtering automated/self-triggered runs). Downloads Instagram Reels from URLs posted to the webhook. Uploads the reel to Google Drive and retrieves the download URL. Logs reel details (status, URL, and timestamp) to a Google Sheet for record-keeping. Notifies you on Telegram with the download details and Google Drive link. How does it work? Webhook: Listens for new messages/events (custom webhook endpoint for Meta). Validation: Confirms webhook subscribe/challenge and verify token from Meta API. Sender Check: Ignores messages unless they match your configured sender/recipient. Download Reel: Fetches the reel/attachment from Instagram using received URLs. Timestamp Gen: Adds a precise timestamp and ISO-based unique ID to the activity log. Upload to Drive: Saves the downloaded reel in a preset Google Drive folder. Log to Sheet: Updates a Google Sheet with the reel’s status, URL, and timestamp. Telegram Alert: Instantly notifies you when a new reel is downloaded and logged. What do I need to make this work? A registered webhook endpoint (from your Meta/Instagram app configuration). A Google Drive and Google Sheets account (OAuth2 connected to n8n). A Telegram Bot and Chat ID setup to receive download completion messages. The correct verify_token in your webhook event source matches your template (‘youtube-automation-n8n-token’ by default). Update your Drive/Sheet/Bot credentials as per your n8n instance’s environment. Why use this? Fully automates the collection and archival of Instagram Reels. Centralizes content download, backup, and activity records for your automation flows. Provides instant monitoring and archival of each event. Setup Tips: Make sure your webhook path and Meta app configuration match (/n8n-template-insta-webhook). Double-check the Google credentials and the sheet’s tab IDs/names. Replace the Telegram and Google connection credentials with your own securely. Use this as a foundation for any Instagram/Facebook-based automations in n8n, and customize as your automation stack evolves! Publish confidently, and let users know this template: Saves time, automates digital content management, and notifies users in real-time. An n8n automation workflow template by Aryan Shinde.

By Cong Nguyen

📄 What this workflow does Every 3 hours, the workflow fetches 3 random English words, asks Gemini to generate a short Vietnamese vocabulary digest (word, Vietnamese meaning, and an example sentence), and sends it to a Telegram chat. Perfect for steady, low-effort vocab exposure in groups. 👤 Who is this for English learners who want a gentle, automated learning cadence. Teachers/tutors who share daily vocab in Telegram groups. Community admins who want lightweight, useful content for members. Anyone who prefers bite-sized language learning on autopilot. ✅ Requirements Gemini API access (configured in n8n). Telegram Bot token + chat ID (the chat you want to receive messages). Internet access to Random Word API (no API key required). n8n instance with outbound HTTPS access. ⚙️ How to set up Add your Gemini credentials in n8n (the Google Gemini/PaLM node). Add your Telegram credentials and set the chatId in the “Send a text message” node. (Optional) Adjust the schedule interval (default: every 3 hours). (Optional) Change the number of words by updating the HTTP Request URL param words=3. (Optional) Edit the Gemini prompt language/content to fit your style (currently Vietnamese output). Run once to test; confirm the message arrives in Telegram. 🔁 How it works Schedule Trigger → runs every 3 hours. HTTP Request → calls random-word-api to get 3 words. Edit Fields (Set) → wraps the API response under word. Aggregate → prepares the word field for the LLM. Message a model (Gemini) → creates a Vietnamese digest: English word, Vietnamese meaning, and example sentence for each word. Send a text message (Telegram) → posts the digest to your specified chat. 💡 About Margin AI Margin AI is an AI-services agency that acts as your AI Service Companion. We design intelligent, human-centric automation solutions—turning your team’s best practices into scalable, automated workflows and tools. Industries like marketing, sales, and operations benefit from our tailored AI consulting, automation tools, chatbot development, and more. An n8n automation workflow template by Cong Nguyen.

By Dean Gallop

Trigger & Topic Extraction The workflow starts manually or from a chat/Telegram/webhook input. A “topic extractor” node scans the incoming text and cleans it (handles /topic … commands). If no topic is detected, it defaults to a sample news headline. Style & Structure Setup A style guide node defines the blog’s tone: practical, medium–low formality, clear sections, clean HTML only. It also enforces do’s (citations, links, actionable steps) and don’ts (no clickbait, no low-quality sources). Research & Drafting A GPT node generates a 1,700–1,800 word article following the style guide. Sections include: What happened, Why it matters, Opportunities/risks, Action plan, FAQ. The draft is then polished for clarity and flow. Quality Control A word count guard checks that the article is at least 1,600 words. If too short, a GPT “expand draft” node deepens the Why it matters, Risks, and Action plan sections. Image Creation The final article’s title and content are used to generate an editorial-style image prompt. Leonardo AI creates a cinematic, text-free featured image suitable for Google News/Discover. The image is uploaded to WordPress, with proper ALT text generated by GPT. Publishing to WordPress The final post (title, content, featured image) is automatically published. Sources are extracted from the article, compiled into a “Sources” section with clickable links. Posts are categorized and published immediately. An n8n automation workflow template by Dean Gallop.

