🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI

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Who Should Use This?

Influencers, marketers, and data teams who need instant insights into audience sentiment—without manual exports or scattered tools.

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The Challenge

• Manual exports from YouTube Studio
• Time-consuming sentiment tagging
• Data scattered across multiple platforms

Our workflow automates everything: from fetching comments to logging analysis—so you can focus on insights, not spreadsheets.

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What You’ll Get

1. Dynamic Input
   Read a list of YouTube URLs from your Google Sheet.
2. Full Comment Harvest
   Pull all top-level comments (handles pagination 100/page).
3. Deep Sentiment Scan
   Classify each comment as Positive, Neutral, or Negative using OpenAI.
4. Smart Formatting
   Capture metadata (author, likes, timestamp) alongside sentiment.
5. Seamless Storage
   Append or update rows in your Google Sheet—ready for reporting.

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Easy Setup

1. Prepare Google Sheet
   • Create a sheet with a video_urls column (full YouTube links).
   • Add and authorize a Google Sheets Oauth or service-account credential in n8n.
2. Enable YouTube API
   • Activate Data API v3 in Google Cloud, grab an API key, and save as an HTTP credential in n8n.
3. Configure OpenAI
   • Enter your API key under the “OpenAI Chat” credential in n8n.
4. Import the Workflow
   • Paste the provided JSON into n8n.
5. Run Manually
   • Use the Manual Trigger node to start fetching and analyzing comments on demand.

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Customize to Your Needs

• Filter Comments: Add an IF node to process only comments with specific keywords or minimum likes.
• Automate Schedule: Swap the Manual Trigger for a Cron node if you later want periodic runs.
• Extended Analysis: Swap sentiment classification for topic extraction, summarization, or translation by tweaking the LLM prompt.
• Alternate Destinations: Replace Google Sheets with Airtable, Notion, or any database node.

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Tags

YouTube Google Sheets OpenAI Sentiment Analysis n8n Manual Trigger