LinkedIn Jobs Scraper

Extract public LinkedIn job listings at scale — by keywords, location, and filters.

The LinkedIn Jobs Scraper collects structured job data from public LinkedIn job pages: title, company, location, posted date, and optional full job details such as description, seniority level, employment type, job function, industries, and applicant count. It is built for recruiters, talent sourcers, job-market researchers, salary benchmarking, and teams building job boards.

⚡ Quick start

Search by keywords and location:

{
  "keywords": "software engineer",
  "location": "United States",
  "maxItems": 5
}

Or start from a ready-made LinkedIn job search URL:

{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/jobs/search/?keywords=software%20engineer&location=United%20States"
    }
  ],
  "maxItems": 5
}

🧩 Input

Field	Type	Required	Default	Description
startUrls	array	one of startUrls / keywords / location	—	LinkedIn job search URLs to scrape.
keywords	string	one of startUrls / keywords / location	—	Job title or keywords to search for.
location	string	one of startUrls / keywords / location	—	Location to search jobs in.
experienceLevel	string	no	any	internship, entry, associate, mid-senior, director, or executive.
jobType	string	no	any	full-time, part-time, contract, temporary, internship, or volunteer.
workplaceType	string	no	any	on-site, remote, or hybrid.
datePosted	string	no	any	past-24h, past-week, or past-month.
sortBy	string	no	relevance	relevance or recent.
scrapeJobDetails	boolean	no	true	Open each job to collect the full description and detail fields.
scrapeCompanyDetails	boolean	no	true	Include company name, profile URL, and logo.
maxItems	integer	no	5	Maximum jobs per search.
proxyConfiguration	object	no	{ "useApifyProxy": true }	Apify proxy settings.

Provide either startUrls, or a combination of keywords and location.

📤 Output

Each scraped job is pushed to the dataset as one record.

Fields

Field	Type	Description
id	string | null	LinkedIn job posting ID.
title	string | null	Job title.
company	string | null	Company name.
companyUrl	string | null	Company profile URL.
companyLogo	string | null	Company logo URL.
location	string | null	Job location.
postedDate	string | null	Date the job was posted.
jobUrl	string | null	Public LinkedIn job view URL.
seniorityLevel	string | null	Seniority level (when job details are scraped).
employmentType	string | null	Employment type (when job details are scraped).
jobFunction	string | null	Job function (when job details are scraped).
industries	string | null	Industries (when job details are scraped).
applicantsCount	number | null	Number of applicants (when job details are scraped).
descriptionText	string | null	Full job description as plain text.
descriptionHtml	string | null	Full job description as HTML.
searchUrl	string | null	The search URL the job was found through.

💡 Use cases

• Recruiters & sourcers build candidate pipelines from live job demand.
• Researchers analyze hiring trends, in-demand roles, and locations.
• Salary & market benchmarking across companies and seniority levels.
• Job boards & aggregators keep listings fresh by keyword and region.

❓ FAQ

• Do I need a LinkedIn login? No. The scraper only collects public job data.
• What can I scrape? Public LinkedIn job listings by keywords, location, and filters, or directly from search URLs.
• Why is a proxy recommended? LinkedIn rate-limits aggressively, so running with the Apify Proxy improves reliability.
• What if LinkedIn changes its site? We maintain the scraper and update it when major changes affect functionality.

🔗 More scrapers by Anyx

• Apify Store - Anyx Solutions
• Google Jobs
• Jobindex.dk - Denmark
• Glassdoor.com
• Indeed.com

🤝 Anyx Solutions

Anyx Solutions is an Apify Partner. We build custom scrapers and data-extraction pipelines.

• Email: tantosthor@gmail.com