Log meal nutrients from Telegram to Google Sheets using an AI agent
Who is this for? This workflow is ideal for individuals focused on nutrition tracking, meal planning, or diet optimization—whether you’re a health-conscious individual, fitness coach, or developer working on a healthtech app. It also fits well for anyone who wants to capture their meal data via voice or text, without manually entering everything into a spreadsheet. What problem is this workflow solving? Manually logging meals and breaking down their nutritional content is time-consuming and often skipped. This workflow automates that process using Telegram for input, OpenAI for natural language understanding, and Google Sheets for structured tracking. It enables users to record meals by typing or sending voice messages, which are transcribed, analyzed for nutrients, and automatically stored for tracking and review. What this workflow does This n8n automation lets users send either a text or voice message to a Telegram bot describing their meal. The workflow then: Receives the Telegram message Checks if it’s a voice message • If yes: Downloads the audio file and transcribes it using OpenAI • If no: Uses the text input directly Sends the meal description to OpenAI to extract a structured list of ingredients and nutritional details Parses and stores the results in Google Sheets Responds via Telegram with a personalized confirmation message A testing interface also allows you to simulate prompts and view structured outputs for development or debugging. Setup Create a Telegram bot via BotFather and note the API token. Create an empty Google Sheet and store the sheet ID in the environment. Set up your OpenAI credentials in the n8n credential manager. Customize the “List of Ingredients and Nutrients” node with your prompt if needed. (Optional) Use the “Testing” section to simulate messages and refine outputs before going live. How to customize this workflow to your needs • Enhance prompts in the OpenAI node to improve the structure and accuracy of responses. • Add new fields in the Google Sheet and corresponding logic in the parser if you want more detail. • Adjust the Telegram response to provide motivational feedback, dietary tips, or summaries. • Upgrade to the “Pro” version mentioned in the contact section for USDA database integration and complete nutrient breakdowns. This is a lightweight, AI-powered meal logging automation that transforms voice or text into actionable nutrition data—perfect for making healthy eating easier and more data-driven. See my other workflows here
By PollupAIArchive empty pages in Notion database
This workflow will archive empty pages in your Notion databases, Add your n8n integration to the Notion databases that you want to process. To configure this workflow set the Notion credentials in the 4 Notion nodes and if needed change the time in the Cron node, The default is to run at 2am every day.
By JonathanDaily tech news digest from Google News summarized with Llama AI and email delivery
This n8n workflow automatically fetches top technology news from Google News, summarizes it using AI, and sends a daily email with key updates. Users get a concise overview of important tech developments every morning. Good to know: Focuses specifically on technology news. Summarizes multiple sources into one concise email. Ensures consistent and easy-to-read formatting. Handles updates from different websites reliably. How it works Trigger: Schedule Daily Tech News Runs automatically every morning at 8 AM. Fetch Google Tech News Retrieves the latest tech news from Google News. Extract Tech News Articles Parses the HTML to extract headlines, source, and timestamps. Format Tech News Data Prepares structured data ready for AI analysis. Check If News Found If no news is found, sends an error alert email. Otherwise, continues to AI summarization. AI Tech News Analyzer Uses an AI model to summarize and highlight key trends. Send Tech News Email Sends a formatted daily email with summarized tech news. Send Error Alert (optional) Sends an alert email if no news can be found. Email Examples Output Email Example: Subject: 🌐 Daily Tech News Summary - August 14, 2025 📌 Top Technology Headlines Today: AI-powered tools are revolutionizing cloud computing. (Source: TechCrunch) Startup funding in India sees record growth. (Source: Economic Times) New smartphone launches include innovative camera features. (Source: The Verge) Cybersecurity threats increase amid remote work trends. (Source: Wired) 🗓️ Summary Date: August 14, 2025 How to use Setup Instructions: Import workflow into your n8n instance. Configure SMTP credentials for sending emails. Set the schedule to run daily at your preferred time. Test the workflow to ensure news is fetched and the email is sent correctly. Requirements: n8n instance (cloud or self-hosted). Email account with SMTP access. Reliable internet connection. Access to Google News. Troubleshooting: No news found: Check internet connection and Google News accessibility. Email not sent: Verify SMTP credentials. AI summarization errors: Check model credentials and API usage.
