{"id":5400,"date":"2026-05-05T09:10:58","date_gmt":"2026-05-05T09:10:58","guid":{"rendered":"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-and-collect-data-from-linkedin\/"},"modified":"2026-05-13T07:03:36","modified_gmt":"2026-05-13T07:03:36","slug":"linkedin-scraping-api","status":"publish","type":"post","link":"https:\/\/scraping-bot.io\/blogs\/linkedin-scraping-api\/","title":{"rendered":"How to scrape LinkedIn?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5400\" class=\"elementor elementor-5400\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a72f2c e-flex e-con-boxed e-con e-parent\" data-id=\"3a72f2c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-45b187f elementor-widget elementor-widget-html\" data-id=\"45b187f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<article class=\"sb-article\">\r\n\r\n  <div class=\"sb-meta\">\r\n    <span class=\"sb-tag\">Web scraping<\/span>\r\n    <span class=\"sb-read-time\">9 min read &nbsp;\u00b7&nbsp; Published: 07\/05\/2026<\/span>\r\n  <\/div>\r\n\r\n  <h1>LinkedIn Scraping API: Extract Profiles, Companies and Jobs with ScrapingBot<\/h1>\r\n\r\n  <p class=\"sb-intro\">ScrapingBot's <strong>LinkedIn scraping API<\/strong> gives developers programmatic access to public LinkedIn data \u2014 profiles, company pages, and job listings \u2014 in structured JSON format, without dealing with rate limits, login walls, or bot detection. This guide covers everything you need to integrate the API into your pipeline: endpoints, parameters, response structure, and production best practices.<\/p>\r\n\r\n  <div class=\"sb-toc\">\r\n    <p class=\"sb-toc-title\">Table of contents<\/p>\r\n    <ol>\r\n      <li><a href=\"#why\">Why use a LinkedIn scraping API?<\/a><\/li>\r\n      <li><a href=\"#what-data\">What data can you extract?<\/a><\/li>\r\n      <li><a href=\"#challenges\">Technical challenges of scraping LinkedIn<\/a><\/li>\r\n      <li><a href=\"#how-it-works\">How the LinkedIn scraping API works<\/a><\/li>\r\n      <li><a href=\"#step-by-step\">Step-by-step: integrate the API<\/a><\/li>\r\n      <li><a href=\"#use-cases\">Key use cases<\/a><\/li>\r\n      <li><a href=\"#further\">Going further<\/a><\/li>\r\n    <\/ol>\r\n  <\/div>\r\n\r\n  <h2 id=\"why\">1. Why use a LinkedIn scraping API?<\/h2>\r\n  <p>LinkedIn is the world's largest professional network, with over 1 billion members and millions of company pages. Over time, it has become a critical data source for a wide range of technical applications:<\/p>\r\n  <ul>\r\n    <li><strong>Talent intelligence<\/strong> \u2014 build candidate pipelines by extracting profiles filtered by skills, location, or experience<\/li>\r\n    <li><strong>Lead generation<\/strong> \u2014 identify decision-makers at target companies using company page and employee data<\/li>\r\n    <li><strong>Market research<\/strong> \u2014 track hiring trends, headcount growth, and industry movements at scale<\/li>\r\n    <li><strong>Competitive analysis<\/strong> \u2014 monitor competitor company pages, job postings, and workforce changes<\/li>\r\n    <li><strong>CRM enrichment<\/strong> \u2014 automatically enrich contact records with up-to-date professional data<\/li>\r\n  <\/ul>\r\n  <p>LinkedIn's official API is highly restricted \u2014 it provides access only to a limited set of data and requires a lengthy approval process. Consequently, a <strong>LinkedIn scraping API<\/strong> is the most practical solution for developers who need reliable, scalable access to public LinkedIn data.<\/p>\r\n\r\n  <div class=\"sb-note\">\r\n    <strong>\u26a0\ufe0f Important:<\/strong> ScrapingBot only extracts <strong>publicly accessible data<\/strong> from LinkedIn. Always ensure your use case complies with applicable data protection laws (GDPR, CCPA) and LinkedIn's terms of service.\r\n  <\/div>\r\n\r\n  <h2 id=\"what-data\">2. What data can the LinkedIn scraping API extract?