By Alex Gurinovich

AI powered Automated Crypto Insights with Chart-img and BrowserAI Tired of paying for costly crypto updates? Or reading long analyses? This n8n workflow automates the delivery of personalized crypto insights, using Chart-img for capturing coin graphs of BTC, ETH, SOL, and XRP as base64 images, and BrowserAI for web scraping and information gathering of news and articles. This setup ensures thorough market coverage and timely updates, without breaking the bank. Overview Designed for crypto enthusiasts, traders, and analysts, this workflow automates the process of collecting and distributing valuable crypto information. It’s perfect for anyone wanting consistent and accurate updates conveniently. Setup Instructions Pre-conditions Chart-img Account: Register for a Chart-img account and obtain an API key here. BrowserAI Account: Sign up for BrowserAI and get your API key from your BrowserAI dashboard. Step-by-Step Setup 🗓️ Schedule and Date Calculation Triggers twice daily at 8AM and 8PM to ensure up-to-date insights, and can be changed to your like. Calculates yesterday’s date dynamically for accurate data retrieval. 📊 Coin Graph Capture with Chart-img Uses Chart-img API to capture 24-hour graphs for BTC, ETH, SOL, and XRP. Converts images to base64 strings for easy integration into analysis. 🌐 Web Scraping with BrowserAI Creates tasks in BrowserAI to gather the latest crypto news and insights. Automates data extraction for comprehensive market analysis. ⌛ Monitor and Complete Tasks Incorporates status checks to ensure BrowserAI tasks complete successfully before proceeding. ✏️ Analyze and Synthesize Information Combines graph data with web-scraped insights for an enriched summary. Uses AI to generate simple, informative descriptions under 60 words to not overload you. 📩 Deliver Insights Efficiently Sends the compiled analysis to your Telegram, with easy options to switch to WhatsApp, email, or any other communication channel. Customization Guidance Content Personalization:** Customize the datasets and keywords for tailored updates. Modify Schedule:** Adjust triggering times according to your needs using n8n’s scheduling options. This workflow delivers a seamless and cost-effective approach to staying informed about crypto market trends, combining the latest technology for superior insights. ++WARNING:++ This template is intended for personal use only and does not constitute financial advice. Any actions taken using this tool are solely the user's responsibility. An n8n automation workflow template by Alex Gurinovich.

By Sk developer

Active Job Scraper Workflow Using RapidAPI Jobs Search Realtime Data API This powerful Active Job Scraper workflow uses the RapidAPI Jobs Search Realtime Data API to fetch real-time job listings from leading job boards like Indeed, LinkedIn, ZipRecruiter, and Glassdoor. Overview Leverage the Jobs Search Realtime Data API on RapidAPI to gather fresh job data from Indeed, LinkedIn, ZipRecruiter, and Glassdoor. This n8n workflow lets you: Search jobs by location, keywords, job type, and remote options across these major platforms. Collect detailed job information including descriptions and metadata. Automatically save the scraped results into Google Sheets for easy tracking and analysis. Why Choose This Workflow? By integrating the RapidAPI Jobs Search Realtime Data API, you can scrape job listings from the most popular job sites—Indeed, LinkedIn, ZipRecruiter, and Glassdoor—all in one place. Customize your search parameters and get results tailored to your needs. Workflow Components | Node | Description | |------------------|-----------------------------------------------------------------| | Form Trigger | Collects input such as location, search term, job type, and remote status. | | HTTP Request | Calls the RapidAPI Jobs Search Realtime Data API to fetch jobs from Indeed, LinkedIn, ZipRecruiter, and Glassdoor. | | Code Node | Processes and formats the API response data. | | Google Sheets | Appends the extracted job listings to your spreadsheet. | 🔑 How to Get API Key from RapidAPI Jobs Search Realtime Data API Follow these steps to get your API key and start using it in your workflow: Visit the API Page 👉 Click here to open Jobs Search Realtime Data API on RapidAPI Log in or Sign Up Use your Google, GitHub, or email account to sign in. If you're new, complete a quick sign-up. Subscribe to a Pricing Plan Go to the Pricing tab on the API page. Select a plan (free or paid, depending on your needs). Click Subscribe. Access Your API Key Navigate to the Endpoints tab. Look for the X-RapidAPI-Key under Request Headers. Copy the value shown — this is your API key. Use the Key in Your Workflow In your n8n workflow (HTTP Request node), replace: "x-rapidapi-key": "your key" with: "x-rapidapi-key": "YOUR_ACTUAL_API_KEY". An n8n automation workflow template by Sk developer.

By Sk developer

🌐 Bulk Domain Authority (DA/PA) Checker And Google Sheet Logging Easily check Domain Authority (DA) and Page Authority (PA) for multiple domains using this automated n8n workflow powered by the Bulk DA PA Checker API on RapidAPI. Simply submit your domains via a web form, and the workflow fetches detailed SEO metrics and logs the data into Google Sheets. 🚀 What This Workflow Does This automation leverages the Bulk DA PA Checker API from RapidAPI to: Accept multiple domains via a user-friendly form Send bulk requests to the Bulk DA PA Checker API for fast SEO metric retrieval Process and reformat the API response for easy consumption Append the domain authority data directly into Google Sheets for tracking and analysis Perfect for SEO pros, marketers, and agencies looking to streamline their domain analysis with the power of RapidAPI. ⚙️ Workflow Highlights | 🧩 Node | 🔍 Description | |--------|----------------| | 📝 Form Trigger | User submits comma-separated domains through a simple form. | | 🌐 Check DA PA Bulk (RapidAPI) | Sends a POST request to the Bulk DA PA Checker API to fetch DA/PA and related SEO metrics. | | 🛠️ Re Format | Parses and extracts each domain’s data from the API response. | | 📊 Append in Google Sheets | Logs all metrics in a structured Google Sheet for easy review and reporting. | 🧠 Key SEO Metrics Retrieved Domain Authority Page Authority Spam Score HTTP Status Code Last Crawled Date External URLs and Redirects And many more from the Bulk DA PA Checker API response ✅ Why Use This Workflow with the Bulk DA PA Checker API? Bulk checking saves time compared to manual domain lookups Reliable data powered by a trusted RapidAPI service Seamless integration with Google Sheets for reporting Easily repeatable and scalable for large domain lists 🔑 How to Get API Key from RapidAPI Bulk DA PA Checker API Follow these steps to get your API key and start using it in your workflow: Visit the API Page 👉 Click here to open Bulk DA PA Checker API on RapidAPI Log in or Sign Up Use your Google, GitHub, or email account to sign in. If you're new, complete a quick sign-up. Subscribe to a Pricing Plan Go to the Pricing tab on the API page. Select a plan (free or paid, depending on your needs). Click Subscribe. Access Your API Key Navigate to the Endpoints tab. Look for the X-RapidAPI-Key under Request Headers. Copy the value shown — this is your API key. Use the Key in Your Workflow In your n8n workflow (HTTP Request node), replace: "x-rapidapi-key": "your key" with: "x-rapidapi-key": "YOUR_ACTUAL_API_KEY". An n8n automation workflow template by Sk developer.

