LinkedIn Jobs Scraper

Scrape public job postings from LinkedIn without a login: keyword searches, pasted search URLs, company job pages, or a list of job URLs. Every listing comes back as structured JSON with title, company, location, normalized salary and posted date.

• Full details by default: description, seniority, industry, applicant count and hiring manager on every job. Set includeJobDetails: false for fast SERP-only mode, measured at 1.1 to 1.6 jobs per second at 128 MB (table further down).
• Company URL scraping: paste a linkedin.com/company/.../jobs URL in startUrls to pull one employer's open roles.
• Per-day age filter: postedWithinDays accepts any number of days, not just 1, 7 or 30.
• Company data: funding rounds, last round, Crunchbase URL, featured employees and latest company updates (with includeCompanyDetails).

Quick start. Pass this input (an empty {} input also works and runs this same search with 15 results and full details):

{ "searchQueries": ["Software Engineer"], "location": "Berlin", "maxResults": 10 }

{
  "id": "4371481846",
  "title": "Senior Software Engineer, Checkout",
  "company": "GetYourGuide",
  "location": "Zurich, Zurich, Switzerland",
  "country": "CH",
  "employment_type": "full-time",
  "easy_apply": false,
  "apply_url": "https://www.linkedin.com/jobs/view/4371481846",
  "posted_at": "2026-03-09"
}

Price: $0.001 per result, so Apify's $5 free monthly credit covers 5,000 job listings.

Pairs naturally with our Indeed, Jobrapido, StepStone, Jobs.ch, Karriere.at, and Pracuj.pl scrapers for full multi-source coverage.

What you get

• Global coverage across every LinkedIn region, with auto-detected ISO country codes for 40+ countries.
• Four modes: keyword search, SERP-only bulk mode, paste a LinkedIn search URL, or re-check a list of specific job URLs.
• City-level expansion when a whole country is specified, so you can bypass LinkedIn's ~990-result-per-query ceiling and pull thousands of results in one run.
• Structured salary: salary_min, salary_max, salary_currency, salary_period parsed from raw text.
• Multi-query search with automatic cross-query deduplication and per-query limits.
• Rich job data: title, company, location, description, seniority, industry, job function, applicant count, company logo.
• Hiring manager: poster name, title, and LinkedIn profile URL from detail pages.
• Company enrichment: type, founded year, headquarters, follower count, specialties, employee count, website, description, funding data, featured employees, and latest updates. Fetched once per unique company and applied to every job from that employer.
• Funding intelligence: total rounds, last round type, date, amount, and Crunchbase URL, straight from the company profile.
• Featured employees: name and LinkedIn URL of the visible (non-blurred) employee cards on the company page. Useful for finding key contacts per company.
• Company updates: up to 5 recent posts from the company's LinkedIn feed.
• Status detection: online, expired, or offline in direct-URL mode.
• Swiss canton detection: automatic ZH / BE / GE mapping for CH jobs.
• Posted date normalized to ISO-8601.
• Advanced filters: date posted (per-day precision via postedWithinDays), job type, experience level, remote/hybrid/on-site, Easy Apply, Early Applicant (fewer than 10 applications).

Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client, including Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, and custom agents.

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/linkedin-scraper

Example prompt once connected:

"Use linkedin-scraper to scrape job listings from LinkedIn. Return results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via add-actor.

Use cases

• Recruitment and sourcing. Monitor open roles by keyword and geography, and build candidate pipelines from employer hiring signals.
• Job aggregators and vertical search. Ingest normalized LinkedIn listings into your own job board, ATS, or talent marketplace.
• Competitor hiring intelligence. Track which companies are hiring for which roles, at which seniority levels, in which locations, week over week.
• Labour-market research. Quantify hiring velocity by industry, role, and region. Build reports on remote-work adoption or senior-level demand.
• Salary benchmarking. Capture salary text when publicly displayed and benchmark by role, seniority, and location.
• Still-alive monitoring. Re-check previously scraped jobs in direct-URL mode to flag expired postings in your own database.

