LinkedIn Comment Text Dataset for Sentiment Analysis

Collect public LinkedIn comment text, author context, dates, and reaction counts as source rows for a separate sentiment model. No labels are created.

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LinkedIn Comments Scraper
LinkedIn Comments Scraperchronometrica/linkedin-comments-scraper
Input URL
Input Type
Post URL
Post URN
+9 fields
Text
Number
Boolean
List
Object

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

How it works

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.

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