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n8n GPT-4o Mini Swiggy Zomato Review Monitor: Telegram + Sheets

n8n GPT-4o Mini Swiggy Zomato Review Monitor: Telegram + Sheets

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n8n GPT-4o Mini Swiggy Zomato Review Monitor: Telegram + Sheets

n8n GPT-4o Mini Swiggy Zomato Review Monitor: Telegram + Sheets

Regular price £44.99
Regular price £44.99 Sale price
SAVE Sold out

Turn Swiggy & Zomato reviews into instant action—Telegram alerts + Google Sheets logging

This n8n workflow monitors new Swiggy and Zomato reviews, analyzes sentiment and urgency with OpenAI (gpt-4o-mini), drafts suggested replies, and logs everything to Google Sheets. Critical feedback is escalated via Telegram and Gmail, while non-critical reviews get ready-to-paste reply drafts. Every week, it also emails a dish-level sentiment report.

What this workflow does

  • Runs every 30 minutes to fetch review data from an HTTP endpoint or accepts new reviews via a webhook.
  • Normalizes review payloads from Swiggy/Zomato into a consistent format (IDs, ratings, text, dates, and ordered items).
  • Loads previously logged review IDs plus your menu from Google Sheets to prevent duplicates and enable dish matching.
  • Uses gpt-4o-mini to:
    • Classify sentiment and urgency
    • Extract dish mentions and key issues
    • Generate a suggested public reply and an internal action
  • Writes results to Google Sheets:
    • “Reviews Log”: one row per review
    • “Dish Mentions”: one row per dish mention
  • Alerts via Telegram + Gmail:
    • Critical reviews (low rating / high urgency) go to Telegram and escalate via Gmail
    • Non-critical reviews are posted to Telegram as reply drafts
  • Every Monday at 9 AM, generates a weekly HTML report (platform + dish sentiment) from the last two weeks, emails it via Gmail, posts a Telegram summary, and archives it in “Weekly Reports”.

Use cases

  • SaaS operators and restaurant teams who want faster review response without manual copy/paste
  • Automation engineers building a review monitoring system for multiple platforms (Swiggy + Zomato)
  • Teams that need dish-level sentiment tracking over time for menu improvements

Technical details

  • Triggering: scheduled every 30 minutes + webhook option
  • Nodes/controls: if, set, code, webhook
  • Messaging: Telegram
  • Email escalation + weekly reports: Gmail
  • Data storage: Google Sheets (“Reviews Log”, “Dish Mentions”, “Weekly Reports”)
  • AI analysis: OpenAI (gpt-4o-mini)
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