Browse 12,955 Workflows

By Sarfaraz Muhammad Sajib

This workflow allows interactive conversation with the content of an XML file using OpenAI and LangChain. It fetches an XML feed from a specified URL, parses the XML, and enables an AI agent to respond to user queries based on the XML's structure and data. What It Does: Triggered via webhook or manual execution. Sets and fetches an external XML feed URL. Parses the XML into a readable format. Connects OpenAI GPT via LangChain for intelligent chat. AI agent answers questions like extracting nodes, attributes, or structure from the XML. An n8n automation workflow template by Sarfaraz Muhammad Sajib.

By Aitor | 1Node

Elevate your Stripe workflows with an AI agent that intelligently, securely, and interactively handles essential Stripe data operations. Leveraging the Kimi K2 model via OpenRouter, this n8n template enables safe data retrieval. From fetching summarized financial insights to managing customer discounts, while strictly enforcing privacy, concise outputs, and operational boundaries. 🧾 Requirements Stripe: Active Stripe account API key with read and write access. n8n: Deployed n8n instance (cloud or self-hosted) OpenRouter: Active OpenRouter account with credit API key from OpenRouter 🔗 Useful Links Stripe n8n Stripe Credentials Setup OpenRouter 🚦 Workflow Breakdown Trigger: User Request Workflow initiates when an authenticated user sends a message in the chat trigger. AI Agent (Kimi K2 OpenRouter): Intent Analysis Determines whether the user wants to: List customers, charges, or coupons Retrieve the account’s balance Create a new coupon in Stripe Filters unsupported or unclear requests, explaining permissions or terminology as needed. Stripe Data Retrieval For data queries: Only returns summarized, masked lists (e.g., last 10 transactions/customers) Sensitive details, such as card numbers, are automatically masked or truncated Never exposes or logs confidential information Coupon Creation When a coupon creation is requested: AI agent collects coupon parameters (discount, expiration, restrictions) Clearly summarizes the action and requires explicit user confirmation before proceeding Creates the coupon upon confirmation and replies with only the public-safe coupon details 🛡️ Privacy & Security No data storage:** All responses are ephemeral; sensitive Stripe data is never retained. Strict minimization:** Outputs are tightly scoped; only partial identifiers are shown and only when necessary. Retention rules enforced:** No logs, exports, or secondary storage of Stripe data. Confirmation required:** Actions modifying Stripe (like coupon creation) always require the user to approve before execution. Compliance-ready:** Aligned with Stripe and general data protection standards. ⏱️ Setup Steps Setup time: 10–15 minutes Add Stripe API credentials in n8n Add the OpenRouter API credentials in n8n and select your desired AI model to run the agent. In our template we selected Kimi K2 from Moonshot AI. ✅ Summary This workflow template connects a privacy-prioritized AI agent (Kimi K2 via OpenRouter) with your Stripe account to enable: Fast, summarized access to customer, transaction, coupon, and balance data Secure, confirmed creation of discounts/coupons Complete adherence to authorization, privacy, and operational best practices 🙋‍♂️ Need Help? Feel free to contact us at 1 Node Get instant access to a library of free resources we created. An n8n automation workflow template by Aitor | 1Node.

By scrapeless official

Brief Overview This workflow integrates Linear, Scrapeless, and Claude AI to create an AI research assistant that can respond to natural language commands and automatically perform market research, trend analysis, data extraction, and intelligent analysis. Simply enter commands such as /search, /trends, /crawl in the Linear task, and the system will automatically perform search, crawling, or trend analysis operations, and return Claude AI's analysis results to Linear in the form of comments. How It Works Trigger: A user creates or updates an issue in Linear and enters a specific command (e.g. /search competitor analysis). n8n Webhook: Listens to Linear events and triggers automated processes. Command identification: Determines the type of command entered by the user through the Switch node (search/trends/unlock/scrape/crawl). Data extraction: Calls the Scrapeless API to perform the corresponding data crawling task. Data cleaning and aggregation: Use Code Node to unify the structure of the data returned by Scrapeless. Claude AI analysis: Claude receives structured data and generates summaries, insights, and recommendations. Result writing: Writes the analysis results to the original issue as comments through the Linear API. Features Multiple commands supported /search: Google SERP data query /trends: Google Trends trend analysis /unlock: Unlock protected web content (JS rendering) /scrape: Single page crawling /crawl: Whole site multi-page crawling Claude AI intelligent analysis Automatically structure Scrapeless data Generate executable suggestions and trend insights Format optimization to adapt to Linear comment format Complete automation process Codeless process management based on n8n Multi-channel parallel logic distribution + data standardization processing Support custom API Key, regional language settings and other parameters Requirements Scrapeless API Key**: Scrapeless Service request credentials. Log in to the Scrapeless Dashboard Then click "Setting" on the left -> select "API Key Management" -> click "Create API Key". Finally, click the API Key you created to copy it. n8n Instance**: Self-hosted or n8n.cloud account. Claude AI**: Anthropic API Key (Claude Sonnet 3.7 model recommended) Installation Log in to Linear and get a Personal API Token Log in to n8n Cloud or a local instance Import the n8n workflow JSON file provided by Scrapeless Configure the following environment variables and credentials: Linear API Token Scrapeless API Token Claude API Key Configure the Webhook URL and bind to the Linear Webhook settings page Usage This automated job finder agent is ideal for: | Industry / Role | Use Case | | --------------------------------- | -------------------------------------------------------------------------------------------------- | | SaaS / B2B Software | | | Market Research Teams | Analyze competitor pricing pages using /unlock, and feature pages via /scrape. | | Content & SEO | Discover trending keywords and SERP data via /search and /trends to guide content topics. | | Product Managers | Use /crawl to explore product documentation across competitor sites for feature benchmarking. | | AI & Data-Driven Teams | | | AI Application Developers | Automate info extraction + LLM summarization for building intelligent research agents. | | Data Analysts | Aggregate structured insights at scale using /crawl + Claude summarization. | | Automation Engineers | Integrate command workflows (e.g., /scrape, /search) into tools like Linear to boost productivity. | | E-commerce / DTC Brands | | | Market & Competitive Analysts | Monitor competitor sites, pricing, and discounts with /unlock and /scrape. | | SEO & Content Teams | Track keyword trends and popular queries via /search and /trends. | | Investment / Consulting / VC | | | Investment Analysts | Crawl startup product docs, guides, and support pages via /crawl for due diligence. | | Consulting Teams | Combine SERP and trend data (/search, /trends) for fast market snapshots. | | Media / Intelligence Research | | | Journalists & Editors | Extract forum/news content from platforms like HN or Reddit using /scrape. | | Public Opinion Analysts | Monitor multi-source keyword trends and sentiment signals to support real-time insights. | Output. An n8n automation workflow template by scrapeless official.

By Malik Hashir

This smart AI-powered trading journal lets you easily log and update your trades using Telegram messages. Just send your trade details by text to your personal telegram bot, and the system will extract key information and save it in a Google Sheets journal for you. Simply send messages to your personal trade journal assistant (bot) on Telegram, and it will handle the rest. After some time, you can review your journal to reflect, learn, and improve your trading skills. The journal can record: Asset or trading pair Entry price Stop loss Take profit Trade direction (buy/sell) Additional trading notes It also allows you to update existing trades with: Profit and loss after closing the trade Additional notes such as strategy details 1. How it works: Trade Entry Example: Send a message like: "Hey, log my trade on Tesla with entry price 300, stop loss 280, and direction buy." The AI will extract: Asset or trading pair (e.g., Tesla) Entry price Stop loss (if provided) Take profit (if provided) Direction (buy/long or sell/short) Any additional notes (e.g., "EMA 20 crossed above EMA 50") Trade ID: After logging, you’ll receive a unique trade ID (e.g., "233hdsf") to keep for future updates to the trade entry (e.g add profit/loss upon trade close). Trade Update Example: To update your trade with profit/loss or notes, send a message like: "Hey, update my trade with profit of 300+ and add note: trade was closed after 7 days. Trade ID: 233hdsf." The system will locate your trade by ID and update the details accordingly. 2. Who is this for? Traders who want a simple, hands-free way to track and manage their trades without manual data entry. Perfect for individual traders, prop firms, or anyone who prefers using Telegram to interact with their trading journal. 3. How to use: Create a Google Sheet with columns (ID (unique trade id auto generated for every trade), Asset/Pair, Entry Price, Stop Loss, Take Profit, Notes, Direction, Profit & Loss). Send trade details via Telegram message. Receive confirmation with a unique trade ID. Use the trade ID for any future updates to the trade entry. All trades and updates are saved automatically in Google Sheets selected. 4. How to Set Up This Smart AI Trading Journal Workflow This section guides you through setting up the workflow that logs and updates your trades via Telegram messages, using AI to extract trade details and storing them in Google Sheets. Telegram Bot Setup Create a Telegram bot using @BotFather: Send /newbot command. Choose a bot name and username. Copy the API token provided. In n8n, create Telegram credentials: Go to Credentials → Create new → Telegram API. Paste your bot API token. Use https://api.telegram.org as the base URL. Save the credentials. Google Sheets Setup Create a Google Sheet to store your trade journal with columns (ID (unique trade id auto generated for every trade), Asset/Pair, Entry Price, Stop Loss, Take Profit, Notes, Direction, Profit & Loss). Note the Spreadsheet ID from the URL (e.g., 1DeKt3teOs3R8Js9Go4rdhJCLKisLByMkO6LSPd5Be4c). Make sure your sheet has columns like: ID, Asset/Pair, Entry Price, Stop Loss, Take Profit, Direction, Notes, Profit & Loss. In n8n, create Google Sheets OAuth2 credentials: Follow n8n Google Sheets docs to set up OAuth2 (https://docs.n8n.io/integrations/builtin/credentials/google/). Save the credentials. AI Model Setup Use Google Gemini (PaLM) or Groq AI models for NLP: Sign up at Google AI Studio (https://aistudio.google.com/) or Groq Console (https://console.groq.com/). Create API credentials and get your API keys. In n8n, create credentials for any of the one AI model: Google Gemini API credentials. Groq API credentials. The workflow uses these AI nodes to parse Telegram messages and extract structured trade data. An n8n automation workflow template by Malik Hashir.

By Sk developer

🎵 Spotify to MP3 → Upload to Google Drive Automate the process of converting Spotify track URLs into MP3 files, uploading them to Google Drive, and instantly generating shareable links — all triggered by a simple form. ✅ What This Workflow Does Accepts a Spotify URL from a form. Sends the URL to Spotify Downloader MP3 API on RapidAPI. Waits briefly for conversion. Downloads the resulting MP3 file. Uploads it to Google Drive. Sets public sharing permissions for easy access. 🧩 Workflow Structure | Step | Node Name | Description | |------|--------------------------------|-----------------------------------------------------------------------------| | 1 | On form submission | Collects Spotify track URL via an n8n Form Trigger node. | | 2 | Spotify Rapid API | Calls Spotify Downloader MP3 API to generate the MP3 download link. | | 3 | Wait | Ensures download link is processed before proceeding. | | 4 | Downloader | Downloads the MP3 using the generated link. | | 5 | Upload MP3 to Google Drive | Uploads the file using Google Drive credentials. | | 6 | Update Permission | Makes the uploaded file publicly accessible via a shareable link. | 🔧 Requirements n8n instance (self-hosted or cloud) RapidAPI account & subscription to Spotify Downloader MP3 API Google Cloud service account with Drive API access Active Google Drive (root or specified folder) 🚀 How to Use Set up Google API credentials in n8n. Subscribe to the Spotify Downloader MP3 API on RapidAPI. Insert your RapidAPI key into the HTTP Request node. Deploy the workflow and access the webhook form URL. Submit a Spotify URL — the MP3 gets downloaded, uploaded, and shared. 🎯 Use Cases 🎧 Music collectors automating downloads 🧑‍🏫 Teachers creating music-based lessons 🎙 Podcasters pulling music samples 📥 Anyone who needs quick Spotify → MP3 conversion 🛠 Tech Stack n8n**: Visual workflow automation RapidAPI**: Spotify Downloader MP3 API Google Drive**: File storage and sharing Form Trigger**: Input collection interface HTTP Request Node**: Handles API communication 🔐 Notes on Security Do not expose your x-rapidapi-key publicly. Use environment variables or n8n credentials for secure storage. Adjust sharing permissions (reader, writer, or restricted) per your needs. 🔗 API Reference 🎵 Spotify Downloader MP3 API – skdeveloper 📦 Tags spotify mp3 google-drive automation rapidapi n8n music. An n8n automation workflow template by Sk developer.

By Evoort Solutions

🖼️ Image-to-Image AI Generator from Google Sheets with Google Drive Upload ✅ Use Case Automatically generate AI images from prompts listed in a Google Sheet, upload the images to Google Drive, and log the result back into the sheet. Uses the image-to-image-gpt API for fast, customizable generation. 💡 Problem It Solves Manual image generation workflows are inefficient and error-prone. Creative and content teams often have to: Manually paste prompts into image generation tools Save images locally Upload to Google Drive Paste the link back into tracking spreadsheets This automation removes all that friction—turning one spreadsheet into a complete image creation pipeline. 🌟 Benefits 🔁 Fully automated image generation 📤 Direct uploads to Google Drive 🧾 Image links and timestamps logged in Google Sheets ⚠️ Built-in error logging for API failures 🧩 Modular and easily extensible 📊 Keeps a historical log of successes and errors 🧩 Workflow Overview | Node | Description | |------|-------------| | 1. Manual Trigger | Starts the workflow when executed manually | | 2. Google Sheets2 | Reads all rows from the input Google Sheet | | 3. Loop Over Items | Processes one row (prompt) at a time | | 4. If2 | Filters only rows where Prompt is not empty and drive path is empty | | 5. HTTP Request1 | Calls the image-to-image-gpt API with the prompt | | 6. If1 (Error Handling) | If an error exists in the API response, route to logging | | 7. Google Sheets4 (Error Log) | Appends error details to a log sheet for review | | 8. Code1 | Decodes the base64 image returned by the API | | 9. Google Drive1 | Uploads the image to a selected Google Drive folder | | 10. Google Sheets1 (Write Back) | Updates the original row with the image drive path and timestamp | | 11. Wait | Delays the next prompt to prevent hitting API rate limits | 🛠 Tech Stack n8n** (no-code automation) Google Sheets** (data input/output) Google Drive** (image storage) image-to-image-gpt API via RapidAPI JavaScript (in Code node)** for base64 processing 📝 Sheet Format Your Google Sheet should include the following columns: | Column | Purpose | |----------------|----------------------------------| | Prompt | The AI prompt to send to the API | | Image url | (Optional) Initial image URL | | drive path | Updated with Drive link by flow | | Generated Date | Auto-filled by the workflow | | Base64 | Stores raw or error data | 🚀 How to Use Import this workflow into your n8n instance Set up Google Sheets and Google Drive service credentials Add your RapidAPI key in the HTTP Request node headers Use the image-to-image-gpt endpoint in the HTTP request Configure the Google Sheet and Drive folder in the respective nodes Execute manually or add a Cron node for scheduling 📌 Example Applications 🛍 eCommerce: Auto-generate product mockups 🧵 Fashion/Design: Visualize styles or fabrics from prompts ✍️ Blogging/Content: Auto-generate header images from titles 📣 Marketing: Generate ad banners from text 🧪 Tips You can add a Cron node if you want this to run on a schedule Use a separate tab/sheet for logging failed prompts Extend the flow by adding: Email notifications Slack alerts File name templating Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!. An n8n automation workflow template by Evoort Solutions.

