Extract LinkedIn profile comments and their social activities like likes and reactions, requiring no input
Sample
Here's a sample run of comments made by several LinkedIn profiles, including the post each comment was on, showing the exact schema and results you can expect.
| # | Comment | Comment URL | Commented At | Edited | Is Reply | Mentions | Comment Reactions | Comment Replies | Commenter Name | Commenter URL | Commenter Photo | Commenter Headline | On Own Post | Post URL | Post Text | Post Author | Post Author URL | Post Author Type | Post Author Headline | Post Date | Post Media URL | Post Media Type | Post Reactions | Post Comments | Post Shares |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Glad you had such a great experience at Build, Tom Shaw 🤖! Good seeing you again, and let us know what you think of the new app! | 2026-06-05T01:10:01.473Z | false | false | 3 | Satya Nadella | Chairman and CEO at Microsoft | false | I’ve said it before and I’ll say it again. If you’re getting into tech, conferences are the best way to dedicate time to learning. 🧠
I just wrapped up my second Microsoft Build in a row, and it was even more fun than last time! 🚀
Attending a conference forces you to engage with information, and the best part is, its all there on a silver platter for you.
Keynotes, breakout sessions, activities and networking opportunities. All of which will give you extreme imposter syndrome, but in this case, that’s not a bad thing.
As for my experience this year… there were some awesome announcements, exciting conversations and an exciting surprise from a popular music artist.
This year’s keynote was full of annoucnements, but the most ones that stood out the most to me were around the launch of the new GitHub Copilot app.
Satya actually mentioned that its interesting to see how the IDE/code editor market has changed over such a short space of time.
I also had the opportunity to chat with Satya Nadella again and be a part of a group roundtable with a bunch of other creators and product experts to discuss the latest announcements and what they mean for developers.
Finally I had the chance to sit down with Sarah Bird, Chief Product Officer for Responsible AI at Microsoft, where we spent over 30 minutes discussing the different responsibilities that Governments, AI providers and AI customers have when using AI tools throughout their work and personal lives.
Thank you to everyone at Microsoft and GitHub for putting on such a fantastic event this year! Looking forward to the next one! | Tom Shaw 🤖 | profile | The “F1 Programmer Tech Guy” - their words, not mine 🏎️👨💻 | 2026-06-04T15:16:02.177Z | IMAGE | 795 | 33 | 11 | ||||||||
2 | Learn more:
https://techcommunity.microsoft.com/blog/microsoft365copilotblog/copilot-in-word-new-capabilities-for-document-workflows/4508974 | 2026-04-14T18:08:05.591Z | true | false | — | 8 | Satya Nadella | Chairman and CEO at Microsoft | true | New in Word: Copilot now tracks changes, leaves comments, and more, working more like a coworker right inside your document, grounded in all your enterprise context with Work IQ. | Satya Nadella | profile | Chairman and CEO at Microsoft | 2026-04-14T18:07:19.752Z | VIDEO | 5,962 | 361 | 524 | |||||||
3 | Cricket and GitHub Copilot CLI: two of my favorite things! Super fun use case. | 2026-04-14T03:56:10.882Z | false | false | — | 7 | Satya Nadella | Chairman and CEO at Microsoft | false | GitHub Copilot CLI allows for quick creation of that app you always wanted to have.
Christopher Harrison wanted a cricket scoring app, so he explained things to Copilot, and in under 30 it was built.
/plan to scope
/autopilot to build
/fleet to scale | Microsoft Developer | company | 469,197 followers | 2026-04-13T19:13:07.146Z | VIDEO | 1,032 | 56 | 98 | |||||||
4 | Looking forward to it, Rishi. Excited for a super conversation on AI diffusion and what it means for people and organizations everywhere. | 2026-01-17T16:41:29.742Z | false | false | 6 | Satya Nadella | Chairman and CEO at Microsoft | false | Happy to share that I’ll be joining Satya Nadella for a LinkedIn Live next week to discuss what comes next for AI.
Premium subscribers can click “Attend” below to get notified when we start and send any questions you’d like us to cover. | Rishi Sunak | profile | MP for Richmond and Northallerton. Former Prime Minister of the United Kingdom. | 2026-01-16T09:05:25.332Z | — | — | 973 | 51 | 35 | |||||||
5 | Full episode: https://www.youtube.com/watch?v=BKx0Dp8y-6g | 2026-06-05T14:20:24.517Z | false | false | 2 | Reid Hoffman | Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. | true | Excited to sit down with my friend Satya Nadella to talk about AI, the future of humanity, and going back into founder mode to cure cancer. | Reid Hoffman | profile | Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. | 2026-06-05T14:13:37.860Z | VIDEO | 1,031 | 102 | 51 | ||||||||
6 | One of the lessons of silicon valley is having as many strong companies as you can, built strong and to scale. These companie create the ecosystem. Talent joins, learns, and then spins out to create other companies. Talent knows each other, so they build a network. Venture pays attention to scale companies, and invests in more people from scale companies. Executive talent to scale learns. This is a strong move for the UK. | 2026-05-12T14:57:49.012Z | true | false | — | 2 | Reid Hoffman | Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. | false | A country's long-term position in AI will not be decided by who wins this week's argument.