<\/h2>\r\n  <p>ScrapingBot's <strong>LinkedIn scraping API<\/strong> supports three types of data extraction. Below is the full field reference for each:<\/p>\r\n\r\n  <h3>LinkedIn Profile data<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Description<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>url<\/td><td>Profile URL<\/td><td>string<\/td><\/tr>\r\n      <tr><td>name<\/td><td>Full name<\/td><td>string<\/td><\/tr>\r\n      <tr><td>position<\/td><td>Current job title<\/td><td>string<\/td><\/tr>\r\n      <tr><td>currentCompany<\/td><td>Current company name and link<\/td><td>object<\/td><\/tr>\r\n      <tr><td>avatar<\/td><td>Profile picture URL<\/td><td>string<\/td><\/tr>\r\n      <tr><td>about<\/td><td>Bio \/ about section<\/td><td>string<\/td><\/tr>\r\n      <tr><td>city<\/td><td>Location<\/td><td>string<\/td><\/tr>\r\n      <tr><td>following<\/td><td>Number of followers<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>experience<\/td><td>Work history (company, title, dates)<\/td><td>array<\/td><\/tr>\r\n      <tr><td>education<\/td><td>Education history<\/td><td>array<\/td><\/tr>\r\n      <tr><td>certifications<\/td><td>Professional certifications<\/td><td>array<\/td><\/tr>\r\n      <tr><td>courses<\/td><td>Courses completed<\/td><td>array<\/td><\/tr>\r\n      <tr><td>languages<\/td><td>Languages spoken<\/td><td>array<\/td><\/tr>\r\n      <tr><td>groups<\/td><td>LinkedIn groups membership<\/td><td>array<\/td><\/tr>\r\n      <tr><td>posts<\/td><td>Recent posts<\/td><td>array<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h3>LinkedIn Company Profile data<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Description<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>url<\/td><td>Company page URL<\/td><td>string<\/td><\/tr>\r\n      <tr><td>name<\/td><td>Company name<\/td><td>string<\/td><\/tr>\r\n      <tr><td>sphere<\/td><td>Industry sector<\/td><td>string<\/td><\/tr>\r\n      <tr><td>followers<\/td><td>Number of followers<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>employees<\/td><td>Number of employees<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>about<\/td><td>Company description<\/td><td>string<\/td><\/tr>\r\n      <tr><td>locations<\/td><td>Office locations<\/td><td>array<\/td><\/tr>\r\n      <tr><td>website<\/td><td>Company website URL<\/td><td>string<\/td><\/tr>\r\n      <tr><td>industries<\/td><td>Industry tags<\/td><td>array<\/td><\/tr>\r\n      <tr><td>companySize<\/td><td>Employee count range<\/td><td>string<\/td><\/tr>\r\n      <tr><td>headquarters<\/td><td>HQ location<\/td><td>string<\/td><\/tr>\r\n      <tr><td>type<\/td><td>Company type (public, private\u2026)<\/td><td>string<\/td><\/tr>\r\n      <tr><td>founded<\/td><td>Year founded<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>updates<\/td><td>Recent company posts<\/td><td>array<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"challenges\">3. Technical challenges of scraping LinkedIn<\/h2>\r\n  <p>LinkedIn is one of the most aggressively protected platforms against automated data collection. Before integrating any scraping solution, it is important to understand what makes it technically difficult:<\/p>\r\n  <ul>\r\n    <li><strong>Login wall<\/strong> \u2014 most profile data is hidden behind authentication, making headless browser scraping unreliable.<\/li>\r\n    <li><strong>Aggressive bot detection<\/strong> \u2014 behavioral fingerprinting, TLS fingerprinting, and IP reputation scoring block scrapers within seconds.<\/li>\r\n    <li><strong>JavaScript rendering<\/strong> \u2014 all profile data loads dynamically via React; therefore, plain HTTP requests return empty shells.<\/li>\r\n    <li><strong>Rate limiting<\/strong> \u2014 even authenticated requests are throttled aggressively, with temporary bans triggered after a small number of requests.<\/li>\r\n    <li><strong>Frequent front-end changes<\/strong> \u2014 LinkedIn's DOM structure changes regularly, which means selector-based scrapers break without warning.