LinkedIn profile API
Our LinkedIn profile API gives you programmatic access to LinkedIn profile data that isn't available through any official API. Get data on full profile information, email addresses, mobile numbers, company details, job history, education background, and more. And the best part? You can try the LinkedIn profile API entirely for free, no credit card required.

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Integrate our LinkedIn profile API
Access the LinkedIn profile API using Python, JavaScript, CLI, cURL, OpenAPI, or MCP. Choose your preferred option and start extracting LinkedIn profile data in minutes.
Python
JavaScript
HTTP
MCP
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "profileUrls": [9 "https://www.linkedin.com/in/williamhgates",10 "http://www.linkedin.com/in/jeannie-wyrick-b4760710a",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("dev_fusion/linkedin-profile-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Get data with LinkedIn profile API
Extract LinkedIn profile data by providing LinkedIn profile URLs as input. The LinkedIn profile scraper returns structured JSON data with comprehensive profile information including names, occupations, headlines, summaries, work experience, education history, skills, languages, certifications, email addresses, and mobile numbers for paying users.
Input
{ "profileUrls": [ "<https://www.linkedin.com/in/jenhsunhuang>" ]}
Output
[ { "urn": "ACoAABMznFkB_XPgkYHnUl33kIHTWt1DtMAV6Pg", "about": "In 1993, I founded NVIDIA with Chris Malachowsky and Curtis Priem to solve the problem of 3D graphics for the PC. Our pioneering work in accelerated computing led to the redefinition of modern computer graphics and the creation of modern AI. \\n\\nNow, we are fundamentally changing how computing works and what computers can do. The next industrial revolution has begun.\\n\\nNVIDIA has more than 32,000 people. We are strong and growing. We are consistently recognized as one of the “Best Places to Work” by Glassdoor, one of the “100 Best Companies to Work For” by Fortune magazine, a “TIME100 Most Influential Company,” the “Most Innovative Company of 2024” by Fast Company, and many more.\\n\\nWe’re hiring, with openings in every corner of our company—and we are looking for talented, driven, and adventurous people who want to tackle challenges no one else can solve. NVIDIA employees build technology that moves humanity forward and support the communities in which they work and live. Recognized as a top company in social responsibility, our employees are passionate donors to hundreds of charities around the globe. \\n\\nGo to careers.nvidia.com to take the first step. I look forward to building the future together.", "email": "jhuang@nvidia.com", "promos": [], "skills": [ { "title": "Management", "subComponents": [ { "description": [ { "text": "Endorsed by 42 colleagues at NVIDIA", "type": "insightComponent" }, { "text": "Endorsed by 10 people who know the skill", "type": "insightComponent" }, { "text": "57 endorsements", "type": "insightComponent" } ] } ] } ], "courses": [], "patents": [], "updates": [ { "image": "<https://media.licdn.com/dms/image/v2/D5610AQFK1eG36oLVog/image-shrink_1280/image-shrink_1280/0/1736278720578?e=1760396400&v=beta&t=1CZDA4K2hGJVbBEt4G0hvW_aOm7QgDHAwRi7fy3HiPs>", "numLikes": 7939, "postLink": "<https://www.linkedin.com/feed/update/urn:li:activity:7282508257972178944?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7282508257972178944%29>", "postText": "Enjoyed sharing this at CES. Hope you take a moment to watch. ", "numComments": 332, "reactionTypeCounts": [ { "count": 6951, "reactionType": "LIKE" }, { "count": 456, "reactionType": "PRAISE" }, { "count": 420, "reactionType": "EMPATHY" }, { "count": 67, "reactionType": "INTEREST" }, { "count": 44, "reactionType": "APPRECIATION" }, { "count": 1, "reactionType": "ENTERTAINMENT" } ] } ], "fullName": "Jensen Huang", "headline": "Founder and CEO, NVIDIA", "jobTitle": "Founder and CEO", "lastName": "Huang", "projects": [], "firstName": "Jensen", "followers": 473730, "interests": [ { "section_name": "Top Voices", "section_components": [ { "size": "LARGE", "caption": "38,914,484 followers", "titleV2": "Bill Gates", "subtitle": "Chair, Gates Foundation and Founder, Breakthrough Energy", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/in/williamhgates>" }, { "size": "LARGE", "caption": "2,727,502 followers", "titleV2": "Reid Hoffman", "subtitle": "Co-Founder, LinkedIn, Manas AI & Inflection AI. Founding Team, PayPal. Author of Superagency. Podcaster of Possible and Masters of Scale. ", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/in/reidhoffman>" } ] }, { "section_name": "Companies", "section_components": [ { "size": "LARGE", "caption": "741,226 followers", "titleV2": "Yahoo", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/company/1288/>" }, { "size": "LARGE", "caption": "39,152,850 followers", "titleV2": "Google", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/company/1441/>" } ] }, { "section_name": "Groups", "section_components": [ { "size": "LARGE", "caption": "1,696 members", "titleV2": "AI, Machine Learning and Deep Learning in Healthcare & Pharmaceuticals ", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/groups/8447258>" }, { "size": "LARGE", "caption": "44,115 members", "titleV2": "Self Driving Cars - Autonomous Vehicles", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/groups/4731574>" } ] }, { "section_name": "Schools", "section_components": [ { "size": "LARGE", "caption": "1,422,112 followers", "titleV2": "Stanford University", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/school/1792/>" }, { "size": "LARGE", "caption": "248,473 followers", "titleV2": "Oregon State University", "subComponents": [], "textActionTarget": "<https://www.linkedin.com/school/165337/>" } ] } ], "languages": [], "educations": [ { "logo": "<https://media.licdn.com/dms/image/v2/C560BAQHr9suxyJBXMw/company-logo_200_200/company-logo_200_200/0/1635534378870/stanford_university_logo?e=1762387200&v=beta&t=2Iys1a6sNB-_08WgnfBLIHFGW-bnhRUgmvBOHAoh3ic>", "title": "Stanford University", "caption": "1990 - 1992", "subtitle": "MSEE", "breakdown": false, "companyId": "1792", "companyUrn": "urn:li:fsd_company:1792", "companyLink1": "<https://www.linkedin.com/company/1792/>", "subComponents": [ { "description": [] } ] }, { "logo": "<https://media.licdn.com/dms/image/v2/C4E0BAQEtLpPkfugtXg/company-logo_200_200/company-logo_200_200/0/1631354574889?e=1762387200&v=beta&t=nNLYPb2zHmiPx6T2BvjN2xM9ABtsG1nkxDsujR838mI>", "title": "Oregon State University", "caption": "1980 - 1984", "subtitle": "BSEE", "breakdown": false, "companyId": "165337", "companyUrn": "urn:li:fsd_company:165337", "companyLink1": "<https://www.linkedin.com/company/165337/>", "subComponents": [ { "description": [] } ] } ], "highlights": [], "profilePic": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1724130099593?e=1762387200&v=beta&t=LAGUv_b6a5ZKF5Z2skCp5Ft8AIdpnz7pKpfmcUJkLK8>", "testScores": [], "companyName": "Nvidia", "companySize": "10001+", "connections": 1586, "experiences": [ { "logo": "<https://media.licdn.com/dms/image/v2/D560BAQGV36q2EowSyw/company-logo_200_200/company-logo_200_200/0/1724881581208/nvidia_logo?e=1762387200&v=beta&t=Q4lGjY9EEEneYUwZ_a_K0datMSwWKAsOgBsdgoHkFwI>", "title": "Founder and CEO", "caption": "1993 - Present · 32 yrs 10 mos", "subtitle": "NVIDIA", "breakdown": false, "companyId": "3608", "companyUrn": "urn:li:fsd_company:3608", "companyLink1": "<https://www.linkedin.com/company/3608/>", "subComponents": [ { "description": [] } ] }, { "logo": "<https://media.licdn.com/dms/image/v2/C4D0BAQENjffsNb02vA/company-logo_200_200/company-logo_200_200/0/1630500576155/dennys_logo?e=1762387200&v=beta&t=aBY0raiFeQgEfrLIxJ1uqsmCpSkmyBtYRALTFKId8mM>", "title": "Dishwasher, Busboy, Waiter", "caption": "1978 - 1983 · 5 yrs", "subtitle": "Denny's · Seasonal", "breakdown": false, "companyId": "13366", "companyUrn": "urn:li:fsd_company:13366", "companyLink1": "<https://www.linkedin.com/company/13366/>", "subComponents": [ { "description": [] } ] } ], "linkedinUrl": "<https://www.linkedin.com/in/jenhsunhuang>", "mobileNumber": null, "publications": [], "organizations": [], "verifications": [], "companyWebsite": "nvidia.com", "openConnection": true, "companyIndustry": "Computer