Extract comment intelligence from YouTube breakout videos

Created by

Rigel Bytes

Actor

Social Media Content Outlier Finder

Extract comment intelligence on a competitor's breakout videos. This task scans the MKBHD channel for outliers, then enriches each winner with up to 20 top comments to surface audience themes alongside title, views, likes, and outlier score. Runs with enableYouTubeComments true. $10 per 1,000 dataset items; comments billed separately.

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Social Media Content Outlier Finderrigelbytes/social-media-content-outlier

Platform

Creator

Community

Thumb

+16 fields

Input

Enable YouTube:true

YouTube Channel URLs:https://www.youtube.com/@mkbhd

Enable YouTube Comment Scraper:true

Max YouTube Comments (per run budget):20

Max Output Items:50

Output fields

Platform

Creator

Community

Thumb

URL

Content

Title

Caption

Published

Views

Likes

Comments

Baseline Views

View Outlier

Overall Outlier

Classification

Topic

Hook

Outlier?

How it works

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The Social Media Content Outlier Finder Actor is ready to run with the inputs already set for "Extract comment intelligence from YouTube breakout videos". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract comment intelligence from YouTube breakout videos" task

The Social Media Content Outlier Finder Actor will start running based on the input automatically. You can also change all the input fields, like enable youtube, youtube channel urls, and more, to match your specific use case.

Receive the "Extract comment intelligence from YouTube breakout videos" 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 platform, creator, community, and more.