By Marker.io

Marker.io to ServiceNow Integration Automatically create ServiceNow incidents with full technical context when bugs are reported through Marker.io 🎯 What this template does This workflow creates a seamless bridge between Marker.io and ServiceNow, your IT service management platform. Every issue submitted through Marker.io's widget automatically becomes a trackable incident in ServiceNow, complete with technical details and visual context. This ensures your IT team can track, prioritize, and resolve bugs efficiently within their existing ITSM workflow. When a bug is reported, the workflow: Captures the complete Marker.io webhook payload Formats all technical details and metadata Creates a new incident in ServiceNow with the reporter information Includes comprehensive technical context and Marker.io links Preserves screenshots, browser info, and custom data ✨ Benefits Automated ticket creation** - No manual data entry required Complete context** - All bug details transfer automatically Faster triage** - IT teams see issues immediately in ServiceNow Better tracking** - Leverage ServiceNow's incident management capabilities Rich debugging info** - Browser, OS, and screenshot details preserved 💡 Use Cases IT Service Desks**: Streamline bug reporting from end users Development Teams**: Track production issues with full technical context QA Teams**: Convert test findings directly into trackable incidents Support Teams**: Escalate customer-reported bugs to IT with complete details 🔧 How it works N8N Webhook receives Marker.io bug report data JavaScript node formats and extracts relevant information ServiceNow node creates incident with formatted details Incident includes title, description, reporter info, and technical metadata Links preserved to both public and private Marker.io views The result is a fully documented ServiceNow incident that your IT team can immediately action, with all the context needed to reproduce and resolve the issue. 📋 Prerequisites Marker.io account** with webhook capabilities ServiceNow instance** with API access enabled ServiceNow credentials** (username/password or OAuth) Appropriate ServiceNow permissions** to create incidents 🚀 Setup Instructions Import this workflow into your n8n instance Configure the Webhook: Copy the production webhook URL after saving Add to Marker.io: Workspace Settings → Webhooks → Create webhook Select "Issue Created" as the trigger event Set up ServiceNow credentials: In n8n, create new ServiceNow credentials Enter your ServiceNow instance URL Add username and password for a service account Test the connection Customize field mappings (optional): Modify the JavaScript code to map additional fields Adjust priority mappings to match your ServiceNow setup Add custom field mappings as needed Test the integration: Create a test issue in Marker.io Verify the incident appears in ServiceNow Check that all data transfers correctly 📊 Data Captured ServiceNow Incident includes: Short Description**: Issue title from Marker.io Description** containing: 🐛 Issue title and ID 📊 Priority level and issue type 📅 Due date (if set) 📝 Full issue description 🖥️ Browser version and details 💻 Operating system information 🌐 Website URL where issue occurred 🔗 Direct links to Marker.io issue (public and private) 📦 Any custom data fields 📷 Screenshot URL with proper formatting 🔄 Workflow Components Webhook Node**: Receives Marker.io POST requests Code Node**: Processes and formats the data using JavaScript ServiceNow Node**: Creates the incident using ServiceNow API → Read more about Marker.io webhook events 🚨 Troubleshooting Webhook not triggering: Verify webhook URL is correctly copied from n8n to Marker.io Check that "Issue Created" event is selected in Marker.io webhook settings Ensure webhook is set to "Active" status in Marker.io Test with Marker.io's webhook tester feature Check n8n workflow is active and not in testing mode ServiceNow incident not created: Verify ServiceNow credentials are correct and have not expired Check that the service account has permissions to create incidents Ensure ServiceNow instance URL is correct (include https://) Test ServiceNow connection directly in n8n credentials settings Check ServiceNow API rate limits haven't been exceeded Missing or incorrect data: Screenshot URL broken: The workflow already handles URL formatting, but verify Marker.io is generating screenshots Custom data missing: Ensure custom fields exist in Marker.io before sending Due date formatting issues: Check your ServiceNow date format requirements JavaScript errors in Format node: Check webhook payload structure hasn't changed in Marker.io updates Verify all field paths match current Marker.io webhook schema Use n8n's data pinning to debug with actual webhook data Check for undefined values when optional fields are missing Connection issues: ServiceNow timeout: Increase timeout in node settings if needed SSL/Certificate errors: Check ServiceNow instance SSL configuration Network restrictions: Ensure n8n can reach your ServiceNow instance Authentication failures: Regenerate ServiceNow credentials if needed Testing tips: Use n8n's "Execute Workflow" with pinned test data Enable webhook test mode in Marker.io for safe testing Check ServiceNow incident logs for detailed error messages Monitor n8n execution logs for specific failure points. An n8n automation workflow template by Marker.io.

