All APIs
0.2¢ per reaction19 datapoints
LinkedIn Profile Reactions API
Monitor public LinkedIn profiles for reactions, along with full post details and social activities
Sample
Sample data
Here's a sample run of posts reacted to by several LinkedIn profiles — reaction type plus full post context — showing the exact schema and results you can expect.
| # | Reaction | Reactor URL | Reactor Profile ID | Reacted At | Post URL | Post ID | Post Text | Post Author | Post Author URL | Post Author Profile ID | Post Author Handle | Post Author Type | Post Author Headline | Post Date | Post Media URL | Post Media Type | Post Reactions | Post Comments | Post Shares |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-30T00:32:22.573Z | 7488391002500657154 | — | Mustafa Suleyman | ACoAAA9eyYUBh9JQIB19tmDanxKjRK9p8Nw4FrY | mustafa-suleyman | profile | CEO, Microsoft AI | 2026-07-30T00:32:22.573Z | — | — | 1,156 | 52 | 102 | |||
2 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-23T21:49:47.851Z | 7486175761037488129 | Building great AI for productivity isn't just about having the largest model. It's about having choices in models and a system that knows the right model for the task at hand.
We've partnered with the MAI team to post-train MAI-Code-1-Flash to handle the most common Excel Copilot tasks we see customers do every day. We have a rich set of benchmarks designed around real work, not synthetic demos, and cover deep domain tasks in areas like finance and accounting. Our evals show that the MAI model performs at the same level as GPT-5.6 for the most common tasks, while operating at lower cost.
This smaller, more efficient model can be served on both Nvidia H100 and A100 class GPUs rather than requiring only the latest-generation accelerators, significantly lowering the cost of deployment for Microsoft.
This is the result of bringing together model research, routing, evaluation, and product engineering, optimizing the entire system rather than any single component.
Read more: https://lnkd.in/gWhUbnAa | Sumit Chauhan | ACoAAAV6cUcBACZv3k1mBjinEZnfKURquvyhpcA | sumit-chauhan-b1b94426 | profile | EVP, Office Product Group, Microsoft | 2026-07-23T21:49:47.851Z | IMAGE | 216 | 24 | 19 | ||||
3 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-09T18:33:18.382Z | 7481052882302160896 | Some of the most impactful AI innovation happens when we partner with leading customers to solve real problems at scale for their industry.
Commonwealth Bank, Australia’s largest bank, is a great example. They partnered with Microsoft to rethink customer engagement and co-create an omnichannel contact center platform. Together, our engineering teams worked side by side to build a platform that separates intelligence from channels, using Copilot Studio, Microsoft Foundry, and Dynamics 365. The agent interprets each customer's intent and routes it to the right responder, which could be an AI agent or a human specialist.
Now, the platform handles more than 2 million conversations a month, with 84.6% of self-service messaging resolved end to end.
This was an incredible collaboration and I’m excited to see where CommBank takes it next! Read the full story here: https://aka.ms/commbank | Charles Lamanna | ACoAAAHlijIBydUn0kdExcSMOY25MBj0wIhxegU | charleslamanna | profile | EVP, Copilot, Agents and Platform at Microsoft | 2026-07-09T18:33:18.382Z | IMAGE | 584 | 14 | 74 | ||||
4 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-12T00:13:45.784Z | 7481863336767188992 | To coincide with the #A250, Microsoft unveiled an AI experience that lets visitors have a conversation with U.S. President Theodore Roosevelt at the new Theodore Roosevelt Presidential Library. And who better to put our avatar to the test than American historian Doris Kearns Goodwin?
The result was a conversation across time. Powered by Microsoft technology and built on Roosevelt’s writings, speeches, letters, and historical records, this experience shows how technology can make archives more accessible, scholarship more dynamic, and history more engaging for a new generation. | Brad Smith | ACoAAAFqmHMBRvI7O6GyhdtaXPyuHZSa4aQUEnw | bradsmi | profile | Vice Chair and President at Microsoft Corporation | 2026-07-12T00:13:45.784Z | VIDEO | 1,832 | 140 | 183 | ||||
5 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-28T16:57:01.630Z | 7487914022294630400 | Throughout this past fiscal year, customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. We saw the emergence of Frontier Firms as organizations moved beyond efficiency gains to focus on human ambition and embed AI at the core of how they operate, unlocking innovation and creating new opportunities for growth. Successful customers are building an intelligence platform so their unique IQ — their knowledge, data, workflows, applications, and expertise — can continuously compound, ensuring the value of AI accrues to the customer, not the model. They also have a trust platform that is pervasive, with the ability to manage, govern, secure, and measure AI across every business process.
