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Export YouTube comments to CSV for customer, competitor, and pain-point research. Export YouTube comments to CSV for customer, competitor, and pain-point research. ExtractBeagle helps product and marketing teams, agencies, consultants, and sales teams collect public YouTube comments without copying and pasting them. HOW IT WORKS 1. Open a YouTube video or paste its URL. 2. Choose 1 to 50 top-level comments. 3. Sort by Most relevant or Newest. 4. Click Export and save the CSV. CSV FIELDS • Video URL and video ID • Comment ID and comment text • Author name and channel URL • Published and updated dates • Like count and reply count CREDITS One returned comment uses one ExtractBeagle credit. The extension shows the maximum charge before you start. You pay only for comments returned. Failed exports and empty results do not use credits. BULK EXPORTS The Chrome extension exports up to 50 comments per request. Use the ExtractBeagle dashboard for exports above 50 comments. PRIVACY Google sign-in is required. During sign-in, Google provides your email address, first name, and last name. The extension sends your selected YouTube video URL and Google access token to ExtractBeagle over HTTPS. ExtractBeagle verifies your account and uses the official YouTube Data API to retrieve public comments. The export endpoint does not save comment content to the ExtractBeagle database. The CSV downloads to your device. ExtractBeagle does not sell extension user data or use it for advertising. SUPPORT For support, contact extractg2@gmail.com.
Aug 27, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.