LinkedIn Comment Text Dataset for Sentiment Analysis
Created by
Chronometrica
Collect public LinkedIn comment text, author context, dates, and reaction counts as source rows for a separate sentiment model. No labels are created.
LinkedIn Comments Scraperchronometrica/linkedin-comments-scraper
Input URL
Input Type
Post URL
Post URN
+9 fieldsTextNumberBooleanListObject
Input
Post URLs(required):https://www.linkedin.com/posts/timferriss_how-to-become-dramatically-more-productive-activity-7386884213343428608-wrF3
Maximum comments:100
Remove the result limit:false
Include author details:false
Output fields
Input URL
Input Type
Post URL
Post URN
Activity ID
UGC Post ID
Comment ID
Comment URL
Author
Author Headline
Comment
Reactions
Published At
Sign up on Apify01
Create your Apify account to access the LinkedIn Comments Scraper.
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.