By Oneclick AI SquadCreate LinkedIn posts with AI agents using MCP server
Complete MCP server exposing all LinkedIn Tool operations to AI agents. Zero configuration needed - all 1 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every LinkedIn Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n LinkedIn Tool tool with full error handling 📋 Available Operations (1 total) Every possible LinkedIn Tool operation is included: 🔧 Post (1 operations) • Create a post 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native LinkedIn Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every LinkedIn Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
By David AshbyGet multiple clients' data from Invoice Ninja
Companion workflow for Invoice Ninja node docs
By amudhanAutomate customer support with Mintlify documentation & Zendesk AI agent
This n8n workflow automates support ticket handling with AI-driven classification, response generation, and safety checks. Responses are based solely on your Mintlify documentation, ensuring accuracy, consistency, and reduced manual effort in customer support. ✅ Trigger: New Ticket Received The workflow is triggered whenever a new support ticket is created. 🔍 Check for Assignee If the ticket is already assigned to a human agent, the bot does nothing and exits. If the ticket is unassigned, the bot continues processing. 🔢 Bot Response Count Check The workflow checks how many times the bot has already responded to this ticket. If the bot has replied more than 3 times, it stops and waits for a human to take over. This prevents endless loops and flags potentially complex cases for review. 🧠 AI-Based Ticket Categorization An AI model analyzes the ticket content and classifies it into one of the following categories: 🧾 Billing → Sends a predefined billing-related message. 📢 Advertising → Automatically deletes the ticket. 🚨 Fraud → Sends a predefined fraud-related message. ❓ Other → Proceeds to generate a dynamic response. 🤖 Mintlify Integration For tickets categorized as "Other", the customer’s question is sent to the Mintlify API, which returns a documentation-based answer. ✍️ AI Response Formatter The raw response from Mintlify is passed to an AI model that: Summarizes and rewrites the answer in a clear, friendly tone Limits the response to 120 words Adds conversational elements like “Hi,” “Thanks,” and a proper closing 🛡️ AI Confidence Filter A second AI model reviews the formatted response to ensure it sounds confident and accurate. It looks for uncertainty phrases like: “I’m not sure” “I don’t have enough information” “It depends…” If the response is flagged as uncertain, the workflow stops and waits for a human agent to respond. 📤 Send Response & Update Ticket If the response passes the confidence check: The reply is sent to the customer The ticket status is updated to “Pending”
By Alex GurinovichAutomated gold price threshold alerts via LINE with web scraping
Gold Price Alert This workflow template, "Gold Price Alert," is designed to monitor gold prices at regular intervals and send real-time notifications via LINE when the price exceeds a specified threshold. By leveraging the power of web scraping and automated alerts, this template ensures you stay informed about significant changes in gold prices without manual intervention. Whether you're an investor, trader, or simply someone interested in tracking gold prices, this workflow provides a reliable and customizable solution for staying updated. Who Is This Template For? Investors & Traders: Who want to monitor gold prices and receive alerts when the price reaches a specific threshold. Financial Analysts: Looking for automated tools to track commodity prices. Businesses: Operating in industries where gold prices impact operations or profitability. Automation Enthusiasts: Seeking to build workflows that combine web scraping, data processing, and messaging platforms. What Problem Does This Workflow Solve? Tracking gold prices manually can be time-consuming and prone to oversight, especially if you’re monitoring multiple sources or need alerts for specific thresholds. This workflow solves that problem by: Automatically checking gold prices every 6 hours using a schedule trigger. Extracting the latest price from a trusted source (e.g., Gold Traders Association ). Sending instant notifications via LINE when the price exceeds a predefined threshold (e.g., 52,300 THB). Reducing the need for constant manual checks while ensuring timely updates. What This Workflow Does 1) Scheduled Trigger: The workflow is triggered every 6 hours to check the current gold price. 