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Extract comment intelligence from YouTube breakout videos

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 Finder
Social Media Content Outlier Finderrigelbytes/social-media-content-outlier
Platform
Creator
Community
Thumb
+16 fields
Text
Number
Boolean
List
Object

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
Shares
Baseline Views
View Outlier
Overall Outlier
Classification
Topic
Hook
Outlier?

How it works

Sign up on Apify01

Create your Apify account to access the Social Media Content Outlier Finder.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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