By David Olusola

⚡ Solar Lead Reactivation Automation This workflow helps solar sales teams reactivate cold leads automatically using value-first SMS follow-ups, AI-powered sentiment detection, real-time alerts, and CRM tracking. It’s designed to recover lost revenue, reduce manual outreach, and book more consultations—on autopilot. ✅ What It Does: Monitors your Google Sheet for leads marked "Ready for Reactivation" Sends personalized SMS messages via Twilio based on savings & ZIP code Waits and escalates: Follow-up SMS → Email → Final urgency SMS Parses all SMS replies using AI sentiment detection Updates your Google Sheet with status, response, and timestamps Sends Telegram alerts for hot leads or unclear replies Updates HubSpot CRM (optional) 🛠️ Setup Steps: Import the workflow into your n8n instance Connect your accounts: Google Sheets Twilio (SMS) Telegram (optional) HubSpot (optional) Use the included Google Sheet template and paste your leads In Twilio, set your webhook to: https://your-n8n-domain/webhook/sms-reply-handler Method: POST Set lead status to “Ready for Reactivation” and watch automation begin! 💼 Requirements: Twilio account with SMS credits Google Sheet with columns like: Lead Name, Phone, ZIP Code, etc. Optional: Telegram Bot for alerts, HubSpot CRM token Need help? Contact: David@daexai.com For advanced setups or white-label solar workflows, reach out. An n8n automation workflow template by David Olusola.

By Khaisa Studio

🚀 Why Choose MCP - Dropbox? Save Time:** Automate bulk actions like copy, move, or delete folders—no more endless clicking. Reduce Errors:** Automated rules keep files organized and error-free. Work Smarter:** Let automation handle the routine, so you can focus on bigger things. Full Dropbox Control:** Manage uploads, archiving, and clean-up automatically. Ready to Grow:** Build custom triggers and workflows to suit your needs. 👤 Who’s It For? IT/Admins:** Automate backups, archiving, and file recovery. Freelancers & Creators:** Easily handle multiple projects and clients. ❓ What Problem Does It Solve? No more manual folder creation, risky bulk moves, or messy searches. Everything’s automated for accuracy and speed—giving you peace of mind and lots of saved time. 🔧 How It Works Trigger: Workflow starts with any new Dropbox action. Automated Operations: Create, move, copy, or delete folders/files as needed. Search: Find specific items instantly. Download: Pull files or folders for backup or edits. Upload: Add new assets to the right place, every time. Cleanup: Archive or remove outdated stuff—automatically. 🛠️ Getting Started Import the workflow .json into n8n. Connect Dropbox: Create a Dropbox dev app and set up OAuth2 in n8n. Tweak Settings: Update folder paths, file names, and trigger events as needed. Assign Credentials: Use your OAuth2 credentials on every Dropbox node. 🔑 Requirements n8n running (cloud or self-hosted) Dropbox account & developer app (OAuth2) Dropbox OAuth2 credentials in n8n (Optional) Your folder structure for smarter automation 🧩 Make It Yours Add Notifications:** Connect with Slack or email for instant updates. Automate Backups:** Schedule syncs to local or other cloud accounts. Use Logic:** Filter or branch tasks by file name, type, or metadata. ⚙️ Key Components MCP Server Trigger Dropbox toolnode (for creating, moving, copying, deleting, searching, uploading, and downloading files/folders) Created by Khaisa Studio Need custom workflows? Contact Khaisa. An n8n automation workflow template by Khaisa Studio.

By NanaB

What it does This n8n workflow creates a cutting-edge, multi-modal AI Memory Assistant designed to capture, understand, and intelligently recall your personal or business information from diverse sources. It automatically processes voice notes, images, documents (like PDFs), and text messages sent via Telegram. Leveraging GPT-4o for advanced AI processing (including visual analysis, document parsing, transcription, and semantic understanding) and MongoDB Atlas Vector Search for persistent and lightning-fast recall, this assistant acts as an external brain. Furthermore, it integrates with Gmail, allowing the AI to send and search emails as part of its memory and response capabilities. This end-to-end solution blurprint provides a powerful starting point for personal knowledge management and intelligent automation. How it works 1. Multi-Modal Input Ingestion 🗣️📸📄💬 Your memories begin when you send a voice note, an image, a document (e.g., PDF), or a text message to your Telegram bot. The workflow immediately identifies the input type. 2. Advanced AI Content Processing 🧠✨ Each input type undergoes specialized AI processing by GPT-4o: Voice notes are transcribed into text using OpenAI Whisper. Images are visually analyzed by GPT-4o Vision, generating detailed textual descriptions. Documents (PDFs) are processed for text extraction, leveraging GPT-4o for robust parsing and understanding of content and structure. Unsupported document types are gracefully handled with a user notification. Text messages are directly forwarded for further processing. This phase transforms all disparate input formats into a unified, rich textual representation. 3. Intelligent Memory Chunking & Vectorization ✂️🏷️➡️🔢 The processed content (transcriptions, image descriptions, extracted document text, or direct text) is then fed back into GPT-4o. The AI intelligently chunks the information into smaller, semantically coherent pieces, extracts relevant keywords and tags, and generates concise summaries. Each of these enhanced memory chunks is then converted into a high-dimensional vector embedding using OpenAI Embeddings. 4. Persistent Storage & Recall (MongoDB Atlas Vector Search) 💾🔍 These vector embeddings, along with their original content, metadata, and tags, are stored in your MongoDB Atlas cluster, which is configured with Atlas Vector Search. This allows for highly efficient and semantically relevant retrieval of memories based on user queries, forming the core of your "smart recall" system. 5. AI Agent & External Tools (Gmail Integration) 🤖🛠️ When you ask a question, the AI Agent (powered by GPT-4o) acts as the central intelligence. It uses the MongoDB Chat Memory to maintain conversational context and, crucially, queries the MongoDB Atlas Vector Search store to retrieve relevant past memories. The agent also has access to Gmail tools, enabling it to send emails on your behalf or search your past emails to find information or context that might not be in your personal memory store. 6. Smart Response Generation & Delivery 💬➡️📱 Finally, using the retrieved context from MongoDB and the conversational history, GPT-4o synthesizes a concise, accurate, and contextually aware answer. This response is then delivered back to you via your Telegram bot. How to set it up (~20 Minutes) Getting this powerful workflow running requires a few key configurations and external service dependencies. Telegram Bot Setup: Use BotFather in Telegram to create a new bot and obtain its API Token. In your n8n instance, add a new Telegram API credential. Give it a clear name (e.g., "My AI Memory Bot") and paste your API Token. OpenAI API Key Setup: Log in to your OpenAI account and generate a new API key. Within n8n, create a new OpenAI API credential. Name it appropriately (e.g., "My OpenAI Key for GPT-4o") and paste your API key. This credential will be used by the OpenAI Chat Model (GPT-4o for processing, chunking, and RAG), Analyze Image, and Transcribe Audio nodes. MongoDB Atlas Setup: If you don't have one, create a free-tier or paid cluster on MongoDB Atlas. Create a database and a collection within your cluster to store your memory chunks and their vector embeddings. Crucially, configure an Atlas Vector Search index on your chosen collection. This index will be on the field containing your embeddings (e.g., embedding field, type knnVector). Refer to MongoDB Atlas documentation for detailed instructions on creating vector search indexes. In n8n, add a new MongoDB credential. Provide your MongoDB Atlas connection string (ensure it includes your username, password, and database name), and give it a clear name (e.g., "My Atlas DB"). This credential will be used by the MongoDB Chat Memory node and for any custom HTTP requests you might use for Atlas Vector Search insertion/querying. Gmail Account Setup: Go to Google Cloud Console, enable the Gmail API for your project, and configure your OAuth consent screen. Create an OAuth 2.0 Client ID for a Desktop app (or Web application, depending on your n8n setup and redirect URI). Download the JSON credentials. In n8n, add a new Gmail OAuth2 API credential. Follow the n8n instructions to configure it using your Google Client ID and Client Secret, and authenticate with your Gmail account, ensuring it has sufficient permissions to send and search emails. External API Services: If your Extract from File node relies on an external service for robust PDF/DocX text extraction, ensure you have an API key and the service is operational. The current flow uses ConvertAPI. Add the necessary credential (e.g., ConvertAPI) in n8n. How you could enhance it ✨ This workflow offers numerous avenues for advanced customization and expansion: Expanded Document Type Support: Enhance the "Document Processing" section to handle a wider range of document types beyond just PDFs (e.g., .docx, .xlsx, .pptx, markdown, CSV) by integrating additional conversion APIs or specialized parsing libraries (e.g., using a custom code node or dedicated third-party services like Apache Tika, Unstructured.io). Fine-tuned Memory Chunks & Metadata: Implement more sophisticated chunking strategies for very long documents, perhaps based on semantic breaks or document structure (headings, sections), to improve recall accuracy. Add more metadata fields (e.g., original author, document date, custom categories) to your MongoDB entries for richer filtering and context. Advanced AI Prompting: Allow users to dynamically set parameters for their memory inputs (e.g., "This is a high-priority meeting note," "This image contains sensitive information") which can influence how GPT-4o processes, tags, and stores the memory, or how it's retrieved later. n8n Tool Expansion for Proactive Actions: Significantly expand the AI Agent's capabilities by providing it with access to a wider range of n8n tools, moving beyond just information retrieval and email External Data Source Integration (APIs): Expand the AI Agent's tools to query other external APIs (e.g., weather, stock prices, news, CRM systems) so it can provide real-time information relevant to your memories. Getting Assistance & More Resources Need assistance setting this up, adapting it to a unique use case, or exploring more advanced customizations? Don't hesitate to reach out! You can contact me directly at nanabrownsnr@gmail.com. Also, feel free to check out my Youtube Channel where I discuss other n8n templates, as well as Innovation and automation solutions. An n8n automation workflow template by NanaB.

By Adrian Bent

This workflow takes two inputs, YouTube video URL (required) and a description of what information to extract from the video. If the description/"what you want" field is left empty, the default prompt will generate a detailed summary and description of the video's contents. However, you can ask for something more specific using this field/input. ++ Don't forget to make the workflow Active and use the production URL from the form node. Benefits Instant Summary Generation - Convert hours of watching YouTube videos to familiar, structured paragraphs and sentences in less than a minute Live Integration - Generate a summary or extract information on the contents of a YouTube video whenever, wherever Virtually Complete Automation - All that needs to be done is to add the video URL and describe what you want to know from the video Presentation - You can ask for a specific structure or tone to better help you understand or study the contents of the video How It Works Smart Form Interface: Simple N8N form captures video URL and description of what's to be extracted Designed for rapid and repeated completion anywhere and anytime Description Check: Uses JavaScript to determine if the description was filled in or left empty If the description field was left empty, the default prompt is, "Please be as descriptive as possible about the contents being spoken of in this video after giving a detailed summary." If the description field is filled, then the filled input will be used to describe what information to extract from the video HTTP Request: We're using Gemini API, specifically the video understanding endpoint We make a post HTTP request passing the video URL and the description of what information to extract Setup Instructions: HTTP Request Setup: Sign up for a Google Cloud account, join the Developer Program and get your Gemini API key Get curl for Gemini Video Understanding API The video understanding relies on the inputs from the form, code and HTTP request node, so correct mapping is essential for the workflow to function correctly. Feel free to reach out for additional help or clarification at my Gmail: terflix45@gmail.com, and I'll get back to you as soon as I can. Setup Steps: Code Node Setup: The code node is used as a filter to ensure a description prompt is always passed on. Use the JavaScript code below for that effect: // Loop over input items and add a new field called 'myNewField' to the JSON of each one for (const item of $input.all()) { item.json.myNewField = 1; if ($input.first().json['What u want?'].trim() == "") { $input.first().json['What do you want?'] = "Please be as descriptive as possible about the contents being spoken of this video after giving a detailed summary"; } } return $input.all(); // End of Code HTTP Request: To use Gemini Video Understanding, you'll need your Gemini API key Go to https://ai.google.dev/gemini-api/docs/video-understanding#youtube. This link will take you directly to the snippet. Just select REST programming language, copy that curl command, then paste it into the HTTP Request node Replace "Please summarize the video in 3 sentences." with the code node's output, which should either be the default description or the one entered by the user (second output field variable) Replace "https://www.youtube.com/watch?v=9hE5-98ZeCg" with the n8n form node's first output field, which should be the YouTube video URL variable Replace $GEMINI_API_KEY with your API key Redirect: Use n8n form node, page type "Final Ending" to redirect user to the initial n8n form for another analysis or preferred destination. An n8n automation workflow template by Adrian Bent.

