Extract reactions from LinkedIn posts and comments, providing likes and appreciations
Sample
Here's a sample run of reactions on real LinkedIn posts — reactor, headline, and reaction type — showing the exact schema and results you can expect.
| # | Reactor Name | Reactor URL | Reactor Headline | Reactor Photo | Reactor Location | Reaction Type | Post URL |
|---|---|---|---|---|---|---|---|
1 | Inriver | 15,661 followers | — | EMPATHY | |||
2 | Kit Yu | Hong Kong | — | Hong Kong SAR | LIKE | ||
3 | Patrick Fontana | Cloud & AI Specialist @ Microsoft | Tech Enthusiast |Our mission is to empower every citizen and organization to serve and achieve more! We do our best to fulfill our mission more is not possible, less is not decent | Bern, Berne, Switzerland | EMPATHY | |||
4 | Ana Turner | StratusOn AI | Simi Valley, California, United States | PRAISE | |||
5 | Bhanu Vemuri | Principal Business Architect at Blue Cross NC | — | Raleigh-Durham-Chapel Hill Area | INTEREST | ||
6 | Jenny Wen | Accountant at The Travel Corporation Canada | — | Toronto, Ontario, Canada | LIKE | ||
7 | Johana Guerr | Project Operations Director at Sunnova Energy International | United States | LIKE | |||
8 | Abigail Hartle | Renewable Energy Project Operations Director | Utility-Scale Solar & Distributed Energy | EPC Execution | Construction & Project Delivery | United States | LIKE | |||
9 | Esteban Franco Alvarez | Renewable Energy Project Operations Leader | Solar & Energy Storage | EPC Execution | Utility-Scale Construction | Project Delivery & Commissioning | United States | LIKE | |||
10 | Si Yeon Kim | Government Sr. Account Executive at Microsoft | — | Seoul, Seoul, South Korea | PRAISE |
Playground
Advanced parameters are collapsed below.
curl -X POST https://api.mindcase.co/api/v1/agents/linkedin/post-reactions/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"posts": [],
"maxResults": 10000,
"reactionTypeFilter": []
}
}'Overview
LinkedIn Post Reactions extracts engagement data from specific posts or comments to identify who is interacting with content. It returns the reactor name, their professional title, the specific reaction type such as like or insightful, and the reactor profile URL. This data allows for granular analysis of engagement beyond simple counts.
Growth engineers use LinkedIn Post Reactions to build lead lists from competitor announcements. Sales development representatives use it to find active prospects who are engaging with specific industry influencers or viral topics.
Cost
$2.00 per 1,000 reactions. Each individual reaction returned from a post or comment counts as one billable row. The total count scales based on the number of posts provided and the maximum results limit set for each. Failed runs don't count.
Cost calculator
Examples
A few common ways teams put LinkedIn Post Reactions to work — copy a prompt below to try it yourself.
Identify every person who reacted to a specific industry announcement to build a targeted outreach list.
Compare who is interacting with updates from different companies to find overlapping audiences.
Extract reactors from event announcement posts to see which job titles are showing interest in specific conferences.
Focus on specific reaction counts to manage credit usage while capturing the most recent engagement.
Get started
Sign up to run live queries against LinkedIn Post Reactions via chat, form, or API.
FAQ
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