LinkedIn Jobs Scraper — Search, Filter & Full Details

Collect LinkedIn job listings at scale by keyword and location — no login, no cookies, no account needed. Get the full job details: company, location, salary, posting date, seniority, employment type, job function, industries, applicant count, the complete job description, and the apply link.

Export everything to JSON, CSV, or Excel, or pull it straight from the API.

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What you get per job

Field	Example
title	Senior Software Engineer
company / companyUrl	Notion · linkedin.com/company/notion
location / isRemote	San Francisco, CA · true
salary	$150,000/yr – $190,000/yr (when listed)
postedDate	2026-06-01
seniority	Mid-Senior level
employmentType	Full-time
jobFunction	Engineering and Information Technology
industries	Software Development
applicants	177
descriptionText / descriptionHtml	Full job description
companyLogo, url, jobId	…

How to use it

1. Add one or more search keywords (e.g. software engineer, registered nurse).
2. Set a location (e.g. United States, London, Remote) — or several under Locations to collect more.
3. (Optional) Filter by date posted, job type, experience level, remote/on-site.
4. Run it. Results stream into the dataset as they're found.

Get more than ~1,000 jobs per search

LinkedIn caps any single search at roughly 1,000 results. Two ways to go bigger:

• Locations — add multiple cities/regions; every keyword runs against each.
• Maximize per location — use "Maximize results per location" to re-run the same search across experience levels, job types, date windows, etc. and merge the unique results (several times more for a single location).

Filters

• Date posted — past 24 hours / week / month
• Job type — full-time, part-time, contract, temporary, internship, …
• Experience level — internship → executive
• Remote / on-site — remote, on-site, hybrid
• Sort by — most relevant or most recent

Input example

{
  "queries": ["software engineer"],
  "location": "United States",
  "datePosted": "week",
  "experienceLevel": ["mid-senior level"],
  "scrapeDescription": true,
  "maxItems": 1000
}

Output example

{
  "jobId": "4406118990",
  "title": "Software Engineer, New Grad",
  "company": "Notion",
  "companyUrl": "https://www.linkedin.com/company/notion",
  "location": "San Francisco, CA",
  "isRemote": false,
  "postedDate": "2026-06-01",
  "salary": null,
  "seniority": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "applicants": 200,
  "descriptionText": "Who We Are\nNotion is the collaborative workspace…",
  "url": "https://www.linkedin.com/jobs/view/software-engineer-new-grad-at-notion-4406118990"
}

Notes

• No login or cookies required — only public job data is collected.
• A proxy is recommended at higher volume (the default works out of the box); you can also plug in your own proxies.
• salary is only present when the employer publishes it on the listing.
• Built to be reliable: failed fetches are automatically retried so your dataset comes back complete.

FAQ

Do I need a LinkedIn account? No. It only reads public listings.

Can it get full descriptions? Yes — on by default. Turn it off for a lighter, faster export of the core fields.

Which countries? Any LinkedIn location — US, UK, EU, remote, worldwide.

What formats can I export? JSON, CSV, Excel, HTML table, or via API.