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0.4¢ per profile32 datapoints
LinkedIn Company Employees API
List LinkedIn company employees — name, role, location, seniority — from a list of company URLs
Sample
Sample data
Here's a sample run for 10 employees of Google, showing the exact schema and results you can expect.
| # | Profile URL | Profile ID | Handle | First Name | Last Name | Headline | About | Photo | Cover Photo | City | State | Country | Followers | Connections | Verified | Premium | Influencer | Open To Work | Hiring | Experience | Education | Certifications | Projects | Courses | Publications | Volunteering | Received Recommendations | Skills | Honors And Awards | Languages | Causes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ACoAAAUNclsBu2DAE4Y4tc9S8xexXwZzcBbYEvw | davpk | David | P. | Senior UX Engineer at Google | Full stack web engineer who specializes in the front end | — | San Francisco | California | United States | 915 | 904 | true | false | false | false | false | — | — | — | — | ||||||||||
2 | ACoAAAad15ABzuip8UbtNYUAEMdFSor2T-CRaxE | srivastavarajat | Rajat | Srivastava | Search Ads | 10+ years of software engineering experience working on end to end Machine Learning models and data pipelines. I have experience designing and implementing solutions for complex problems based on best practices, state-of-the-art programming tools, and technologies. | — | New York City | New York | United States | 919 | 929 | true | true | false | false | false | — | — | — | — | ||||||||||
3 | ACoAAAxmu3wBqn7q2z252re9VGhBHeG_xteEmIs | daniel-golden | Daniel | Golden | Machine Learning Lead at Google Research | — | — | Palo Alto | California | United States | 5,172 | 1,200 | true | false | false | false | false | — | — | — | — | — | — | — | |||||||
4 | ACoAABYW60QBh0R3DQmmwQGRbL5wOoq3CrFDtfs | sharmaro | Rohan | Sharma | Software Engineer at Google | Software engineer. Passionate about technology, business, and innovation. | San Francisco | California | United States | 763 | 742 | true | false | false | false | false | — | — | — | ||||||||||||
5 | ACoAABQIvbwBygXbi7JyCKZHqBZIq3IoVA9EOsU | aanshulsadaria | Aanshul | Sadaria | Bringing you closer to real tech | Software Engineer @ Google | Institute Gold Medalist @ IIITH | First Inventor @ Adobe | Ex-Researcher @ Precog | Speaker at 50+ Events | • Drop in a mail at aanshulcollabs@gmail.com for collaborations, events, ...
• Currently working with LLMs and building developer infrastructure in Google Search. Earlier provide Cloud (Enterprise) Search solutions to enterprise customers at Google
• During college time, had keen interest and enthusiasm in Data Science and ML+DL solutions. Worked in the field of Social Media and Elections 2019.
• Worked at Adobe, India in Computer Vision ( Core Technology ) for which Patent has been filed.
• Interested in everything where curiosity meets
• Photographer • Writer • Traveler
• Talent meets hardwork
• Forever, a learner... | Bengaluru | Karnataka | India | 145,683 | 23,781 | true | true | false | false | false | — | — | — | — | — | ||||||||||
6 | ACoAABc9bT4Bs0z4csyq9UAy7eVpMupQjPV3frU | jesusgarlea | Jesus | Garza | VP Intern | — | — | Mountain View | California | United States | 923 | 905 | true | false | false | false | false | — | — | — | — | — | |||||||||
7 | ACoAABKeZDgBmTdy5V6-UF7wrhI1FcmRsJipwFA | christopher-probst-ranly-98874188 | Christopher | Probst-Ranly | Google | Co-Founder StriveCast | — | Solingen | North Rhine-Westphalia | Germany | 757 | 703 | true | false | false | false | false | — | — | — | — | — | — | |||||||||
8 | ACoAABF-JXABF_Wr_isY5oEXb99TiXzVQsmXZmU | ruhani-khanna | Ruhani | Khanna | Strategy @ Google | — | — | San Francisco | California | United States | 2,139 | 1,994 | true | false | false | false | false | — | — | — | — | — | — | — | — | ||||||
9 | ACoAABWAqpIBc1BVuITVYt-D11p8cW5kw7n2mnY | parthadhruv | Dhruv | Parth | Software Engineer at Google DeepMind | Focused on building reliable full-stack applications & mentoring devs. | Let’s connect: calendly.com/parthadhruv/intro | parthadhruv@gmail.com | I reply faster to emails.
I am a Full-Stack Software Engineer at Google DeepMind, specializing in building production-grade user interfaces, developer platforms, and high-performance web applications for frontier AI models. Currently working on Google AI Studio, I focus on bridging the gap between state-of-the-art LLMs and intuitive, scalable developer experiences.
Rather than just accumulating tech buzzwords, my engineering philosophy is driven by "learning over knowing" and "quality over quantity." I approach software through a strict product lens—prioritizing robust, testable code architectures, clear user experience (UX), and technical mentorship over chasing short-lived trends.
