Job scraping API Python Client
Extract job scraping data with our job scraping API Python client. Get programmatic access to company names, job descriptions, job titles, locations, salaries, and more using simple Python code. Start free, no credit card required.

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Integrate our job scraping API
The Apify API client for Python is the official library that allows you to use job scraping API in Python, providing convenience functions and automatic retries on errors. Get started with simple pip installation and robust error handling built-in.
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 Python client
Use our Python API client to extract LinkedIn job data by providing job title and location parameters. The API returns structured data, including 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.
Install Apify Python client02
Install the Apify Python client using pip: pip install apify-client. This package provides a simple interface to interact with job scraping API from your Python applications.
Get your Apify API token03
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 API04
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. Use the provided Python code examples to integrate job scraping API into your Python application.
Get your job scraping data via API05
The job scraping API returns structured JSON data that works perfectly with pandas, NumPy, and other Python data analysis libraries.

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Python-ready job scraping data extraction
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No, there is no official LinkedIn Jobs Python API client 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 Python API client for free! Apify offers free usage credits for new users, allowing you to test the Python API client 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 through the Python API client 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 returned in JSON, CSV, or HTML formats.
Yes, it is legal to scrape publicly available LinkedIn job data using Python API clients. These Python tools only access 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 with our job scraping Python API is easy — simply create a free Apify account, get your API token, and start using the job scraping API in Python, JavaScript, CLI, cURL, OpenAPI, or MCP.