Go to example tasks
YouTube comments dataset for sentiment analysis
Created by
Joshua Smith
Build a privacy-friendly comment dataset for sentiment analysis or LLM training: top comments with likes and reply counts, authors replaced by stable pseudonymous IDs.
Best Damn YouTube Comments Scraperjosh99smith/youtube-comments-scraper
Video
Author
Comment
Likes
+5 fieldsTextNumberBooleanListObject
Input
YouTube URLs(required):https://www.youtube.com/watch?v=jNQXAC9IVRw+1
Videos per channel:3
Max comments per video:500
Author data:hash
Output fields
Video
Author
Comment
Likes
Replies
Reply?
By creator
Posted
Link
Sign up on Apify01
Create your Apify account to access the Best Damn YouTube Comments 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.
