HumationHuman + Automation
Back to Catalog

Snap & track nutrition: Telegram food photos → Gemini Vision AI → Google Sheets

Anir AgramAnir Agram
561 views
2/3/2026
Job ListingsData ExportGoogle SheetsRecruitmentLever
Official Page

📸🍽️ Telegram Food Photo → 🤖 Gemini Vision AI → 📊 Nutrition Data → 📄 Google Sheets + 🗂️ Drive

What this workflow does

  • 📸 Snap and send a photo of your meal via Telegram
  • 🧠 Gemini Vision AI analyzes the image and estimates calories, protein, carbs, and fats
  • 🤖 AI Agent structures the data with meal name, description, and timestamp
  • 📄 Auto-logs nutrition data to Google Sheets for tracking
  • 🗂️ Saves original meal photos to Google Drive with timestamped filenames
  • 💬 Sends instant Telegram reply with full nutrition breakdown

Why it's useful

  • ⚡ Track nutrition in seconds—no manual entry or food databases
  • 📊 Build a complete meal history with photos and macros in one place
  • 🎯 AI estimates portion sizes and hidden ingredients (oils, sauces)
  • 🏋️ Perfect for fitness tracking, meal prep, or health monitoring
  • 📱 Works entirely through Telegram—no extra apps needed

How it works

  • 📲 Telegram Trigger → receives meal photo
  • 🗂️ Google Drive → saves image with timestamp
  • 🔎 Gemini Vision → analyzes food, estimates portions and macros
  • 🤖 AI Agent → structures output (meal name, calories, protein, carbs, fats)
  • 📄 Google Sheets → appends row with all nutrition data
  • 💬 Telegram Reply → confirms with full breakdown

What you'll need

  • 🤖 Telegram Bot token
  • 🧠 Google Gemini API key (includes Vision capabilities)
  • 🔐 Google OAuth for Sheets + Drive
  • 📊 Google Sheet with columns: Meal_Name, Date, Meal_description, Calories, Proteins, Carbs, Fats

Setup steps

  • 🔗 Connect credentials: Telegram, Google Gemini, Google Sheets, Google Drive
  • 📄 Create Google Sheet with nutrition columns (see format above)
  • 🗂️ Create Google Drive folder for meal photos
  • 🧭 Update sheet ID and Drive folder ID in workflow
  • 🧪 Test: send a meal photo via Telegram and check Sheet + Drive

Customization ideas

  • 📈 Daily summary: add scheduled workflow to calculate daily totals
  • 🎯 Goal tracking: set IF conditions to alert when over/under calorie targets
  • 📊 Charts: connect to Data Studio/Looker for visual progress tracking
  • 🏃 Fitness integration: sync with MyFitnessPal or fitness apps

Who it's for

  • 🏋️ Fitness enthusiasts tracking macros without manual logging
  • 🥗 Meal preppers analyzing portion sizes and nutrition
  • 💪 Athletes monitoring calorie and protein intake
  • 🩺 Health-conscious individuals building meal history
  • 👨‍🍳 Nutritionists collecting client food data

Quick Setup Guide - Before You Start - What You Need:

  • 🔗 Telegram Bot (create via @BotFather)
  • 🧠 Google Gemini API key with Vision enabled (get it here)
  • 🔐 Google account for Sheets and Drive access
  • 📊 Basic spreadsheet to track your meals

Want help customizing?

📧 anirpoke@gmail.com 🔗 LinkedIn

n8n Workflow: Track Nutrition with Telegram Food Photos, Gemini Vision AI, and Google Sheets

This n8n workflow provides a seamless way to track your nutrition by simply sending food photos via Telegram. It leverages Google's Gemini Vision AI to analyze the food in the image, extract nutritional information, and then logs this data into a Google Sheet for easy tracking and analysis.

What it does

  1. Listens for Telegram Messages: The workflow is triggered whenever a new message is received in a configured Telegram bot.
  2. Analyzes Food Photo with Gemini Vision AI: If the Telegram message contains a photo, it is sent to Google's Gemini Vision AI. The AI analyzes the image to identify food items and attempts to extract relevant nutritional information.
  3. Parses AI Output: The response from the Gemini Vision AI is then parsed to extract structured nutritional data.
  4. Stores Data in Google Sheets: The extracted nutritional data (e.g., food items, estimated calories, macronutrients) is appended as a new row in a specified Google Sheet.
  5. Confirms via Telegram: A confirmation message is sent back to the user on Telegram, summarizing the logged nutrition entry.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token and a chat ID where the bot will listen for messages and send responses.
  • Google Gemini API Key: Access to Google Gemini Vision AI (via an API key or service account).
  • Google Sheets Account: A Google Sheets spreadsheet to store the nutrition data.
  • Google Drive Account: To handle file uploads from Telegram (implicitly used when processing images).