Example output

{
  "id": "4371481846",
  "title": "Senior Software Engineer, Checkout",
  "company": "GetYourGuide",
  "location": "Zurich, Zurich, Switzerland",
  "canton": "ZH",
  "country": "CH",
  "job_status": "online",
  "top_listing": false,
  "actively_hiring": true,
  "easy_apply": false,
  "employment_type": "full-time",
  "seniority_level": "Mid-Senior level",
  "remote_option": "hybrid",
  "salary_text": "$120,000 - $160,000/yr",
  "salary_min": 120000,
  "salary_max": 160000,
  "salary_currency": "USD",
  "salary_period": "year",
  "company_industry": "Technology, Information and Internet",
  "company_employee_count": "501-1000 employees",
  "company_website": "https://www.getyourguide.com",
  "company_type": "Privately Held",
  "company_founded": "2009",
  "company_headquarters": "Berlin, Germany",
  "company_follower_count": "48321",
  "company_specialties": ["Travel", "Tours", "Activities", "Experiences"],
  "company_jobs_url": "https://www.linkedin.com/company/getyourguide-ag/jobs",
  "company_funding_rounds": "8",
  "company_last_funding_type": "Series E",
  "company_last_funding_date": "2019-07-19",
  "company_last_funding_amount": "484,000,000 $",
  "company_crunchbase_url": "https://www.crunchbase.com/organization/getyourguide",
  "company_featured_employees": [
    { "name": "Tao Tao", "url": "https://www.linkedin.com/in/taotao" },
    { "name": "Johannes Reck", "url": "https://www.linkedin.com/in/johannesreck" }
  ],
  "company_latest_updates": [
    { "url": "https://www.linkedin.com/posts/getyourguide_...", "text": "Exciting news from our team..." }
  ],
  "job_function": "Engineering and Information Technology",
  "applicants": "<25",
  "description_snippet": "Get ready for an exciting career with GetYourGuide...",
  "description_full": "Full job description with all details...",
  "posted_at": "2026-03-05T00:00:00.000Z",
  "source_url": "https://www.linkedin.com/jobs/view/4371481846",
  "source_platform": "linkedin",
  "search_query": "Software Engineer",
  "company_url": "https://de.linkedin.com/company/getyourguide-ag",
  "company_logo_url": "https://media.licdn.com/dms/image/company-logo/...",
  "apply_url": "https://www.linkedin.com/jobs/view/4371481846",
  "scraped_at": "2026-03-09T08:30:00.000Z"
}

Speed and cost by mode

Numbers below come from real runs on 2026-07-28 at the default 128 MB memory. Your mileage will vary a bit with network conditions and LinkedIn's rate limits, but the ratios between modes are stable.

Mode	Config	Items	Runtime	Throughput	Cost (at $0.001/result)
SERP only (fast bulk)	includeJobDetails: false	10	9 s	~1.1 jobs/s	$0.011
SERP only (fast bulk)	includeJobDetails: false	50	~30 s	~1.6 jobs/s	$0.051
Full detail search	default	25	43 s	~0.58 jobs/s	$0.026
Start-URL (search)	default	25	46 s	~0.54 jobs/s	$0.026
Start-URL (company jobs page)	includeCompanyDetails: true	15	43 s	~0.35 jobs/s	$0.016
Direct-URL check	3 URLs, enrichment on	3	7 s	~0.43 jobs/s	$0.004
Large search + full enrichment	100 results, everything on	100	7 min	~0.24 jobs/s	$0.101

Reading the table:

• SERP-only mode is roughly 3-5x faster than the default because it skips the per-job detail fetch. Use it for market scans where title + company + location + logo is enough.
• Full-detail mode adds one HTTP request per job to pull the full description, employment type, applicant count, and hiring-manager fields.
• Company enrichment adds one HTTP request per unique company with a 1 s courtesy delay. A 100-job run from 80 distinct employers adds roughly 80 s of runtime.
• Direct-URL mode is the cheapest way to re-check existing job IDs, because it skips search entirely.

How to use

Pick one of four modes, configure filters, run.

Mode 1: Fast keyword search (includeJobDetails: false)

Returns title, company, location, logo, posted date, and normalized salary for every listing at roughly 1-2 jobs per second. Set includeJobDetails: false (and leave includeCompanyDetails off) to run in this mode.

{
  "searchQueries": ["Software Engineer", "Data Scientist"],
  "location": "Switzerland",
  "postedWithinDays": 7,
  "maxResultsPerQuery": 100
}

Specifying a whole country ("location": "Germany" or "country": "DE") automatically expands to major cities like Berlin, Munich, Hamburg, Frankfurt, and more. This bypasses LinkedIn's ~990-result-per-query ceiling and pulls thousands of results in one run.

Mode 2: Full-detail search (opt in for richer data)

This is the default (includeJobDetails: true): every job's detail page is fetched too. Adds the full description, employment type, seniority, industry, job function, applicant count, company info, and hiring manager. Roughly 2-4x slower than Mode 1.

{
  "searchQueries": ["Data Scientist"],
  "location": "Germany",
  "includeJobDetails": true,
  "maxResultsPerQuery": 100
}

Add "includeCompanyDetails": true alongside includeJobDetails to also fetch each employer's company page: founded year, headquarters, follower count, specialties, funding rounds, featured employees, and latest company updates. One extra HTTP request per unique company.