Everything we are doing at Microsoft is focused on empowering Frontier Transformation. Copilot enables AI in the flow of human ambition, Microsoft IQ amplifies and protects an organization’s IQ, and Agent 365 is the trust platform that enables observability at every layer of the stack.
Businesses are not static, and neither are the AI systems that support them. As organizations evolve, AI systems must continuously learn and improve. Agentic workflows need to be built, observed, and tuned against the outcomes organizations seek and the ROI they demand. Microsoft’s open, model-diverse, and heterogenous platform powers that improvement loop.
Looking back on FY26, I am inspired by what our customers are achieving: embedding AI into core business processes, building agentic systems, strengthening security, accelerating innovation, and creating new sources of value. I invite you to read my latest earnings blog to learn how they are bringing Frontier Transformation to life, demonstrating how intelligence, trust, and human ambition come together across industries. aka.ms/FY26Q4Blog | Judson Althoff | ACoAAAFJLZwBzRXupAjfllXxLKCQnZyfnkuRDz8 | judsonalthoff | profile | CEO, Microsoft Commercial Business | 2026-07-28T16:57:01.630Z | DOCUMENT | 1,452 | 71 | 147 | ||||
6 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-07-02T22:31:05.276Z | 7478576006933422080 | Today we are introducing Microsoft Frontier Company, a new operating business focused on delivering Frontier Transformation through AI for customers around the world.
Microsoft Frontier Company brings together a unique combination of deep industry knowledge, change management and continuous improvement experience, and enterprise-grade AI engineering expertise to help customers move from AI experimentation to measurable business outcomes.
We're making a $2.5B investment and embedding 6,000 industry and engineering experts alongside customers to co-design, deploy, and continuously improve AI systems at scale. This goes beyond traditional forward-deployed engineering models, creating what we believe will be the industry's largest and most capable outcome-driven AI engineering organization.
Click to read more: https://lnkd.in/eVJSCKNf | Judson Althoff | ACoAAAFJLZwBzRXupAjfllXxLKCQnZyfnkuRDz8 | judsonalthoff | profile | CEO, Microsoft Commercial Business | 2026-07-02T22:31:05.276Z | VIDEO | 4,764 | 158 | 606 | ||||
7 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-06-24T20:11:42.609Z | 7475641828441079808 | Medical diagnostic yields can be improved by reanalyzing genomic data in rare disease cases. But normally this is a very burdensome manual process. Today in Nature Medicine, we present Talos, an open-source tool that in iterative monthly reanalysis reduces the burden to 1 variant per 200 cases. For example, applying this to a cohort of 4,735 undiagnosed individuals resulted in 241 diagnoses. https://lnkd.in/gPkKRiam | Peter Lee | ACoAAACmET4Bd_wNRJpYIpEc-8XxY2kOR5Cz0BM | peterlee4 | profile | President, Microsoft Science | 2026-06-24T20:11:42.609Z | IMAGE | 319 | 41 | 21 | ||||
8 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-06-16T18:50:53.248Z | 7472722385821978624 | Agriculture has always depended on clouds. Today, not all of them are in the sky.
Built on Microsoft Azure, the İmeceMobil app is helping farmers across Türkiye make smarter, data-driven decisions. By combining AI-powered insights, satellite imagery, hyper-local weather forecasts, and marketplace tools in one platform, İmeceMobil is helping farmers save time, reduce costs, and improve productivity.
Read more here: https://msft.it/6003vYTtd | Microsoft | 1035 | — | company | — | 2026-06-16T18:50:53.248Z | VIDEO | 421 | 20 | 74 | ||||
9 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-06-16T18:50:41.808Z | 7472722337839128577 | My conversations with customers today are less about whether to adopt AI and more focused on how to apply it in a way that creates business growth. AI should amplify the unique intelligence of an organization so value compounds over time, while also providing the visibility and control needed to ensure ROI.
In my latest blog, I share how we are thinking about this at Microsoft—from a model-diverse approach to a control plane that helps organizations manage AI as it scales across the enterprise. Microsoft IQ brings context to data and embeds AI directly into the flow of work, while Agent 365 provides the trust layer to observe, govern, and secure agents and AI artifacts across the environment.
We have built this system to help our customers and partners move decisively from experimentation to real outcomes with confidence—scaling human ambition and driving measurable results with AI across every role, organization, and industry.
