LinkedIn Jobs Scraper

Extract LinkedIn job postings at scale — no login, no cookies, no account-ban risk.

Collect job data from LinkedIn's public job search — title, company, location, salary, the full description, and rich company details — and export it to JSON, CSV, or Excel. Search by keyword and filters, or just paste a LinkedIn search URL. Because it never logs in, there's no account to get banned.

✨ Features

• 🔍 Search by keyword + filters, or paste LinkedIn search URLs (every filter preserved)
• 🏢 Company details — size, industry, website, HQ, founded year, employee & follower counts
• 💰 Structured salary — parsed into min / max / currency / period
• 🎯 Precise filtering — by title keywords, company, and minimum salary
• 📈 Beyond the 1,000-result cap — split by experience/job/workplace type, or by city/country
• 🔁 Only new jobs — incremental mode for scheduled daily runs
• 🛡️ Reliable — proxy rotation, adaptive throttling, auto-retry, resume on interruption
• 📄 No login required — reads only public, logged-out data

💡 Use cases

• Job boards & aggregators — a fresh feed of postings for a niche or region
• Recruiting & sourcing — see who's hiring for a role, company, or location
• Market & salary research — analyze demand, pay, and hiring trends
• Lead generation — companies actively hiring = a buying signal

🚀 How to use

1. Enter keywords and a location — or paste one or more LinkedIn job-search URLs into searchUrls.
2. (Optional) turn on company details, add filters, or split the search to collect more than 1,000 results.
3. Click Start. Results stream to the dataset, ready to export as JSON, CSV, Excel, or via the API.

Input parameters

Search

Field	Type	Description
searchUrls	array	Paste LinkedIn job-search URLs (from linkedin.com/jobs/search). Overrides the fields below and keeps every filter in the URL. Multiple allowed.
keywords	string	Search terms — job title, skill, or company. Required unless searchUrls is set.
location	string	City, region, or country. Empty = worldwide.
datePosted	enum	any, past24Hours, pastWeek, pastMonth.
jobTypes	array	fullTime, partTime, contract, temporary, internship, volunteer.
workplaceTypes	array	onSite, remote, hybrid.
experienceLevels	array	internship, entryLevel, associate, midSenior, director, executive.
sortBy	enum	recent or relevance ordering.
companyIds	array	Restrict to specific companies by their LinkedIn company ID (the number in a company page URL).
geoId	string	Exact LinkedIn geo ID (advanced) — overrides location.

How much to collect

Field	Type	Description
maxResults	integer	Stop after this many jobs (default 100).
scrapeDetails	boolean	Fetch each job's detail page for the full description and metadata (default true).
scrapeCompany	boolean	Also fetch each company's page for size, industry, website, HQ, etc. (default false).
splitBy	array	Split the query by experienceLevel / jobType / workplaceType to exceed the ~1,000-result cap (see below).
splitByCountry	string	Split across a country's major cities (e.g. United States).
splitLocations	array	Split across your own list of locations (overrides splitByCountry).

Filter the results

Field	Type	Description
titleIncludeKeywords	array	Keep only jobs whose title contains any of these.
titleExcludeKeywords	array	Drop jobs whose title contains any of these (e.g. senior, manager).
excludeCompanies	array	Drop jobs from these companies.
minSalary	integer	Drop jobs whose salary max is below this (jobs with no salary shown are kept).
onlyWithSalary	boolean	Keep only jobs that show a salary.

Incremental & advanced

Field	Type	Description
onlyNewJobs	boolean	Skip jobs seen in previous runs of this Actor (tracked automatically) — ideal for schedules.
skipJobIds	array	Job IDs to exclude (pass a previous run's IDs to get only new postings).
requestDelaySecs	integer	Delay between requests (default 1). Raise if you hit rate limits.
detailConcurrency	integer	Parallel detail-page fetches (default 3).
proxyConfiguration	object	Residential proxy by default (most reliable — LinkedIn heavily blocks datacenter IPs); switch to Datacenter to save cost on small runs.

