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LinkedIn Post Text and Engagement Metrics Data

Extract text, publish time, likes, comments, reposts, and author fields from known public LinkedIn post URLs for content and engagement research.

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LinkedIn Post Scraper
LinkedIn Post Scraperchronometrica/linkedin-post-scraper
Input URL
Post URL
Activity ID
UGC Post ID
+13 fields
Text
Number
Boolean
List
Object

Input

Post URLs(required):https://www.linkedin.com/posts/timferriss_i-took-my-whole-genome-dumped-it-into-ai-activity-7333162625675038720-TJPX

Output fields

Input URL
Post URL
Activity ID
UGC Post ID
Post URN
Author
Author ID
Author URN
Headline
Post Text
Published At
Likes
Comments
Reposts
Status
Status Reason
Observed At

How it works

Sign up on Apify or log in

The LinkedIn Post Scraper Actor is ready to run with the inputs already set for "LinkedIn Post Text and Engagement Metrics Data". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LinkedIn Post Text and Engagement Metrics Data" task

The LinkedIn Post Scraper Actor will start running based on the input automatically. You can also change all the input fields, like post urls, to match your specific use case.

Receive the "LinkedIn Post Text and Engagement Metrics Data" 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 input url, post url, activity id, 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 "LinkedIn Post Text and Engagement Metrics Data" task via API.

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Integrate "LinkedIn Post Text and Engagement Metrics Data" into your workflow

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