LinkedIn Jobs Scraper: Jobs, Salaries and Descriptions

Export LinkedIn job listings by keyword and location into clean data: job title, company, location, salary range when the employer lists one, the full job description, seniority, employment type, job function, industries, applicant count and the date it was posted. It reads the job pages LinkedIn shows to anyone who is not logged in, so there is no login, no cookies and no account to get banned.

A search for "python developer" in London returns jobs like this one in about a second each, salary included when the employer publishes it: Senior Python Backend Software Developer at Xelix, £70,000 to £95,000 a year, full-time, posted 16 hours ago.

Also from Oski: LinkedIn Ad Library Scraper for the ads a company runs on LinkedIn, and UK Decision Maker Finder to name the director behind a hiring company.

What you can use it for

• Recruitment agencies finding companies that are hiring right now, with the role, salary and location, to pitch candidates.
• Job boards and aggregators filling listings for a niche or region, refreshed daily.
• Salary researchers and HR teams benchmarking pay ranges for a role across cities.
• Sales teams using hiring as a buying signal: a company hiring five data engineers is likely buying data tools.
• Job seekers and career coaches tracking every new opening for a role in one spreadsheet.
• Analysts measuring demand for a skill over time, by location and seniority.

How to use it

1. Under Job titles or keywords, add what to search, such as data analyst. Separate several with new lines or commas.
2. Under Locations, add places such as London or United States, or leave it empty for worldwide.
3. Optionally set filters (date posted, remote, job type, experience) and click Start.
4. When it finishes, open the Output tab and download as CSV, Excel or JSON.

While it runs, the status line at the top of the run page shows progress (for example "Search 1 of 4: data analyst | London. 250 jobs so far."). When it finishes, the same line says what was found and explains anything that was skipped, so you never have to read the log.

How much does it cost?

A $0.002 start fee per run, then $0.001 per job with full details, or $0.0005 per job if you switch full details off. Jobs that LinkedIn has removed by the time they are opened are returned for your records and not charged; every row has a charged field so you can see exactly what you paid for.

Jobs with full details	Maths	Cost
100	$0.002 + 100 x $0.001	about $0.10
1,000	$0.002 + 1,000 x $0.001	about $1.00
10,000	$0.002 + 10,000 x $0.001	about $10.00

A full 1,000-job export with descriptions and salaries costs about a dollar, so there is little reason to stop at 100.

Input

Field	What it does
keywords	Job titles, skills or company names. One per line, or separated by commas. Each is searched in every location.
locations	Cities, regions or countries, as you would type them on LinkedIn. Empty means worldwide.
searchUrls	Optional. LinkedIn jobs search URLs pasted from your browser, with all their filters.
maxJobsPerSearch	Jobs per keyword and location search, up to 1,000 (LinkedIn's limit). Default 1,000.
postedWithin	any, past24h, pastWeek or pastMonth.
workplaceTypes	Any of onsite, remote, hybrid.
jobTypes	Any of fulltime, parttime, contract, temporary, internship, volunteer, other.
experienceLevels	Any of internship, entry, associate, midsenior, director, executive.
sortBy	relevance or recent.
includeDetails	On by default. Adds description, salary, criteria and applicants. Off gives a cheaper list.
maxJobs	Advanced. Optional cap across the whole run.
proxyConfiguration	Advanced. Rotating proxy sessions keep large runs moving.

A realistic job, every new remote data role in the UK and US from the past week:

{
  "keywords": ["data analyst", "data engineer"],
  "locations": ["United Kingdom", "United States"],
  "postedWithin": "pastWeek",
  "workplaceTypes": ["remote"],
  "maxJobsPerSearch": 1000
}

Output

One row per job:

