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YouTube audience voice corpus

Collect comment text with author, video, likes, replies, pin and date context intact.

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YouTube Comment Scraper
YouTube Comment Scraperreapx/youtube-comment-scraper
What I found
Comment text
Pinned label
Comment text alias
+8 fields
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://www.youtube.com/watch?v=dQw4w9WgXcQ
How many results?:3
Include replies?:true

Output fields

What I found
Comment text
Pinned label
Comment text alias
Comment ID
Parent comment ID
Likes as YouTube shows them
Parsed like count
Exact like count
Reply count
Exact reply count
Liked by creator

How it works

Sign up on Apify or log in

The YouTube Comment Scraper Actor is ready to run with the inputs already set for "YouTube audience voice corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube audience voice corpus" task

The YouTube Comment Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls?, how many results?, and more, to match your specific use case.

Receive the "YouTube audience voice corpus" 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 what i found, comment text, pinned label, 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 audience voice corpus" task via API.

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