YouTube comment scraper and analyzer with AI and 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.
Run this with your team's AIWhat This Recipe Does
The YouTube Comment Scraper automation transforms manual social media monitoring into a streamlined data collection engine. Instead of spending hours scrolling through comment sections to understand viewer sentiment or identify potential leads, this workflow automatically extracts relevant interactions and organizes them into a centralized Google Sheet. By bridging the gap between video engagement and structured data, your team can quickly identify recurring customer pain points, track the success of marketing campaigns, and respond to high-priority inquiries in real-time. This tool is essential for brands looking to leverage social proof and community feedback to drive product development and marketing strategy. With integrated Gmail notifications, you ensure that critical feedback never goes unnoticed, allowing for immediate engagement with your audience. By automating the extraction process, you free up your creative and analytical teams to focus on high-level strategy rather than tedious data entry. This workflow ensures that your social media presence becomes a measurable asset for business growth.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
BigMailer, Google Sheets connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect BigMailer and Google Sheets once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Market researchers use this to analyze competitor video comments to identify gaps in the market and common customer complaints.
- Community managers use this to aggregate feedback from product launch videos, ensuring they can address user concerns across hundreds of comments quickly.
- Lead generation teams use this to identify potential customers who are asking specific questions or expressing interest in services mentioned in video content.
Frequently Asked Questions
Do I need to manually trigger the scraper for every new video?
No, the automation is triggered automatically whenever you add a new video URL to your designated Google Sheet.
Can I limit the number of comments retrieved to save processing time?
Yes, the workflow includes a limit function that allows you to specify exactly how many comments you want to extract per video.
How will I know when the data collection is complete?
The system is configured to send an automated Gmail notification once the scraping process is finished and the data is ready in your spreadsheet.
Can I filter for specific keywords within the comments?
While the standard setup captures all comments, the integrated logic nodes can be adjusted to flag or prioritize comments containing specific terms or phrases.
Coming from n8n?
This recipe uses nodes like StickyNote, Limit, Langchain.agent, Langchain.lmChatOpenAi and 8 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork