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Audit a LinkedIn Influencer's Engagement History

Follower counts say little about whether a creator is a credible partner. This task returns six months of a creator's own comments and reactions, so you can compare what they promote with what they actually engage with, and see which communities they are genuinely part of. Useful for vetting before a sponsorship, partnership or advisory conversation.

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LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅
LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅unseenuser/linkedin-user-comments-reactions
Action
Comment Text
Comment URL
Commenter
+41 fields
Text
Number
Boolean
List
Object

Input

LinkedIn Profiles(required):https://www.linkedin.com/in/garyvaynerchuk
What To Collect:both
Time Period:6months

Output fields

Action
Comment Text
Comment URL
Commenter
Commenter Title
Commenter Profile
Comment Reactions
Comment Replies
Comment Likes
Comment Appreciations
Comment Empathy
Comment Interest
Comment Praise
Comment Date
Comment Age
Comment Timestamp
Pinned
Post Author
Post Author Title
Post Author Profile
Post Text
Post URL
Post URN
Post Reactions
Post Comments
Post Reposts
Post Likes
Post Appreciations
Post Empathy
Post Interest
Post Praise
Post Date
Post Age
Source Profile
Page
Comment URN
Commenter First Name
Commenter Last Name
Commenter Photo
Post Timestamp
Post Images
Post Author First Name
Post Author Last Name
Post Author Position
Post Author Photo

How it works

Sign up on Apify01

Create your Apify account to access the LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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