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Detect LinkedIn Buying Signals from User Reactions

Reactions are the cheapest buying signal to read at scale. This task collects what your target accounts reacted to in the last month, so you can spot the moment several people at one company start engaging with the same problem. That clustering usually means an internal conversation is already underway, and the specific post gives you the opening line.

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LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅
LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅unseenuser/linkedin-user-comments-reactions
Reaction Type
Post Author
Post Author Title
Post Author Profile
+27 fields
Text
Number
Boolean
List
Object

Input

LinkedIn Profiles(required):https://www.linkedin.com/in/davegerhardt+1
What To Collect:reactions
Reactions Limit Per Profile (0 = all reactions):10
Time Period:month

Output fields

Reaction Type
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
Article Title
Article URL
Article Source
Video URL
Video Duration
Post Date
Post Age
Post Timestamp
Source Profile
Profile Input
Page
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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