2) Fetch Webpage Content: It retrieves the HTML content of the webpage displaying the latest gold prices. 3) Extract Price Data: Using CSS selectors, the workflow extracts the relevant price data (e.g., buying price) from the HTML content. 4) Filter Prices: The extracted price is converted into a numeric format and compared against a predefined threshold (e.g., 52,300 THB). Alerts are only sent if the price exceeds this value. 5) Send Notification via LINE: If the condition is met, the workflow sends a notification to your LINE account with the current gold price. Setup Guide Pre-Requisites Access to the LINE Developers Console to configure your API Access Token Basic knowledge of HTML and CSS selectors for extracting data from webpages. Familiarity with n8n workflows and JSON formatting. Step-by-Step Setup 1) Configure the Schedule Trigger: Set the interval to 6 hours or adjust it based on your preference. 2) Set Up Webpage Fetching: Update the URL in the HTTP Request node to point to the webpage containing the gold price data. 3) Extract Price Data: Use the HTML Extractor node to specify the CSS selector for the price element (e.g., DetailPlaceucgoldprices1_lblBLBuy). 4) Set Price Threshold: Modify the threshold value in the If node to match your desired alert level (e.g., 52,300 THB). 5) Configure LINE Push API: Replace the placeholder to field in the Send Line Message node with your LINE user ID to ensure notifications are sent to the correct account. Test the Workflow: Run the workflow manually to verify that it fetches the price, evaluates the condition, and sends notifications correctly. How to Customize This Workflow to Your Needs Change the Interval: Adjust the schedule trigger to check prices more or less frequently (e.g., hourly or daily). Monitor Multiple Prices: Extend the workflow to extract and compare additional price points (e.g., selling price, international rates). Integrate Other Platforms: Replace the LINE notification with integrations for Telegram, email, or SMS. Expand Use Cases: Adapt the workflow to track other commodities or financial indicators by modifying the webpage URL and CSS selectors. Why Use This Template? Real-Time Alerts: Stay informed about significant changes in gold prices without manual intervention. Customizable Thresholds: Set your own price thresholds to receive alerts tailored to your needs. Easy Integration: Seamlessly integrates with LINE for quick setup and minimal maintenance. Scalable: Easily extend the workflow to monitor multiple data points or integrate with other platforms.
By lin@davoy.techSecurity reconnaissance with Google Dorks, Parsera scraping, and Gmail reports
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it Works: - Accepts a domain from a web form - Generates a list of Google dorks targeting that domain - Scrapes Google search results for each dork - Filters out junk links (Google internal, non-http) - Formats valid results as a markdown report - Emails the report to your inbox For this workflow you will need to configure credentials in n8n as well as create a Parsera.io agent: AI Scraper Account Create an account for: https://app.parsera.io Create an agent named "Google" and use the URL https://google.com Copy/Paste your Parsera.io API key to the 'Scrape with agent' node in the n8n workflow Gmail OAuth2 Go to Google Cloud Console Enable Gmail API Create OAuth2 credentials Copy/Paste the Gmail API key to the Gmail node in the n8n workflow
By Sean BirminghamAutomated blog generation with Gemini AI, GitHub & Jekyll publishing