By Yang

📄 What this workflow does This workflow helps you analyze Google reviews of any business to generate powerful marketing insights. By simply submitting a business name and its Google Place ID, it fetches the top 30 reviews and uses GPT-4 (via LangChain Agent) to extract valuable customer insights such as marketing angles, customer motivations, product pain points, and voice of customer (VOC) quotes. The output is stored automatically in a connected Google Sheet. 👤 Who is this for Marketing teams looking for messaging inspiration Founders or product managers exploring customer feedback Brand strategists gathering real-world insights Agencies running VOC or sentiment analysis 🛠️ Requirements Dumpling AI API key** OpenAI GPT-4 or GPT-4o access** Google Sheets connection** A form or manual input with: Business Name Google Place ID ⚙️ How to set up Connect Credentials Dumpling AI (via HTTP Header Auth) OpenAI (GPT-4) Google Sheets (OAuth2) Prepare your Google Sheet Create columns: Business Name, Place ID, Marketing Angles, Customer Motivations, Frictions and Barriers, Product Opportunities, VOC Snippets Update Nodes Replace the Google Sheets Document ID and Tab Name with yours Check that the Dumpling API node is linked to your credential Optional: tweak the prompt in the LangChain Agent node to fit your tone or goals 🤖 How it works (Workflow Steps) User submits business name + Google Place ID Dumpling AI fetches top 30 reviews Workflow aggregates review text GPT-4 via LangChain analyzes the reviews Insights are parsed and logged to Google Sheets 💡 Customization Ideas Push output to Notion, Airtable, or Slack Add sentiment scoring to prioritize themes Create summaries for each insight category Schedule insights to be emailed weekly This is a plug-and-play VOC research workflow — great for founders, marketers, and product teams who want actionable data from real customers without doing manual review scraping or summarizing. An n8n automation workflow template by Yang.

By Rostislav

This n8n template provides a complete solution for Optical Character Recognition (OCR) of image and PDF files directly within Telegram Users can simply send PNG, JPEG, or PDF documents to your Telegram bot, and the workflow will process them, extract text using Mistral OCR, and return the content as a downloadable Markdown (.md) text file. Key Features & How it Works: Effortless OCR via Telegram**: Users send a file to the bot, and the system automatically detects the file type (PNG, JPEG, or PDF). File Size Validation: The workflow enforces a **25 MB file size limit, in line with Telegram Bot API restrictions, ensuring smooth operation. Mistral-Powered Recognition: Leveraging **Mistral OCR, the template accurately extracts text from various document types. Markdown Output**: Recognized text is automatically converted into a clean Markdown (.md) text file, ready for easy editing, storage, or further processing. Secure File Delivery: The processed Markdown file is delivered back to the user via Telegram. For this, the workflow ingeniously uses a **GET request to itself (acting as a file downloader proxy). This generated link allows Telegram to fetch the .md file directly. Please note: This download functionality requires the workflow to be in an Active status. Optional Whitelist Security: Enhance your bot's security with an **optional whitelist feature. You can configure specific Telegram User IDs to restrict access, ensuring only authorized users can interact with your bot. Simplified Webhook Management**: The template includes dedicated utility flows for convenient management of your Telegram bot's webhooks (for both development and production environments). This template is ideal for digitizing documents on the go, extracting text from scanned files, or converting image-based content into versatile, searchable text. Getting Started To get this powerful OCR bot up and running, follow these two main steps: Set Up Your Telegram Bot: First, you'll need to configure your Telegram bot and its webhooks. Follow the instructions detailed in the Telegram Bot Webhook Setup section to create your bot, obtain its API token, and set up the necessary webhook URLs. Configure Bot Settings: Next, you'll need to define key operational parameters for your bot. Proceed to the Settings Configuration section and populate the variables according to your preferences, including options for whitelist access. An n8n automation workflow template by Rostislav.

By MRJ

:car: Business Value Proposition Accelerates ISO 26262 compliance for automotive/industrial systems by automating safety analysis while maintaining rigorous audit standards. :gear: How It Works graph TD A[Engineer uploadssystem description] --> B(LLM identifies hazards) B --> C(LLM scores risks per ISO 26262) C --> D(Generates mitigation strategies) D --> E(Produces audit-ready reports) :chart_with_upwards_trend: Key Benefits Time 50-70% faster than manual HAZOP/FMEA sessions Instant report generation vs. weeks of documentation Risk Mitigation Pre-validated templates reduce human error Auto-generated traceability simplifies audits :warning: Governance Controls Human-in-the-loop: All LLM outputs require engineer sign-off Version tracking: Full history of modifications Audit mode: Export all decision rationales :computer: Technical Requirements Runs on existing n8n instances Docker deployment (<1hr setup) Integrates with JAMA/DOORS (optional) :wrench: Setup and Usage Prerequisites Docker (Install Guide) Docker Compose (Install Guide) n8n instance (Free Self-Hosted or Cloud - Paid) OpenAI API key (Get Key) Enterprise-ready deployment: When supported by IT infrastructure teams, this solution transforms into a scalable AI safety assistant, providing real-time HARA guidance akin to engineering Co-pilot tools. :arrow_down: Installation and :play_or_pause_button: Running the Workflow For installation procedures and usage of workflow, refer the repository :warning: Validation & Limitations AI-Assisted Analysis Considerations | Advantage | Mitigation Strategy | Implementation Example | |-----------|---------------------|------------------------| | Rapid hazard identification | Human validation layer | Manual review nodes in workflow | | Consistent S/E/C scoring | Rule-based validation | ASIL-D → Redundancy check | | Edge case coverage | Cross-reference with historical data | Integration with incident databases | Critical Validation Steps AI Output Review node in n8n Example: (by code) { "type": "function", "parameters": { "functionCode": "if ($input.item.json.ASIL === 'D' && !$input.item.json.redundancy) throw new Error('ASIL D requires redundancy');" } } Version Control Prompt versions tied to ISO standard editions (e.g., ISO26262:2018-v1.2) Git-tracked changes to ai_models/training_data/ Audit trails Providing a log structure for audit trails Log structure /logs/ └── YYYY-MM-DD/ ├── hazards_approved.log └── hazards_rejected.log. An n8n automation workflow template by MRJ.

By Dr. Firas

AI-Powered HR Workflow: CV Analysis and Evaluation from Gmail to Sheets Who is this for? This workflow is designed for HR professionals, recruiters, startup founders, and operations teams who receive candidate resumes by email and want to automate the evaluation process using AI. It's ideal for teams that receive high volumes of applications and want to streamline screening without sacrificing quality. What problem is this workflow solving? Manually reviewing every resume is time-consuming, inconsistent, and often inefficient. This workflow automates the initial screening process by: Extracting resume data directly from incoming emails Analyzing resumes using GPT-4 to evaluate candidate fit Saving scores and notes in Google Sheets for easy filtering It helps teams qualify candidates faster while staying organized. What this workflow does Detects when a new email with a CV is received (Gmail) Filters out non-relevant messages using an AI classifier Extracts the resume text (PDF parsing) Uploads the original file to Google Drive Retrieves job offer details from a connected Google Sheet Uses GPT-4 to evaluate the candidate’s fit for the job Parses the AI output to extract the candidate's score Logs the results into a central Google Sheet Sends a confirmation email to the applicant Setup Install n8n self-hosted Add your OpenAI API Key in the AI nodes Enable the following APIs in your Google Cloud Console: Gmail API Google Drive API Google Sheets API Create OAuth credentials and connect them in n8n Configure your Gmail trigger to watch the inbox receiving CVs Create a Google Sheet with columns like: Candidate, Score, Job, Status, etc. How to customize this workflow to your needs Adjust the AI scoring prompt to match your company’s hiring criteria Add new columns to the Google Sheet for additional metadata Include Slack or email notifications for each qualified candidate Add multiple job profiles and route candidates accordingly Add a Telegram or WhatsApp step to notify HR in real time 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube. An n8n automation workflow template by Dr. Firas.

By ResilNext

📋 Description This n8n workflow streamlines AI-powered post creation with image banners, includes manual approval steps, and publishes to LinkedIn — all dynamically. It uses ImageKit.io to edit images, stores them on S3, and generates and revises posts through a Mistral AI Agent with human review. 🧠 How it Works (High-Level) 🔄 Triggered via incoming chat message 🧠 AI drafts a post and adds image instructions 🖼️ ImageKit API adds text overlay to image ☁️ Image is uploaded to S3 for public use 🧑‍⚖️ Human approval step via email 🔁 Optional revision loop 📢 Publishes approved content to LinkedIn 🛠️ Setup Requirements 🔑 API key for ImageKit.io 🧠 AI model via Mistral (or substitute like OpenAI) 📩 Email setup for Approval node ☁️ AWS S3 Bucket access 🔗 LinkedIn credentials for posting. An n8n automation workflow template by ResilNext.

By ResilNext

📝 Description This workflow helps automatically classify incoming emails using a combination of conditional logic and minimal AI-based classification. The system checks email content, performs sentiment analysis, uses OpenAI for categorization, and routes emails accordingly — with smart but efficient use of LLMs and AI Agents. ⚙️ How it works Trigger: An IMAP Email Trigger initiates the workflow upon receiving a new email. Code Block: Parses essential data from the email. Switch Node: Routes emails based on classification. LLM Chain: Processes specific email cases (e.g., inquiries or complaints). AI Agent (Minimal): Used only when other methods cannot determine intent. Email Responses: Sends tailored replies or routes to support/sales teams accordingly. Sentiment Analysis: Assists with tone evaluation for better response routing. 🧩 Set up steps Estimated setup time: 10–15 minutes You’ll need: An IMAP-compatible email account OpenAI or any compatible LLM provider Pinecone (optional, for vector memory) SMTP credentials for sending email Replace placeholder credentials in sticky notes before running. An n8n automation workflow template by ResilNext.

By Parth Pansuriya

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Send Automated Personalized Birthday Emails Using Google Sheets, OpenRouter AI, and Gmail 🧠 What This Workflow Does This workflow sends personalized birthday greetings via email every morning using data from Google Sheets and messages generated with AI. It’s great for communities, schools, small businesses, or anyone who wants to automate meaningful connections. ⚙️ Features 🗓 Daily Birthday Check — Runs every day at 9 AM 📋 Google Sheets Integration — Reads user data: Name, Email, DOB 🔍 Smart Date Matching — Extracts day & month from DOB to match today’s date 🤖 OpenRouter AI Integration — Generates a custom subject + email message 🛠 Function Node Cleanup — Separates AI response into subject & body 📬 Gmail Node — Sends personalized birthday wishes instantly 🔧 Tech Stack Google Sheets OpenRouter (or OpenAI-compatible model) Gmail 💡 Use Cases Educators sending birthday emails to students Team leads acknowledging team members’ birthdays Freelancers staying in touch with clients 1Coaches or mentors maintaining personal rapport 📝 Requirements Google Sheet with columns: Name, DOB (DD/MM/YYYY), and Email Gmail account with OAuth2 connected OpenRouter (or OpenAI) API key Basic understanding of n8n nodes. An n8n automation workflow template by Parth Pansuriya.

By Marth - Business Automation

⚙️ How it works Workflow starts from a manual trigger or form submission with project details. It extracts key input data like client name, email, project type, deadline, and brand folder (optional). A Google Drive folder is automatically created inside a designated parent folder. The shareable link of the newly created folder is generated. A personalized email is composed and sent to the client using Gmail, including project details and folder link. 🛠️ Set up steps Google Drive Setup: Connect your Google Drive credentials in n8n. Set the parent folder ID where all project folders should be created. Gmail Setup: Connect a Gmail account with proper access. Customize the subject and message template in the Gmail node. Input Data Preparation: Ensure the following input fields are provided: client_name contact_email project_type deadline brand_drive_folder (optional) Test & Deploy: Use mock data or a test trigger to validate the workflow. Once confirmed, deploy it with the actual trigger (e.g. webhook, form submission). An n8n automation workflow template by Marth - Business Automation.

By Mohamed Abdelwahab

Automates the process of generating, storing, and publishing engaging LinkedIn posts derived from books (PDFs) using AI and vector search. 🧠 Overview This workflow: Watches a Google Drive folder for new or updated book PDFs. Extracts and embeds the content using OpenAI. Stores the data in a Pinecone vector database. Uses a LangChain agent to generate post ideas. Creates concise LinkedIn posts with hook, insight, CTA. Updates a Google Sheet and posts to LinkedIn. 🛠 Workflow Breakdown 📥 1. Google Drive Trigger Trigger:** Watches a folder for new or updated PDF files. Action:** Downloads the updated PDF. 📄 2. Extract and Embed Content Extract from File:** Parses PDF to extract text. Text Splitter:** Breaks text into chunks. Embeddings (OpenAI):** Converts chunks into vector embeddings. Pinecone Vector Store:** Saves the embeddings with the book name as namespace. 🧠 3. Post Idea Generation (LangChain Agent) Uses a prompt to: Search Pinecone DB Extract insights Format into 5 LinkedIn post ideas with: Hook Insight CTA Memory buffer** and structured output parser are used for clean AI interaction. ✍️ 4. Post Creation Each idea is: Split Rewritten with a GPT model prompt to match LinkedIn tone Styled for under 600 characters Includes emojis, hashtags, and tone guidelines 📊 5. Google Sheet Integration Saves all generated posts to a Google Sheet. Marks status: "published" or "no". 🔁 6. Scheduled Publishing Every day: Pulls an unpublished post Publishes it to LinkedIn Updates the post's status and timestamp in the Google Sheet ⚙️ Setup Guide 📂 Google Drive Create a folder for book PDFs Connect your Google Drive account to n8n Provide access token with file read permission 📊 Google Sheets Create a Google Sheet with columns: bookname, hook, insight, cta, postContent, published, date Add credentials in n8n with read/write permission 🧠 Pinecone Set up a Pinecone project and index (linkdenpost) Namespace will be auto-named using the book filename 🔑 API Credentials Required OpenAI API** (for embeddings and post generation) Pinecone API** (for vector storage and retrieval) LinkedIn OAuth2** (to publish posts) Google Drive & Sheets** credentials 🔁 Flow Summary graph TD A[Google Drive Trigger] --> B[Download PDF] B --> C[Extract Text] C --> D[Text Splitter] D --> E[Create Embeddings] E --> F[Pinecone Vector Store] F --> G[LangChain Agent] G --> H[Structured Output (5 Post Ideas)] H --> I[Split Ideas] I --> J[Format as LinkedIn Post (GPT)] J --> K[Store in Google Sheet] L[Schedule Trigger] --> M[Get Unpublished Post] M --> N[Post to LinkedIn] N --> O[Mark as Published] 🧪 Prompt Example (Used in LangChain Agent) You are a content strategist. Search the Pinecone vector DB containing a book. Generate 5 unique LinkedIn post ideas with: A Hook (curiosity driven) Insight (summary < 100 words) CTA ("Agree or disagree?", etc.) Respond in structured JSON: [ { "Hook": "...", "Insight": "...", "CTA": "..." }, ... ] ✅ Output Sample { "Hook": "Why your lab's results might be invalid 😱", "Insight": "ISO/IEC 17025 stresses that labs must plan and address risks to impartiality and validity.", "CTA": "Does your lab audit for these risks?" } 📆 Schedule Control Uses Schedule Trigger to post daily at a set time. Ensures automation with LinkedIn and accurate Google Sheet syncing. 📝 Notes Posts remain professional and concise for a LinkedIn audience Works with any PDF book Supports multi-book pipelines You can filter and tag books by filename or folder for segmenting post styles. An n8n automation workflow template by Mohamed Abdelwahab.

