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Scrape Linkedin Comments And Replies

Scrape Linkedin Comments And Replies. Ready-to-run linkedin post comments example with clean exportable dataset results.

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LinkedIn Post Comments Scraper & Engaged Leads
LinkedIn Post Comments Scraper & Engaged Leadschirpy_polygon/linkedin-post-comments-lead-scraper
Comment Text
Author Name
Author Headline
Author Url
+6 fields
Text
Number
Boolean
List
Object

Input

LinkedIn Post URLs(required):https://www.linkedin.com/posts/microsoft-events_microsoft-build-has-arrived-in-seattle-and-ugcPost-7329991434395160578-GnK7/
Maximum Comments per Post:50
Include Replies:true

Output fields

Comment Text
Author Name
Author Headline
Author Url
Posted At
Reaction Count
Like Count
Is Reply
Post Url
Comment Url

How it works

Sign up on Apify or log in

The LinkedIn Post Comments Scraper & Engaged Leads Actor is ready to run with the inputs already set for "Scrape Linkedin Comments And Replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Linkedin Comments And Replies" task

The LinkedIn Post Comments Scraper & Engaged Leads Actor will start running based on the input automatically. You can also change all the input fields, like linkedin post urls, maximum comments per post, and more, to match your specific use case.

Receive the "Scrape Linkedin Comments And Replies" 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 comment text, author name, author 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 "Scrape Linkedin Comments And Replies" task via API.

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Integrate "Scrape Linkedin Comments And Replies" into your workflow

Connect "Scrape Linkedin Comments And Replies" with 100+ integrations, or run it via API or MCP.

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