job scraping API
Our job scraping API gives you programmatic access to job scraping data that isn't available through any official API. Get data on job titles, company names, locations, salaries, job descriptions, and more. And the best part? You can try the job scraping API entirely for free, no credit card required.

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Integrate our job scraping API
Access the job scraping API using Python, JavaScript, CLI, cURL, OpenAPI, or MCP. Choose your preferred option and start extracting job scraping 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 = {9 "urls": ["https://www.linkedin.com/jobs/search/?position=1&pageNum=0"],10 "count": 100,11}12
13# Run the Actor and wait for it to finish14run = client.actor("curious_coder/linkedin-jobs-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 job scraping API
Extract LinkedIn job data by providing job title and location parameters. The LinkedIn Jobs Scraper API returns structured JSON data with job titles, company names, locations, salaries, job descriptions, posting times, and company details.
Input
{ "urls": [ "<https://www.linkedin.com/jobs/search/?position=1&pageNum=0>" ], "count": 100, "scrapeCompany": true}
Output
{ "_fromStrapi": true, "id": "3692563200", "link": "<https://www.linkedin.com/jobs/view/english-data-labeling-analyst-at-facebook-3692563200?refId=WG865nttvc0AIFSWNZZS8w%3D%3D&trackingId=wcG3vxpHJfGtFUkaaMVelQ%3D%3D&position=1&pageNum=0&trk=public_jobs_jserp-result_search-card>", "title": "English Data Labeling Analyst", "applyUrl": "", "benefits": [ "Actively Hiring" ], "location": "Los Angeles Metropolitan Area", "postedAt": "2023-08-16", "industries": "Retail Office Equipment", "salaryInfo": [ "$17.00", "$19.00" ], "companyLogo": "<https://media.licdn.com/dms/image/C4E0BAQHi-wrXiQcbxw/company-logo_100_100/0/1635988509026?e=2147483647&v=beta&t=pKAh1a653MsJvWqrqxSunoCVUALyq29eXX1oqobspnE>", "companyName": "Facebook", "jobFunction": "Other", "jobPosterName": "Andrea Cowan", "companyWebsite": "<https://www.meta.com>", "employmentType": "Contract", "jobPosterPhoto": "<https://media.licdn.com/dms/image/C5603AQErv53vemaq_A/profile-displayphoto-shrink_100_100/0/1657753132661?e=1699488000&v=beta&t=5R1WgyX-TbL6qhhsntBeR5qmjKdTL5G2l2KtroVTntM>", "jobPosterTitle": "Technical Recruiter at Meta", "seniorityLevel": "Associate", "applicantsCount": "200", "descriptionHtml": "<p>APPROVED REMOTE LOCATIONS:</p><p>Los Angeles, CA, San Fransisco Bay Area, CA, San Diego, CA, New York, NY, Denver, CO, Houston, TX, Seattle, WA.</p><p><br></p><p>Summary:</p><p>The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.</p><p><br></p><p>Job Responsibilities:</p><p>• Create and modify data labels ensuring compliance to all regulatory and legal requirements.</p><p>• Maintain batch records, room logs, product travelers, and inventory records.</p><p>• Label and analyze large data sets to inform product decisions.</p><p>• Asses data quality.</p><p><br></p><p>Skills:</p><p>• Ability to identify trends within large data sets.</p><p>• Excellent communication skills, verbal and written.</p><p>• Problem solving skills.</p><p>• Team oriented with attention for detail.</p><p><br></p><p>Education/Experience:</p><ul><li>• Bachelors degree in related field.</li></ul>", "descriptionText": "APPROVED REMOTE LOCATIONS:Los Angeles, CA, San Fransisco Bay Area, CA, San Diego, CA, New York, NY, Denver, CO, Houston, TX, Seattle, WA.Summary:The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.Job Responsibilities:• Create and modify data labels ensuring compliance to all regulatory and legal requirements.• Maintain batch records, room logs, product travelers, and inventory records.• Label and analyze large data sets to inform product decisions.• Asses data quality.Skills:• Ability to identify trends within large data sets.• Excellent communication skills, verbal and written.• Problem solving skills.• Team oriented with attention for detail.Education/Experience:• Bachelors degree in related field.", "companyDescription": "The Facebook company is now Meta. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. \\n\\nWe want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:\\n\\n• Start with an open mind. Whether you agree or disagree, engage with empathy.\\n• Comments violating our Community Standards will be removed or hidden. So please treat everybody with respect. \\n• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.\\n• Our moderators are here to uphold these guidelines for the benefit of everyone, every day. \\n• If you are seeking support for issues related to your Facebook account, please reference our Help Center (<https://www.facebook.com/help>) or Help Community (<https://www.facebook.com/help/community>).\\n\\nFor a full listing of our jobs, visit <http://www.facebookcareers.com> ", "companyLinkedinUrl": "<https://www.linkedin.com/company/facebook?trk=public_jobs_jserp-result_job-search-card-subtitle>", "jobPosterProfileUrl": "<https://ca.linkedin.com/in/andrea-cowan-458b5423b>", "companyEmployeesCount": 36275}
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 job scraping API03
Navigate to the job scraping 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 job scraping data via API04
Now, you can use the API and get the data you need from job scraping.

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No, there is no official LinkedIn Jobs API for public use. This Apify Actor provides an alternative solution by scraping publicly available LinkedIn job listings, allowing you to extract job data including titles, companies, locations, salaries, and descriptions in a structured format.
Yes, you can try the LinkedIn Jobs Scraper for free! Apify offers free usage credits for new users, allowing you to test the scraper with your desired job titles and locations before committing to a paid plan at $29.99/month plus usage costs.
You can extract comprehensive job data including job titles, company names and logos, job locations, salary information, detailed job descriptions, posting times, number of applicants, job criteria, and links to similar jobs - all exported in JSON, CSV, or HTML formats.
Yes, it is legal to scrape publicly available LinkedIn job data. This scraper only accesses information that is publicly visible on LinkedIn job listings. However, you should always comply with LinkedIn's terms of service and use the data responsibly for legitimate purposes like job searching or market research.
Getting started is simple - just enter your desired job title and location in the input fields, select the number of job listings you want to scrape, then click "Try for free" to run the scraper. The tool will return structured data with all job details in your preferred format within minutes.