About the API:
The LinkedIn Profile Data Scraper API is a powerful tool for developers who need to extract publicly available data from LinkedIn profiles. With this API, developers can easily retrieve a wide range of data points from LinkedIn profiles, including the user's name, current job title, education, and work history. The API is designed to be easy to use and provides data in JSON format, making it easy to integrate into a wide range of applications.
One of the key benefits of the LinkedIn Profile Data Scraper API is its ability to retrieve data quickly and efficiently. Developers can retrieve data from a LinkedIn profile URL in just a few seconds, allowing them to quickly integrate the data into their applications. This can be particularly useful for applications that require real-time data, such as job search platforms or applicant tracking systems.
Another key benefit of the LinkedIn Profile Data Scraper API is its flexibility. Developers can choose which data points to retrieve based on their specific needs, allowing them to create customized solutions that fit their unique requirements. For example, a developer building a job search platform might choose to retrieve data points such as the user's job title, education, and work history, while a developer building an applicant tracking system might choose to retrieve data points such as the user's skills, endorsements, and recommendations.
The LinkedIn Profile Data Scraper API is also designed to be secure and reliable. The API is built on a robust infrastructure that is designed to handle high volumes of requests with minimal downtime. Additionally, the API uses industry-standard security protocols to protect user data and ensure that all requests are handled securely.
In conclusion, the LinkedIn Profile Data Scraper API is a valuable tool for developers who need to retrieve publicly available data from LinkedIn profiles. With its speed, flexibility, and reliability, the API is a powerful solution that can be used in a wide range of applications, from job search platforms to applicant tracking systems. By providing developers with easy access to LinkedIn profile data, the LinkedIn Profile Data Scraper API helps developers create better, more effective applications that enhance the user experience.
Given a LinkedIn profile URL, the API will return publicly available data points in JSON format.
Recruitment and Talent Management: Companies can use the API to extract data from LinkedIn profiles of potential candidates, helping them to streamline recruitment and talent management processes. For example, the API can be used to extract information on job titles, education, work experience, and skills to find the best-suited candidates for a job opening.
Lead Generation: B2B businesses can use the API to extract the LinkedIn profile data of their target audience to generate leads. By extracting the LinkedIn profiles of potential customers, businesses can identify their industry, job title, work history, and other useful data points to identify and engage with potential leads.
Networking: Networking platforms can leverage the LinkedIn Profile Data Scraper API to extract public data from LinkedIn profiles to create a network of professionals from a particular industry, geographic region, or interest group. This can help in building targeted networking communities.
Competitive Intelligence: The API can be used to extract public data from competitor LinkedIn profiles to gain insights into their team structure, their expertise, and their business models.
Personal Development: Individuals can use the API to extract data points from their own LinkedIn profiles to analyze their work history, skills, and endorsements. This data can be used to understand their strengths and weaknesses and identify areas for personal and professional development.
Besides the number of API calls, there is no other limitation.
Get the profile information of any person you want on LinkedIn.
Get their current job position, their contact information, the number of connections they have, and the number of followers they have.
Profile Scraper - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
Continue with Google
Continue with Github