Hardware", "companyLinkedin": "linkedin.com/company/nvidia", "honorsAndAwards": [], "recommendations": [], "volunteerCauses": [], "companyFoundedIn": 1993, "publicIdentifier": "jenhsunhuang", "addressCountryOnly": "United States", "addressWithCountry": "Los Altos, California, United States", "currentJobDuration": "32 yrs 10 mos", "volunteerAndAwards": [], "addressWithoutCountry": "Los Altos, California", "profilePicHighQuality": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1724130099627?e=1762387200&v=beta&t=D_m4n3U8xGuQQqFyOFRoWPo-7UNutINCd8BnXiD_5A8>", "licenseAndCertificates": [], "currentJobDurationInYrs": 32.83, "profilePicAllDimensions": [ { "url": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1724130099593?e=1762387200&v=beta&t=LAGUv_b6a5ZKF5Z2skCp5Ft8AIdpnz7pKpfmcUJkLK8>", "width": 100, "height": 100, "expiresAt": 1762387200000 }, { "url": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1724130099593?e=1762387200&v=beta&t=waDbwYxwiZd14BhdNkd6_Fv33h0-Sr4qLShJ9me7B7I>", "width": 200, "height": 200, "expiresAt": 1762387200000 }, { "url": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1724130099593?e=1762387200&v=beta&t=I-YTOfZjkzPn4YbtncjgNN7Rp1d5yw5U-qrW1mL6quQ>", "width": 400, "height": 400, "expiresAt": 1762387200000 }, { "url": "<https://media.licdn.com/dms/image/v2/D5603AQHOzNxbdK5hrg/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1724130099627?e=1762387200&v=beta&t=D_m4n3U8xGuQQqFyOFRoWPo-7UNutINCd8BnXiD_5A8>", "width": 800, "height": 800, "expiresAt": 1762387200000 } ], "topSkillsByEndorsements": "Management" }]
Sign up for Apify account01
Creating an account is quick and free — no credit card required. Your account gives you access to more than 5,000 scrapers and APIs.
Get your Apify API token02
Go to settings in the Apify console and navigate to the “API & Integrations” tab. There, create a new token and save it for later.
Integrate LinkedIn profile API03
Navigate to the LinkedIn profile API page and click on the API dropdown menu in the top right corner. In the dropdown menu, you can see API clients, API endpoints, and more.
Get your LinkedIn profile data via API04
Now, you can use the API and get the data you need from LinkedIn profile.

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Get AI-ready LinkedIn profile data via API
Connect to hundreds of apps right away using ready-made integrations, or set up your own with webhooks and our API.
No, LinkedIn does not provide an official public API for scraping individual profile data at scale. This scraper operates without requiring LinkedIn cookies or account credentials, making it a practical alternative for accessing LinkedIn profile information that would otherwise require complex authentication processes.
Yes, you can try our LinkedIn profile scraper for free with Apify's free tier. New users receive free compute credits to test the scraper's functionality before committing to a paid plan. The scraper is priced at $10.00 per 1,000 results for continued usage.
You can extract comprehensive LinkedIn profile data including full names, professional headlines, job titles, current and past work experience, education history, skills, languages, honors, certifications, company information, industry details, company websites, and most importantly - email addresses. Paying users also get access to mobile number discovery features.
Web scraping LinkedIn profile data falls into a legal gray area that depends on how you use the data and your jurisdiction. This scraper only accesses publicly available information without requiring login credentials or cookies. However, you should comply with LinkedIn's terms of service, applicable data protection laws like GDPR, and use the data responsibly for legitimate business purposes.
Getting started is simple - just provide a list of LinkedIn profile URLs you want to scrape. The tool automatically filters and processes LinkedIn profile URLs, extracts the comprehensive profile data, and returns structured JSON results. No cookies or LinkedIn account setup required - just run the scraper and get your data.