{
  "job_id": "4468683827",
  "title": "Senior Python Backend Software Developer",
  "company_name": "Xelix",
  "company_url": "https://uk.linkedin.com/company/xelix.",
  "location": "London, England, United Kingdom",
  "posted_date": "2026-09-17",
  "posted_ago": "16 hours ago",
  "salary_text": "£70,000.00/yr - £95,000.00/yr",
  "salary_min": 70000.0,
  "salary_max": 95000.0,
  "salary_currency": "GBP",
  "salary_period": "year",
  "seniority_level": "Not Applicable",
  "employment_type": "Full-time",
  "job_function": "Engineering and Information Technology",
  "industries": "Software Development",
  "applicants_text": "Be among the first 25 applicants",
  "applicants": null,
  "early_applicant": true,
  "apply_type": "offsite",
  "description_text": "About Us At Xelix, we work with some of the world's largest companies...",
  "job_url": "https://www.linkedin.com/jobs/view/4468683827",
  "search": "python developer | London",
  "details_status": "ok",
  "charged": true
}

Rows also include description_html, company_logo and benefit_badge. Salary fields are filled only when the employer publishes a range on LinkedIn; nothing is estimated. applicants is a number when LinkedIn shows one ("41 applicants"); when it only says "Be among the first 25", the number is left blank and early_applicant is true.

Tips for bigger runs

• LinkedIn caps every search at 1,000 jobs. To go further, add keywords (job title variations) or split a country into cities. Duplicates across searches are removed automatically, so overlap costs nothing.
• Use Date posted: Past 24 hours on a daily schedule to collect only new jobs every day.
• Switch full details off for a quick market scan of titles, companies and locations at half the price, then run details only on the jobs you care about.
• Paste a search URL when you have already tuned filters on LinkedIn, such as a specific company or industry.
• Very vague keywords are topped up by LinkedIn with loosely related jobs; use specific titles for clean results.

Scheduling and integrations

Save a task with your searches and run it daily or weekly on an Apify schedule, then send each run to Google Sheets, a webhook, Make, Zapier or your ATS through Apify's integrations. From your own code:

curl -X POST "https://api.apify.com/v2/acts/oski~linkedin-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data analyst"], "locations": ["London"], "maxJobsPerSearch": 100}'

The sync endpoint waits up to 5 minutes. For big runs, start the run with /runs and read the dataset when it finishes.

If something looks wrong

The status line at the end of every run explains anything that was skipped or came back empty. The common messages:

Message	What to do
Input problem: ...	Something in the input needs changing, and the message says what. The run stopped before anything was charged.
No jobs for "..."	Check the spelling or loosen the filters (a longer date range, any job type).
Skipped a link that is not a LinkedIn jobs search	Run the search on linkedin.com/jobs, then copy the address bar.
N listed jobs had been removed by LinkedIn	Those jobs closed before they could be opened. They are returned for your records and not charged.

Still stuck? Open an issue on the actor page with the run link and it gets looked at quickly.

FAQ

Is it legal to scrape LinkedIn jobs? The actor only reads job listings that LinkedIn publishes to anyone without logging in. It does not log in, does not use cookies and does not collect people's profiles. You are responsible for how you use the data, including respecting privacy law and LinkedIn's terms.

Do I need a LinkedIn account? No. Nothing is signed in to, so there is no account to get restricted.

Why did I get fewer jobs than I asked for? The search may simply have fewer matching jobs, your filters may be narrow, or a keyword and location pair hit LinkedIn's 1,000-job limit. Add more searches to go further.

Why are some salaries empty? Most employers do not publish pay on LinkedIn. Salary fields are filled only when a range is shown.

How fresh is the data? Live. Every run reads LinkedIn at the moment it runs.

What if it breaks? Open an issue on the actor page and it gets fixed fast. Runs retry and rotate proxy sessions when LinkedIn rate-limits, so a busy moment slows a run down rather than failing it.

Other scrapers from Oski

• LinkedIn Ad Library Scraper: every ad a company runs on LinkedIn.
• UK Decision Maker Finder: named directors of UK companies from Companies House.
• Website Contact Finder: emails and phones from a hiring company's website.
• Google Ads Transparency Scraper and Facebook Ad Library Scraper: what a company is advertising.