By Babish Shrestha

🚀 Build Your Own Knowledge Chatbot Using Google Drive Create a smart chatbot that answers questions using your Google Drive PDFs—perfect for support, internal docs, education, or research. 🛠️ Quick Setup Guide** Step 1: Prerequisites n8n instance (cloud or self-hosted) Google Drive account (with PDFs) Supabase account (vector database) OpenAI API key PostgreSQL database (for chat memory) else remove the node Step 2: Supabase Setup Create supabase account (its free) Create a project Copy the sql and paste it in supabase sql editor -- Enable the pgvector extension to work with embedding vectors create extension vector; -- Create a table to store your documents create table documents ( id bigserial primary key, content text, -- corresponds to Document.pageContent metadata jsonb, -- corresponds to Document.metadata embedding vector(1536) -- 1536 works for OpenAI embeddings, change if needed ); -- Create a function to search for documents create function match_documents ( query_embedding vector(1536), match_count int default null, filter jsonb DEFAULT '{}' ) returns table ( id bigint, content text, metadata jsonb, similarity float ) language plpgsql as $$ #variable_conflict use_column begin return query select id, content, metadata, 1 - (documents.embedding <=> query_embedding) as similarity from documents where metadata @> filter order by documents.embedding <=> query_embedding limit match_count; end; $$; Step 3: Import & Configure n8n Workflow Import this template into n8n Add credentials: OpenAI API key Google Drive OAuth2 Supabase URL & service key PostgreSQL connection Set your Google Drive folder ID in triggers Step 4: Test & Use Add a PDF to your Drive folder → check Supabase for new entries Start the workflow and chat → ask questions about your documents. "What can you help me with?" Multi-turn chat → context is maintained per user ⚡ Features Auto-syncs new/updated PDFs from Google Drive Extracts, chunks, and vectorizes text Finds relevant info and answers questions Maintains chat history per user 📝 Troubleshooting Check folder permissions & IDs if no docs found Verify API keys & Supabase setup for errors Ensure PostgreSQL is connected for chat memory Tags: RAG, Chatbot, Google Drive, Supabase, OpenAI, n8n Setup Time: ~20 minutes. An n8n automation workflow template by Babish Shrestha.

By Evoort Solutions

Automated SEO Competitor Analysis with Google Sheets Logging Description: This n8n workflow automates SEO competitor analysis by integrating the Competitor Analysis API. It captures website domains via a simple user form, sends them to the API to retrieve competitor data, and logs the results directly into Google Sheets. The workflow intelligently handles empty or missing data and incorporates a wait node to respect API rate limits, making your competitor tracking seamless and reliable. Node-by-Node Explanation On Form Submission Triggers the workflow when a user submits a website domain. Global Storage Stores the submitted website domain for use in subsequent nodes. Competitor Analysis Request Sends a POST request to the Competitor Analysis API to fetch organic competitors, pages, and keyword data. If (Condition Check) Verifies that the API response contains valid, non-empty data. Google Sheets (Insert Success Data) Appends the fetched competitor data to a specified Google Sheet. Wait Node Adds a 5-second delay to avoid exceeding API rate limits. Google Sheets (Insert 'Not Found' Record) Logs a “Not data found.” entry into Google Sheets if the API response lacks relevant data. Use Cases & Benefits SEO Professionals:** Automate competitor insights collection for efficient SEO research. Marketing Teams:** Maintain consistent, automated logs of competitor data across multiple websites. Agencies:** Manage organic search competitor tracking for many clients effortlessly. Reliability:** Conditional checks and wait nodes ensure smooth API interaction and data integrity. Scalable & User-Friendly:** Simple form input and Google Sheets integration enable easy adoption and scalability. 🔐 How to Get Your API Key for the Competitor Keyword Analysis API Go to 👉 Competitor Keyword Analysis API Click "Subscribe to Test" (you may need to sign up or log in). Choose a pricing plan (there’s a free tier for testing). After subscribing, click on the "Endpoints" tab. Your API Key will be visible in the "x-rapidapi-key" header. 🔑 Copy and paste this key into the httpRequest node in your workflow. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n. An n8n automation workflow template by Evoort Solutions.

By Sahil Sunny

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow allows users to extract sitemap links using ScrapingBee API. It only needs the domain name www.example.com and it automatically checks robots.txt and sitemap.xml to find the links. It is also designed to recursively run the workflow when new .xml links are found while scraping the sitemap. How It Works Trigger: The workflow waits for a webhook request that contains domain=www.example.com It then looks for robots.txt file, if not found it checks sitemap.xml Once it finds xml links, it recursively scrapes them to extract the website links For each xml file, first it checks whether it's a binary file and whether it's a compressed xml If it's a text response, it directly runs a code that extracts normal website link and another code to extract xml links If it's a binary that is not compressed, it just extracts text from the binary and then extract webiste links and xml links If it's a compressed binary, it first decompresses it and then extracts the text and then the links and xml After extracting website links, it appends those links directly to a sheet After extracting xml links, it scrapes them recursively until it finds all website links When the workflow is finished, you will see the output in the links column of the Google Sheet that we added to the workflow. Set Up Steps Get your ScrapingBee API Key here Create a new google sheet with an empty column named links. Connect to the sheet by signing in using your Google Credential and add the link to your sheet. Copy the webhook url, and send a GET request with domain as query parameter. Example: curl "https://webhook_link?domain=scrapingbee.com" Customisation Options If the website you are scraping is blocking your request, you can try using premium or stealth proxy in Scrape robots.txt file, Scrape sitemap.xml file, and Scrape xml file nodes. If you wish to store the data in a different app/tool or store it as a file, you would just need to replace Append links to sheet node with a relevant node. Next Steps If you wish to scrape the pages using the extracted links, then you can implement a new workflow that reads the sheet or file (output generated by this workflow) for links and for each link send a request to ScrapingBee's HTML API and save the returned data. NOTE: Some heavy sitemaps could result in a crash if the workflow consumes more memory than what is available in your n8n plan or self-hosted system. If this happens, we would recommend you to either upgrade your plan or use a self-hosted solution with a higher memory. An n8n automation workflow template by Sahil Sunny.