<\/li>\r\n  <\/ul>\r\n  <p>Furthermore, building and maintaining a custom LinkedIn scraper that handles all of these challenges requires significant ongoing engineering effort. Consequently, ScrapingBot's <strong>LinkedIn scraping API<\/strong> abstracts all of this complexity so you can focus on using the data.<\/p>\r\n\r\n  <h2 id=\"how-it-works\">4. How the LinkedIn scraping API works<\/h2>\r\n\r\n  <h3>Two-step asynchronous pattern<\/h3>\r\n  <p>ScrapingBot's <strong>LinkedIn scraping API<\/strong> uses a two-step asynchronous pattern \u2014 specifically designed to handle LinkedIn's protections without getting blocked:<\/p>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Step<\/th><th>Method<\/th><th>Purpose<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>1<\/td><td>POST<\/td><td>Submit the scraping job and receive a <code>responseId<\/code><\/td><\/tr>\r\n      <tr><td>2<\/td><td>GET<\/td><td>Poll with the <code>responseId<\/code> to retrieve the result when ready<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <p>This pattern is necessary because LinkedIn scraping requires time to bypass protections reliably. As a result, the API returns a job ID immediately and processes the request asynchronously in the background.<\/p>\r\n\r\n  <h3>Scraper values reference<\/h3>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Scraper value<\/th><th>Target<\/th><th>Required parameter<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td><code>linkedinProfile<\/code><\/td><td>Individual LinkedIn profile<\/td><td><code>url<\/code> \u2014 full profile URL<\/td><\/tr>\r\n      <tr><td><code>linkedinCompanyProfile<\/code><\/td><td>LinkedIn company page<\/td><td><code>url<\/code> \u2014 full company page URL<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"step-by-step\">5. Step-by-step: integrate the LinkedIn scraping API<\/h2>\r\n\r\n  <h3>Step 1 \u2014 Create your ScrapingBot account<\/h3>\r\n  <p>To get started, ScrapingBot offers <strong>free access with 100 credits per month<\/strong> \u2014 no payment information required. Already have an account? Simply log in and retrieve your API credentials from the dashboard.<\/p>\r\n\r\n  <h3>Step 2 \u2014 Submit the scraping job (POST request)<\/h3>\r\n  <p>Send a POST request to the Data Scraper endpoint with your target URL and scraper type:<\/p>\r\n\r\n  <pre><code>POST https:\/\/api.scraping-bot.io\/scrape\/data-scraper\r\n\r\nAuthorization: Basic {base64(username:api_key)}\r\nContent-Type: application\/json\r\n\r\n\/\/ Scraping a LinkedIn profile:\r\n{\r\n  \"scraper\": \"linkedinProfile\",\r\n  \"url\": \"https:\/\/www.linkedin.com\/in\/username\/\"\r\n}\r\n\r\n\/\/ Scraping a company page:\r\n{\r\n  \"scraper\": \"linkedinCompanyProfile\",\r\n  \"url\": \"https:\/\/www.linkedin.com\/company\/company-name\/\"\r\n}<\/code><\/pre>\r\n\r\n  <p>The API immediately returns a <code>responseId<\/code>:<\/p>\r\n\r\n  <pre><code>{\r\n  \"responseId\": \"abc123xyz789\"\r\n}<\/code><\/pre>\r\n\r\n  <h3>Step 3 \u2014 Poll for the result (GET request)<\/h3>\r\n  <p>Next, use the <code>responseId<\/code> to retrieve the scraped data:<\/p>\r\n\r\n  <pre><code>GET https:\/\/api.scraping-bot.io\/scrape\/data-scraper-response?responseId=abc123xyz789&scraper=linkedinProfile\r\n\r\nAuthorization: Basic {base64(username:api_key)}<\/code><\/pre>\r\n\r\n  <p>Should the job still be processing, you will receive:<\/p>\r\n\r\n  <pre><code>{\r\n  \"status\": \"pending\",\r\n  \"message\": \"Scraping is not finished for this request, try again in a few\"\r\n}<\/code><\/pre>\r\n\r\n  <p>In that case, retry after 2\u20133 seconds. Once complete, the API returns the full structured JSON profile.<\/p>\r\n\r\n  <div class=\"sb-note\">\r\n    <strong>\ud83d\udca1 Production tip:<\/strong> Implement an exponential backoff retry loop \u2014 start with a 2-second delay, then increase to 4s, 8s, and so on. Most LinkedIn requests complete within 5\u201315 seconds depending on profile complexity.