Templates / Analyze YouTube comments sentiment with Gemini AI and Google Sheets

Analyze YouTube comments sentiment with Gemini AI and Google Sheets

Ready for 3.0

by Agent Circle ✓ · 1,296 views · created 2025-07-17 · Market Research, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 13 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, Google Gemini Chat Model and Google Sheets. It also calls googleapis.com over HTTP.

How it runs

Trigger: Manually, when you click “Execute workflow”.

  1. Get Video URLs (Google Sheets): uses Google Sheets
  2. Check If Video URL is Not Empty (If): checks a condition and branches into true / false
  3. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  4. HTTP Request: calls googleapis.com
  5. Check If - Success Response (If): checks a condition and branches into true / false
  6. Split Out: splits a list into separate items
  7. Check If - Comment Exists (If): checks a condition and branches into true / false
  8. AI Agent - Analyze Sentiment Of Every Comment (Sentiment Analysis): scores sentiment with AI, with model: Google Gemini Chat Model
  9. Update Video Status (Google Sheets): update
  10. Insert Comment Data & Analysis (Google Sheets): append or update

…plus 1 more step. See the full node list below.

Services it uses

OpenAI Chat ModelGoogle Gemini Chat ModelGoogle Sheets

HTTP calls to: googleapis.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (9)

From the author

This n8n workflow demonstrates how to use this AI Agent to extract, process, and analyze YouTube video comments to understand your audience beyond the view count. Use cases are many: Whether you're a YouTube creator exploring feedback, a social media manager…

Excerpt from Agent Circle's description on n8n.io.

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

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