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Export a LinkedIn discussion for qualitative research

Collect a small comment thread with replies and source links. Requires your LinkedIn session cookies.

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Linkedin Comment Scraper
Linkedin Comment Scrapercapable_cauldron/linkedin-comment-scraper
Commenter Name
Comment Text
Commenter Headline
Commenter Profile URL
+4 fields
Text
Number
Boolean
List
Object

Input

LinkedIn Post URLs(required):https://www.linkedin.com/posts/retentionadam_koala-shut-down-and-unify-raised-40m-at-activity-7354228611756810240-qVxd
LinkedIn Cookies(required):***
Max Comments Per Post:25
Max Dataset Items:25

Output fields

Commenter Name
Comment Text
Commenter Headline
Commenter Profile URL
Created At
Is Reply
Is Post Author
Post URL

How it works

Sign up on Apify or log in

The Linkedin Comment Scraper Actor is ready to run with the inputs already set for "Export a LinkedIn discussion for qualitative research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Export a LinkedIn discussion for qualitative research" task

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

Receive the "Export a LinkedIn discussion for qualitative research" 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 commenter name, comment text, commenter headline, 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 "Export a LinkedIn discussion for qualitative research" task via API.

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