Example input

{
    "keywords": "data engineer",
    "location": "Berlin, Germany",
    "datePosted": "pastWeek",
    "jobTypes": ["fullTime"],
    "workplaceTypes": ["remote", "hybrid"],
    "maxResults": 200,
    "scrapeCompany": true
}

Output

One item per job:

{
    "jobId": "3801234567",
    "title": "Senior Data Engineer",
    "companyName": "Acme Corp",
    "companyUrl": "https://www.linkedin.com/company/acme",
    "location": "Berlin, Germany",
    "postedAt": "2026-06-25",
    "jobAgeDays": 6,
    "jobUrl": "https://www.linkedin.com/jobs/view/3801234567",
    "description": "We are looking for...",
    "descriptionHtml": "<p>We are looking for…</p>",
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": "Engineering and Information Technology",
    "industries": "Software Development",
    "applicants": 47,
    "salary": "€70,000 - €90,000",
    "salaryMin": 70000,
    "salaryMax": 90000,
    "salaryCurrency": "EUR",
    "salaryPeriod": "yearly",
    "applyType": "offsite",
    "easyApply": false,
    "isActive": true,
    "companyLogo": "https://media.licdn.com/...",
    "scrapedAt": "2026-07-01T12:00:00+00:00",

    "companySize": "501-1,000 employees",
    "companyIndustry": "Software Development",
    "companyWebsite": "https://acme.com",
    "companyHeadquarters": "Berlin, Germany",
    "companyFounded": "2014",
    "companyEmployeesOnLinkedIn": 3506,
    "companyFollowers": 561227
}

The company* fields appear only when scrapeCompany is on. Fields LinkedIn doesn't show (e.g. salary) come back as null. See What guest mode can't see below for the few fields that require a login.

Collecting more than 1,000 results

LinkedIn caps every search at 1,000 results. To collect more, the Actor runs narrower sub-queries — each with its own 1,000 ceiling — and merges and de-duplicates them:

• By filter dimension — splitBy: ["experienceLevel", "jobType"] runs 6 × 6 = 36 sub-queries (~36,000 jobs).
• By location — splitByCountry: "United States" runs the search across major US cities; or pass your own splitLocations. This stacks with splitBy.

Each job is tagged with the sub-query (searchVariant) it came from.

Export & integrations

• Download results as JSON, CSV, Excel, HTML, or RSS.
• Send to Google Sheets, Slack, Google Drive, GitHub, Zapier, Make, or a webhook via the Integrations tab — no code.
• Schedule it (e.g. daily) and pair with onlyNewJobs to get only fresh postings each run.
• API — trigger runs and fetch results from any language via the Apify API or Python/JS clients (see the API tab).

Every record carries scrapedAt and jobAgeDays so you can track freshness.

What guest mode can't see

The Actor reads only public, logged-out data, so a few things LinkedIn hides behind login are not available (and we don't fabricate them):

• External apply URL — LinkedIn shows guests a sign-up wall instead of the real link. We report applyType (offsite / easyApply), but applyUrl is usually null.
• Exact applicant count — guest pages cap it ("Over 200 applicants"), so applicants is a floor.
• Recruiter / job-poster details and required-skill lists — login-only.
• Exact workplace type per job — only set when your query makes it unambiguous.

Unlocking these would require an authenticated session, which violates LinkedIn's Terms of Service — so this Actor deliberately stays login-free.

FAQ

Do I need a LinkedIn account or cookies? No. It reads only public data — nothing to log in with, and no account-ban risk.

Which proxy should I use? Residential (the default) is the most reliable — LinkedIn heavily rate-limits datacenter IPs. Switch to Datacenter to save cost on small, low-volume runs.

How many jobs can I get from one search? LinkedIn caps each query at ~1,000. Use splitBy and splitByCountry / splitLocations to collect far more.

Can I get the external apply link or recruiter details? No — LinkedIn hides those behind login (see What guest mode can't see).

How do I get only new jobs each day? Turn on onlyNewJobs and schedule the Actor — it skips jobs seen in previous runs.

What can I export? JSON, CSV, Excel, HTML, or RSS — via the Console or API.

Is this legal? It scrapes only public data, but scraping LinkedIn is against their Terms of Service. Use it responsibly, keep volume reasonable, and check the laws that apply to you.