Mode 3: Start URLs (paste your own search URL)

Paste any LinkedIn job search URL directly from your browser. The actor paginates from it and extracts all matching jobs.

{
  "startUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=DevOps+Engineer&location=Netherlands&f_WT=2"
  ],
  "maxResultsPerQuery": 200
}

You can also paste a company jobs page:

{
  "startUrls": [
    "https://www.linkedin.com/company/getyourguide-ag/jobs/"
  ],
  "maxResultsPerQuery": 100
}

Mode 4: Direct URLs (still-alive monitoring)

Pass a list of LinkedIn job URLs. The actor fetches each one and returns the full job data plus a job_status of online, offline, expired, or unknown. Perfect for verifying that jobs in your own database are still live.

{
  "directUrls": [
    "https://www.linkedin.com/jobs/view/3812345678",
    "https://www.linkedin.com/jobs/view/3823456789"
  ]
}

Input parameters

Parameter	Description	Example
startUrls	LinkedIn search URLs pasted from your browser (actor paginates each)	["https://www.linkedin.com/jobs/search/?keywords=..."]
searchQueries	Keywords to search (deduplicated across queries)	["Software Engineer", "Data Engineer"]
searchQuery	Single keyword (legacy, backward compatible)	"Data Scientist"
location	City, region, or country	"Zurich", "Switzerland", "San Francisco Bay Area"
country	Alternative to location, country name or code	"DE", "Germany"
postedWithinDays	Only return jobs posted within the last N days. Uses f_TPR with per-day precision (any integer). Set 0 for no filter.	1, 7, 30
datePosted	Legacy date filter: any, past-24h, past-week, past-month. Prefer postedWithinDays for programmatic use.	"past-week"
sortBy	newest or relevance. NOTE: LinkedIn currently has no sort URL param (removed in 2026 redesign). This input is accepted for fleet-standard compatibility but has no effect on results order. Will be wired when LinkedIn restores the filter.	"newest"
jobType	full-time, part-time, contract, temporary, internship	"full-time"
experienceLevel	entry, associate, mid-senior, director, executive	"mid-senior"
remoteFilter	remote, on-site, hybrid	"remote"
easyApplyOnly	Only return jobs with LinkedIn Easy Apply (f_AL=true). One-click apply without leaving LinkedIn.	true
earlyApplicantOnly	Only return jobs with fewer than 10 applications (LinkedIn's Early Applicant filter, f_EA=true). Useful for standing out by applying early.	true
maxResultsPerQuery	Max results per keyword	100
maxResults	Global cap (0 = unlimited)	500
titleFilter	Comma-separated title terms (case-insensitive substring OR-match). Applied after SERP, before detail fetch. Non-matching jobs are skipped entirely (no billing). Empty disables the filter.	"senior, staff, principal"
includeJobDetails	Fetch full descriptions and structured data from job detail pages	true
includeCompanyDetails	Fetch company profile once per unique employer for type, founded year, headquarters, followers, specialties, funding, featured employees, and latest updates. Requires includeJobDetails.	true
directUrls	List of LinkedIn job URLs (skips search)	["https://..."]
easyApply	Legacy field name for Easy Apply filter. Use easyApplyOnly for new integrations.	true

If none of searchQueries, startUrls or directUrls is set, the actor runs a default search ("Software Engineer" in Berlin, 15 results, full details).

Output fields

Always present: id, title, company, location, country, canton (CH only), job_status, detail_status (ok / failed / null), top_listing, actively_hiring, easy_apply, posted_at, source_url, source_platform, search_query, apply_url, company_url, company_logo_url, scraped_at.

Salary (when publicly shown by the employer): salary_text (raw), salary_min, salary_max, salary_currency (ISO 4217), salary_period (year / month / hour).

With includeJobDetails: true or direct URLs: description_snippet, description_full, description_html (raw HTML), employment_type, seniority_level, company_industry, job_function, applicants, remote_option, company_employee_count, company_website, company_description, job_poster_name, job_poster_title, job_poster_profile_url, job_poster_photo_url.

With includeCompanyDetails: true (requires includeJobDetails): company_type, company_founded, company_headquarters, company_follower_count, company_specialties, company_jobs_url. Also improves fill rates for company_industry, company_employee_count, company_website, and company_description.

Funding (when publicly displayed by the company): company_funding_rounds, company_last_funding_type, company_last_funding_date (ISO-8601), company_last_funding_amount, company_crunchbase_url.

People and activity: company_featured_employees (array of {name, url} for the visible non-blurred employee cards on the company page), company_latest_updates (array of {url, text} for up to 5 recent company posts).

The applicants field is normalized:

LinkedIn shows	Output
"Be among the first 25 applicants"	<25
"95 applicants"	95
"Over 200 applicants"	200+

Pricing

Pay only for what you receive. No monthly fees, no minimum spend. New accounts get $5 free per month, which covers 5,000 results.