By Cong Nguyen

📄 What this workflow does Turns a simple form submission into a polished, priced PDF quote—automatically. Captures lead details via Form: Request a Quote. Loads your Google Sheets catalog (SKUs, price, stock, min qty, etc.). Uses OpenAI to select SKUs and build a strict JSON quote (respects in_stock and min_qty, optional discount ≤10%). Maps data in a Code node to compute line totals, discount, VAT, and a unique invoice_number; validates/falls back due_date. Renders a branded PDF via CraftMyPDF, fetches the file link, and emails the customer the quote. 👤 Who is this for SMBs and sales teams needing instant quotes from website forms. Ops teams managing catalogs in Sheets who want LLM-assisted SKU selection. Agencies/shops that must generate consistent, branded PDFs and email them automatically. ✅ Requirements A self-hosted n8n instance. Google Sheets catalog with (recommended) columns: sku, name, uom, unit_price, currency, in_stock (TRUE/FALSE), min_qty, lead_time_days, notes. Connected credentials: Google Sheets OAuth2, OpenAI (or compatible), CraftMyPDF, SMTP. A CraftMyPDF template whose fields match the Code node output (invoice_number, items[], gross_total, etc.). CraftMyPDF provides a drag-and-drop editor and PDF Generation API that work well with n8n. ⚙️ How to set up Import the workflow JSON into n8n. In Google Sheets: Products, set real documentId/sheetName (IDs) and connect OAuth. In LLM node, keep or change model (default gpt-4.1-mini), and keep the “JSON-only” system prompt. In Create a PDF, set your CraftMyPDF templateId. In Email: Send Quote, set fromEmail and SMTP credentials. Submit a test form; verify LLM JSON → PDF render → email delivery. (Optional) Adjust defaults in the Code node: vat_pct (default 10), payment_terms, currency fallback, and valid_days. 🧩 CraftMyPDF template — quick guide (UI) Create & open a template: Log in → Manage Templates → New Template (choose blank or a starter) → Edit to open the editor. The editor has four core tabs: Designer, Preview, Data, Settings. Paste sample JSON: Go to the Data tab and paste a sample that mirrors what n8n will send (e.g., includes invoice_number, client, items[]). This JSON powers the editor’s auto-complete and live preview. Bind fields fast: In Designer, use Data Fields to drag pre-bound text/image components that auto-insert expressions from your JSON—much quicker than manual binding. Add line items: For repeating rows like items[], use Simple Table (set Data Source to {{data.items}}, then in each column use {{row.field}}, e.g., {{row.description}}, {{row.quantity}}, {{row.unit_price}}, {{row.total}}). Use expressions: Anywhere you need dynamic text, enter {{ data.<field> }}—for example {{data.invoice_number}}, {{data.client}}, {{data.gross_total}}. Preview the result and/or generate a real PDF from the Preview tab. Finish & integrate: Save the template, note its Template ID, and use it in the n8n CraftMyPDF node. You can return to the editor anytime to tweak layout/styles; the next workflow run will use the updated design. The editor and API are built for reusable templates. 🔁 How it works Trigger → Form submission captures: Full Name, Email, Company, Requirements, Budget Min/Max, Need By, Notes. Catalog Load → Sheets node returns rows; passed to the LLM as JSON. LLM Quote → Model selects SKUs/qty, pricing, discount (≤10%), terms, and returns VALID JSON only. Code Mapping → Parses JSON (strips code fences if present), computes discounts/VAT/totals, assigns invoice_number (Q-YYYYMMDD-ABCDE), and validates due_date (falls back to today + valid_days). PDF Render → CraftMyPDF generates the branded quote and returns a file URL. Delivery → HTTP node fetches the file; SMTP node emails the customer with dynamic subject and totals. 💡 About Margin AI Margin AI is your AI Service Companion. We help organizations design intelligent, human-centric automation — from content pipelines and branding workflows to customer insights and sales enablement. Our tailored AI solutions scale marketing, operations, and creative processes with ease. An n8n automation workflow template by Cong Nguyen.

By Einar César Santos

This workflow solves a critical problem in AI chat implementations: handling multiple rapid messages naturally without creating processing bottlenecks. Unlike traditional approaches where every user waits in the same queue, our solution implements intelligent conditional buffering that allows each conversation to flow independently. Key Features: Aggregates rapid user messages (like when someone types multiple lines quickly) into single context Only the first message in a burst waits - subsequent messages skip the queue entirely Each user session operates independently with isolated Redis queues Reduces LLM API calls by 45% through intelligent message batching Maintains conversation memory for contextual responses Perfect for: Customer service bots, AI assistants, support systems, and any chat application where users naturally send multiple messages in quick succession. The workflow scales linearly with users, handling hundreds of concurrent conversations without performance degradation. Some Use Cases: Customer support systems handling multiple concurrent conversations AI assistants that need to understand complete user thoughts before responding Educational chatbots where students ask multi-part questions Sales bots that need to capture complete customer inquiries Internal company AI agents processing complex employee requests Any scenario where users naturally communicate in message bursts Why This Template? Most chat buffer implementations force all users to wait in a single queue, creating exponential delays as usage scales. This template revolutionizes the approach by making only the first message wait while subsequent messages flow through immediately. The result? Natural conversations that scale effortlessly from one to hundreds of users without compromising response quality or speed. Prerequisites n8n instance (v1.0.0 or higher) Redis database connection OpenAI API key (or alternative LLM provider) Basic understanding of webhook configuration Tags ai-chat, redis, buffer, scalable, conversation, langchain, openai, message-aggregation, customer-service, chatbot. An n8n automation workflow template by Einar César Santos.

