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Analyze top comments on a viral music video

Collect the top YouTube comments on Despacito with text, likes, reply count and author, for music fans, labels and sentiment research.

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YouTube Comments Scraper (Fast & Cheap)
YouTube Comments Scraper (Fast & Cheap)juliob.rangel/youtube-comments-fast
videoId
author
text
likes
+4 fields
Text
Number
Boolean
List
Object

Input

Video URLs or IDs:https://www.youtube.com/watch?v=kJQP7kiw5Fk
Max comments per video:30
Sort by:top

Output fields

videoId
author
text
likes
replyCount
publishedTime
isPinned
commentId

How it works

Sign up on Apify or log in

The YouTube Comments Scraper (Fast & Cheap) Actor is ready to run with the inputs already set for "Analyze top comments on a viral music video". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze top comments on a viral music video" task

The YouTube Comments Scraper (Fast & Cheap) Actor will start running based on the input automatically. You can also change all the input fields, like video urls or ids, max comments per video, and more, to match your specific use case.

Receive the "Analyze top comments on a viral music video" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as videoid, author, text, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Analyze top comments on a viral music video" task via API.

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