By Rodrigue Gbadou

How it works This comprehensive recruitment automation workflow transforms your hiring process from manual screening to intelligent candidate management. The system begins by automatically collecting CVs from multiple job boards and career platforms, immediately parsing each submission using advanced AI technology to extract key information including skills, experience levels, educational background, and career progression patterns. Once parsed, the workflow employs predictive scoring algorithms that evaluate each candidate against your specific job requirements and company culture criteria. This multi-dimensional analysis considers technical skills alignment, experience relevance, cultural fit indicators, and career trajectory patterns to generate compatibility scores with remarkable accuracy. The system then seamlessly transitions qualified candidates into automated interview scheduling, coordinating availability across hiring managers, team members, and candidates while optimizing for timezone considerations and calendar conflicts. Finally, successful candidates enter a personalized onboarding workflow that adapts to their role, department, and experience level, ensuring smooth integration into your organization. Target audience and problem solved This workflow is designed for HR departments, talent acquisition teams, and growing companies struggling with time-intensive recruitment processes. It specifically addresses the challenges of manual CV screening, subjective candidate evaluation, scheduling conflicts, and inconsistent onboarding experiences. Organizations processing high volumes of applications or seeking to eliminate recruitment bias while maintaining quality standards will benefit most from this automation. Set up steps Prerequisites: Ensure you have API access to your chosen AI parsing service (OpenAI, Affinda, or equivalent), active accounts on target job boards, and administrative access to your calendar and ATS systems. Configure job board integrations: Connect your LinkedIn Recruiter, Indeed, and Glassdoor accounts using their respective APIs. Set up webhook endpoints to automatically capture new CV submissions and configure filtering criteria based on job titles, locations, and basic qualifications. Establish AI parsing service: Choose and configure your CV analysis provider (OpenAI for natural language processing, Affinda for specialized CV parsing, or alternative services). Set up API credentials and define extraction templates for skills, experience, education, and custom fields relevant to your industry. Integrate calendar systems: Connect Google Calendar, Outlook, or your preferred scheduling platform. Configure availability windows for all hiring team members, set interview duration templates, and establish buffer times between meetings. Synchronize ATS platform: Link your Applicant Tracking System (Workday, BambooHR, Greenhouse, etc.) to ensure seamless candidate data flow. Map workflow fields to your ATS schema and establish status update triggers. Connect interview tools: Integrate video conferencing platforms (Zoom, Microsoft Teams, Google Meet) for automatic meeting room creation and invitation distribution. Configure recording settings and waiting room preferences. Link HRMS for onboarding: Connect your Human Resource Management System to trigger personalized onboarding sequences based on role type, department, and seniority level. Key Features 🧠 Advanced CV analysis**: Leverages machine learning to automatically extract and categorize skills, experience, education, certifications, and career progression patterns with 95% accuracy 📊 Multi-criteria scoring**: Implements customizable evaluation matrices considering technical skills, soft skills, experience relevance, cultural fit indicators, and growth potential 📅 Intelligent scheduling**: Automatically coordinates complex interview schedules across multiple stakeholders, considering time zones, availability preferences, and interview type requirements 🎯 Precise candidate matching**: Generates compatibility percentages based on job requirements, team dynamics, and long-term career alignment factors ⚡ Accelerated recruitment cycle**: Reduces time-to-hire by up to 60% through automated screening, intelligent prioritization, and streamlined communication workflows 👥 Collaborative evaluation**: Enables structured feedback collection from multiple interviewers with standardized scoring rubrics and consensus-building tools 📱 Enhanced candidate experience**: Provides mobile-optimized interfaces for application tracking, interview scheduling, and communication throughout the recruitment journey 🔄 Continuous optimization**: Automatically tracks and analyzes recruitment metrics to continuously improve scoring algorithms and process efficiency Customization options The workflow offers extensive customization capabilities including adjustable scoring weights for different criteria, industry-specific skill taxonomies, custom interview formats, and role-based onboarding paths. Organizations can configure approval workflows, set up custom notification templates, and establish specific integration parameters to match their unique recruitment processes and company culture. This automation solution transforms recruitment from a time-intensive manual process into a strategic, data-driven system that improves both hiring quality and candidate experience while significantly reducing administrative overhead. An n8n automation workflow template by Rodrigue Gbadou.

By Anurag

Description This workflow automates the extraction of structured data from invoices or similar documents using Docsumo's API. Users can upload a PDF via an n8n form trigger, which is then sent to Docsumo for processing and structured parsing. The workflow fetches key document metadata and all line items, reconstructs each invoice row with combined header and item details, and finally exports all results as an Excel file. Ideal for automating invoice data entry, reporting, or integrating with accounting systems. How It Works A user uploads a PDF document using the integrated n8n form trigger. The workflow securely sends the document to Docsumo via REST API. After uploading, it checks and retrieves the parsed document results. Header information and table line items are extracted and mapped into structured records. The complete result is exported as an Excel (.xls) file. Setup Steps Docsumo Account: Register and obtain your API key from Docsumo. n8n Credentials Manager: Add your Docsumo API key as an HTTP header credential (never hardcode the key in the workflow). Workflow Configuration: In the HTTP Request nodes, set the authentication to your saved Docsumo credentials. Update the file type or document type in the request (e.g., "type": "invoice") as needed for your use case. Testing: Enable the workflow and use the built-in form to upload a sample invoice for extraction. Features Supports PDF uploads via n8n’s built-in form or via API/webhook extension. Sends files directly to Docsumo for document data extraction using secure credentials. Extracts invoice-level metadata (number, date, vendor, totals) and full line item tables. Consolidates all data in easy-to-use Excel format for download or integration. Modular node structure, easily extensible for further automation. Prerequisites Docsumo account with API access enabled. n8n instance with form, HTTP Request, Code, and Excel/Convert to File nodes. Working Docsumo API Key stored securely in n8n’s credential manager. Example Use Cases | Scenario | Benefit | |---------------------|-----------------------------------------| | Invoice Automation | Extract line items and metadata rapidly | | Receipts Processing | Parse and digitize business receipts | | Bulk Bill Imports | Batch process bills for analytics | Notes Credentials Security:** Do not store your API key directly in HTTP Request nodes; always use n8n credentials manager. Sticky Notes:** The workflow includes sticky notes for setup, input, API call, extraction, and output steps to assist template users. Custom Columns:** You can customize header or line item extraction by editing the Code node as needed. An n8n automation workflow template by Anurag.

By Anurag

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This workflow automates document processing and structured table extraction using the Nanonets API. You can submit a PDF file via an n8n form trigger or webhook—the workflow then forwards the document to Nanonets, waits for asynchronous parsing to finish, retrieves the results (including header fields and line items/tables), and returns the output as an Excel file. Ideal for automating invoice, receipt, or order data extraction with downstream business use. How It Works A document is uploaded (via n8n form or webhook). The PDF is sent to the Nanonets Workflow API for parsing. The workflow waits until processing is complete. Parsed results are fetched. Both top-level fields and any table rows/line items are extracted and restructured. Data is exported to Excel format and delivered to the requester. Setup Steps Nanonets Account: Register for a Nanonets account and set up a workflow for your specific document type (e.g., invoice, receipt). Credentials in n8n: Add HTTP Basic Auth credentials in n8n for the Nanonets API (never store credentials directly in node parameters). Webhook/Form Configuration: Option 1: Configure and enable the included n8n Form Trigger node for document uploads. Option 2: Use the included Webhook node to accept external POSTs with a PDF file. Adjust Workflow: Update any HTTP nodes to use your credential profile. Insert your Nanonets Workflow ID in all relevant nodes. Test the Workflow: Enable the workflow and try with a sample document. Features Accepts documents via n8n Form Trigger or direct webhook POST. Securely sends files to Nanonets for document parsing (credentials stored in n8n credentials manager). Automatically waits for async processing, checking Nanonets until results are ready. Extracts both header data and all table/line items into a tabular format. Exports results as an Excel file download. Modular nodes allow easy customization or extension. Prerequisites Nanonets account** with workflow configured for your document type. n8n** instance with HTTP Request, Webhook/Form, Code, and Excel/Spreadsheet nodes enabled. Valid HTTP Basic Auth credentials** saved in n8n for API access. Example Use Cases | Scenario | Benefit | |-----------------------|--------------------------------------------------| | Invoice Processing | Automated extraction of line items and totals | | Receipt Digitization | Parse amounts and charges for expense reports | | Purchase Orders | Convert scanned POs into structured Excel sheets | Notes You must set up credentials in the n8n credentials manager—do not store API keys directly in nodes. All configuration and endpoints are clearly explained with inline sticky notes in the workflow editor. Easily adaptable for other document types or similar APIs—just modify endpoints and result mapping. An n8n automation workflow template by Anurag.

By Anurag

Description This workflow automates the download of new or updated files from a Google Drive folder, processing only files changed since the last run using a timestamp control file. How It Works Triggered on a schedule. Checks for a n8n_last_run.txt file in your Google Drive to read when the workflow last ran. If missing, defaults to processing changes in the last 24 hours. Searches for new or modified files in your specified folder. Downloads new/changed files. Replaces the timestamp file with the current time for future runs. Setup Steps Set up your Google Drive credentials in n8n. Find the Folder ID of the Google Drive folder you wish to monitor. Edit all Google Drive nodes: Select your credentials Paste the Folder ID Adjust the schedule trigger if needed. Activate the workflow. Features No duplicate file processing (idempotent) Handles missing timestamp files Clear logical sticky notes in the editor Modular, extendable design Prerequisites Google Drive API credentials connected to n8n Target Google Drive folder accessible by the credentials. An n8n automation workflow template by Anurag.

By Marth - Business Automation

🔍 How It Works This AI Agent checks your invoice database (Google Sheets) daily and looks for unpaid invoices that are past their due date. It calculates how many days each invoice is overdue (Days Past Due / DPD), then automatically crafts a follow-up message with an appropriate tone: 1–7 days overdue: Friendly reminder 8–14 days overdue: Slightly firm nudge 15+ days overdue: Final warning tone After generating the message, it sends the follow-up via email to the client and logs the interaction. You can extend this to send WhatsApp messages, Slack alerts, or update a CRM. ⚙️ Set Up Steps Connect Google Sheets : Replace YOUR_SHEET_ID in the workflow with the actual Sheet ID Make sure your sheet has these columns: client_name, email, invoice_number, due_date, status Adjust Cron Trigger By default, it runs daily — you can change the frequency in the “Daily Trigger” node. Configure Email Node Set your email sender (Gmail, SMTP, or Mailgun) in the “Send Email” node. Customize Messages (Optional) Modify tone and content in the “Generate Message” node based on your brand style. Run & Monitor Activate the workflow Monitor activity in Google Sheets or add a logging step (Notion, Slack, etc.). An n8n automation workflow template by Marth - Business Automation.

By Kevin

This is a basic helper workflow to abstract the process of sending an alert email through Gmail. It takes in two parameters: Subject Lines (as an array of lines) You'll also need to fill in your email. Notably, all emails it sends have ❗ n8n Alert: prefixed to the subject line, which makes them easy to identify and highlight in an email inbox. In Gmail, this can be done by starring all messages that come in with ❗ n8n Alert: in the subject line, then using the Priority Inbox to push starreed messages to the top. It's important to star the message rather than Mark As Important, because Gmail refuses to mark emails sent by automation as important. An n8n automation workflow template by Kevin.

By Carl Danley

Overview This n8n template demonstrates how you can generate an AI-produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weather Service Alerts. With as crazy as things have been lately in the open world, how will you and your family know when a severe or extreme alert impacts your area? How it Works This workflow is triggered by a webhook which takes a latitude and longitude json payload to identify the area for monitoring. Then, it fetches the National Weather Service Alerts and filters them down to alerts which are currently active and their severity. Next, it fetches the local precipitation value from your Home Assistant instance (a value like "Light Rain" or "No Rain", etc) coupled with your respective weather.gov radar loop image. It then submits this data to OpenAI and produces an output regarding the image analysis. Finally, it takes this analysis and uses OpenAI to again generate a short summary. How to Use Import the workflow into your n8n instance Update the credentials in the problematic nodes Make sure you adjust the radar loop image that is being used Requirements A Home Assistant Instance (you could remove this data if you wanted) An OpenAI account for LLM and image analysis. An n8n automation workflow template by Carl Danley.

By Gain FLow AI

Think of this workflow as your very own J.A.R.V.I.S., the ultimate AI personal assistant, capable of handling a vast array of tasks just like Tony Stark's legendary AI! Overview This n8n workflow creates a highly intelligent, multi-agent AI system designed to act as your all-in-one personal assistant. At its core is Jarvis, the central AI, who smartly understands your requests and delegates them to specialized "supervisor" AIs. These supervisors then activate their own "sub-agents" (smaller AI workflows) to perform specific tasks, covering everything from managing your work to helping with your personal life and getting you the information you need. Use Case This powerful workflow is perfect for anyone who wants to automate and streamline almost any digital task. Imagine having an assistant who can: Boost Productivity:** Manage your calendar, create and update documents (Google Docs, Sheets, Drive), handle tasks (ClickUp, Google Tasks), and keep your customer data organized (Zoho CRM, Airtable). Master Communication:** Draft and search emails, send messages on Slack, and even manage your X (Twitter) interactions. Handle Publishing & Content:** Create images, post on social media (Facebook, X, LinkedIn, Instagram), and manage your WordPress content. Provide Smart Insights:** Perform deep online research, analyze SEO trends, check financial markets, and gather website performance data from Google Analytics. Manage Your Lifestyle:** Keep track of your meal plans and habits in Notion, and even help you with travel planning. This system is designed to intelligently choose the best tool for each part of your request, making complex tasks simple. How It Works It all starts with your input, delivered via WhatsApp. Whether you send a text message, an audio note (which gets transcribed), an image, or a document (from which data like invoices can be extracted), the workflow processes it to understand your need. This input then goes to Jarvis, the central AI. Donna acts like a super-smart manager. It quickly figures out which "supervisor" agent is best for your request: Productivity Supervisor:** For anything work-related – documents, calendars, tasks, or CRM. Communication Supervisor:** For emails, Slack, or X (Twitter). Lifestyle Supervisor:** For personal organization like meals or travel. Insights Supervisor:** For research, SEO, financial data, or website analytics. Publishing Supervisor:** For social media posting, images, or WordPress. Donna then hands off your request to the chosen supervisor. Each supervisor, in turn, uses its own set of specialized "sub-agents" (individual n8n workflows) to get the job done. For example, if you ask Donna to "find me flight information," she directs it to the "Lifestyle Supervisor," which then uses the "Travel Agent" to look up flights. The results are then sent back to you directly through WhatsApp. This "Agent as a Tool" setup means complex tasks are broken down and handled by the right expert AI. How to Set It Up Individual Agent Workflows: This system is built with many specialized AI "agents" working together. To get started, you'll need to set up a separate n8n workflow for each of the individual agents (like "Notion Agent," "Email Agent," "SEO Agent," etc.). Connect Agents: Once created, these individual agent workflows must be correctly linked to their designated "call workflow" tools within the main supervisor workflows. This tells Donna and her supervisors which tools to use for each task. Credentials: Make sure you've properly connected all necessary accounts and API keys (like Google, OpenAI, Slack, Airtable, etc.) within their respective agent workflows. Activate: After setting up and linking all parts and adding your credentials, activate this main workflow. For more detailed setup instructions, please refer to our Detailed Setup Guide. If you need any further help, don't hesitate to email us at info.gainflow@gmail.com. An n8n automation workflow template by Gain FLow AI.

