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Collect YouTube comments for sentiment analysis
Collects the top comments from several videos into one clean dataset with text, likes, author and date. A quick way to build a corpus for sentiment analysis, topic modelling or LLM classification – for instance to compare audience reaction across product review videos.
YouTube Comments Scraper – Comments & Replies, No API Keypulsedata/youtube-comments-scraper
Video
Author
Comment
Likes
+6 fieldsTextNumberBooleanListObject
Input
YouTube video URLs(required):https://www.youtube.com/watch?v=aircAruvnKk+1
Max comments per video:1000
Sort order:top
Include replies:false
Output fields
Video
Author
Comment
Likes
Replies
Posted
Reply
Pinned
Hearted
ID
Sign up on Apify01
Create your Apify account to access the YouTube Comments Scraper – Comments & Replies, No API Key.
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.
