Review launch feedback from article comments
Created by
Khadin Akbar
Capture early public feedback from commenters on a LinkedIn article or post announcing a launch, event, or milestone.
LinkedIn Profile Comments Scraperkhadinakbar/linkedin-profile-comments-scraper
Record Type
Source Type
Source Profile Name
Commenter
+10 fieldsTextNumberBooleanListObject
Input
LinkedIn profile or post URLs(required)
url:https://www.linkedin.com/pulse/being-father-has-made-me-better-leader-vice-versa-austen-allred/
Max comments per post:25
Max comments total (cost cap):25
Output mode:comments
Dedupe comments:true
Include raw provider data:false
Max concurrency:1
Output fields
Record Type
Source Type
Source Profile Name
Commenter
Commenter Headline
Commenter Profile URL
Comment Text
Comment Reactions
Replies
Post URL
Post Author
Post Published
Provider
Scraped At
Sign up on Apify01
Create your Apify account to access the LinkedIn Profile 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.
