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Scrape YouTube Comments for Audience & Market Research

This actor turns a YouTube video's comment section into an audience-research dataset. Provide the video URL and it returns each comment with comment_user, comment_content, comment_like_count, and comment_time, plus nested replies. Use it for social listening, brand-mention tracking, product feedback, and audience-reaction analysis. Set max_comments to control how many comments you collect.

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YouTube Comments Scraper - Replies, Likes & Shorts
YouTube Comments Scraper - Replies, Likes & Shortsdelicious_zebu/youtube-comments-replies-scraper
Row type
Comment
Reply
Comment author
+34 fields
Text
Number
Boolean
List
Object

Input

YouTube video links(required):https://www.youtube.com/watch?v=JGwWNGJdvx8
Max top-level comments per video:300
Max replies per comment:10

Output fields

Row type
Comment
Reply
Comment author
Reply author
Comment likes
Reply likes
Comment replies
Comment time
Reply time
Pinned
Hearted
Reply hearted
Comment by creator
Reply by creator
Video title
Video URL
Video likes
Video comments
Comment rank
Comment link
Reply link
Comment ID
Reply ID
Comment author channel ID
Comment author URL
Comment author avatar
Comment author verified
Comment edited
Comment date (approx.)
Reply author channel ID
Reply author URL
Reply author avatar
Reply author verified
Reply edited
Reply date (approx.)
Video ID
Scraped at

How it works

Sign up on Apify01

Create your Apify account to access the YouTube Comments Scraper - Replies, Likes & Shorts.

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.

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