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Telegram Trigger:
    • Set up your Telegram Bot credential.
    • Ensure the "Telegram Trigger" node is configured to listen for new messages from your bot.
  3. Configure Google Gemini:
    • Set up your Google Gemini credential.
    • Configure the "Google Gemini" node with the necessary API key or authentication.
    • The "AI Agent" node and "Google Gemini Chat Model" node will use this credential for AI processing.
  4. Configure Google Sheets:
    • Set up your Google Sheets credential.
    • Specify the Spreadsheet ID and Sheet Name where you want the nutrition data to be logged in the "Google Sheets" node. Ensure the sheet has appropriate headers (e.g., "Date", "Food Item", "Calories", "Protein", "Carbs", "Fat").
  5. Configure Google Drive:
    • Set up your Google Drive credential. This is implicitly used for handling the image file from Telegram.
  6. Activate the Workflow: Once all credentials and configurations are set, activate the workflow.

Now, simply send a photo of your meal to your Telegram bot, and the workflow will automatically process it and log the nutritional details into your Google Sheet!

Related Templates

Automate RSS to social media pipeline with AI, Airtable & GetLate for multiple platforms

Overview Automates your complete social media content pipeline: sources articles from Wallabag RSS, generates platform-specific posts with AI, creates contextual images, and publishes via GetLate API. Built with 63 nodes across two workflows to handle LinkedIn, Instagram, and Bluesky—with easy expansion to more platforms. Ideal for: Content marketers, solo creators, agencies, and community managers maintaining a consistent multi-platform presence with minimal manual effort. How It Works Two-Workflow Architecture: Content Aggregation Workflow Monitors Wallabag RSS feeds for tagged articles (to-share-linkedin, to-share-instagram, etc.) Extracts and converts content from HTML to Markdown Stores structured data in Airtable with platform assignment AI Generation & Publishing Workflow Scheduled trigger queries Airtable for unpublished content Routes to platform-specific sub-workflows (LinkedIn, Instagram, Bluesky) LLM generates optimized post text and image prompts based on custom brand parameters Optionally generates AI images and hosts them on Imgbb CDN Publishes via GetLate API (immediate or draft mode) Updates Airtable with publication status and metadata Key Features: Tag-based content routing using Wallabag's native system Swappable AI providers (Groq, OpenAI, Anthropic) Platform-specific optimization (tone, length, hashtags, CTAs) Modular design—duplicate sub-workflows to add new platforms in \~30 minutes Centralized Airtable tracking with 17 data points per post Set Up Steps Setup time: \~45-60 minutes for initial configuration Create accounts and get API keys (\~15 min) Wallabag (with RSS feeds enabled) GetLate (social media publishing) Airtable (create base with provided schema—see sticky notes) LLM provider (Groq, OpenAI, or Anthropic) Image service (Hugging Face, Fal.ai, or Stability AI) Imgbb (image hosting) Configure n8n credentials (\~10 min) Add all API keys in n8n's credential manager Detailed credential setup instructions in workflow sticky notes Set up Airtable database (\~10 min) Create "RSS Feed - Content Store" base Add 19 required fields (schema provided in workflow sticky notes) Get Airtable base ID and API key Customize brand prompts (\~15 min) Edit "Set Custom SMCG Prompt" node for each platform Define brand voice, tone, goals, audience, and image preferences Platform-specific examples provided in sticky notes Configure platform settings (\~10 min) Set GetLate account IDs for each platform Enable/disable image generation per platform Choose immediate publish vs. draft mode Adjust schedule trigger frequency Test and deploy Tag test articles in Wallabag Monitor the first few executions in draft mode Activate workflows when satisfied with the output Important: This is a proof-of-concept template. Test thoroughly with draft mode before production use. Detailed setup instructions, troubleshooting tips, and customization guidance are in the workflow's sticky notes. Technical Details 63 nodes: 9 Airtable operations, 8 HTTP requests, 7 code nodes, 3 LangChain LLM chains, 3 RSS triggers, 3 GetLate publishers Supports: Multiple LLM providers, multiple image generation services, unlimited platforms via modular architecture Tracking: 17 metadata fields per post, including publish status, applied parameters, character counts, hashtags, image URLs Prerequisites n8n instance (self-hosted or cloud) Accounts: Wallabag, GetLate, Airtable, LLM provider, image generation service, Imgbb Basic understanding of n8n workflows and credential configuration Time to customize prompts for your brand voice Detailed documentation, Airtable schema, prompt examples, and troubleshooting guides are in the workflow's sticky notes. Category Tags social-media-automation, ai-content-generation, rss-to-social, multi-platform-posting, getlate-api, airtable-database, langchain, workflow-automation, content-marketing

