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Analyze Fan Sentiment in Music Video YouTube Comments
For record labels, artists and music marketers: scrape comments under music videos to gauge fan reactions, spot praise or backlash and catch viral moments. Returns comment text, author, likeCount, publishedTime, isPinned/isHearted flags and video title/channel, ready for sentiment analysis in a spreadsheet or LLM.
YouTube Comments Scraper - Replies, Likes & Sort by Newesttenfoldfleet/youtube-comments-scraper
Video
Comment
Author
Likes
+8 fieldsTextNumberBooleanListObject
Input
YouTube video URLs or IDs(required):https://www.youtube.com/watch?v=kJQP7kiw5Fk+4
Max comments per video:50
Sort comments by:top
Include replies:false
Output fields
Video
Comment
Author
Likes
Replies
Published
Reply
Pinned
Hearted
By creator
Link
Error
Sign up on Apify01
Create your Apify account to access the YouTube Comments Scraper - Replies, Likes & Sort by Newest.
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.
