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Extract comment intelligence from YouTube breakout videos
Created by
Rigel Bytes
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.
Social Media Content Outlier Finderrigelbytes/social-media-content-outlier
Platform
Creator
Community
Thumb
+16 fieldsTextNumberBooleanListObject
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?
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.