Mikal Hayden-GatesBy Mikal Hayden-Gates
188

Ai website scraper & company intelligence

AI Website Scraper & Company Intelligence Description This workflow automates the process of transforming any website URL into a structured, intelligent company profile. It's triggered by a form, allowing a user to submit a website and choose between a "basic" or "deep" scrape. The workflow extracts key information (mission, services, contacts, SEO keywords), stores it in a structured Supabase database, and archives a full JSON backup to Google Drive. It also features a secondary AI agent that automatically finds and saves competitors for each company, building a rich, interconnected database of company intelligence. --- Quick Implementation Steps Import the Workflow: Import the provided JSON file into your n8n instance. Install Custom Community Node: You must install the community node from: https://www.npmjs.com/package/n8n-nodes-crawl-and-scrape FIRECRAWL N8N Documentation https://docs.firecrawl.dev/developer-guides/workflow-automation/n8n Install Additional Nodes: n8n-nodes-crawl-and-scrape and n8n-nodes-mcp fire crawl mcp . Set up Credentials: Create credentials in n8n for FIRE CRAWL API,Supabase, Mistral AI, and Google Drive. Configure API Key (CRITICAL): Open the Web Search tool node. Go to Parameters → Headers and replace the hardcoded Tavily AI API key with your own. Configure Supabase Nodes: Assign your Supabase credential to all Supabase nodes. Ensure table names (e.g., companies, competitors) match your schema. Configure Google Drive Nodes: Assign your Google Drive credential to the Google Drive2 and save to Google Drive1 nodes. Select the correct Folder ID. Activate Workflow: Turn on the workflow and open the Webhook URL in the “On form submission” node to access the form. --- What It Does Form Trigger Captures user input: “Website URL” and “Scraping Type” (basic or deep). Scraping Router A Switch node routes the flow: Deep Scraping → AI-based MCP Firecrawler agent. Basic Scraping → Crawlee node. Deep Scraping (Firecrawl AI Agent) Uses Firecrawl and Tavily Web Search. Extracts a detailed JSON profile: mission, services, contacts, SEO keywords, etc. Basic Scraping (Crawlee) Uses Crawl and Scrape node to collect raw text. A Mistral-based AI extractor structures the data into JSON. Data Storage Stores structured data in Supabase tables (companies, company_basicprofiles). Archives a full JSON backup to Google Drive. Automated Competitor Analysis Runs after a deep scrape. Uses Tavily web search to find competitors (e.g., from Crunchbase). Saves competitor data to Supabase, linked by company_id. --- Who's It For Sales & Marketing Teams: Enrich leads with deep company info. Market Researchers: Build structured, searchable company databases. B2B Data Providers: Automate company intelligence collection. Developers: Use as a base for RAG or enrichment pipelines. --- Requirements n8n instance (self-hosted or cloud) Supabase Account: With tables like companies, competitors, social_links, etc. Mistral AI API Key Google Drive Credentials Tavily AI API Key (Optional) Custom Nodes: n8n-nodes-crawl-and-scrape --- How It Works Flow Summary Form Trigger: Captures “Website URL” and “Scraping Type”. Switch Node: deep → MCP Firecrawler (AI Agent). basic → Crawl and Scrape node. Scraping & Extraction: Deep path: Firecrawler → JSON structure. Basic path: Crawlee → Mistral extractor → JSON. Storage: Save JSON to Supabase. Archive in Google Drive. Competitor Analysis (Deep Only): Finds competitors via Tavily. Saves to Supabase competitors table. End: Finishes with a No Operation node. --- How To Set Up Import workflow JSON. Install community nodes (especially n8n-nodes-crawl-and-scrape from npm). Configure credentials (Supabase, Mistral AI, Google Drive). Add your Tavily API key. Connect Supabase and Drive nodes properly. Fix disconnected “basic” path if needed. Activate workflow. Test via the webhook form URL. --- How To Customize Change LLMs: Swap Mistral for OpenAI or Claude. Edit Scraper Prompts: Modify system prompts in AI agent nodes. Change Extraction Schema: Update JSON Schema in extractor nodes. Fix Relational Tables: Add Items node before Supabase inserts for arrays (social links, keywords). Enhance Automation: Add email/slack notifications, or replace form trigger with a Google Sheets trigger. --- Add-ons Automated Trigger: Run on new sheet rows. Notifications: Email or Slack alerts after completion. RAG Integration: Use the Supabase database as a chatbot knowledge source. --- Use Case Examples Sales Lead Enrichment: Instantly get company + competitor data from a URL. Market Research: Collect and compare companies in a niche. B2B Database Creation: Build a proprietary company dataset. --- WORKFLOW IMAGE --- Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|-----------| | Form Trigger 404 | Workflow not active | Activate the workflow | | Web Search Tool fails | Missing Tavily API key | Replace the placeholder key | | FIRECRAWLER / find competitor fails | Missing MCP node | Install n8n-nodes-mcp | | Basic scrape does nothing | Switch node path disconnected | Reconnect “basic” output | | Supabase node error | Wrong table/column names | Match schema exactly | --- Need Help or More Workflows? Want to customize this workflow for your business or integrate it with your existing tools? Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. Contact: shilpa.raju@digitalbiz.tech For more such offerings, visit us: https://www.digitalbiz.tech ---