By M Sayed

Stop guessing currency rates! Get a quick and clean exchange rate summary sent right to your phone. 📲 This workflow automatically checks the latest rates and builds a simple report for you. What it does: 🤑 Fetches the very latest exchange rates from an API. 🌍 Shows you what major currencies (like USD & EUR) are worth in your chosen local currency. ✍️ Creates a simple, easy-to-read report. 🚀 Delivers it straight to your Telegram! Setup is easy: All you need to do is set your base currency (e.g., 'EGP') and your Telegram Chat ID. Done! ✅. An n8n automation workflow template by M Sayed.

By Nazmy

Bearer Token Validation This n8n template helps you manage and validate tokens easily using: n8n as your backend workflow engine Airtable as your lightweight token store 🚀 What It Does Stores user tokens securely in Airtable with expiry or usage metadata. Validates incoming tokens in your workflows (e.g., webhook APIs). Rejects invalid or expired tokens automatically for security. Can be extended to generate, rotate, or revoke tokens for user management. How It Works Webhook node receives requests with a Bearer header. Airtable Query looks up the provided token. Validation Logic (Code node): Checks if the token exists. Verifies expiry or usage limits if configured. Returns success if valid, or error if error with describing the issue. Note: This is the simplest way to do auth, just for simplification Why Use This No need for a full backend to manage secure token validation. Clean, modular, and ready for your SaaS workflows. Enjoy building secure automations with n8n + Airtable! 🚀 Built by: Nazmy. An n8n automation workflow template by Nazmy.

By SpaGreen Creative

Bulk WhatsApp Number Verification via Unofficial API Who’s it for This workflow is perfect for marketers, CRM managers, support teams, and data verification agents who need to bulk-check WhatsApp number validity without using the official WhatsApp Business API. It is ideal for teams seeking an affordable and scalable way to clean or validate phone number lists from Google Sheets. Overview This n8n workflow verifies unlimited WhatsApp numbers from a Google Sheet using your own WhatsApp number through the WasenderAPI.com platform. How it works / What it does Fetches real-time data from Google Sheets Verifies if a number is registered on WhatsApp Implements delay and batch processing to maintain rate limits Updates verification status back to the Google Sheet Requirements Before setting up the workflow, ensure you have: An active WhatsApp Account (Personal or Business) Google Sheets API configured within your n8n instance A properly structured Google Sheet, like a sample sheet(Included with the workflow template) A WasenderAPI.com subscription (starting from ~$6/month) Google Sheet Format Use this sample sheet as your base. | WhatsApp No | Verified/Unverified | Status | |---------------|---------------------|------------| | +8801XXXXXXX | (empty) | (empty) | > Ensure the Status column is initially blank for unverified rows. How to set up Step 1: Connect to Google Sheets Add a Google Sheets node. Authenticate with your Google account. Select your target document and worksheet. Apply a filter to only select rows where Status is empty. Step 2: Loop Through Rows with Delay Add a SplitInBatches or Code node to process 5 rows at a time. Add a Wait node (set to 5 seconds) between each request to respect API limits. Step 3: Verify Number via HTTP Request Add an HTTP Request node Method: POST URL: https://app.wasenderapi.com/api/send-message Headers: Content-Type: application/json Authorization: Bearer YOUR_API_KEY Workflow Highlights Triggers every 5 Minutes Reads pending contact from Google Sheets Verify WhatsApp number using WasenderAPI or WhatsApp Cloud API Updates each row’s Status to Checked Support & Community Need help setting up or customizing the workflow? Reach out here: WhatsApp: Chat with Support Discord: Join SpaGreen Server Facebook Group: SpaGreen Community Website: SpaGreen Creative Envato: SpaGreen Portfolio. An n8n automation workflow template by SpaGreen Creative.

By iamvaar

What It Does This n8n workflow monitors Reddit for freelance job posts related to n8n and sends alerts via Telegram while logging relevant data in Google Sheets. It filters out duplicates and only stores unique, paid opportunities. Workflow Steps 1. Schedule Trigger Runs every 5 minutes. 2. Reddit Search Sends a query to Reddit API for freelance-related keywords. 3. Extract Post Metadata Parses out relevant data from Reddit response. 4. Separate Posts Splits array into individual post items. 5. Filter Paid Jobs Matches posts with keywords like "hiring", "paid", "job", etc. 6. Check Existing Records Pulls already logged post IDs from Google Sheets. 7. Filter Unique Posts Uses JavaScript to compare incoming posts with the existing ones and filters out duplicates. 8. Get UTC Date Converts Reddit created_utc timestamp into readable format. 9. Save to Google Sheets Appends unique posts with these fields: id title url flair created_utc 10. Send Telegram Alert Sends a formatted notification with clickable links and meta info. Required Credentials Reddit OAuth2** (application with access to search) Google Sheets API** (via service account) Telegram Bot API** (bot token, chat ID) Google Sheet Configuration Make sure the sheet has these columns: id (used for deduplication) title url flair created_utc > First row must be the header. How to Set It Up Reddit API Create a Reddit App at https://www.reddit.com/prefs/apps Set up OAuth2 credentials in n8n with correct scopes Google Sheets Create a new Google Sheet Share with your service account email Add required columns in the first row Telegram Create a bot via BotFather Copy the bot token Use a private chat or group, get the chat ID Notes Interval**: Adjust schedule node to change frequency Search Query**: You can customize keywords in the Reddit API URL Profanity**: Clean output only; no slang or offensive words Final Output Google Sheets**: A log of all new freelance Reddit posts Telegram**: Instant lead alerts for new job posts. An n8n automation workflow template by iamvaar.

By M Sayed

Keep an eye on gold prices without lifting a finger! 🕵️‍♂️ This workflow checks gold prices every 15 minutes and sends you a neat little report. What it does: ✨ Fetches the live price of gold. 🌍 Converts it into your local currency AND USD. 📊 Creates a simple table with prices for 24k, 21k, and 18k gold. 🔔 Sends the update directly to your Telegram chat! Setup is easy: Just set your local currency (like 'EGP') and your Telegram Chat ID. That's it! ✅. An n8n automation workflow template by M Sayed.

By Zain Ali

🧾 Generate Project Summary from meeting transcript Who’s it for 🤝 Project managers looking to automate client meeting summaries Client success teams needing structured deliverables from transcripts Agencies and consultants who want consistent, repeatable documentation How it works / What it does ⚙️ Trigger: Manual or webhook trigger kicks off the workflow. Get meeting transcript: Reads the raw transcript from a specified Google Docs file. Generate summary: Sends transcript + instructions to OpenAI (gpt-4.1-mini) to produce a structured project summary. Convert to HTML: Transforms the LLM-generated Markdown into styled HTML. Prepare request: Wraps HTML and metadata into a multipart request body. Create Google Doc: Uploads the new “Project Summary” document into your Drive folder. How to set up 🛠️ Credentials Google Docs & Drive OAuth2 credentials OpenAI API key (gpt-4.1-mini) Nodes configuration Manual Trigger / webhook node Google Docs “Get meeting transcript” node: set documentURL AI Chat Model node: select gpt-4.1-mini Markdown node: enable tables & emoji Google Drive “CreateGoogleDoc” node: set target folder ID Paste in your IDs Update documentURL to your transcript doc Update google_drive_folder_id in the Set node Execute Click “Execute Workflow” or call via webhook Requirements 📋 n8n Google OAuth2 scopes for Docs & Drive OpenAI account with GPT-4.1-mini access A Google Drive folder to store summaries How to customize ✨ Output format**: Edit the Markdown prompt in the ChainLlm node to adjust headings or tone Timeline section**: Extend LLM prompt template with your own phase table Styling**: Tweak inline CSS in the Code node (Prepare_Request) for fonts or margins Trigger**: Swap Manual Trigger for HTTP/Webhook trigger to integrate with other tools Language model**: Upgrade to a different model by changing model.value in the AI node. An n8n automation workflow template by Zain Ali.

By M Sayed

Get a fun and clear weather report sent to your phone automatically! 📰 This little bot wakes up, checks the weather for you, and builds a super simple summary of your day. What it does: 🌡️ Grabs the current temperature and what it actually feels like. 📉 Figures out the high and low for the whole day. 📅 Gives you a 5-day forecast so you can plan your week. ✈️ Sends it all to you in a clean Telegram message! Setup is easy: Just plug in your info for Telegram, add your location, and you're good to go! ✨. An n8n automation workflow template by M Sayed.

By Nick Saraev

AI Upwork Application Agent with OpenAI & Google Docs Categories: AI Agents, Freelance Automation, Proposal Generation This workflow creates an intelligent AI agent that automates Upwork job applications by generating highly personalized proposals, professional Google Doc presentations, and visual workflow diagrams. Built by someone who earned over $500,000 on Upwork, this system demonstrates the exact templates and strategies that achieve superior response rates through perceived customization and value demonstration. Benefits Complete Application Automation** - Transform job descriptions into custom proposals, documents, and diagrams in minutes Proven Templates** - Based on $500K+ in Upwork earnings using exact strategies for high-converting applications Intelligent Personalization** - AI analyzes job requirements and customizes responses with relevant social proof Professional Asset Generation** - Creates Google Doc proposals and Mermaid workflow diagrams for enhanced perceived value Modular Architecture** - Three specialized sub-workflows handle different aspects of proposal generation High Response Rates** - Focuses on perceived customization and value demonstration over generic applications How It Works AI Agent Orchestration: Receives Upwork job descriptions through chat interface Maintains conversation context with window buffer memory Coordinates three specialized sub-workflows for comprehensive proposal generation Automatically integrates generated assets into cohesive application packages Application Copy Generation: Uses proven templates based on $500K+ Upwork success Follows structure: "Hi, I do [thing] all the time. So confident I created a demo: [link]" Incorporates personal social proof and achievements automatically Generates concise, spartan-toned applications that avoid generic AI language Google Doc Proposal Creation: Copies professional proposal template from Google Drive Generates structured content including system title, explanation, scope, and timeline Uses find-and-replace to populate template with AI-generated, personalized content Creates shareable documents with proper permissions for immediate client access Mermaid Diagram Visualization: Analyzes job requirements to create relevant workflow diagrams Generates Mermaid.js code for professional flowchart visualization Provides visual representation of proposed solutions Enhances perceived value through custom diagram creation Smart Template Integration: Automatically replaces placeholder text with generated Google Doc links Maintains consistent messaging across all generated assets Ensures cohesive presentation of application, proposal, and supporting materials Required Setup Configuration Personal Information Setup: Update the "aboutMe" variable in both Set Variable nodes with your credentials: Professional background and specializations Notable client achievements with specific revenue numbers Social proof elements (community size, subscriber count, etc.) Relevant project examples with quantified results Google Services Integration: Google Drive API Setup: Enable Google Drive API in Google Cloud Console Create OAuth2 credentials (Client ID and Client Secret) Connect n8n to Google Drive with proper permissions Google Docs Template: Copy the provided Google Docs proposal template to your Drive Update the template ID in the Google Drive node Customize template with your branding and standard language Google Docs API: Ensure Google Docs API is enabled in your Google Cloud project Test document creation and sharing permissions OpenAI API Configuration: Set up OpenAI API credentials across all OpenAI nodes Configure appropriate models (GPT-4O-mini recommended for speed) Set temperature to 0.7 for optimal personalization balance Monitor API usage to control costs Template Customization: Application Template**: Modify the proposal structure in OpenAI prompts to match your services Google Doc Template**: Update the document template with your standard proposal format Personal Details**: Replace all placeholder information with your actual achievements and social proof Business Use Cases Freelance Professionals** - Automate high-quality Upwork applications across multiple job categories Automation Specialists** - Demonstrate capabilities through automated proposal generation itself Service Providers** - Scale application volume while maintaining personalization quality Agency Owners** - Offer proposal automation services to freelance clients Consultants** - Streamline business development with automated custom proposals Content Creators** - Generate professional project proposals with visual workflow representations Revenue Potential This system transforms freelance business development: 10x Application Speed**: Generate comprehensive proposals in minutes vs. hours Higher Response Rates**: Perceived customization and value demonstration increase client engagement Scalable Outreach**: Apply to more jobs with maintained quality through automation Professional Positioning**: Visual diagrams and structured proposals demonstrate expertise Competitive Advantage**: Deliver proposals faster than competitors through intelligent automation Difficulty Level: Advanced Estimated Build Time: 3-4 hours Monthly Operating Cost: ~$30 (OpenAI + Google APIs) Watch My Complete Live Build Want to see me build this entire system from scratch? I walk through every component live - including the AI agent setup, prompt engineering strategies, Google Docs integration, and all the debugging that goes into creating a production-ready freelance automation system. 🎥 See My Live Build Process: "I Built An AI Agent That Automates Upwork ($500K+ Earned)" This comprehensive tutorial shows the real development process - including advanced prompt engineering, modular workflow design, and the exact business strategies that generated $500K+ in Upwork revenue. Set Up Steps AI Agent Foundation: Configure chat trigger and AI agent node with OpenAI integration Set up window buffer memory for conversation context Define system message with clear agent instructions and behavior rules Sub-Workflow Creation: Build three specialized workflows: Application Copy, Google Doc Proposal, Mermaid Code Configure execute workflow triggers for each sub-workflow Set up proper data passing between agent and sub-workflows Google Services Configuration: Create Google Cloud Console project with Drive and Docs APIs enabled Set up OAuth2 credentials and connect to n8n Copy and customize the proposal template document Personalization Setup: Update all "aboutMe" variables with your specific achievements and social proof Customize prompt templates to match your service offerings and communication style Test individual sub-workflows with sample job descriptions Agent Tool Integration: Connect sub-workflows as tools in the main AI agent Configure proper tool descriptions and response property names Test complete agent functionality with realistic job posting scenarios Template Optimization: Refine proposal templates based on your specific service offerings Adjust AI prompts for optimal personalization and response quality Test with various job types to ensure consistent quality output Advanced Optimizations Scale the system with: Job Scraping Integration:** Automatically discover and apply to relevant Upwork jobs Response Tracking:** Monitor application success rates and optimize templates Multi-Platform Support:** Extend to other freelance platforms (Fiverr, Freelancer, etc.) Client Communication:** Automate follow-up sequences for proposal responses Portfolio Integration:** Automatically include relevant portfolio pieces based on job requirements Important Considerations Template Authenticity:** Customize templates significantly to avoid detection as automated Upwork Compliance:** Ensure applications meet platform guidelines and quality standards Personal Branding:** Maintain consistent voice and positioning across all generated content Response Management:** Be prepared to handle increased application volume and client responses Quality Control:** Regularly review and refine generated content for accuracy and relevance Why This System Works The competitive advantage lies in proven strategies: Perceived Customization:** AI generates content that appears manually crafted for each job Value Demonstration:** Visual diagrams and structured proposals show immediate value Speed Advantage:** Deliver comprehensive proposals before competitors finish reading job posts Professional Presentation:** Consistent quality and formatting across all applications Scalable Personalization:** Maintain individual attention at volume through intelligent automation Check Out My Channel For more advanced automation systems and proven freelance business strategies that generate real revenue, explore my YouTube channel where I share the exact methodologies used to build successful automation agencies and scale to $72K+ monthly revenue. An n8n automation workflow template by Nick Saraev.

