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Build a YouTube Comment Sentiment Analysis Dataset
Created by
ВAH
This actor collects the raw comments and replies for sentiment analysis of a YouTube video. Paste a video URL and it returns up to max_comments comments with replies, each carrying comment_content, comment_user, comment_time, and comment_like_count. Export to CSV or JSON and feed it into your own sentiment, emotion, or toxicity model. It gathers comments only, not sentiment scores.
YouTube Comments & Replies Scraperdelicious_zebu/youtube-comments-replies-scraper
Video Link
Post Like Count
Post Comment Count
Comment User
+9 fieldsTextNumberBooleanListObject
Input
YouTube Video URL(s)(required):https://www.youtube.com/watch?v=kJQP7kiw5Fk
Max top-level comments per video:500
Max replies per top-level comment:10
Output fields
Video Link
Post Like Count
Post Comment Count
Comment User
Comment Content
Comment Time
Comment Like Count
Comment Reply Count
Reply User
Reply Content
Reply Time
Reply Like Count
Crawl Time
Sign up on Apify01
Create your Apify account to access the YouTube Comments & Replies 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.