📝 Use Case This n8n workflow automates the creation and publication of technical blog posts based on a list of topics stored in Google Sheets. It fetches context using Tavily and Wikipedia, generates Markdown-formatted content with Gemini AI, commits it to a GitHub repository, and updates a Jekyll-powered blog — all without manual intervention. Ideal for developers, bloggers, or content teams who want to streamline technical content creation and publishing. --- ⚙️ Setup Instructions 🔑 Prerequisites n8n (cloud or self-hosted) Tavily API key Google Sheets with blog topics Gemini (Google Palm) API key GitHub repository (Jekyll enabled) GitHub OAuth2 credentials Google OAuth2 credentials 🧩 Setup Steps Import the workflow JSON into your n8n instance. Set up the following credentials in n8n: Tavily API Google Sheets OAuth2 Google Palm/Gemini AI GitHub OAuth2 Prepare your Google Sheet: Columns: Title, status, row_number Set status to blank for topics to be picked up. Configure: GitHub repo and _posts/ path Jekyll setup (front matter, _config.yml, GitHub Pages) Adjust prompt/custom parameters if needed. Enable and deploy the workflow. Schedule it daily or trigger manually. --- 🔄 Workflow Details | Node | Function | |------|----------| | Schedule Trigger | Triggers the flow at a set interval | | Google Sheets (Get Topic) | Fetches the next incomplete blog topic | | Extract Topic | Parses topic text from the sheet | | Tavily Search | Gathers up-to-date content related to the topic | | Wikipedia Tool | Optionally adds more context or images | | Summarize Results | Formats the context for the AI | | Gemini AI Agent (LangChain) | Generates a Markdown blog post with YAML front matter | | Set File Parameters | Prepares the filename, content, and commit message | | GitHub Commit | Uploads the .md file to the _posts/ directory | | Update Google Sheet | Marks topic as done after successful commit | --- 🛠️ Customization Options Change LLM prompt (e.g. tone, depth, format). Use OpenAI instead of Gemini by switching nodes. Modify filename pattern or GitHub repo path. Add Slack/Discord notifications after publish. Extend flow to upload images or embed YouTube links. --- ⚠️ Community Nodes Used This workflow uses the following community nodes: @tavily/n8n-nodes-tavily.tavily – for deep search > ⚠️ Ensure these are installed and enabled in your n8n instance. --- 💡 Pro Tips Use GitHub Actions to trigger an automatic Jekyll build post-commit. Structure blog posts with front matter, headings, and table of contents for SEO. Set Schedule Trigger to daily at a fixed time to keep content flowing. Enhance formatting in AI output using code blocks, images, and lists. --- ✅ Example Output markdown --- title: "How LLMs Are Changing Web Development" date: "2025-07-25" categories: [webdev, AI] tags: [LLM, Gemini, n8n, automation] excerpt: "Learn how LLMs like Gemini are transforming how we generate and deploy developer content." author: "Saswat Saubhagya" --- Table of Contents Introduction Understanding LLMs Use Cases in Web Development Challenges Conclusion ...
By Saswat Saubhagya RoutAutomate invoice processing from Gmail with Azure GPT-4.1 and human verification
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 Storage – Saves invoices locally with structured filenames Email Notifications – Sends confirmations or manual review alerts ⚙️ Setup Instructions 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/) 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). 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. Customize Workflow Settings Sender Email – Update in Gmail Trigger Notification Email – Update in Send Notification node Save Directory – Change in Save Invoice node 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
By Sachin ShresthaAutomate Instagram influencer lead collection with Apify, GPT and PostgreSQL
This workflow is built for digital marketers, sales professionals, influencer agencies, and entrepreneurs who want to automate Instagram lead generation. If you’re tired of manually searching for profiles, copying email addresses, and updating spreadsheets, this automation will save you hours every week. It turns your process into a smart system that finds, extracts, and stores leads while you focus on growing your business. How it works / What it does This n8n automation completely transforms how you collect Instagram leads using AI and API integrations. Here’s a simple breakdown of how it works: Set your targeting parameters using the Edit Fields node. You can specify your platform (Instagram), field of interest such as “beauty & hair,” and target country like “USA.” Generate intelligent search queries with an AI Agent powered by GPT-4o-mini. It automatically creates optimized Google search queries to find relevant Instagram profiles in your chosen niche and location. Extract results from Google using Apify’s Google Search Scraper, which collects hundreds of Instagram profile URLs that match your search criteria. Fetch