LinkedIn Jobs Scraper

LinkedIn Jobs Scraper extracts job listings from LinkedIn — title, company, location, posting date, salary, full description, seniority, employment type, and applicant count — and downloads them as JSON, CSV, Excel, or XML. It runs in the cloud, needs no coding, and no LinkedIn login or API key.

Try it right away: type what you're searching for and where, click Start, and watch the dataset fill up with structured job data.

What data does it extract?

Each result is one job listing:

Data	Details
💼 Job	title, canonical LinkedIn URL, posting date, "time ago", and any badges (e.g. Actively Hiring)
🏢 Company	nested company object: name, LinkedIn page URL, and logo
📍 Location	where the job is based, as shown on LinkedIn
💰 Salary	pay or salary range, when LinkedIn shows one
📋 Details	seniority level, employment type, job function, and industries
👥 Applicants	number of applicants (as a number and as LinkedIn phrases it)
📝 Description	the full job description in both plain text and HTML

How do I scrape LinkedIn jobs?

1. Say what you want — enter Search keywords (a job title or skill) and a Location.
2. Narrow it down (optional) — filter by date posted, experience level, job type, remote/on-site, and distance.
3. Set how many — choose Maximum jobs, or use 0 for as many as LinkedIn returns (capped at ~1,000 per search).
4. Click Start — then download the results from the Storage tab in any format, or send them anywhere with integrations.

Prefer to build the search on LinkedIn yourself? Open linkedin.com/jobs in a private/incognito window, apply your filters, copy the URL from the address bar, and paste it into LinkedIn search URLs. You can add several.

Speed vs. detail

By default the scraper opens each job's page to collect the full description, seniority, employment type, industries, and applicant count. If you only need the essentials shown on the results list (title, company, location, date, and salary when present), turn off Fetch full job details for a much faster, lighter run.

Input example

{
    "keywords": "software engineer",
    "location": "United States",
    "maxItems": 100,
    "datePosted": "pastWeek",
    "experienceLevel": ["entryLevel", "associate"],
    "jobType": ["fullTime"],
    "workplaceType": ["remote", "hybrid"],
    "sortBy": "recent",
    "scrapeCompanyDetails": true
}

You can also drive it entirely from pasted LinkedIn search URLs:

{
    "startUrls": [
        { "url": "https://www.linkedin.com/jobs/search/?keywords=product%20manager&location=United%20Kingdom&f_WT=2&f_JT=F" }
    ],
    "maxItems": 200
}

Output example (abridged)

{
    "id": "4412034983",
    "title": "Software Engineer I",
    "url": "https://www.linkedin.com/jobs/view/4412034983",
    "company": {
        "name": "Sony Interactive Entertainment",
        "url": "https://www.linkedin.com/company/sony-interactive-entertainment-llc",
        "logo": "https://media.licdn.com/dms/image/.../sony_interactive_entertainment_llc_logo"
    },
    "location": "Los Angeles Metropolitan Area",
    "postedDate": "2026-06-11",
    "postedTimeAgo": "2 days ago",
    "salary": null,
    "employmentType": "Full-time",
    "seniorityLevel": "Not Applicable",
    "jobFunction": "Engineering and Information Technology",
    "industries": "Software Development, Consumer Services, and Entertainment Providers",
    "applicantsCount": 200,
    "applicantsText": "Over 200 applicants",
    "benefits": ["Actively Hiring"],
    "descriptionText": "Why Sony Interactive Entertainment? …",
    "descriptionHtml": "<strong>Why Sony Interactive Entertainment?<br><br></strong>…",
    "scrapedAt": "2026-06-14T16:48:34.963Z"
}

Input reference

Field	Type	Description
keywords	string	Job title, skill, or company to search for.
location	string	City, state, country, or region. Leave empty to search worldwide.
maxItems	integer	Total jobs to return across all searches. 0 = no limit. Default 100.
datePosted	string	any, past24h, pastWeek, or pastMonth. Default any.
sortBy	string	relevance (LinkedIn's default ranking) or recent (newest first).
experienceLevel	array	Any of internship, entryLevel, associate, midSenior, director, executive.
jobType	array	Any of fullTime, partTime, contract, temporary, internship, volunteer, other.
workplaceType	array	Any of onSite, remote, hybrid.
radius	integer	Search radius in miles around the location.
companyIds	array	Restrict to specific companies by numeric LinkedIn company ID (the f_C value).
scrapeCompanyDetails	boolean	Open each job page for the full description and details. Default true.
startUrls	array	LinkedIn job-search URLs to scrape, each with its own filters.
proxyConfiguration	object	Proxy settings. Apify Proxy is strongly recommended.

Why scrape LinkedIn jobs?

• Job-market research — track demand for roles, skills, and titles over time.
• Recruiting & sourcing — monitor who's hiring and how competitive each posting is.
• Lead generation — find companies actively hiring in your space.
• Salary benchmarking — gather pay ranges where they're disclosed.

Pricing

This Actor uses pay-per-event pricing: a small fee when a run starts, plus a fee per job delivered. You only pay for the listings you actually receive — set Maximum jobs to control your spend.

Notes

• A proxy (via Apify Proxy) is strongly recommended; LinkedIn rate-limits unproxied scraping and may temporarily block your IP.
• The scraper uses LinkedIn's public job pages — the same data anyone can see without logging in. It does not log in or access private data.
• LinkedIn caps any single search at roughly 1,000 results. To pull more, split your search into narrower queries (by location, date, or job type) or supply multiple search URLs.
• Make sure your use of the data complies with LinkedIn's terms and applicable laws.