DIGITAL BIZ TECHBy DIGITAL BIZ TECH
923

Automate YouTube thumbnail creation & social publishing with Templated.io & Blotato

💥 Automate YouTube thumbnail creation from video links (with templated.io) Who is this for? This workflow is designed for content creators, YouTubers, and automation enthusiasts who want to automatically generate stunning YouTube thumbnails and streamline their publishing workflow — all within n8n. If you regularly post videos and spend hours designing thumbnails manually, this automation is built for you. --- What problem is this workflow solving? Creating thumbnails is time-consuming — yet crucial for video performance. This workflow completely automates that process: No more manual design. No more downloading screenshots. No more repetitive uploads. In less than 2 minutes, you can refresh your entire YouTube thumbnail library and make your channel look brand new. --- What this workflow does Once activated, this workflow can: ✅ Receive YouTube video links via Telegram ✅ Extract metadata (title, description, channel info) via YouTube API ✅ Generate a custom thumbnail automatically using Templated.io ✅ Upload the new thumbnail to Google Drive ✅ Log data in Google Sheets ✅ Send email and Telegram notifications when ready ✅ Create and publish AI-generated social posts on LinkedIn, Facebook, and Twitter via Blotato Bonus: You can re-create dozens of YouTube covers in minutes — saving up to 5 hours per week and around $500/month in manual design effort. --- Setup 1️⃣ Get a YouTube Data API v3 key from Google Cloud Console 2️⃣ Create a Templated.io account and get your API key + template ID 3️⃣ Set up a Telegram bot using @BotFather 4️⃣ Create a Google Drive folder and copy the folder ID 5️⃣ Create a Google Sheet with columns: Date, Video ID, Video URL, Title, Thumbnail Link, Status 6️⃣ Get your Blotato API key from the dashboard 7️⃣ Connect your social media accounts to Blotato 8️⃣ Fill all credentials in the Workflow Configuration node 9️⃣ Test by sending a YouTube URL to your Telegram bot --- How to customize this workflow Replace the Templated.io template ID with your own custom thumbnail layout Modify the OpenAI node prompts to change text tone or style Add or remove social platforms in the Blotato section Adjust the wait time (default: 5 minutes) based on template complexity Localize or translate the generated captions as needed --- Expected Outcome With one Telegram message, you’ll receive: A professional custom thumbnail An instant email + Telegram notification A Google Drive link with your ready-to-use design And your social networks will be automatically updated — no manual uploads. --- Credits Thumbnail generation powered by Templated.io Social publishing powered by Blotato Automation orchestrated via n8n --- 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 🎥 Watch This Tutorial --- 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

Dr. FirasBy Dr. Firas
2397