Templates / Aggregate web product reviews and sentiment with Decodo and Google Gemini

Aggregate web product reviews and sentiment with Decodo and Google Gemini

Unknown

by Abdullah Alshiekh ✓ · 36 views · created 2025-12-23 · Market Research, AI Summarization

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 13 nodes and runs on Telegram events (message). Along the way it connects Google Gemini Chat Model, Telegram and Decodo (community).

How it runs

Trigger: On Telegram events (message).

  1. Set Search Query (Edit Fields (Set)): sets 1 field: query
  2. Google Search (Decodo): google search
  3. Extract URLs (Code): runs custom JavaScript code
  4. Scrape Page Content (Decodo): uses Decodo
  5. Clean HTML (Code): runs custom JavaScript code
  6. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  7. Merge Results (Code): runs custom JavaScript code
  8. Analyze Sentiment (AI Agent): runs an AI agent, with model: Google Gemini Chat Model
  9. Draft Final Report (AI Agent): runs an AI agent, with model: Google Gemini Chat Model
  10. Reply to User (Telegram): uses Telegram

Services it uses

Google Gemini Chat ModelTelegramDecodo (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 Google Search1, Scrape Page Content1).

Nodes used (8)

From the author

What Problem Does It Solve? - Brands and marketers spend hours manually searching Google for product reviews. - Reading through multiple websites to gauge general sentiment is tedious and inefficient. - It is difficult to spot recurring customer complaints or…

Excerpt from Abdullah Alshiekh's description on n8n.io.

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

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