Analyze YouTube comments sentiment with Gemini AI and Google Sheets

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 fine-tuning engagement strategy, a brand team monitoring campaign sentiment, or a marketing agency conducting audits – this tool brings audience voice to the forefront with structured insights.

How It Works

• The workflow starts when you manually click Test Workflow or Execute Workflow in n8n.
• It collects all the rows marked as Ready in Column A in the Video URLs tab of your connected Google Sheet.
• The tool checks if the URLs are not empty first, then it loops through each valid video URL and sends a GET request to the YouTube API to fetch its comments.
• It checks the response from the YouTube API. If the call is successful, the comment data is extracted and split into individual entries.
• The tool then checks whether the video URL has any comment.
• If no comment is found, the video URL’s status in Column A in the Video URLs tab is updated to Finished right away.
• If comments are available, they are passed to the AI Agent - Analyze Sentiment Of Every Comment using the Google Gemini chat model, where each comment is analyzed and classified by sentiment: Positive, Neutral, or Negative.
• Next, the analysis results are saved to the Results tab in your connected Google Sheet.
• Finally, the original video URL’s status in Column A in the Video URLs tab is updated to Finished, ensuring it won’t be reprocessed in the loop.

How To Set Up

• Download the working package and import it into your n8n interface.
• Duplicate the YouTube Comment Analyzer Google Sheet template to your Google Sheets account.
• Set up necessary credentials for tools access and usability:
  • For Google Sheets access, ensure each node is properly connected to the correct tab in your connected Google Sheet template: Node Get Video URLs → connected to the Video URLs tab Node Insert Comment Data & Analysis → connected to the Results tab Node Update Video Status → connected to the Video URLs tab
  • For YouTube access, connect to its API in the following node: Node HTTP Request - Get Comments
  • For Google Gemini access, connect to its API in the following node: Node Google Gemini Chat Model
• Enter video URLs in Column B in the Video URLs tab in your connected Google Sheet and mark their status in Column A as Ready.
• Click Test Workflow or Execute Workflow to run the process.
• Check the results in the Results tab of the connected Google Sheet template to view all collected comments along with their sentiment analysis.

Requirements

• Basic setup in Google Cloud Console (OAuth or API Key method enabled) with enabled access to YouTube and Google Sheets.
• API access to Google Gemini for sentiment analysis.

How To Customize

• By default, the workflow is manually triggered in N8N. However, you can automate the process by adding a Google Sheets trigger that monitors new entries in your connected Google Sheet template and starts the workflow automatically.
• In the AI Agent - Analyze Sentiment Of Every Comment node, you can also change the AI chat model. By default, it uses Google Gemini, but you can easily replace it with any other compatible provider such as Deepseek, Grok, etc.
• You can customize the sentiment categories and instruction prompt for the AI Agent in the AI Agent – Analyze Sentiment Of Every Comment node following your needs. Then, the Agent can return sentiment results that align more closely with your intended use case.
• Also, feel free to integrate additional nodes (like Telegram or Email) to notify you and your team whenever updates and analysis succeed or fail.

Need Help?

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

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