By Malik Hashir

Purpose and Audience This n8n workflow template is designed to provide real-time alerts on new cryptocurrency exchange listings and delistings. It caters especially to crypto traders, investors, and enthusiasts who want to stay ahead of market changes by receiving timely notifications about token availability across major exchanges like Binance, Bybit, Coinbase, OKX, Upbit, Bithumb, and Hyperliquid. The alerts are delivered via popular communication channels Telegram, X (formerly Twitter), and Discord, ensuring you never miss important updates. What It Does The workflow continuously tracks new token listings announcement from Binance, Bybit, Coinbase, Bithumb, OKX, Upbit, and Hyperliquid futures exchange. It also monitors delistings announcement from Binance, Bybit, OKX, Upbit, and Coinbase. When a new listing or delisting announcement is detected, it automatically sends instant alerts to your subscribed Telegram groups or channels, X accounts, and Discord servers, helping you react quickly to market changes. Who Is It For This workflow is perfect for crypto traders, portfolio managers, market analysts, and anyone active in cryptocurrency investment or community management. By automating the alert process, it saves time and ensures you receive critical exchange listing updates immediately on your preferred platforms without manual monitoring. How to Setup Complete video tutorial setup guide is included with the workflow file. The step-by-step guide walks you through configuring API credentials, connecting your Telegram, X, and Discord accounts, and customizing alert preferences to fit your needs. An n8n automation workflow template by Malik Hashir.

By Stephan Koning

Recruiter Mirror is a proof‑of‑concept ATS analysis tool for SDRs/BDRs. Compare your LinkedIn or CV to job descriptions and get recruiter‑ready insights. By comparing candidate profiles against job descriptions, it highlights strengths, flags missing keywords, and generates actionable optimization tips. Designed as a practical proof of concept for breaking into tech sales, it shows how automation and AI prompts can turn LinkedIn into a recruiter‑ready magnet. Got it ✅ — based on your workflow (Webhook → LinkedIn CV/JD fetch → GhostGenius API → n8n parsing/transform → Groq LLM → Output to Webhook), here’s a clear list of tools & APIs required to set up your Recruiter Mirror (Proof of Concept) project: 🔧 Tools & APIs Required 1. n8n (Automation Platform) Either n8n Cloud or self‑hosted n8n instance. Used to orchestrate the workflow, manage nodes, and handle credentials securely. 2. Webhook Node (Form Intake) Captures LinkedIn profile (LinkedIn_CV) and job posting (LinkedIn_JD) links submitted by the user. Acts as the starting point for the workflow. 3. GhostGenius API Endpoints Used: /v2/profile → Scrapes and returns structured CV/LinkedIn data. /v2/job → Scrapes and returns structured job description data. Auth**: Requires valid credentials (e.g., API key / header auth). 4. Groq LLM API (via n8n node) Model Used: moonshotai/kimi-k2-instruct (via Groq Chat Model node). Purpose: Runs the ATS Recruiter Check, comparing CV JSON vs JD JSON, then outputs a structured JSON per the ATS schema. Auth**: Groq account + saved API credentials in n8n. 5. Code Node (JavaScript Transformation) Parses Groq’s JSON output safely (JSON.parse). Generates clean, recruiter‑ready HTML summaries with structured sections: Status Reasoning Recommendation Matched keywords / Missing keywords Optimization tips 6. n8n Native Nodes Set & Aggregate Nodes** → Rebuild structured CV & JD objects. Merge Node** → Combine CV data with job description for comparison. If Node** → Validates LinkedIn URL before processing (fallback to error messaging). Respond to Webhook Node** → Sends back the final recruiter‑ready insights in JSON (or HTML). ⚠️ Important Notes Credentials**: Store API keys & auth headers securely inside n8n Credentials Manager (never hardcode inside nodes). Proof of Concept: This workflow demonstrates feasibility but is **not production‑ready (scraping stability, LinkedIn terms of use, and API limits should be considered before real deployments). An n8n automation workflow template by Stephan Koning.

By Robert Breen

A minimal, plug-and-play workflow that generates sample data using n8n’s Code node (both JavaScript and Python versions included) and then fans out those records into individual items with Split Out. Perfect for testing downstream nodes, mapping, pagination, or prototyping list-based logic without connecting to real data sources. ✅ What this template does Generates 20 sample records** with fields: index, num, and test Writes the array to item.json.barr Uses Split Out to convert the array into one item per record Includes both JavaScript and Python implementations side-by-side 👤 Who’s it for Builders who need mock data to test mappings and loops Educators/demo makers who want a simple fan-out pattern Anyone who wants a clean scaffold for list processing in n8n ⚙️ How it works / What it does Generate Data Javascript**: Produces barr = [{ index, num, test }, ...] for 20 rows Generate Data Python**: Same output, written in Python Split Out Javascript / Python: Takes barr and emits **one item per element > Use either branch (JS or Python) depending on your preference. 🛠️ How to set up No external setup required. Import the workflow and Execute. Select either the JavaScript or Python branch to see fan-out items. 📋 Requirements n8n (Cloud or self-hosted) No credentials or third-party services 🎛️ Customize the workflow Change the number of rows: adjust the loop range (0..N) Rename or add fields to each record (e.g., name, price, tags) Replace the static array with generated or randomized data Pipe the Split Out output into Set, Function, HTTP, or Sheets nodes for further testing 🗒️ Notes Sticky notes are included for in-editor guidance. Both implementations return the same structure so you can swap freely. 📬 Contact Need help customizing this (e.g., shaping fields, adding randomizers, or exporting to CSV/Sheets)? 📧 rbreen@ynteractive.com 🔗 Robert Breen — https://www.linkedin.com/in/robert-breen-29429625/ 🌐 ynteractive.com — https://ynteractive.com. An n8n automation workflow template by Robert Breen.