\r\n  <\/div>\r\n\r\n  <h3>Step 4 \u2014 Parse the JSON response<\/h3>\r\n  <p>Once the result is ready, the API returns a fully structured JSON object. Below is an example of the profile response structure:<\/p>\r\n\r\n  <pre><code>{\r\n  \"name\": \"John Smith\",\r\n  \"position\": \"Senior Software Engineer\",\r\n  \"currentCompany\": {\r\n    \"name\": \"Acme Corp\",\r\n    \"url\": \"https:\/\/www.linkedin.com\/company\/acme-corp\/\"\r\n  },\r\n  \"city\": \"San Francisco, CA\",\r\n  \"following\": 3200,\r\n  \"experience\": [\r\n    {\r\n      \"title\": \"Senior Software Engineer\",\r\n      \"company\": \"Acme Corp\",\r\n      \"startDate\": \"2022-03\",\r\n      \"endDate\": null,\r\n      \"current\": true\r\n    }\r\n  ],\r\n  \"education\": [\r\n    {\r\n      \"school\": \"MIT\",\r\n      \"degree\": \"MSc Computer Science\",\r\n      \"years\": \"2015\u20132017\"\r\n    }\r\n  ],\r\n  \"skills\": [\"Python\", \"Kubernetes\", \"PostgreSQL\"],\r\n  \"certifications\": [\"AWS Certified Solutions Architect\"]\r\n}<\/code><\/pre>\r\n\r\n  <h2 id=\"use-cases\">6. Key use cases for the LinkedIn scraping API<\/h2>\r\n\r\n  <h3>Talent intelligence and recruiting<\/h3>\r\n  <p>Extract candidate profiles at scale to build talent pipelines filtered by skills, experience level, location, or current employer. By combining profile data with company headcount trends, you can furthermore identify when target companies are scaling specific teams \u2014 a strong signal for both sales and recruiting.<\/p>\r\n\r\n  <h3>B2B lead generation<\/h3>\r\n  <p>Scrape company pages to identify key decision-makers, then cross-reference with profile data to build targeted outreach lists. Tracking company updates and job postings additionally gives you real-time intent signals \u2014 for example, a company hiring five data engineers is likely evaluating new data infrastructure.<\/p>\r\n\r\n  <h3>CRM and data enrichment<\/h3>\r\n  <p>Feed scraped LinkedIn data directly into your CRM to keep contact records up to date automatically. As a result, your sales team always has accurate job titles, company affiliations, and contact context \u2014 without manual research.<\/p>\r\n\r\n  <h3>Competitive intelligence<\/h3>\r\n  <p>Monitor competitor company pages for headcount changes, new hires, and technology stack signals from job descriptions. Tracking employee growth rates over time is moreover one of the most reliable leading indicators of a company's financial trajectory.<\/p>\r\n  <h2 id=\"further\">7. Going further<\/h2>\r\n\r\n  <h3>Scaling your LinkedIn data pipeline<\/h3>\r\n  <p>Once your integration is working, you can scale it by batching requests across multiple profiles or company pages in parallel. ScrapingBot handles concurrency and IP rotation automatically \u2014 so your pipeline can process hundreds of profiles per hour without manual infrastructure management.<\/p>\r\n\r\n  <h3>Combining with other data sources<\/h3>\r\n  <p>Beyond LinkedIn, ScrapingBot's unified <strong>LinkedIn scraping API<\/strong> also supports Instagram, Threads, Facebook, and many other platforms with the same authentication and response pattern.<\/p>\r\n  <p>Furthermore, this makes it straightforward to build multi-source enrichment pipelines that combine LinkedIn professional data with social media presence data \u2014 all through a single API key.<\/p>\r\n\r\n  <div class=\"sb-cta\">\r\n    <p><strong>Ready to integrate the LinkedIn scraping API?<\/strong> Get 100 free credits when you sign up for ScrapingBot \u2014 no credit card required.