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Build a YouTube comment dataset for research or training
Created by
Rigel Bytes
Build a large YouTube comment dataset for market research, trend spotting, or ML training data. This task extracts comments with commentSort "new" and maxItems 0 (unlimited), returning text, author, commentId, likeCount, isReply, publishedAt, and full video metadata as JSON, CSV, or Excel. Pricing starts at $2.50 per 1,000 comments, with volume discounts.
YouTube Comment Scraperrigelbytes/youtube-comment-scraper
Video
Author
Comment
Likes
+13 fieldsTextNumberBooleanListObject
Input
YouTube URLs(required):https://www.youtube.com/watch?v=jNQXAC9IVRw
Max Comments:0
Comment Sort:new
Output fields
Video
Author
Comment
Likes
Published
Reply
Hearted
Video URL
Comment ID
Parent ID
Author Channel ID
Video ID
Channel
Channel ID
Video Published
Views
Total Comments
Sign up on Apify01
Create your Apify account to access the YouTube Comment Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