By Alok Kumar

Learn Supabase Storage Fundamentals with n8n This template demonstrates how to integrate Supabase Storage with n8n for uploading, fetching, generating temporary signed URLs, and listing files. It’s a beginner-friendly workflow that helps you understand how to connect Supabase’s storage API with n8n automation. Who it’s for Developers and teams new to Supabase who want a hands-on learning workflow. Anyone looking to automate file uploads and retrieval from Supabase Storage. Educators or technical teams teaching Supabase fundamentals with practical demos. How it works Upload File – A user uploads a file through an n8n form, which gets stored in a Supabase storage bucket. Fetch File – Retrieve files by providing their filename. Temporary Access – Generate signed URLs with custom expiry for secure file sharing. List Objects – View all stored files in the chosen Supabase bucket. How to set up Create a Supabase account and set up a project. Create a bucket in Supabase (e.g., test-n8n). Get your Project URL and Anon Key from Supabase. In n8n, create a Supabase API Credential using your keys. Import this workflow and connect it with your credentials. Run the forms to test file upload, retrieval, and listing. Requirements A Supabase project with storage enabled. A configured Supabase API Credential in n8n. Customization Change the bucket name (test-n8n) to your own. Adjust signed URL expiry times for temporary file access. Replace Supabase with another S3-compatible storage if needed. Extend the workflow with notifications (Slack, Email) after file upload. 📝 Lessons Included Lesson 1** – Upload file to Supabase storage. Lesson 2** – Fetch file from storage. Lesson 3** – Create a temporary signed document with expiry. Lesson 4** – List all items in Supabase storage. 🔑 Prerequisites Supabase account + project. Project URL and API Key (Anon). Bucket created in Supabase. Policy created to allow read/write access. n8n with Supabase API credentials configured. An n8n automation workflow template by Alok Kumar.

By Davide Boizza

This workflow is a beginner-friendly tutorial demonstrating how to use the Evaluation tool to automatically score the AI’s output against a known correct answer (“ground truth”) stored in a Google Sheet. Advantages ✅ Beginner-friendly – Provides a simple and clear structure to understand AI evaluation. ✅ Flexible input sources – Works with both Google Sheets datasets and manual test entries. ✅ Integrated with Google Gemini – Leverages a powerful AI model for text-based tasks. ✅ Tool usage – Demonstrates how an AI agent can call external tools (e.g., calculator) for accurate answers. ✅ Automated evaluation – Outputs are automatically compared against ground truth data for factual correctness. ✅ Scalable testing – Can handle multiple dataset rows, making it useful for structured AI model evaluation. ✅ Result tracking – Saves both answers and correctness scores back to Google Sheets for easy monitoring. How it Works The workflow operates in two distinct modes, determined by the trigger: Manual Test Mode: Triggered by "When clicking 'Execute workflow'". It sends a fixed question ("How much is 8 * 3?") to the AI agent and returns the answer to the user. This mode is for quick, ad-hoc testing. Evaluation Mode: Triggered by "When fetching a dataset row". This mode reads rows of data from a linked Google Sheet. Each row contains an input (a question) and an expected_output (the correct answer). It processes each row as follows: The input question is sent to the AI Agent node. The AI Agent, powered by a Google Gemini model and equipped with a Calculator tool, processes the question and generates an answer (output). The workflow then checks if it's in evaluation mode. Instead of just returning the answer, it passes the AI's actual_output and the sheet's expected_output to another Evaluation node. This node uses a second Google Gemini model as a "judge" to evaluate the factual correctness of the AI's answer compared to the expected one, generating a Correctness score on a scale from 1 to 5. Finally, both the AI's actual_output and the automated correctness score are written back to a new column in the same row of the Google Sheet. Set up Steps To use this workflow, you need to complete the following setup steps: Credentials Configuration: Set up the Google Sheets OAuth2 API credentials (named "Google Sheets account"). This allows n8n to read from and write to your Google Sheet. Set up the Google Gemini (PaLM) API credentials (named "Google Gemini(PaLM) (Eure)"). This provides the AI language model capabilities for both the agent and the evaluator. Prepare Your Google Sheet: The workflow is pre-configured to use a specific Google Sheet. You must clone the provided template sheet (the URL is in the Sticky Note) to your own Google Drive. In your cloned sheet, ensure you have at least two columns: one for the input/question (e.g., input) and one for the expected correct answer (e.g., expected_output). You may need to update the node parameters that reference $json.input and $json.expected_output to match your column names exactly. Update Document IDs: After cloning the sheet, get its new Document ID from its URL and update the documentId field in all three Evaluation nodes ("When fetching a dataset row", "Set output Evaluation", and "Set correctness") to point to your new sheet instead of the original template. Activate the Workflow: Once the credentials and sheet are configured, toggle the workflow to Active. You can then trigger a manual test run or set the "When fetching a dataset row" node to poll your sheet automatically to evaluate all rows. Need help customizing? Contact me for consulting and support or add me on Linkedin. An n8n automation workflow template by Davide Boizza.

By Fariez

X (Twitter) and Threads (by Meta) both have different maximum character lengths. Different X and Threads Content Auto Poster This n8n template demonstrates how to post different content optimized for X (Twitter) and Meta Threads using the Late API. You can use it for any niche. For example: posting AI news to X and Threads. Possible use cases: Schedule your posts to X and Threads. Use this workflow as a content calendar and automated posting system. Apply it across different content niches. How it works The automation runs according to the time defined in the Schedule Trigger node. Content is pulled from Google Sheets. Any URL is shortened using your preferred short URL API. Images are uploaded to Late’s server first. Content for X is posted in Step 2. The workflow checks that the content length is under 280 characters. Content for Threads is posted in Step 3. The workflow checks that the content length is under 500 characters. Posts on X are published as threaded posts, while on Threads they are single posts. Once posted, the Google Sheets content database is updated. Requirements Google OAuth credentials with the Google Sheets API enabled Bitly account and access token (or OAuth) GetLate API connected to your X and Threads accounts HOW TO USE STEP 1 Adjust the settings in the Schedule Trigger node to define when the workflow runs. Open this Google Sheets template, then go to File → Make a copy, and update the settings in the Get Topic node. Get your Bitly OAuth or Access Token here and add the credentials in the Short Link node. Get your API key from getlate.dev and add the credentials in the Upload IMG node. STEP 2 Add your Late credentials to the Post Twitter node. Get your Twitter account ID from Late, and update it in the JSON Body section of the Post Twitter node. STEP 3 Add your Late credentials to the Post Threads node. Get your Threads account ID from Late, and update it in the JSON Body section of the Post Threads node. An n8n automation workflow template by Fariez.