It will be decided by who builds this decade's companies.
Today the UK Sovereign AI Fund is investing in one of them.
We are proud to back Isomorphic Labs, the London-headquartered, DeepMind-born AI drug design company led by Sir Demis Hassabis and Max Jaderberg.
Our investment is part of Isomorphic's $2.1B Series B led by Thrive Capital, alongside Alphabet, GV (Google Ventures) Tom Hulme, MGX, Temasek and CapitalG.
A British-built company committed to solving humanity's hardest problems - here.
This is what we were built for. | Joséphine Kant | profile | Head of Ventures, Sovereign AI | 2026-05-12T13:53:52.941Z | IMAGE | 617 | 6 | 7 | |||||||
7 | Fascinating! | 2026-05-05T09:00:37.060Z | false | false | — | — | 0 | Reid Hoffman | Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. | false | New Study on AI Reasoning in Clinical Medicine
In 1959, Robert Ledley and Lee Lusted published a prescient article in Science, “Reasoning Foundations of Medical Diagnosis.” The article can be read as a long-term charge to the medical informatics and AI communities: to build systems that could support clinical decision-making. (See: https://lnkd.in/eNbyKMB3)
Today, we’re sharing new research, also published in Science, that I see as an important step toward that long-standing vision—65 years later.
In the paper, we study the capabilities of real-time "thinking" models in clinical medicine. Rather than focusing only on clean, curated educational benchmarks, the evaluations include messy, unstructured clinical data drawn directly from real-world emergency department records.
We evaluated o1-preview, the first real-time reasoning model, on a range of clinical challenges starting in 2024. Energized by the powers we were seeing early on (see: “Medprompt to o1,” https://lnkd.in/gk67YXft) with o1 preview, we reached out to colleagues soon after to collaborate on the potential capabilities of the test-time reasoning for clinical challenges.
These studies compare the model against physician baselines on complex diagnostic reasoning, patient management, and probabilistic inference challenges. Overall, the model performed at or above physician baselines across the tasks studied.
For the emergency department cases, we examined three different points in the care journey: initial ER triage, ED physician evaluation, and admission to the hospital or ICU. At initial triage, the model identified the exact or very close diagnosis in 67.1% of cases, compared with 55.3% and 50.0% for two clinical experts. The gap was most pronounced at the earliest point of care, where information is most limited and decisions are especially high-stakes.
Taken together, the findings point to a major opportunity for AI tools to support medicine: reducing diagnostic error and delay, improving access, and helping clinicians reason through complex cases. At the same time, they underscore the urgent need for prospective trials, careful clinician-AI workflow design, robust monitoring, and safety-focused implementation.
Grateful to the many fabulous co-authors and colleagues who made this collaboration possible, from our first explorations during the earliest days of o1-preview to today’s publication. The field is moving quickly, with newer models already showing even more advanced capabilities. More studies to come.
Here is the paper: https://lnkd.in/ge33advD
Beth Israel Deaconess Medical Center Harvard Medical School Department of Biomedical Informatics Stanford Biomedical Data Science Program Adam Rodman Peter Brodeur, Thomas Buckley Arjun Manrai Jonathan H. Chen Ethan Goh, MD Microsoft Research | Eric Horvitz | profile | Chief Scientific Officer of Microsoft | 2026-04-30T18:06:38.402Z | IMAGE | 192 | 19 | 34 | ||||||
8 | Ariel Ekblaw is a force for good and a generational talent. | 2026-04-30T12:01:37.081Z | false | false | 0 | Reid Hoffman | Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. | false | I had a terrific time talking to Ariel Ekblaw for the first episode of the new season of The Most Interesting Thing in AI. Ariel is a space architect—one of the coolest job titles I’ve heard—and an expert on a controversial idea in tech right now: AI data centers in space. We talked through how realistic it actually is, and got into lots of other topics, including what it will take to construct habitats in orbit and how soon humans might live on Mars.