By Nick Saraev

AI Ad Scraper & Image Generator with Facebook Ad Library Categories: PPC Automation, Creative Generation, Competitive Intelligence This workflow creates an end-to-end ad library scraper and AI image spinner system that automatically discovers competitor ads, analyzes their design elements, and generates multiple unique variations ready for your own campaigns. Built to eliminate 60-70% of manual creative work for PPC agencies, this system transforms competitor research into actionable ad variants in minutes. Benefits Automated Competitor Research** - Scrapes Facebook Ad Library for active competitor campaigns automatically AI-Powered Creative Analysis** - Uses OpenAI vision to comprehensively analyze ad design elements and copy Intelligent Image Generation** - Creates 3+ unique variations per source ad while maintaining effective layouts Complete Asset Organization** - Automatically organizes source ads and generated variations in structured Google Drive folders Campaign-Ready Output** - Generates Google Sheets database with direct links to all assets for immediate campaign deployment Massive Time Savings** - Replaces hours of manual creative work with automated competitive intelligence and generation How It Works Facebook Ad Library Scraping: Connects to Facebook's Ad Library through Apify scraper integration Searches active ads based on keywords, industries, or competitor targeting Filters for image-based ads and removes video-only content for processing Intelligent Asset Organization: Creates unique Google Drive folder structure for each scraped ad campaign Separates source competitor ads from AI-generated variations Maintains organized asset library for easy campaign management and iteration AI-Powered Creative Analysis: Uses OpenAI's vision model to comprehensively describe each competitor ad Identifies design elements, color schemes, layout patterns, and messaging approaches Generates detailed creative briefs for intelligent variation generation Smart Image Variation System: Creates 3 unique style variations per source ad using advanced AI prompting Maintains effective layout structures while changing colors, fonts, and styling Customizes messaging and branding to match your business requirements Campaign Database Integration: Logs all source ads and generated variations in organized Google Sheets Provides direct links to all assets for immediate campaign deployment Tracks performance data and creative iterations for ongoing optimization Required Setup Configuration Google Drive Structure: The workflow automatically creates this folder organization: PPC Thievery (Parent Folder) ├── [Ad Archive ID] (Per Campaign) │ ├── 1. Source Assets (Original competitor ads) │ └── 2. Spun Assets (AI-generated variations) Google Sheets Database Columns: timestamp - Unique record identifier ad_archive_id - Facebook's internal ad identifier page_id - Advertiser's Facebook page ID original_image_url - Direct link to source competitor ad page_name - Advertiser's business name ad_body - Original ad copy text date_scraped - When the ad was discovered spun_prompts - AI-generated variation instructions asset_folder - Link to campaign's Google Drive folder source_folder - Link to original ads folder spun_folder - Link to generated variations folder direct_spun_image_link - Direct link to generated ad image Set Variables Configuration: Update these values in the "Set Variables" node: googleDriveFolderId - Your parent Google Drive folder ID changeRequest - Your brand-specific variation instructions spreadsheetId - Your Google Sheets database ID Apify API Setup: Create Apify account and obtain API key Replace <your-apify-api-key-here> with actual credentials Customize search terms in the JSON body for your target competitors Adjust scraping count (default: 20 ads per run) Business Use Cases PPC Agencies** - Automate competitive research and creative generation for client campaigns E-commerce Brands** - Monitor competitor advertising strategies and generate response campaigns Marketing Teams** - Scale creative production with AI-powered competitive intelligence Freelance Marketers** - Offer advanced competitive analysis and creative services to clients SaaS Companies** - Track competitor messaging and generate differentiated ad variations Agency Teams** - Replace manual creative research with automated competitive intelligence systems Revenue Potential This system revolutionizes PPC agency economics: 60-70% reduction** in manual creative work and competitive research time 3-5x faster** campaign launch times with ready-to-use creative assets $2,000-$5,000 service value** for comprehensive competitive intelligence and creative generation Scalable competitive advantage** through automated monitoring of competitor campaigns Premium positioning** offering AI-powered creative intelligence that competitors can't match manually Difficulty Level: Advanced Estimated Build Time: 2-3 hours Monthly Operating Cost: ~$100 (Apify + OpenAI + Google APIs) Watch My Complete Live Build Want to see me build this entire system from scratch? I walk through every component live - including the ad library integration, AI analysis setup, image generation pipeline, and all the debugging that goes into creating a production-ready competitive intelligence system. 🎥 See My Live Build Process: "Ad Library Scraper & AI Image Spinner System (N8N Build)" This comprehensive tutorial shows the real development process - including advanced AI prompting for image generation, competitive analysis strategies, and the organizational systems that make this scalable for agency use. Set Up Steps Initial Database Setup: Run the initialization flow once to create your Google Drive folder and Sheets database Copy the generated folder ID and spreadsheet ID into the "Set Variables" node Configure your brand-specific change request template for consistent output Apify Integration: Set up Apify account with Facebook Ad Library scraper access Configure API credentials and test with small ad batches Customize search parameters for your target competitors and industries AI Service Configuration: Connect OpenAI API for vision analysis and image generation Set up appropriate rate limiting to control processing costs Test the complete AI pipeline with sample competitor ads Google Services Setup: Configure Google Drive API credentials for automated folder creation Set up Google Sheets integration for campaign database management Test the complete asset organization and tracking workflow Campaign Customization: Define your brand guidelines and messaging requirements in the change request Set up variation templates for different campaign types and industries Configure batch processing limits based on your API usage requirements Production Optimization: Remove the limit node for full-scale competitive monitoring Set up automated scheduling for regular competitive intelligence gathering Monitor and optimize AI prompts based on generated creative quality Advanced Optimizations Scale the system with: Multi-Platform Scraping:** Extend to LinkedIn, Twitter, and Google Ads for comprehensive competitive intelligence Performance Tracking:** Integrate with ad platforms to track performance of generated variations Style Guide Automation:** Create industry-specific variation templates for consistent brand application A/B Testing Integration:** Automatically test generated variations against source ads for performance optimization CRM Integration:** Connect competitive intelligence data with sales and marketing systems Important Considerations API Rate Limits:** Built-in delays prevent service overload and ensure reliable operation Creative Quality:** System generates multiple variations to account for AI generation variability Legal Compliance:** Use generated variations as inspiration while respecting intellectual property rights Cost Management:** Monitor OpenAI image generation costs and adjust batch sizes accordingly Competitive Ethics:** Focus on learning from successful patterns rather than direct copying Why This System Works The competitive advantage lies in speed and scale: Minutes vs. Hours:** Generate campaign-ready creative variations in minutes instead of hours of manual work Systematic Analysis:** AI vision provides consistent, comprehensive analysis that humans might miss Organized Intelligence:** Structured asset management enables rapid campaign deployment and iteration Scalable Monitoring:** Automated competitive research that scales beyond manual capacity Quality Variations:** Multiple AI-generated options ensure high-quality creative output Check Out My Channel For more advanced automation systems and proven agency-building strategies that generate real revenue, explore my YouTube channel where I share the exact methodologies used to scale automation agencies to $72K+ monthly revenue. An n8n automation workflow template by Nick Saraev.

By Sk developer

🎥 Bulk TikTok Video Download Without Watermark to Google Drive This workflow automates the process of downloading TikTok videos and uploading them to Google Drive. It reads TikTok URLs from a Google Sheet, downloads the video using the TikTok Video Downloader — a tool for downloading TikTok videos without watermark in HD quality — uploads it to Drive, makes it public, and updates the same sheet with the Drive link. 🔧 What It Does ✅ Manually triggered when ready to run. 📄 Reads TikTok URLs from a Google Sheet. 🔁 Loops through each URL one at a time. 🌐 Fetches video download links using the TikTok Video Downloader — a reliable TikTok video downloader without watermark. ⬇️ Downloads each video in high-definition (HD) format using the direct media link. ☁️ Uploads the video to Google Drive. 🔓 Sets public sharing permission for the video. ✏️ Updates the original Google Sheet with the public Drive URL. 📋 Google Sheet Example Make sure your sheet has at least these columns: | url | drive_link (to be auto-filled) | |-------------------------------------|--------------------------------| | https://www.tiktok.com/@user1... | (blank initially) | | https://www.tiktok.com/@user2... | (blank initially) | > The workflow reads from url and fills in drive_link after upload. 🧩 Nodes Used | Node Name | Type | Purpose | |------------------------------|-------------------|-------------------------------------------------------| | When clicking ‘Execute’ | Manual Trigger | Starts the workflow manually | | Get Data From Google Sheets | Google Sheets | Fetches rows (TikTok URLs) | | Loop Over Items | Split In Batches | Iterates over each row | | Call TikTok Downloader | HTTP Request | Gets video download link from TikTok Video Downloader | | Wait | Wait | Optional delay to prevent overload | | Download File | HTTP Request | Downloads HD video using media link | | Upload File In Google Drive | Google Drive | Uploads the video to Google Drive | | Set Public Permission | Google Drive | Makes the uploaded file publicly accessible | | Update Row In Google Sheet | Google Sheets | Adds Drive link to the same row | | Sleep | Wait | Small delay between each iteration | 📝 Requirements ✅ Google API credentials (Service Account) with access to: Google Sheets Google Drive 🔐 RapidAPI Key for TikTok Video Downloader – a TikTok video downloader without watermark (HD supported) 🗂 A Google Sheet with a url column containing TikTok video URLs 🧩 Challenges Solved | ❗ Challenge | ✅ Solution | |-------------|-------------| | TikTok video URLs often have watermarks and low quality | Used TikTok Video Downloader API for HD + no watermark download links | | No easy way to bulk download and organize TikToks | Automated fetching, downloading, and uploading using n8n + Google Drive | | Manual video saving and re-uploading to Drive is time-consuming | Eliminated all manual steps with a fully automated workflow | | Tracking which videos are already processed | Automatically updates the Google Sheet row with the final Drive link | | Drive files are private by default | Automatically sets public sharing permission on uploaded videos | | Risk of API rate limits or throttling | Added Wait nodes and batch processing to avoid overload | 🎁 Benefits | 🌟 Benefit | 💬 Description | |------------|----------------| | 🚀 Saves Time | Fully automates a previously manual workflow | | 🎥 High Quality Content | Videos downloaded are HD + watermark-free — ready for reuse or archives | | 🔁 Reusable Setup | Can process unlimited TikTok URLs via the Google Sheet | | 📊 Organized Output | Keeps track of source URL and uploaded Drive link in a single sheet | | 🔐 Secure but Shareable | Drive links are auto-shared publicly while remaining under your control | | 🔄 Scalable | Can be run daily, weekly, or triggered by new rows — completely scalable | | 💸 Cost-Effective | No need for paid tools or manual freelancers — runs on n8n + free APIs | 💡 Use Cases Content curation from TikTok Archiving user-submitted TikToks Automating social-to-cloud workflows Bulk migration of video content Saving TikTok videos in HD without watermark for sharing or archiving 📌 Tips Replace manual trigger with Cron for full automation. Use the TikTok Video Downloader responsibly — check API limits. Store metadata (e.g., uploader, hashtags) in additional Google Sheet columns. This tool helps ensure you're always downloading high-quality TikTok videos without watermark. An n8n automation workflow template by Sk developer.

