Track Competitor LinkedIn Engagement and Activity

Created by

Unseen User

Actor

LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅

What a competitor's leadership engages with in public is a readable signal. This task tracks the comments and reactions of named executives over the last three months, showing which topics, partners and problems they keep returning to. Run it on a schedule to notice a strategic shift while it is still forming rather than after the announcement.

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LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅unseenuser/linkedin-user-comments-reactions

Type

Action

Comment

Source Profile

+15 fields

Input

LinkedIn Profiles(required):https://www.linkedin.com/in/satyanadella+1

What To Collect:both

Time Period:3months

Output fields

Type

Action

Comment

Source Profile

Post Author

Post Text

Post URL

Reactions

Comments

Posted

Page

Comment URL

Engaged Date

Engaged Age

Post Date

Post Author Title

Post Author Profile

Post URN

Reposts

How it works

Sign up on Apify or log in

The LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅ Actor is ready to run with the inputs already set for "Track Competitor LinkedIn Engagement and Activity". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track Competitor LinkedIn Engagement and Activity" task

The LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like linkedin profiles, what to collect, and more, to match your specific use case.

Receive the "Track Competitor LinkedIn Engagement and Activity" 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 type, action, comment, 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 "Track Competitor LinkedIn Engagement and Activity" task via API.