YouTube comment scraper & analyzer with GPT-4o + email summary report
This automation monitors a Google Sheet for new YouTube videos to extract and process audience comments using GPT-4o. It intelligently summarizes viewer sentiment and key discussion points into a professional email report sent directly to your inbox. Finally, it keeps your spreadsheet organized by updating the processing status automatically.
Start BuildingWhat This Recipe Does
The YouTube Comment Scraper automation transforms how brands engage with their audience by turning social feedback into actionable data. Instead of manually scrolling through hundreds of comments, this workflow automatically monitors your YouTube videos, extracts viewer feedback, and organizes it into a centralized Google Sheet. It goes beyond simple data collection by filtering content and notifying your team via Gmail when specific criteria are met. This allows marketing teams to identify customer pain points, track sentiment trends, and respond to high-priority inquiries in real-time. By automating the extraction and distribution of community insights, you can bridge the gap between social media engagement and product development. This tool is essential for businesses that need to maintain a high level of community management without dedicating endless hours to manual monitoring. Ultimately, it provides a structured way to listen to your audience at scale, ensuring no valuable feedback or sales lead ever goes unnoticed.
What You'll Get
Forms, dashboards, and UI components ready to use
Background automations that run on your schedule
REST APIs for external integrations
BigMailer, Google Sheets configured and ready
How It Works
- 1
Click "Start Building" and connect your accounts
Runwork will guide you through connecting BigMailer and Google Sheets
- 2
Describe any customizations you need
The AI will adapt the recipe to your specific requirements
- 3
Preview, test, and deploy
Your app is ready to use in minutes, not weeks
Who Uses This
- Marketing managers use this to track audience sentiment and identify common questions for future content planning.
- Customer support teams use this to capture and resolve product issues mentioned in video comments before they escalate.
- Product researchers use this to gather competitive intelligence and feature requests directly from the user community.
Frequently Asked Questions
Do I need to manually trigger the data collection?
No, the automation is triggered automatically based on updates to your designated Google Sheet, ensuring your data stays current without manual intervention.
Can I filter the comments for specific keywords?
Yes, the integrated logic allows you to set specific conditions so you only receive notifications for comments that matter most to your business.
Where is the extracted data stored?
All scraped comments and metadata are neatly organized into a Google Sheet, making it easy to share with your team or import into other reporting tools.
Does this require a YouTube developer account?
The workflow connects via standard API credentials, and the setup process guides you through linking your YouTube and Google Workspace accounts securely.
Importing from n8n?
This recipe uses nodes like StickyNote, Limit, Langchain.agent, Langchain.lmChatOpenAi and 8 more. With Runwork, you don't need to learn n8n's workflow syntax—just describe what you want in plain English.
Based on n8n community workflow. View original
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