Templates / AI-powered Amazon product recommendations with Gemini 2.5 Flash via Telegram

AI-powered Amazon product recommendations with Gemini 2.5 Flash via Telegram

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by Khairul Muhtadin ✓ · 287 views · created 2025-11-19 · Market Research, AI Chatbot

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram, Google Gemini Chat Model and Decodo (community).

How it runs

Trigger: On Telegram events (message) (plus 1 other trigger).

  1. Validate Product Input (Basic LLM Chain): sends a prompt to an LLM, with model: Gemini 2.5 Flash; output parser: Parse Validation Output
  2. Give Delay (Wait): waits 2 seconds
  3. Format Error Notification (Code): runs custom JavaScript code
  4. Check Product Validity (If): checks a condition and branches into true / false
  5. Send Processing Status (Telegram): uses Telegram
  6. Notify Admin (Telegram): uses Telegram
  7. Extract Chat & Query (Edit Fields (Set)): sets 2 fields: chatId, message
  8. Send Valid Confirmation (Telegram): uses Telegram
  9. Send Invalid Message (Telegram): uses Telegram
  10. Decodo: amazon

…plus 3 more steps. See the full node list below.

Services it uses

TelegramGoogle Gemini Chat ModelDecodo (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @decodo/n8n-nodes-decodo is verified or supports 3.0 (used in Decodo API).

Nodes used (11)

From the author

Send a product name, get back smart Amazon picks. The Decodo Amazon Product Recommender delivers AI-powered shopping recommendations through Telegram: price comparisons, ratings, sales data, and categorized picks (budget, premium, best value) in under 40…

Excerpt from Khairul Muhtadin's description on n8n.io.

View the original on n8n.io → Check your own copy

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