By Adrian

📋 Description This template creates an intelligent AI assistant for WhatsApp that can: Respond naturally** to messages using Google Gemini AI Remember previous conversations** for each user Access a knowledge base** for answering frequently asked questions Automatically save** all conversations for long-term memory 🛠️ Requirements 1. WAMM.pro Account (FREE tier available) What is WAMM.pro?** - A platform that enables WhatsApp automation using proprietary API technology Free tier:** 50 messages/month PRO tier:** Unlimited messages + advanced features Link:** wamm.pro 2. Pinecone Account (for AI memory) For storing conversations and knowledge base Free tier available 3. Google AI Account (for Gemini) For the conversational AI model 4. OpenAI Account (for embeddings) For generating memory vectors 🚀 Step-by-step Setup Step 1: WAMM.pro Configuration Create account at wamm.pro Account Manager → Add WhatsApp profile Scan QR code with your WhatsApp Note down: Instance ID and Access Token Step 2: Webhook Configuration In WAMM.pro: Integrations → Webhooks → Messages Webhooks Add Webhook with the n8n URL Required configuration: From others: ✅ Relevant + ✅ Without media + ✅ Exclude no text To others: ✅ Relevant + ✅ Without media + ✅ Exclude no text To myself: ✅ None (to avoid responding to own messages) Step 3: Pinecone Configuration Create 2 indexes: historywa - for conversation memory knowledge - for knowledge base Index settings: Dimensions: 3072 Metric: cosine Embedding model: text-embedding-3-large Step 4: n8n Configuration Configure credentials: WAMM: Instance ID + Access Token Pinecone: API Key Google Gemini: API Key OpenAI: API Key for embeddings 🔧 How it Works Workflow Flow: 📱 WhatsApp Message ↓ (webhook) 🎯 AI Agent (Gemini) ↓ (uses tools) 📚 Memory Tool + Knowledge Tool ↓ (response generated) 📤 WAMM Send Message ↓ (saves) 💾 Pinecone Memory Storage Available AI Tools: Memory Tool - Searches previous conversations with the user Knowledge Tool - Searches the general knowledge base Special Features: Natural conversations** - AI doesn't mention "searching history" Persistent context** - Remembers names, preferences, previous conversations User language detection** - Automatically responds in user's language Organized memory** - Each user has their own memory space 📊 Benefits ✅ Zero maintenance - Runs automatically ✅ Scalable - Supports multiple users simultaneously ✅ Intelligent memory - Uses similarity search for relevant context ✅ Extensible - Easy to add new features ✅ Cost-effective - Free tiers available for all services 🎯 Use Cases Automated customer support** with memory Personal assistant** for WhatsApp Business chatbot** with specific knowledge Conversation automation** with persistent context 🔒 Security Data** stored in Pinecone as vector embeddings No plain text** message storage Each user** has separate memory space API keys** secured in n8n credentials 📈 Possible Extensions CRM** integrations Scheduling** and reminders Advanced multi-language** support Analytics** and conversation reports Custom knowledge bases** per user 💡 Tip: For optimal results, populate the knowledge base with frequently asked questions specific to your business!. An n8n automation workflow template by Adrian.

By Khairul Muhtadin

Know exactly how fast your site is, without opening a single tool. The Page Speed Insight workflow audits website performance with the Google PageSpeed Insights API and Gemini, then delivers clear, actionable reports straight to Discord. Single URL or side-by-side comparison, your call. Disclaimer: this workflow uses the community node Google PageSpeed Insights Community Node Last updated: September 2026. Why Use Page Speed Insight? Save Time:** Analyze and compare website speeds instantly, no manual tool juggling. Eliminate Guesswork:** Get audit reports that turn technical data into clear next steps. Improve Website Outcomes:** Spot critical bottlenecks and fixes, prioritized by AI analysis. Seamless Integration:** Drop in URLs and receive reports via Discord, ready for team discussion. Who Is This For? Webmasters and website owners seeking fast, automated performance checks SEO analysts who need consistent, data-backed website comparisons Developers requiring clear, prioritized action points from performance audits Digital agencies managing multiple client sites with ongoing monitoring needs What This Workflow Does Trigger:** Discord message containing URLs or scheduled execution Parse:** Extracts URLs and determines analysis type (single/comparison) Analyze:** Calls Google PageSpeed API for performance data Process:** AI turns raw Lighthouse JSON into user-friendly reports Deliver:** Sends chunked reports to Discord channels Log:** Stores execution data for review and improvement Setup Instructions Import the provided JSON workflow into your n8n instance Set up credentials for: Google PageSpeed API (ensure you have a valid API key — get yours here) Discord Bot API (developer docs) with permissions to read messages and send messages in your chosen guild/channel Customize the workflow by adjusting: Discord guild and channel IDs where messages are monitored and results posted Scheduled trigger interval if needed Any prompt text or AI model parameters to tailor report tone and detail level Test thoroughly with real URLs and Discord interaction to confirm smooth data flow and output quality Pre-Requirements Active n8n instance (Cloud or self-hosted) n8n Google PageSpeed community node Google PageSpeed Insights API key Discord Bot credentials with channel access Google Gemini AI credentials (recommended) Customize It Further Extend to analyze desktop performance or other device types easily by modifying the PageSpeed API call Integrate with Slack, email, or other team tools alongside Discord for broader notification Enhance report depth by adding more AI-driven insights like competitor site recommendations or historical trend tracking Nodes Used Google PageSpeed Insights Community Node Discord (getAllMessages, sendMessage) Code (URL parsing, message chunking) AI Language Model (Google Gemini) Schedule Trigger Switch (message type handling) Sticky Notes (workflow guidance) Quick Answers How do I run an audit? Send URLs in a Discord message or let the schedule trigger it automatically. Single URL or comparison? Both. It detects whether you sent one URL or several and adjusts the analysis. What do I need first? A Google PageSpeed API key, Discord bot credentials, and Gemini credentials. Support Made by: khmuhtadin Tag: automation, performance, SEO, google-pagespeed, discord Category: Monitoring & Reporting Need a custom solution? Contact Me Additional info Built with n8n. Need an assessment on your business? Feel free to reach out at https://khmuhtadin.com/consultation/. An n8n automation workflow template by Khairul Muhtadin.

By Varritech

⚡ Instant MVP Builder Idea, Build, and Deploy — in Minutes, with AI by Varritech Technologies 🏗️ What Is It? Instant MVP Builder is a plug-and-play n8n workflow that takes a plain-English app idea and turns it into a fully deployed web application — without writing a single line of code. Designed for founders, solopreneurs, and agencies, this system uses AI agents, GitHub, and Vercel to automatically: Analyze and structure the app idea Generate source code with GPT Deploy a live frontend to the web 🧠 How It Works Webhook Trigger Accepts a chat message or form input with a basic app idea. AI Prompt Agent (Langchain) Turns the message into structured specs (name, features, stack, etc). Code Generator Agent (OpenAI) Writes frontend code (React) tailored to the app spec. GitHub Integration Creates a new repo from a starter template and pushes the code. Vercel Deployment Deploys the app and returns a public URL — all automatically. 🔧 Built With n8n** – Automation engine for flow orchestration Langchain + OpenAI** – For AI-powered prompt and code creation GitHub API** – To manage repositories Vercel API** – For instant frontend deployment JavaScript** – For logic and parsing 🎯 Use Cases 🚀 Startup MVP generation 🧪 Hackathon-ready app builds 🎨 Client landing page creation 📦 Internal tool prototypes 💡 “Idea-to-product” workflows 🟨 What Makes It Special? 🧠 AI-generated code, not templates ⚙️ Fully automated from input to deploy 🌍 Public app URL in minutes 🧩 Easily customizable: edit prompts, swap repo, or deploy elsewhere 🧱 Includes built-in sticky notes + Notion setup guide 🛠️ What’s Included ✅ Cleaned, import-ready .json file for n8n ✅ Notion setup guide ✅ In-flow sticky notes describing every node ✅ No hardcoded secrets — ready for your credentials ✅ Lifetime access & updates for personal use 📄 License This workflow is licensed for single-business or internal use. Need something more? We offer: 🤝 Resell licenses for agencies 🌟 White-label customization 🔧 Prompt tuning or backend extensions 👋 About Varritech Varritech Technologies is an AI-first development agency helping businesses go from idea to production 5× faster. We specialize in building autonomous engineering workflows, onboarding systems, sales funnels, and internal tools — all powered by modern AI. 📬 christian@varritech.com 🌐 varritech.com ✅ Build smarter. Launch faster. Automate everything. With Instant MVP Builder, your next app idea doesn’t need a dev — just a trigger. An n8n automation workflow template by Varritech.

By Varritech

📆 Workflow: AI Appointment Booking Assistant ⚡ About the Creators This workflow was created by Varritech Technologies, a cutting-edge software agency that helps founders and operators go from idea to production 5× faster using AI. Based in New York City, we specialize in automating client-facing workflows like appointment setting, lead engagement, and support follow-ups. Need help adapting this flow for your business? Reach out at varritech.com. 🧠 What This Workflow Does This flow connects to varritech.com/booking and uses AI agents to intelligently manage the first stage of appointment scheduling — collecting user intent, formatting the data, confirming via calendar + email + SMS, and boosting follow-through with personalized voice messages. 🏗️ Architecture Overview The workflow is designed to maximize conversion and show-up rate by combining structured automation with human-style messaging: 🔗 Webhook Trigger — Receives booking form submissions 🧠 AI Agents — Format phone numbers & craft natural confirmation messages 📅 Google Calendar — Schedules the meeting with auto-generated Meet link 📧 Emails — Send branded confirmation to client + internal team 🎙️ ElevenLabs TTS — Turns a personalized message into audio ☁️ Cloudinary Upload — Hosts the voice clip for SMS sharing 📲 Twilio SMS — Sends a text with the appointment time + audio 📦 Node-by-Node Breakdown flowchart LR A[Webhook: Booking Submission] --> B[Function: Extract + Format Data] B --> C[Langchain Agent: Format Phone] C --> D[Postgres: Store Appointment] B --> E[Google Calendar: Create Event] B --> F[Gmail: Notify Internal Team] B --> G[Gmail: Confirm to Client] B --> H[Langchain Agent: Voice Message Script] H --> I[Function: Escape for JSON] I --> J[HTTP: ElevenLabs TTS] J --> K[Function: Rename to MP3] K --> L[HTTP: Cloudinary Upload] L --> M[Merge Data for Twilio] M --> N[Twilio: Send Confirmation Text] 🔍 Design Rationale & Best Practices AI Personalization Boosts Follow-Through Personalized messages and human-sounding voice notes significantly increase user engagement and trust. Multi-Channel Confirmation Email + calendar + SMS ensures the user receives the booking details via their preferred method. AI Agents for Edge Cases Agents are used for formatting and natural-language generation to make the system flexible and future-proof. Minimal Manual Input Required Clients simply fill out a form — the rest is handled with high-quality automation. Fully Extensible Swap in different voice APIs, CRMs, or calendar providers with minimal changes to the core logic. An n8n automation workflow template by Varritech.

By Tausif

Guidebook: How the Website ChatBot Template Works Chapter 1: Introduction & Objectives This guidebook provides a comprehensive walkthrough of the Website ChatBot developed using n8n and OpenAI. The chatbot is designed to qualify real estate leads and encourage site visits for the Alcove New Kolkata Sangam project through personalized, intelligent conversations. Chapter 2: Tools Required 1. n8n Workflow Automation Tool An open-source workflow builder to automate data flows between services. 2. OpenAI Account with GPT-4o-mini Access For generating AI-based chatbot responses. 3. Web Chat Widget Frontend integration that sends messages via webhook to the chatbot. Chapter 3: Workflow Breakdown Step 1: Webhook Receives POST requests from the chat widget. Endpoint: /webhook/chatbot-webhook Step 2: Set User Message Extracts message from the JSON body. Stores it as user_message. Step 3: Memory Setup Uses session ID to track conversation across messages. Step 4: OpenAI Chat Model GPT-4o-mini processes queries using the defined agent prompt. Step 5: AI Agent (Khusboo) Persona of a pre-sales agent. Uses AIDA + BANT + SPIN + PAS frameworks. Shares videos, responds in Hinglish, schedules site visits. Step 6: Respond to Webhook Formats the chatbot's reply into a JSON response. Chapter 4: Strategy & Psychology Behind Responses | Framework | Purpose | | --------- | ---------------------------------------------------- | | AIDA | Capture attention, interest, desire, action | | BANT | Qualify Budget, Authority, Need, Timing | | SPIN | Understand user's Situation, Problems, Implications | | PAS | Tackle objections using Problem, Agitation, Solution | The chatbot aims to qualify leads and gently move them toward booking a site visit without pushing or over-informing. Chapter 5: Setup Instructions A. n8n Workflow Setup Import the JSON workflow. Ensure OpenAI credentials are set up. Enable webhook at /webhook/chatbot-webhook. B. Frontend Widget Integration Send message as POST to the webhook with structure: { "message": "Looking for 2 BHK", "session_id": "user123" } Chapter 6: Testing & Troubleshooting Test via Postman Send sample request to verify AI response. Common Issues | Issue | Fix | | ---------------- | ----------------------------------- | | No response | Check webhook URL or credentials | | Repeated replies | Ensure memory node is active | | Wrong language | Check system message language rules | Chapter 7: Sample Conversations User: Hi, I’m looking for a home near the Ganga. Bot: Namaste! Main Khusboo hoon, Alcove New Kolkata Sangam se. Aapka naam kya hai? User: Rajat. Bot: Great Rajat! Kya aap apne family ke saath shift hone ka plan kar rahe ho? ... (continues using frameworks) Chapter 8: FAQs & Maintenance Tips Q: Can I update the AI agent persona? A: Yes, by modifying the system message inside the AI Agent node. Q: How do I share new videos or links? A: Add them in the sharingVideos or UserRequests section in the system message. Q: How to scale this for multiple projects? A: Duplicate the workflow and update the aboutProject and links accordingly. End of Guidebook. An n8n automation workflow template by Tausif.

By Markhah

Overview This n8n workflow is a modular AI analyst system that provides real-time insights from CoinMarketCap’s centralized and decentralized data sources. Using GPT-based AI, the system interprets natural language questions about the crypto market and delegates them to specialized agent workflows. It supports Telegram chat input and returns structured results such as coin quotes, DEX liquidity, exchange info, and community sentiment—all integrated from the CoinMarketCap API ecosystem. Prerequisites a. OpenAI or Gemini account (via GPT-4o-mini or equivalent LLM). b. Telegram Bot API token (for message input/output). c. Valid CoinMarketCap API key. 📦 Required subflows: CoinMarketCap_Crypto_Agent_Tool CoinMarketCap_Exchange_and_Community_Agent_Tool CoinMarketCap_DEXScan_Agent_Tool d. All tools must be installed and configured before use. Each one acts as a specialized endpoint wrapper for CoinMarketCap APIs. How It Works Telegram Input Users send a query to the bot (e.g. “Top DEX pairs on Ethereum”). Session Memory & Agent Brain Session is tracked via chat.id GPT-4o-mini interprets the query, routes to sub-agents Sub-Agent Workflows Crypto Agent: prices, rankings, conversions Exchange Agent: community sentiment, exchange token holdings DEX Agent: OHLCV data, liquidity pools, trades Multi-Agent Coordination AI can combine queries across tools (e.g., get token ID → fetch quote → analyze liquidity) Ensures valid parameters and avoids API errors Telegram Output Final analysis is sent back to the user as a formatted message. Troubleshooting Tips Error Code Meaning Fix 400 Bad request Check symbol/slug/ID validity 401 Unauthorized Verify CoinMarketCap API key 429 Rate limit exceeded Throttle or upgrade API tier 500 Server error Retry with backoff or report to CMC Example Telegram Queries “Show me top 5 coins by market cap” “Get price of ETH on Uniswap and Binance” “How much liquidity is in SOL-USDC pair?” “Fear & Greed Index and trending tokens” SEO Tags (ẩn hoặc ghi chú riêng): coinmarketcap, n8n crypto analyst, crypto ai telegram bot, dex liquidity, CMC price tracker, gpt-4o crypto market, token sentiment dashboard, fear and greed index. An n8n automation workflow template by Markhah.

