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Analyze comments on one LinkedIn post

Collect comment rows from a single LinkedIn post or Pulse article to review audience reactions, discussion themes, and commenter details.

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LinkedIn Profile Comments Scraper
LinkedIn Profile Comments Scraperkhadinakbar/linkedin-profile-comments-scraper
Record Type
Source Type
Source Profile Name
Commenter
+10 fields
Text
Number
Boolean
List
Object

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:10
Max comments total (cost cap):10
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

How it works

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The LinkedIn Profile Comments Scraper Actor is ready to run with the inputs already set for "Analyze comments on one LinkedIn post". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze comments on one LinkedIn post" task

The LinkedIn Profile Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like linkedin profile or post urls, max comments per post, and more, to match your specific use case.

Receive the "Analyze comments on one LinkedIn post" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, source type, source profile name, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Analyze comments on one LinkedIn post" task via API.

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