Build a LinkedIn Thought-Leadership Dataset

Created by

Thirdwatch

Actor

LinkedIn Post Scraper - Post URLs & Company Page Posts

Scrape public LinkedIn posts into a clean corpus: text, author, timestamp, reactions, comments and media per post. Assemble B2B thought-leadership datasets for

Try for free

LinkedIn Post Scraper - Post URLs & Company Page Poststhirdwatch/linkedin-post-scraper

URL

Author

Headline

Text

+8 fields

Input

Post URLs:https://www.linkedin.com/posts/williamhgates_ill-never-forget-typing-this-letter-to-my-activity-7288306552338362369-ZEgW+2

Max Posts:10

Proxy Configuration:{2 fields}

Output fields

URL

Author

Headline

Text

Posted

Reactions

Comments

Reposts

Company

Repost

Reposted By

Original Post

How it works

Sign up on Apify or log in

The LinkedIn Post Scraper - Post URLs & Company Page Posts Actor is ready to run with the inputs already set for "Build a LinkedIn Thought-Leadership Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a LinkedIn Thought-Leadership Dataset" task

The LinkedIn Post Scraper - Post URLs & Company Page Posts Actor will start running based on the input automatically. You can also change all the input fields, like post urls, max posts, and more, to match your specific use case.

Receive the "Build a LinkedIn Thought-Leadership Dataset" 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 URL, 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 "Build a LinkedIn Thought-Leadership Dataset" task via API.