By Daniel Ng

N8N Hybrid RAG Chatbot with Multiple AI Agents One of the most powerful system in the market, this template creates a sophisticated, multi-agent hybrid RAG (Retrieval-Augmented Generation) chatbot that can handle diverse user queries by routing them to a “Supervisor AI agent”. The Supervisor agent will then send the request to “Expert AI agents”, agents specializing in specific domains. In addition, this system automates data ingestion from various sources (including websites and Google Drive), processes and stores the information in a vector database, and interacts with users through Telegram in multiple languages. For more powerful n8n templates, visit our website at aiautomationpro.org. Who’s it for? This template is ideal for: Developers and Businesses** looking to build a powerful, knowledge-based chatbot for customer support, internal knowledge management, or lead generation. AI Enthusiasts** who want to explore advanced concepts like multi-agent systems, RAG, and automated data pipelines. n8n Users** who want to build a scalable and customizable AI solution that integrates multiple services. Key Features Multi-Agent Architecture:** Utilizes a supervisor agent to route queries to specialized agents for different domains (e.g., Products, News, Academy). Automated Data Ingestion:** Automatically scrapes data from websites and syncs new or updated files from Google Drive. Retrieval-Augmented Generation (RAG):** Enriches the chatbot's knowledge by retrieving relevant information from a Supabase vector store and a Postgres database. Telegram Integration:** Provides a seamless, multi-language chat interface for users to interact with the bot. Dynamic Data Handling:** Automatically processes and embeds data from various sources like Google Docs, PDFs, and Word documents. Data Management:** Keeps the knowledge base up-to-date by automatically handling document creation, updates, and deletions. How it works The workflow is divided into three main parts: data ingestion, data management, and the chat interface. Data Ingestion & Processing: Web Scraping: The workflow fetches URLs from a Google Sheet, scrapes the content using Crawl4ai, cleans it with an AI agent, and saves it to a Google Doc. Google Drive Sync: It monitors specific Google Drive folders for new or updated files (Google Docs, PDFs, Word documents). Embedding & Storage: The content from these sources is then chunked, converted into vector embeddings using OpenAI, and stored in a Supabase vector database for efficient retrieval. Data Deletion: A scheduled trigger periodically checks a Google Sheet for records marked as "deleted." It then removes the corresponding data from the Supabase vector store and deletes the file from Google Drive to ensure the chatbot's knowledge remains current. Chat Interface & Logic (Telegram): User Input: The chatbot receives user messages via a Telegram trigger. Language Detection: It first detects the language of the query and translates it to English if necessary. Supervisor Agent: A central "Supervisor" AI agent analyzes the user's query. Agent Routing: Based on the query, the Supervisor delegates the task to the most appropriate specialized agent: News AI Agent: Handles questions about current events. Product AI Agent: Answers queries about product details from a Postgres database. Academy AI Agent: Responds to questions about courses and educational content. Response Generation: The selected agent processes the query, retrieves the necessary information using RAG, generates a response, and translates it back to the user's original language before sending it via Telegram. Requirements To use this template, you will need accounts and credentials for the following services: n8n OpenAI Supabase (for vector storage) Google Workspace (Google Drive, Google Sheets, Google Docs) Telegram Bot Postgres Database Crawl4AI Step-by-step Setup Configure Credentials: Add your API keys and credentials for all the required services (OpenAI, Supabase, Google, Telegram, Postgres) in the n8n Credentials section. Set up Google Drive: Create two folders in your Google Drive: one for documents scraped from websites and another for manual document uploads. Note the folder IDs. Set up Google Sheets: Clone the Google Sheet template, or create a Google Sheet with two tabs: Website Links and Manual Documents. In the Website Links tab, add columns for Link, Category Code, Is Scraped, and Is Deleted. In the Manual Documents tab, add columns for Document ID, Title, Category Code, and Is Deleted. Set up Supabase: Create a new project in Supabase. Run the provided SQL script to create the documents table for vector storage. Set up Postgres: Set up a Postgres database (in Supabase). Run the provided SQL script to create the products table to store product details. Configure the Main Workflow: Open the AIAutomationPro Ultimate RAG Chatbot main workflow. Update the Google Drive, Google Sheets, Supabase, and Postgres nodes with your specific Folder IDs, Sheet Names, and table names. Link the three sub-workflows (News AI Agent, Product AI Agent, Academy AI Agent) in the corresponding Workflow Tool nodes. Activate Workflows: Activate the main workflow and all three sub-flow workflows. Start Chatting: Send a message to your Telegram bot to start interacting with your new RAG chatbot. How to Customize the Workflow Add More Agents:** You can create new sub-workflows with specialized agents for different topics (e.g., a "Finance AI Agent"). Simply add a new Workflow Tool node in the main flow and update the Supervisor Agent's system prompt to include the new agent's capabilities. Change Data Sources:** Modify the data ingestion part of the workflow to pull data from other sources like Notion, HubSpot, or a CRM by adding the relevant n8n nodes. Adjust the AI Model:** You can switch to a different LLM by replacing the OpenAI Chat Model nodes. Modify Prompts:** Fine-tune the system prompts in the Agent nodes to alter the personality, instructions, or output format of the chatbot and its specialized agents. An n8n automation workflow template by Daniel Ng.

By Yang

This workflow helps digital marketers and outreach specialists automate the research and creation of cold email icebreakers for local businesses. What it does: Starts with a Form Trigger, where you input a search keyword (e.g., “Dentist in New York”). Uses Dumpling AI’s Google Maps API to search for local businesses matching the keyword. Extracts individual business data, including website URLs. Sends each website to Dumpling AI to extract: A website summary for personalization An email address (if available) Sends the summary and business info to GPT-4 via OpenAI to write a short, warm, and customized icebreaker message. Filters out results with missing email addresses. Logs the business name, email, website, phone number, website summary, and generated icebreaker into Google Sheets. Optionally pushes the lead and personalization to Instantly.ai for automated cold outreach. Tools Used: Form Trigger (n8n) Dumpling AI (Search & Extraction APIs) OpenAI GPT-4 (via LangChain Node) Google Sheets Instantly.ai (optional lead delivery) 🛠️ How to Customize the Workflow Change the search region or business type:* Adjust the default keyword in the *Form Trigger** or connect a different input source (like Google Sheets). Customize the prompt:* Modify the *GPT-4 node prompt** to match your agency tone or outreach style. Add or remove data fields:* Edit the *Google Sheets node** to store additional business data or remove unnecessary ones. Connect to your CRM or outreach tool:* Replace or extend the *Instantly API node** with your own CRM (e.g., HubSpot, Close, Pipedrive) using HTTP Request or native integrations. Control batching size:* The *Split In Batches node** is set to 2 by default. You can increase this to speed up processing or reduce it to avoid rate limits. This automation is ideal for sales teams, digital marketing freelancers, and agencies who want to scale lead generation while keeping emails personal and relevant. An n8n automation workflow template by Yang.

By Yang

📄 What this workflow does This workflow turns TikTok videos into high-quality marketing insights and social-ready posts using Dumpling AI and GPT-4. It takes a TikTok URL, keyword, and product name, then automatically extracts the video transcript, analyzes the content for key marketing insights (pain points, outcomes, triggers), and rewrites it as a social media post that positions your product as the solution. Everything is logged to Google Sheets for use by your content or product team. 👤 Who is this for Product marketers doing UGC research Copywriters repurposing TikTok into content Founders or VAs turning viral clips into assets Agencies building research-based social proof ⚙️ How to set up ✅ Requirements Dumpling AI**: For TikTok transcript extraction OpenAI GPT-4 or GPT-4o-mini**: For analysis and rewriting Google Sheets**: To log the results n8n Form Trigger**: To input TikTok URL, Keyword, and Product 🔧 Setup Instructions Google Sheets Create a sheet with the following columns: Video URL, Original Transcription, Pain points, Desired outcomes, Triggers or motivating events, Interesting direct quotes, New Script Update the sheet ID and tab in the Google Sheets node Credentials Add your Dumpling AI key using HTTP Header Auth Use GPT-4 via OpenAI credentials Connect your Google Sheets using OAuth2 Customization (Optional) You can modify the GPT-4 prompts in the LangChain nodes to change tone, output structure, or content depth 🧠 How it works A form is submitted with a TikTok URL, keyword, and product Dumpling AI fetches and returns the TikTok transcript The VTT format is cleaned into plain text GPT-4 (via LangChain agent) extracts: Pain points Desired outcomes Motivating events Direct quotes GPT-4 then rewrites the transcript into a compelling marketing post Results are saved to Google Sheets for further use 🛠️ Customization ideas Push insights to Notion or Airtable instead of Sheets Use Claude or Gemini instead of GPT-4 Automatically generate image prompts to pair with the rewritten script Add notification email or Slack post when draft is ready This workflow gives marketers and founders a fast way to convert real social content into reusable copy, backed by authentic user voice and GPT-powered insights. An n8n automation workflow template by Yang.

By Sachin Shrestha

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow automates invoice management by integrating Gmail, PDF analysis, and Azure OpenAI GPT-4.1, with an optional human verification step for accuracy and control. It's ideal for businesses or individuals who regularly receive invoice emails and want to streamline their accounts payable process with minimal manual effort. The system continuously monitors Gmail for new messages from specified senders. When it detects an email with a PDF attachment and relevant subject line (e.g., "Invoice"), it automatically extracts text from the PDF, analyzes it using Azure OpenAI, and determines if it is a valid invoice. If the AI is uncertain, the workflow sends a manual approval request to a human reviewer. Valid invoices are saved to local storage with a timestamped filename, and a confirmation email is sent upon successful processing. 🎯 Who This Is For Small to medium businesses Freelancers or consultants who receive invoices via email IT or automation teams looking to streamline document workflows Anyone using n8n with access to Gmail and Azure OpenAI ✅ Features Gmail Monitoring** – Automatically checks for new emails from trusted senders AI-Powered Invoice Detection** – Uses Azure GPT-4.1 to intelligently verify PDF contents PDF Text Extraction** – Extracts readable text for analysis Human-in-the-Loop Verification** – Requests approval when AI confidence is low Secure File Storag**e – Saves invoices locally with structured filenames Email Notifications** – Sends confirmations or manual review alerts ⚙️ Setup Instructions 1. Prerequisites An active n8n instance (self-hosted or cloud) A Gmail account with OAuth2 credentials An Azure OpenAI account with access to the GPT-4.1 model A local directory for saving invoices (e.g., C:/Test/Invoices/) 2. Gmail OAuth2 Setup In n8n, create Gmail OAuth2 credentials. Configure it with Gmail API access (read emails and attachments). Update the Gmail Trigger node to filter by sender email (e.g., sender@gmail.com). 3. Azure OpenAI Setup Create Azure OpenAI API credentials in n8n. Ensure your endpoint is correctly set and GPT-4.1 access is enabled. Link the credentials in the AI Analysis node. 4. Customize Workflow Settings Sender Email – Update in Gmail Trigger Notification Email – Update in Send Notification node Save Directory – Change in Save Invoice node 5. Testing the Workflow Send a test email from the configured sender with a PDF invoice. Wait for the workflow to trigger and check for: File saved in the directory Confirmation email received Manual review request (if needed) 🔄 Workflow Steps Gmail Trigger → Check for PDF Invoice → Extract PDF Text → Analyze with GPT-4.1 → ↳ If Invoice: Save & Notify ↳ If Uncertain: Request Human Review ↳ If Not Invoice: Send Invalid Alert. An n8n automation workflow template by Sachin Shrestha.

By Fahmi Oktafian

Who’s it for This template is perfect for freelancers, small business owners, or financial assistants who want to record and approve financial transactions like income and expenses directly from Telegram, without opening a spreadsheet manually. It’s also useful for teams that require a supervisor to approve expenses before they’re finalized. What it does This workflow allows users to: Start a conversation via Telegram using the /start command. Choose to record an income or expense. Submit transaction data using a structured format. Store the data into Google Sheets in real time. For expenses, automatically notify a supervisor for approval. The supervisor can Approve ✅, Reject ❌, or View Details 👁. Sends feedback to the user based on supervisor action. 🔧 How it works Telegram Bot Trigger: Captures user input via message or inline button callback. Message Detection Logic: Differentiates between text input and button interactions. Switch Node: Routes the message type: /start: Displays income/expense buttons. Input text: Validates formatting and parses data. Callback: Handles approval/rejection process. Google Sheets Integration: Appends or updates entries in different sheets based on the data type. Notifications: User gets feedback (recorded, pending, approved, rejected). Supervisor receives inline button options for approval. Google Sheets Details You will need a Google Sheet with the following two worksheets: Sheet 1: income Sheet 2: Sheet1 (Default tab for expenses) 📱 Telegram Setup Instructions Create a bot using @BotFather. Save the bot token. Go to n8n Credentials → Telegram API and add: Access Token = your bot token In Telegram, send /start to your bot. Make sure your bot has enabled privacy mode (or disabled, if used in a group). 💡 For the approval flow, update the node Send Approval Request with the correct chatId of the supervisor's Telegram account. You can hardcode a static ID (e.g., "123456789") or pull from a variable if dynamic. 🛠 Requirements | Tool | Description | | -------------------------- | ----------------------------------- | | n8n (Cloud or Self-hosted) | Use latest stable version | | Telegram Bot | For user input and notifications | | Google Sheets | To store income and expense records | | Google OAuth2 Credentials | Required for Google Sheets node | ⚙️ How to customize the workflow Change the chat ID for supervisors in the node Send Approval Request. Modify the text or add new buttons in the inline keyboard node. Update Google Sheet ID and tab names if you’re using different sheets. Customize the approval logic, for example, route to different teams. ✅ Setup Steps Import the workflow JSON into your n8n instance. Configure Telegram API credential with your bot token. Connect your Google Sheets OAuth2 credential. Replace Google Sheet document ID and tab names with your own (via UI or “Expression” mode). Deploy and activate the workflow. An n8n automation workflow template by Fahmi Oktafian.