YouTube Scraper
Extract YouTube comments with author details, like counts, and timestamps to analyze audience sentiment, discover leads, and monitor brand conversations.
Preview the data you'll receive
Text | Author | Date | Likes | Replies | |
|---|---|---|---|---|---|
| Excited to announce our new product launch! | Alex Johnson | 2026-03-07 | 19,048 | 33,555 | |
| Great insights from today's conference on AI tr... | Sam Chen | 2026-03-06 | 23,305 | 8,910 | |
| Looking for talented engineers to join our team. | Jordan Lee | 2026-03-05 | 22,002 | 40,602 | |
| Just published a new article on data strategies. | Taylor Kim | 2026-03-04 | 12,266 | 12,517 | |
| Celebrating 5 years at this amazing company! | Casey Smith | 2026-03-03 | 33,494 | 29,790 |
Capture all available data fields automatically
Download as CSV, JSON, or sync to apps
Process hundreds of URLs in one job
Real-time extraction, always up-to-date
99%+ success rate with automatic retries
Programmatic access for developers
How teams use this scraper
Feed comment data into AI/NLP pipelines to measure audience reactions and brand perception
Find viewers actively asking questions your product answers — prime warm outreach candidates
Collect genuine user opinions from product review and tutorial videos
Understand what questions and concerns your target audience has in their own words
Connect your scraped data to your favorite tools
Auto-sync results to spreadsheets
Real-time delivery to any endpoint
Programmatic access for developers
Connect to 1000+ apps
Download in standard formats
Common questions about Comments
See how different teams put this data to work
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