๐Ÿ“Š Analyze YouTube comments sentiment with Gemini AI and Google Sheets

โšก 1,202 views ยท ๐Ÿ“Š Market Research & Insights

๐Ÿ’ก Pro Tip โ€” YouTubeโ€™s API quotas can be a bottleneck when youโ€™re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments โ€” no quota limits, just structured data.

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Description

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 youโ€™re a YouTube creator exploring feedback, a social media manager fine-tuning engagement strategy, a brand team monitoring campaign sentiment, or a marketing agency conducting audits โ€“ this tool brings audience voice to the forefront with structured insights.

How It Works

How To Set Up

Requirements

How To Customize

Need Help?

If youโ€™d like this workflow customized, or if youโ€™re looking to build a tailored AI Agent for your own business - please feel free to reach out to Agent Circle. Weโ€™re always here to support and help you to bring automation ideas to life.

Join our community on different platforms for assistance, inspiration and tips from others.

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๐Ÿ”— Nodes Used

Google Sheets, HTTP Request, OpenAI Chat Model, Google Gemini Chat Model, Sentiment Analysis

๐Ÿ“ฅ Import

Download workflow.json and import into n8n: Workflow menu โ†’ Import from File

๐Ÿ“– Importing guide ยท ๐Ÿ”‘ Credential setup