You can watch the full interview here: https://lnkd.in/gVqEkHcM
Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC. | Nicholas Thompson | profile | CEO @ The Atlantic | Co-Founder, Keynote Speaker | Author of the national best-seller, “The Running Ground.” | 2026-04-22T20:41:24.063Z | IMAGE | 253 | 10 | 7 | ||||||||
9 | Insane! | 2026-06-04T19:29:48.477Z | false | false | — | 1 | Minisha Goel | Founder@ MindShift AI | AI Training & Enablement for Enterprises Teams I Content Creator & Speaker | false | I’ve said it before and I’ll say it again. If you’re getting into tech, conferences are the best way to dedicate time to learning. 🧠
I just wrapped up my second Microsoft Build in a row, and it was even more fun than last time! 🚀
Attending a conference forces you to engage with information, and the best part is, its all there on a silver platter for you.
Keynotes, breakout sessions, activities and networking opportunities. All of which will give you extreme imposter syndrome, but in this case, that’s not a bad thing.
As for my experience this year… there were some awesome announcements, exciting conversations and an exciting surprise from a popular music artist.
This year’s keynote was full of annoucnements, but the most ones that stood out the most to me were around the launch of the new GitHub Copilot app.
Satya actually mentioned that its interesting to see how the IDE/code editor market has changed over such a short space of time.
I also had the opportunity to chat with Satya Nadella again and be a part of a group roundtable with a bunch of other creators and product experts to discuss the latest announcements and what they mean for developers.
Finally I had the chance to sit down with Sarah Bird, Chief Product Officer for Responsible AI at Microsoft, where we spent over 30 minutes discussing the different responsibilities that Governments, AI providers and AI customers have when using AI tools throughout their work and personal lives.
Thank you to everyone at Microsoft and GitHub for putting on such a fantastic event this year! Looking forward to the next one! | Tom Shaw 🤖 | profile | The “F1 Programmer Tech Guy” - their words, not mine 🏎️👨💻 | 2026-06-04T15:16:02.177Z | IMAGE | 795 | 33 | 11 | |||||||
10 | So glad we got to do this! Thank you for the opportunity to share Angela Rudenko 🙌 | 2026-05-08T16:13:32.181Z | false | false | 1 | Minisha Goel | Founder@ MindShift AI | AI Training & Enablement for Enterprises Teams I Content Creator & Speaker | false | AI cannot build your personal brand
But you will be replaced by AI, so.....how to build a PB?
Answer in the NEW Interview:
I met Minisha Goel who was a speaker at Granola event, built an AI business with no tech background and became an industry influencer by sharing what she learned.
We sat down to discuss how to build your brand in 2026:
- Defining your mission & narrative
- Networking vs using your network
- Scaling your content with AI but preserving your unpolished self
being "unpolished" is your biggest advantage in 2026:
Watch the full video here: https://lnkd.in/ex8C8Gzg
#PersonalBranding | Angela Rudenko | profile | Storytelling & Marketing @Google Cloud Startups in EMEA | 2026-05-08T16:03:42.841Z | IMAGE | 39 | 4 | 1 |
Playground
curl -X POST https://api.mindcase.co/api/v1/agents/linkedin/profile-comments/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"profiles": [],
"maxResults": 10000,
"postedLimit": ""
}
}'Overview
LinkedIn Profile Comments extracts the public commenting history of any user. It returns specific data points including Comment Text, Commenter Title, Comment Likes, and the Post URL.
Sales development reps use LinkedIn Profile Comments to find relevant conversation starters based on prospect activity. Market researchers use it to analyze how competitors engage with industry content.
Cost
$2.00 per 1,000 comments. Each row returned counts as one comment. The total count grows based on the number of profiles requested and the max results limit set for each. Failed runs don't count.
Cost calculator
Examples
A few common ways teams put LinkedIn Profile Comments to work — copy a prompt below to try it yourself.
Monitor where target leads engage on LinkedIn to find conversation starters for outbound.
Track which topics influence industry leaders weigh in on, and where the discussion is heading.
Find a user's current professional focus by searching their commenting history for specific topics.
Export a large volume of interactions for a single profile to analyze engagement frequency over time.
Get started
Sign up to run live queries against LinkedIn Profile Comments via chat, form, or API.
FAQ
Related
Extract LinkedIn post comments and replies, including likes and reactions, from a list of post URLs
Extract reactions from LinkedIn posts and comments, providing likes and appreciations
Extract LinkedIn ad details, ad copy, media URL, and call-to-action buttons from Ad Library URLs
Monitor public LinkedIn profiles for reactions, along with full post details and social activities
Get LinkedIn company data — by company URL, or by searching with filters (location, size, industry). Returns the full company profile either way.
List LinkedIn company employees — name, role, location, seniority — from a list of company URLs