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YouTube Comments Dataset for AI and LLMs

Build a YouTube comments dataset for LLM training, RAG or classification: comments from many videos in one run.

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YouTube Comments Scraper: Replies, Likes & Hearts
YouTube Comments Scraper: Replies, Likes & Heartswulfcare/youtube-comments-scraper
Comment
Author
Likes
Replies
+7 fields
Text
Number
Boolean
List
Object

Input

YouTube URLs:https://www.youtube.com/@veritasium
Maximum videos per channel, playlist or search:10
Maximum comments per video:200

Output fields

Comment
Author
Likes
Replies
Type
Posted
Creator heart
Pinned
Video
Open
Error

How it works

Sign up on Apify or log in

The YouTube Comments Scraper: Replies, Likes & Hearts Actor is ready to run with the inputs already set for "YouTube Comments Dataset for AI and LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Comments Dataset for AI and LLMs" task

The YouTube Comments Scraper: Replies, Likes & Hearts Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls, maximum videos per channel, playlist or search, and more, to match your specific use case.

Receive the "YouTube Comments Dataset for AI and LLMs" 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 comment, author, likes, 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 "YouTube Comments Dataset for AI and LLMs" task via API.

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