By Țugui Dragoș

How It Works Story Generation – Your idea is transformed into a narrative split into scenes using DeepSeek LLM. Visuals – Each scene is illustrated with AI images via Replicate, then animated into cinematic video clips with RunwayML. Voice & Music – Narration is created using ElevenLabs (text-to-speech), while Replicate audio models generate background music. Final Assembly – All assets are merged into a professional video using Creatomate. Delivery – Everything is orchestrated by n8n, triggered from Slack with /render, and the final video link is delivered back instantly. Workflow in Action 1. Trigger from Slack Type your idea with /render in Slack - the workflow starts automatically. 2. Final Video Output Receive a polished cinematic video link in Slack. 3. Creatomate Template ⚠️ Important: You must create your own template in Creatomate. This is a one-time setup - the template defines where the voiceover, music, and video clips will be placed. The more detailed and refined your template is, the better the final cinematic result. Required APIs To run this workflow, you need accounts and API keys from the following services: DeepSeek – Story generation (LLM) Replicate – Images & AI music generation RunwayML – Image-to-video animations ElevenLabs – Text-to-speech voiceovers Creatomate – Video rendering and templates Dropbox – File storage and asset syncing Slack – Workflow trigger and video delivery Setup Steps Import the JSON workflow into your n8n instance. Add your API credentials for each service above. Create a Creatomate template (only once) – define layers for visuals, voice, and music. Trigger the workflow from Slack with /render Your Story Idea. Receive your final cinematic video link directly in Slack. Use Cases Automated YouTube Shorts / TikToks for faceless content creators. Scalable ad creatives and marketing videos for agencies. Educational explainers** and onboarding videos generated from text. Rapid prototyping** of cinematic ideas for developers & storytellers. With this workflow, you’re not just using AI tools – you’re running a full AI-powered studio in n8n. An n8n automation workflow template by Țugui Dragoș.

By Md Sabirul Islam

AI Chef Bot is a smart virtual chef built with n8n and Telegram. Users can ask for any dish, and the bot: Generates a detailed recipe (ingredients + step-by-step instructions). Creates a photorealistic restaurant-style plated food image of the dish. Sends both recipe text and food image back on Telegram. 👉 Live Demo Bot: http://t.me/botaichefrobotbot Perfect for food lovers, restaurants, cooking groups, or anyone who wants an interactive AI-powered chef. 🌟 Features 🔗 Telegram Integration – chat with the bot in real time. 🍽 AI Recipe Generator – instant, structured recipes for any dish. 🎨 Text-to-Image AI – turns recipes into beautiful food images. 🍴 Restaurant-Style Plating – elegant ceramic/slate/glass plating only. 📸 Photo-Realistic Images – styled like professional food photography. ⚡ Automated Workflow – no manual steps, everything runs inside n8n. ⚙️ Installation Import this workflow into your n8n instance. Configure your Telegram Bot Token (from BotFather). Configure your OpenRouter API Key for AI text + image generation. Save and activate the workflow. Go to Telegram and send any dish name (e.g., Polpette di pesce). The bot replies with: 📖 A full recipe. 📸 A restaurant-plated realistic food image. An n8n automation workflow template by Md Sabirul Islam.

By Dataki

BigQuery RAG with OpenAI Embeddings This workflow demonstrates how to use Retrieval-Augmented Generation (RAG) with BigQuery and OpenAI. By default, you cannot directly use OpenAI Cloud Models within BigQuery. Try it This template comes with access to a *public BigQuery table** that stores part of the n8n documentation (about nodes and triggers), allowing you to try the workflow right away: n8n-docs-rag.n8n_docs.n8n_docs_embeddings* ⚠️ *Important:* BigQuery uses the *requester pays model.* The table is small (~40 MB), and BigQuery provides *1 TB of free processing per month**. Running 3–4 queries for testing should remain within the free tier, unless your project has already consumed its quota. More info here: BigQuery Pricing* Why this workflow? Many organizations already use BigQuery to store enterprise data, and OpenAI for LLM use cases. When it comes to RAG, the common approach is to rely on dedicated vector databases such as Qdrant, Pinecone, Weaviate, or PostgreSQL with pgvector. Those are good choices, but in cases where an organization already uses and is familiar with BigQuery, it can be more efficient to leverage its built-in vector capabilities for RAG. Then comes the question of the LLM. If OpenAI is the chosen provider, teams are often frustrated that it is not directly compatible with BigQuery. This workflow solves that limitation. Prerequisites To use this workflow, you will need: A good understanding of BigQuery and its vector capabilities A BigQuery table containing documents and an embeddings column The embeddings column must be of type FLOAT and mode REPEATED (to store arrays) A data pipeline that generates embeddings with the OpenAI API and stores them in BigQuery This template comes with a public table that stores part of the n8n documentation (about nodes and triggers), so you can try it out: n8n-docs-rag.n8n_docs.n8n_docs_embeddings How it works The system consists of two workflows: Main workflow** → Hosts the AI Agent, which connects to a subworkflow for RAG Subworkflow** → Queries the BigQuery vector table. The retrieved documents are then used by the AI Agent to generate an answer for the user. An n8n automation workflow template by Dataki.