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Analyze audience sentiment on a YouTube video
Created by
Rigel Bytes
Analyze audience sentiment on any YouTube video without copying comments by hand. This pre-built task runs the YouTube Comment Scraper on one video URL with commentSort "top", returning up to 200 comments — text, author, likeCount, isFavorited, isReply, and publishedAt — as JSON, CSV, or Excel. Pricing starts at $2.50 per 1,000 comments, with volume discounts at higher tiers.
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:200
Comment Sort:top
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.
