Detect LinkedIn Buying Signals from User Reactions

Created by

Unseen User

Actor

LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅

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] ✅unseenuser/linkedin-user-comments-reactions

Type

Reaction Type

Post Author

Post Author Title

+31 fields

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

Type

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

Reacted Date

Reacted Age

Reacted Timestamp

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 "Detect LinkedIn Buying Signals from User Reactions". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect LinkedIn Buying Signals from User Reactions" 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 "Detect LinkedIn Buying Signals from User Reactions" 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, reaction type, post author, 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 "Detect LinkedIn Buying Signals from User Reactions" task via API.