Export YouTube Comments for Sentiment Analysis

Created by

Apizy

Actor

YouTube Comment Scraper [FAST] | Likes, Replies & Authors

Collect top-ranked comments from a public YouTube video and export clean text with authors, dates, likes, and reply counts. This example uses a tested MKBHD video. Feed the dataset into your own sentiment analysis or audience feedback workflow.

Try for free

YouTube Comment Scraper [FAST] | Likes, Replies & Authorsapizy/youtube-comment-scraper

Comment id

Text

Author name

Author

+11 fields

Input

Video URL(required):https://www.youtube.com/watch?v=ESABTN4VtrA

Max Comments:10

Sort By:top

Output fields

Comment id

Text

Author name

Author

Avatar

Published at

Published at raw

Likes

Replies

Has Replies

Is reply

Parent comment id

Pinned

Edited

Video id

How it works

Sign up on Apify or log in

The YouTube Comment Scraper [FAST] | Likes, Replies & Authors Actor is ready to run with the inputs already set for "Export YouTube Comments for Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Export YouTube Comments for Sentiment Analysis" task

The YouTube Comment Scraper [FAST] | Likes, Replies & Authors Actor will start running based on the input automatically. You can also change all the input fields, like video url, max comments, and more, to match your specific use case.

Receive the "Export YouTube Comments for Sentiment Analysis" 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 id, text, author name, 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 "Export YouTube Comments for Sentiment Analysis" task via API.