{"success":true,"status":200,"data":{"firstName":"Vivek","lastName":"D.","fullName":"Vivek D.","publicIdentifier":"vdutts7","headline":"➤ building @DeepLeap ➤ EECS @UC Berkeley alum ➤ Founder @Scorphx","associatedHashtags":"","connections":875,"followers":954,"emailRequired":"","creatorWebsite":{"name":"vd7.io ","link":"https://vd7.io/"},"openConnection":true,"memberId":"","urn":"ACoAACCC9fsBHMzwWefeN1P3b0ATdMbQQ2ICAx8","addressCountryOnly":"United States","addressWithCountry":"San Francisco Bay Area","addressWithoutCountry":"San Francisco Bay Area","profilePic":"https://media.licdn.com/dms/image/v2/D5603AQGHHde2a2oG1Q/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1692214900697?e=1735171200&v=beta&t=5_pAbcKqap5RWRfb-O6sBQO5zRHJbhW1_mQE81L8iqE","backgroundPicture":"https://media.licdn.com/dms/image/v2/D5616AQGUwM92XZK96Q/profile-displaybackgroundimage-shrink_200_800/profile-displaybackgroundimage-shrink_200_800/0/1692215329677?e=1735171200&v=beta&t=JHQPFd7m1BcmU2aHII3Vn6LAg439t4JJa5ekrdcrnUw","updates":[],"about":"Hey there. I'm a recent graduate out of UC Berkeley's Electrical Engineering Computer Science (EECS) department. Previously interned as a SWE at AWS and Visa and am currently working between Seattle and the Bay Area, building AI projects with DeepLeap.\n\nIn my free time, I enjoy creating digital art as well as doing anything soccer-related. Scorphx is an online business/brand I started where I sell unique, custom-designed soccer jerseys. Scorphx has a global audience spanning 89 countries with over 30K followers.\n\nActively seeking Full-Time roles. Contact: [email protected]","experiences":[{"companyId":"96598490","companyUrn":"urn:li:fsd_company:96598490","companyLink1":"https://www.linkedin.com/company/96598490/","logo":"https://media.licdn.com/dms/image/v2/D560BAQHUSDR6xN4onQ/company-logo_200_200/company-logo_200_200/0/1691953481964/deepleapio_logo?e=1737590400&v=beta&t=HWclBnJKwhpXNoTGKacuPncN417mHvNV7PsRmCHAWlc","title":"Lead Developer, Founder","subtitle":"DeepLeap · Self-employed","caption":"May 2023 - Present · 1 yr 6 mos","metadata":"San Francisco, California, United States · Hybrid","breakdown":false,"subComponents":[{"description":[{"type":"textComponent","text":"Areas of Focus: Custom LLMs, virtual worlds, and NPCs (\"non-player characters\").\n\n• DeepLeap's final framework is as a standalone project, loosely on the topic of autonomous, human-like AI entities and their interactions at scale in virtual worlds.\n• Currently a \"super-repo\": encompassing several smaller proof-of-concept projects. An example is BotPlot, a world adventure game where users can \"co-pilot\" their AIs in customizable scenes and set heuristics for the bots to follow. Find all projects here. See the attachments for a glimpse into the future possible directions of this framework.\n\n🔗 https://deepleap.io/"}]}]},{"companyId":"74971072","companyUrn":"urn:li:fsd_company:74971072","companyLink1":"https://www.linkedin.com/company/74971072/","logo":"https://media.licdn.com/dms/image/v2/C560BAQF9awm1_GvDPA/company-logo_200_200/company-logo_200_200/0/1679194333325/scorphx_logo?e=1737590400&v=beta&t=9WZ5_f2AehH5i1dQCGIZKWq9zuzK0KzKhqQyn3jmiAQ","title":"Founder","subtitle":"Scorphx LLC · Self-employed","caption":"May 2021 - Present · 3 yrs 6 mos","metadata":"United States","breakdown":false,"subComponents":[{"description":[{"type":"textComponent","text":"E-commerce store / digital brand selling my own line of custom fútbol (soccer) jerseys.\n\nManage all aspects of business and product's lifecycle:\n• Prototyping: custom jersey designs using Photoshop, Blender\n• Marketing + content creation: social media for building customer base, testing jersey ideas, gauging demand, and funneling to Shopify store. Continually refining and launching new products. Additionally: Google Ads (Pixels, AdSense), A|B testing, custom affiliate program.\n• Production + logistics/fulfillment of jerseys: researching product material (polyester, % blends, etc.), negotiating contracts with suppliers and garment factories, handling international courier/fulfillment services all the way through product arriving at doorstep of customer.\n\nTo date:\n• Social media presence: 30K+ combined following across Instagram, TikTok, YouTube, Facebook and a 1K+ email newsletter subscriber list.\n• 5000+ customers across 89 countries, monthly run rate of 150 units, 4.5+ (5 scale) customer review rating on store (www.scorphx.shop) where I host my products, testimonials, and customer reviews.\n• Scorphx has since expanded into custom client orders for influencer brands and charity matches.\n\nOnline store: 🔗 https://scorphx.shop"}]}]},{"companyId":"2190","companyUrn":"urn:li:fsd_company:2190","companyLink1":"https://www.linkedin.com/company/2190/","logo":"https://media.licdn.com/dms/image/v2/C560BAQEP8_eM4zW8bw/company-logo_200_200/company-logo_200_200/0/1630663392691/visa_logo?e=1737590400&v=beta&t=RE4w3mHbrFhKrwmZALCiTQkzaI-4VkclK4FzssPbJFk","title":"Software Engineer | Payments API","subtitle":"Visa · Internship","caption":"May 2022 - Aug 2022 · 4 mos","metadata":"Remote","breakdown":false,"subComponents":[{"description":[{"type":"textComponent","text":"• Deployed REST APIs for payment microservices to AWS (EC2 + EKS), using Docker containers for processing transaction volumes.\n• Implemented continuous integration practices for builds (CircleCI) and unit tests (PyTest).