Collect a comment corpus from profile posts

Created by

Khadin Akbar

Actor

LinkedIn Profile Comments Scraper

Collect commenter rows from recent public profile posts to build a qualitative dataset for audience research, message testing, or thematic analysis.

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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:4

Max comments per post:10

Max comments total (cost cap):10

Output mode:comments

Dedupe comments:true

Include raw provider data:false

Max concurrency:2

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

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

Start the "Collect a comment corpus from profile posts" 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 "Collect a comment corpus from profile posts" 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 "Collect a comment corpus from profile posts" task via API.