<\/p>\r\n    <a href=\"https:\/\/scraping-bot.io\/pricing\" class=\"sb-cta-btn\">Try ScrapingBot for free \u2192<\/a>\r\n  <\/div>\r\n\r\n<\/article>\r\n<style>\r\n.sb-article { max-width: 800px; margin: 0 auto; font-family: inherit; color: inherit; line-height: 1.7; }\r\n.sb-article h1 { font-size: 28px; font-weight: 700; margin: 0 0 1.25rem; line-height: 1.3; }\r\n.sb-meta { display: flex; align-items: center; gap: 12px; margin-bottom: 1.5rem; flex-wrap: wrap; }\r\n.sb-tag { background: #e6f1fb; color: #185fa5; font-size: 12px; padding: 4px 12px; border-radius: 6px; font-weight: 500; }\r\n.sb-read-time { font-size: 13px; color: #888; }\r\n.sb-intro { font-size: 16px; border-left: 3px solid #378add; padding-left: 1rem; color: #444; margin-bottom: 2rem; }\r\n.sb-toc { background: #f8f8f8; border: 1px solid #e8e8e8; border-radius: 8px; padding: 1rem 1.5rem; margin-bottom: 2rem; }\r\n.sb-toc-title { font-size: 13px; font-weight: 600; color: #666; margin: 0 0 8px; text-transform: uppercase; letter-spacing: 0.05em; }\r\n.sb-toc ol { margin: 0; padding-left: 1.25rem; }\r\n.sb-toc li { font-size: 14px; padding: 3px 0; }\r\n.sb-toc a { color: #185fa5; text-decoration: none; }\r\n.sb-toc a:hover { text-decoration: underline; }\r\n.sb-article h2 { font-size: 22px; font-weight: 600; margin: 2.5rem 0 0.75rem; border-bottom: 1px solid #eee; padding-bottom: 0.5rem; }\r\n.sb-article h3 { font-size: 17px; font-weight: 600; margin: 1.5rem 0 0.5rem; }\r\n.sb-article p { margin: 0 0 1rem; }\r\n.sb-article ul, .sb-article ol { margin: 0 0 1rem; padding-left: 1.5rem; }\r\n.sb-article li { margin-bottom: 6px; }\r\n.sb-article pre { background: #1e1e1e; color: #d4d4d4; border-radius: 8px; padding: 1.25rem; overflow-x: auto; margin: 1rem 0 1.5rem; }\r\n.sb-article code { font-family: 'Courier New', monospace; font-size: 13px; line-height: 1.6; }\r\n.sb-article p code { background: #f4f4f4; padding: 2px 6px; border-radius: 4px; font-size: 13px; color: #c7254e; }\r\n.sb-table { width: 100%; border-collapse: collapse; margin: 1rem 0 1.5rem; font-size: 14px; }\r\n.sb-table th { text-align: left; padding: 10px 14px; background: #f4f4f4; font-weight: 600; border-bottom: 2px solid #ddd; }\r\n.sb-table td { padding: 10px 14px; border-bottom: 1px solid #eee; }\r\n.sb-table tr:last-child td { border-bottom: none; }\r\n.sb-img-block { margin: 1.5rem 0 2rem; }\r\n.sb-screenshot { width: 100%; border-radius: 8px; border: 1px solid #ddd; box-shadow: 0 2px 12px rgba(0,0,0,0.08); display: block; }\r\n.sb-img-caption { font-size: 13px; color: #888; margin-top: 0.5rem; text-align: center; font-style: italic; }\r\n.sb-note { background: #fffbea; border: 1px solid #f0e28a; border-radius: 8px; padding: 1rem 1.25rem; margin: 1rem 0 1.5rem; font-size: 14px; color: #5a4a00; }\r\n.sb-cta { background: #e6f1fb; border: 1px solid #b5d4f4; border-radius: 10px; padding: 1.5rem; margin: 2.5rem 0 0; text-align: center; }\r\n.sb-cta p { margin: 0 0 1rem; font-size: 15px; }\r\n.sb-cta-btn { display: inline-block; background: #185fa5; color: white; padding: 10px 24px; border-radius: 6px; text-decoration: none; font-size: 14px; font-weight: 500; }\r\n.sb-cta-btn:hover { background: #0c447c; }\r\n<\/style>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5f186a1 e-flex e-con-boxed e-con e-parent\" data-id=\"5f186a1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Web scraping 9 min read \u00a0\u00b7\u00a0 Published: 07\/05\/2026 LinkedIn Scraping API: Extract Profiles, Companies and Jobs with ScrapingBot ScrapingBot&#8217;s LinkedIn scraping API gives developers programmatic access to public LinkedIn data \u2014 profiles, company pages, and job listings \u2014 in structured JSON format, without dealing with rate limits, login walls, or bot detection. This guide covers [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":6054,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1,6],"tags":[],"class_list":["post-5400","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","category-web-scraping-in-general"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>LinkedIn Scraping API \u2014 Extract Data with ScrapingBot<\/title>\n<meta name=\"description\" content=\"ScrapingBot&#039;s LinkedIn scraping API extracts profiles, companies and jobs in clean JSON \u2014 no blocking, free trial available.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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