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Analyze YouTube comments for sentiment

Ready-to-run configuration of youtube comments scraper. Change the fields and run it β€” results appear as a table you can export.

Try for free
YouTube Comments Scraper: $0.50 per 1K, No API Quota
YouTube Comments Scraper: $0.50 per 1K, No API Quotatindacloud/youtube-comments-scraper
Author name
Text
Like count
Reply count
+3 fields
Text
Number
Boolean
List
Object

Input

YouTube videos(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ
Include replies:true
Max comments per video:300

Output fields

Author name
Text
Like count
Reply count
Published time text
Is reply
Video title

How it works

Sign up on Apify or log in

The YouTube Comments Scraper: $0.50 per 1K, No API Quota Actor is ready to run with the inputs already set for "Analyze YouTube comments for sentiment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze YouTube comments for sentiment" task

The YouTube Comments Scraper: $0.50 per 1K, No API Quota Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos, include replies, and more, to match your specific use case.

Receive the "Analyze YouTube comments for sentiment" 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 author name, text, like count, 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 YouTube comments for sentiment" task via API.

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