To read more, visit https://lnkd.in/gxH6d26R | Judson Althoff | ACoAAAFJLZwBzRXupAjfllXxLKCQnZyfnkuRDz8 | judsonalthoff | profile | CEO, Microsoft Commercial Business | 2026-06-16T18:50:41.808Z | IMAGE | 1,310 | 80 | 243 | ||||
10 | Satya Nadella likes this | ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ | 2026-06-23T17:18:34.332Z | 7475235868983603200 | I had a chance to put down some thoughts on how AI is changing the way cloud systems behave. Spoiler alert: It's not just about coding agents adding yet more features, it's about understanding the complexity of these cloud native systems we have built over the last decade and continue to expand.
Reliability, security and quality, these matter more than any one feature and the complexity of understanding our interconnected infrastructure and services keep growing. Systems are more connected than ever and often the details of those connections are less understood. Loosely coupled systems are way more reliable, and sadly also harder to debug when something goes wrong. New research shows that 84% of organizations report rising cloud complexity, and for 69% of them, it’s already outpacing their operating model.
AI can do more than just write code. We’ve been working on an agent to help with operations also, and today, we’re announcing the GA of the Azure Copilot Observability Agent. It pulls together signals across logs, metrics, traces, and infrastructure so you can follow what’s happening. It makes it faster to get from “something broke” to “here’s why” and “here’s what to do next. Leveraging the intelligence of the cloud and the experience of delivering reliable services at scale, it democratizes insights and makes continuous improvement easier than ever. Agentic operations means faster time to understand, time to mitigate and time to root cause for everyone.
Proud of the work behind this, and excited to hear from customers on how they are using it to improve workflows.
https://lnkd.in/gHEmzpiF | Brendan Burns | ACoAABNiBmcB4Ebxim2tgom71rMA7rX1MRgkEIA | brendan-burns-487aa590 | profile | Corporate Vice President and Technical Fellow at Microsoft | 2026-06-23T17:18:34.332Z | IMAGE | 308 | 14 | 54 |
Playground
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Input Form
Fill in the fields below or .
0.2¢ per reaction
No row cap set
Output limits
live
curl -X POST https://api.mindcase.co/v1/data/linkedin/profile-reactions/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"profiles": "",
"postedLimit": ""
}
}'Edit the form to update this live.
Overview
About LinkedIn Profile Reactions API
LinkedIn Profile Reactions extracts engagement data from public profiles to reveal who is interacting with specific posts. It returns structured data including the reactor name, the specific reaction type, reaction timestamp, post text, and post author details.
Growth engineers use LinkedIn Profile Reactions to map social graphs and identify active prospects. Sales teams use it to track who is engaging with competitor content or industry thought leaders to build high-intent lead lists.
Real-time dataSelf-servePay per resultZero setup time
Examples
Use cases
A few common ways teams put LinkedIn Profile Reactions API to work — copy a prompt below to try it yourself.
Lead generation tracking
Monitor who reacts to specific industry influencers to build targeted outreach lists based on recent social activity.
Get the latest 50 reactions from Satya Nadella's LinkedIn profile
Competitor audience mapping
Compare engagement across multiple executive profiles to identify shared followers and active community members.
Pull reactions for Reid Hoffman, Marc Benioff, and Brian Chesky
Engagement trend analysis
Analyze the types of reactions received on recent posts to gauge sentiment and audience composition.
Find the last 200 reactions from Bill Gates' LinkedIn
High-intent signal detection
Filter for specific reaction counts to find the most active users engaging with a profile over a set period.
Get 100 reactions from Mary Barra's profile
Get started
Ready to pull reactions?
Sign up to run live queries against LinkedIn Profile Reactions API via chat, form, or API.
FAQ
Frequently asked questions
- Does this include comments?
- No, LinkedIn Profile Reactions focuses on likes and other reactions. Use the LinkedIn Post Comments agent if you need to extract text-based replies and comment threads.
- How fresh is the data?
- Data is fetched live on every run. LinkedIn Profile Reactions does not use a cache, ensuring you see the most recent engagement available on the profile.
- Can I pull reactions from multiple profiles in one run?
- Yes, you can pass an array of multiple profile names. LinkedIn Profile Reactions will process each profile and return the combined reaction data in a single dataset.
- How do I integrate with Zapier, n8n, Google Sheets, or Airtable?
- LinkedIn Profile Reactions returns clean JSON and CSV output. Both formats work with every workflow tool. Pipe them in via a webhook step, file download, or by hitting the REST endpoint on a schedule. Same for Slack notifications, Notion databases, and other downstream systems.
- What fields are returned?
- Per reaction: the reactor (name + profile URL), the reaction type, whether it was on a post or a comment, and when it happened; plus full context of the post — URL, text, author (name, URL, type, headline), true publish date, and its reactions/comments/shares.
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