🛠️ Core Stack & Technical Expertise
Highly proficient in designing and scaling end-to-end applications using:
- Frontend & UI Engineering: TypeScript, Next.js, Angular, React, Data Visualization (D3.js, Three.js), UX Optimization
- Backend & APIs: Python (FastAPI), Node.js, Java, Unit Testing & Testable Code Design
📈 High-Impact Metrics & Leadership
Frontier AI Launch Engineering: Shipped critical frontend and full-stack capabilities at Google DeepMind to support major model releases, including Gemini 3.5 Flash, Gemini Omni and the Gemini 3.1 Flash TTS & Lyria Audio Playground on Google AI Studio. (https://ai.studio)
Performance Optimization: Redesigned and developed the frontend of a real-time pair trading web application, eliminating execution bottlenecks to reduce Memory Footprint by 62%, App Load Time by 23%, and CPU Usage by 10%.
Technical Leadership & Onboarding: Guided a 4-member engineering team to deliver analytical workflow tools. Experienced in scaling team capabilities by designing onboarding workflows and breaking down highly complex systems to baseline concepts for new engineers.
🤝 What Peers & Managers Say
"Dhruv paid a lot of attention to the user experience while developing screens and made sure to write testable code, thus ensuring the codebase is maintainable... He knew the app inside out and was comfortable teaching it by breaking down concepts to the bare basics." — Lekshmi B., Software Engineering Peer
"Dhruv shows a great amount of drive when learning to pick up on new things, asking the right questions... Multiple team members have shared that he is a compassionate leader who leads by doing the work." — Suprit Kulkarni, Tech Lead / Data Scientist
🔗 I learning any new technology by jumping right into building prototypes: github.com/parthasarathydNU | Mountain View | California | United States | 6,696 | 4,576 | true | false | false | false | false | — | ||||||||||||||
10 | ACoAACcmKW8BfLyzZAGbcpRSmAWqFTy9m_ktkiQ | keenandimmock | Keenan | Dimmock | Data Center Operations @ Google | — | Omaha | Nebraska | United States | 794 | 791 | true | false | false | false | false | — | — | — | — | — | — | — | — | — |
Playground
Run this API
Advanced parameters are collapsed below.
Input Form
Fill in the fields below or .
0.4¢ per profile
No row cap set
Output limits
live
curl -X POST https://api.mindcase.co/v1/data/linkedin/company-employees/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"companies": "",
"locations": [],
"jobTitles": [],
"yearsAtCompany": [],
"yearsOfExperience": [],
"companyHeadcount": [],
"pastJobTitles": [],
"seniorityLevels": [],
"functions": [],
"industries": []
}
}'Edit the form to update this live.
Overview
About LinkedIn Company Employees API
LinkedIn Company Employees returns the full professional profile of every employee at a target company — found by company page plus optional filters (job title, seniority, function, industry, location, tenure). Each person comes back with headline, about, location, followers, full experience and education history, skills, certifications, languages, and more.
Sales teams use it to map stakeholders at target accounts; recruiters use it to build talent pools from a company's roster. Returned as clean JSON or CSV — flat fields plus structured arrays for experience, education, and skills — ready for your CRM or warehouse. No LinkedIn login required.
Real-time dataSelf-servePay per resultZero setup time
Examples
Use cases
A few common ways teams put LinkedIn Company Employees API to work — copy a prompt below to try it yourself.
Sales prospecting
Identify decision makers at specific companies for outreach lists.
Get 100 employees from OpenAI
Talent mapping
Analyze headcount and seniority levels across multiple competitors.
List employees from Stripe and Adyen
Recruitment benchmarking
Find engineering leads at specific companies for headhunting.
Find engineering leads at Google
Account based marketing
Find specific roles in specific regions for localized marketing campaigns.
Get 50 marketing managers at HubSpot located in Boston
Get started
Ready to pull employees?
Sign up to run live queries against LinkedIn Company Employees API via chat, form, or API.
FAQ
Frequently asked questions
- Does this include email addresses?
- No — email addresses are not included. LinkedIn Company Employees returns public profile data only (work history, education, skills, etc.).
- How fresh is the data?
- Live on every run. LinkedIn Company Employees does not cache results. Each request pulls the current state of the source at the moment you query, so what you receive is what users see on the platform right now.
- Can I fetch multiple companies in one run?
- Yes. Pass an array of companies in a single call and LinkedIn Company Employees fans out the requests in parallel. The response is one consolidated table with a column noting which companie each row came from.
- How do I integrate with Zapier, n8n, Google Sheets, or Airtable?
- LinkedIn Company Employees 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?
- Each employee returns a full profile: name, headline, about, photo, city/state/country, followers, connections, join year, status flags (verified, premium, open-to-work, hiring), plus structured arrays — experience, education, skills, certifications, projects, publications, volunteering, recommendations, languages, honors, patents, and causes.
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