detailed Instagram profile data using Apify’s Instagram Scraper. This includes usernames, follower counts, and profile bios where contact information usually appears. Use AI to extract emails from the profile biographies with the Information Extractor node powered by GPT-3.5-turbo. It identifies emails even when they are hidden or creatively formatted. Store verified leads in a PostgreSQL database. The workflow automatically adds new leads or updates existing ones with fields like username, follower count, email, and niche. Once everything is set up, the system runs on autopilot and keeps building your database of quality leads around the clock. How to set up Follow these steps to get your Instagram Lead Generation Machine running: Import the JSON file into your n8n instance. Add your API credentials: Apify token for the Google and Instagram scrapers OpenAI API key for the AI-powered nodes PostgreSQL credentials for storing leads Open the Edit Fields node and set your platform, field of interest, and target country. Run the workflow manually using the Manual Trigger node to test it. Once confirmed, replace the manual trigger with a schedule or webhook to run it automatically. Check your PostgreSQL database to ensure the leads are being saved correctly. Requirements Before running the workflow, make sure you have the following: An n8n account or instance (self-hosted or n8n Cloud) An Apify account for accessing the Google and Instagram scrapers OpenAI API access for generating smart search queries and extracting emails A PostgreSQL database to store your leads Basic understanding of how n8n workflows and nodes operate How to customize the workflow This workflow is flexible and can be customized to fit your business goals. Here’s how you can tailor it: Change your niche or location by updating the Edit Fields node. You can switch from “beauty influencers in the USA” to “fitness coaches in Canada” in seconds. Add more data fields to collect additional information such as engagement rates, bio keywords, or profile categories. Just modify the PostgreSQL node and database schema. Connect to your CRM or email system to automatically send introduction emails or add new leads to your marketing pipeline. Use different triggers such as a scheduled cron trigger for daily runs or a webhook trigger to start the workflow through an API call. Filter higher-quality leads by adding logic to capture only profiles with a minimum number of followers or verified emails.
By Fayzul NoorSmart Customer Support System with GPT-4o, Gmail, Slack & Drive Knowledge Base'
The AI Support Agent combines Gmail, Slack, and Google Drive into a seamless support workflow powered by GPT-4o and Pinecone. 🧠 Email Monitoring – New support emails are pulled from Gmail every minute. 📤 Classification – AI categorizes emails (e.g., billing, support, spam, urgent). 📚 Knowledge-Based Replies – GPT-4o drafts personalized replies using your support documents synced from Google Drive and stored in Pinecone. 📩 Automatic Response – The agent replies to the customer in the same Gmail thread. 🚨 Escalation Detection – If human support is needed, Slack is notified instantly. 📊 Logging – Each interaction is logged in Google Sheets for tracking and analysis. 🔁 Live Sync – Any document added to your Google Drive folder is auto-loaded into the knowledge base for future AI responses. 🛠️ Quick Setup Steps 🛠️ Quick Setup Checklist ⏱ Time to Deploy: ~10–15 minutes 🔌 1. Connect Integrations ✅ Gmail (OAuth2) ✅ Google Drive (OAuth2) ✅ Google Sheets (OAuth2) ✅ OpenAI API Key ✅ Pinecone API Key ✅ Slack Webhook (for alerts) 🗂️ 2. Update Workflow IDs Replace the sample IDs in your nodes: 📁 Google Drive Folder ID → Where your KB lives 📊 Google Sheet ID → Where interactions are logged 🚨 Slack Webhook URL → Where urgent alerts go 🔎 Pinecone Index → Your vector storage index 🎨 3. Customize Prompt & Tone Go to 🔧 “Response Agent” Node Update the System Prompt to reflect your brand’s tone: e.g. “We’re always here to help, and we reply fast.” 📂 4. Upload Your Docs Add .pdf, .txt, or .docx files to your synced Google Drive folder. The agent will auto-read and embed them into Pinecone for AI-powered replies. ▶️ 5. Run & Test Send a test email from another account ✅ Watch the reply come through Gmail ✅ Check Slack for urgent alert ✅ Confirm logging in Google Sheets ✅ Done!
By David Olusola