Build public comment evidence for a briefing

Created by

Khadin Akbar

Actor

LinkedIn Profile Comments Scraper

Assemble source-linked public LinkedIn comments from selected posts so a team can cite audience reactions in a briefing or memo.

Try for free

LinkedIn Profile Comments Scraperkhadinakbar/linkedin-profile-comments-scraper

Record Type

Source Type

Source Profile Name

Commenter

+10 fields

Input

LinkedIn profile or post URLs(required)

url:https://www.linkedin.com/in/williamhgates/

Max posts per profile:2

Max comments per post:10

Max comments total (cost cap):20

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

Sign up on Apify or log in

The LinkedIn Profile Comments Scraper Actor is ready to run with the inputs already set for "Build public comment evidence for a briefing". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build public comment evidence for a briefing" 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 posts per profile, and more, to match your specific use case.

Receive the "Build public comment evidence for a briefing" 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 "Build public comment evidence for a briefing" task via API.