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YouTube Testimonial and Social Proof Candidate Dataset

Collect positive public comments for permission and legal review. Returns public comments. Later tools perform the analysis.

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YouTube Comments Scraper — Replies & Authors
YouTube Comments Scraper — Replies & Authorschronometrica/youtube-comments-scraper
Input Position
Original Input
Platform
Canonical Video URL
+27 fields
Text
Number
Boolean
List
Object

Input

YouTube video URLs or IDs(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ
Max top-level comments per video:250
Comment order:both
Include replies:true
Max replies per top-level comment:20

Output fields

Input Position
Original Input
Platform
Canonical Video URL
Video ID
Comment ID
Parent Comment ID
Reply
Reply Depth
Collected Comment Position
Collected Reply Position
Comment Order
Comment Text
Published Time (Display)
Published At
Updated At
Likes
Likes (Display)
Likes Precision
Public Reply Count
Author Channel ID
Author Handle
Author
Author URL
Author Thumbnail
Edited
Pinned
Creator Heart
By Video Creator
Row Status
Collected At

How it works

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The YouTube Comments Scraper — Replies & Authors Actor is ready to run with the inputs already set for "YouTube Testimonial and Social Proof Candidate Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Testimonial and Social Proof Candidate Dataset" task

The YouTube Comments Scraper — Replies & Authors Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls or ids, max top-level comments per video, and more, to match your specific use case.

Receive the "YouTube Testimonial and Social Proof Candidate Dataset" 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 input position, original input, platform, 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 Testimonial and Social Proof Candidate Dataset" task via API.

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