\nRefined UI prototypes and aided senior engineers in optimizing validation logic for enhanced responsiveness across Payment API microservices.\n• Attended daily standups and retrospectives, gaining strategic exposure to Visa's massive transaction processing systems."}]}]},{"companyId":"2382910","companyUrn":"urn:li:fsd_company:2382910","companyLink1":"https://www.linkedin.com/company/2382910/","logo":"https://media.licdn.com/dms/image/v2/C560BAQER_QnUTXrPJw/company-logo_200_200/company-logo_200_200/0/1670264051233/amazon_web_services_logo?e=1737590400&v=beta&t=4uVGztIHyPEFU9Web13ZpJFdDAGE7POhC0EfRodroTg","title":"Software Engineer | Prime Video","subtitle":"Amazon Web Services (AWS) · Internship","caption":"May 2021 - Aug 2021 · 4 mos","metadata":"Seattle, Washington, United States · On-site","breakdown":false,"subComponents":[{"description":[{"type":"textComponent","text":"• Explored datasets of Prime Video member browsing preferences, analyzing scroll behavior and bounce rates (Apache Spark, AWS Glue).\n• Collaborated with the data analysis and model training team to refine AI/ML models (scikit-learn, AWS SageMaker), leveraging insights for personalized content recommendations, resulting in 8% increase in watch time during controlled A/B testing.\n• Team collectively achieved a 15% reduction in data processing time over course of 10 weeks."}]}]},{"companyId":"2382910","companyUrn":"urn:li:fsd_company:2382910","companyLink1":"https://www.linkedin.com/company/2382910/","logo":"https://media.licdn.com/dms/image/v2/C560BAQER_QnUTXrPJw/company-logo_200_200/company-logo_200_200/0/1670264051233/amazon_web_services_logo?e=1737590400&v=beta&t=4uVGztIHyPEFU9Web13ZpJFdDAGE7POhC0EfRodroTg","title":"Software Engineer | Prime Store","subtitle":"Amazon Web Services (AWS) · Internship","caption":"Jun 2018 - Sep 2018 · 4 mos","metadata":"Seattle, Washington, United States · On-site","breakdown":false,"subComponents":[{"description":[{"type":"textComponent","text":"• As a high schooler, shadowed under team of senior engineers building a predictive ML model to understand customer buying preferences. Focused on Home & Kitchen section; imported 50,000 record sample from Amazon APIs into SQL, matplotlib for visualization.\n• Analyzed purchase categories for 5,000 customers, identifying that 19% spent over 32% in the Home & Kitchen section.\n• Presented findings from analysis of order frequencies to mentors weekly:\n• Filters on prototype dashboards helped identify highest spending demographics spent 2X more on average than others.\n• Used insights suggesting Garden items could increase sales 15% to propose running A/B testing promotions on Seattle customers for coming season."}]}]}],"educations":[{"companyId":"2517","companyUrn":"urn:li:fsd_company:2517","companyLink1":"https://www.linkedin.com/company/2517/","logo":"https://media.licdn.com/dms/image/v2/D560BAQGAYs8yokH-Yg/company-logo_200_200/company-logo_200_200/0/1728101909900/uc_berkeley_logo?e=1737590400&v=beta&t=z0HX5dfrUKsZLlBLsopKokDouW2-OtX1qEG9VI0pYeg","title":"University of California, Berkeley","subtitle":"Bachelor of Science - BS, Electrical Engineering & Computer Science (EECS)","caption":"Aug 2019 - May 2023","breakdown":false,"subComponents":[{"description":[]}]},{"companyLink1":"https://www.linkedin.com/search/results/all/?keywords=Interlake+High+School","title":"Interlake High School","caption":"2015 - 2019","breakdown":false,"subComponents":[{"description":[{"type":"insightComponent","text":"Grade: 4.0"},{"type":"insightComponent","text":"Activities and societies: DECA, Model United Nation, Science Club"},{"type":"textComponent","text":"• 4.0 GPA (unweighted)\n• Gifted IB Program Diploma Recipient (June 2018)\n• National AP Scholar\n• DECA (Club Officer), Science Club (Treasurer)"}]}]}],"licenseAndCertificates":[{"companyId":"22614","companyUrn":"urn:li:fsd_company:22614","companyLink1":"https://www.linkedin.com/company/22614/","logo":"https://media.licdn.com/dms/image/v2/C4E0BAQH1trVeMU7kyA/company-logo_200_200/company-logo_200_200/0/1631325578760?e=1737590400&v=beta&t=Ut-NK0N4KTK4hJ95asGISd6tVi6usyTkUFZnpDh6ZPI","title":"IB Diploma","subtitle":"International Baccalaureate","caption":"Issued Jun 2018","breakdown":false,"subComponents":[{"description":[]}]}],"honorsAndAwards":[{"title":"2019 DECA ICDC National Finalist","subtitle":"Issued by DECA · Apr 2019","breakdown":false,"subComponents":[{"description":[{"type":"insightComponent","text":...
curl --location --request POST 'https://zylalabs.com/api/1511/linkedin+profile+scraper+api/5771/profile+scraper' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"link": "https://www.linkedin.com/in/williamhgates/"
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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