Event	Price
Actor start	$0.001
Per job result	$0.001

Realistic examples

• 1,000 search results: about $1.00
• 1,000 jobs with full descriptions: about $1.00
• Still-alive check of 500 URLs: about $0.50

Compare to commercial job-data feeds at EUR 1,000 to 5,000 per month.

Usage

Apify Console

1. Go to the actor page.
2. Fill in searchQueries and location.
3. Click Start. Download the dataset as JSON, CSV, or Excel.

API

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["Software Engineer", "Data Scientist"],
    "location": "Switzerland",
    "maxResultsPerQuery": 100
  }'

Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('santamaria-automations/linkedin-scraper').call({
  searchQueries: ['Data Scientist', 'ML Engineer'],
  location: 'Zurich',
  postedWithinDays: 7,
  includeJobDetails: true,
  maxResultsPerQuery: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Found ${items.length} jobs`);

Still-alive monitoring

const run = await client.actor('santamaria-automations/linkedin-scraper').call({
  directUrls: [
    'https://www.linkedin.com/jobs/view/3812345678',
    'https://www.linkedin.com/jobs/view/3823456789',
  ],
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(job => console.log(`${job.id}: ${job.job_status}`));

Precision title filter

Returns only senior-track listings whose title contains "senior", "staff", or "principal" (case-insensitive substring match). Non-matching SERP rows are dropped before the detail-fetch step, so you don't pay for job-detail events on jobs you don't want.

{
  "searchQueries": ["software engineer"],
  "titleFilter": "senior, staff, principal",
  "location": "United States",
  "postedWithinDays": 7,
  "maxResults": 50
}

Example matched titles: "Senior Software Engineer, Backend", "Staff Engineer (Platform)", "Principal Software Engineer".

Scheduled daily use case

Run on a daily schedule to pull only the jobs posted in the last 24 hours. Combine with Easy Apply or Early Applicant filters to surface the highest-signal listings for outreach or alerts.

{
  "searchQueries": ["Software Engineer"],
  "location": "Germany",
  "postedWithinDays": 1,
  "easyApplyOnly": false,
  "earlyApplicantOnly": true,
  "maxResultsPerQuery": 200
}

Set postedWithinDays: 7 if you run weekly instead. The filter uses LinkedIn's f_TPR=r<seconds> URL parameter with per-day precision, so postedWithinDays: 3 gives you exactly the past 3 days, not rounded to a week bucket.

FAQ

Do I need to log in or provide a LinkedIn account? No. The actor only uses LinkedIn's public job search, the same pages LinkedIn shows visitors without an account. Nothing behind the login wall.

Which countries are supported? Every country LinkedIn serves. Country codes are auto-detected for 30+ locales including DACH (AT, CH, DE), EU (FR, IT, ES, NL, BE, PL, PT, SE, NO, DK, IE, FI, and more), UK, US, Canada, Australia, India, Singapore, Japan, Brazil, and Mexico.

How large can a single search go? LinkedIn caps search at roughly 1,000 results per query. When you specify a country ("location": "Germany" or "country": "DE"), the actor automatically expands to all major cities, giving you thousands of results per keyword in a single run.

Are salary fields always populated? Salary is only available when LinkedIn publicly displays it on the listing, which varies by employer and country. It is much more common in US listings than in EU ones.

How much does company enrichment slow things down? One extra HTTP request per unique company, with a 1-second delay between requests. A search returning 100 jobs from 80 distinct companies adds roughly 80 seconds to the run.

What happens if I start the actor with no input? It runs a small default search ("Software Engineer" in Berlin, up to 15 results, full details) so you see real output right away. Provide searchQueries, startUrls or directUrls to run your own search.

Limitations

• If LinkedIn rate-limits or blocks a search (HTTP 429 or 999 on every retry, or a sign-in wall), that search ends and the log says Query 'X': rate-limited or blocked by LinkedIn after N jobs. Jobs already saved stay in the dataset. If every search is rate-limited or blocked and no job was saved, the run fails with a clear status message and only the start fee is charged. If some jobs were saved, the run succeeds and the status message says how many searches were rate-limited or blocked and that results may be incomplete. Rows are charged only for jobs saved. Try again later or with fewer queries.
• LinkedIn caps search at ~1,000 results per keyword per location. Country-level inputs trigger automatic city expansion to work around this ceiling.
• Some fields (salary, company website, employee count) depend on what the employer chose to publish and may be null.
• Job-poster fields are not exposed on every listing. Availability depends on LinkedIn's public pages.
• Only publicly accessible listings are scraped. Nothing behind LinkedIn authentication.

Legal notice

This actor scrapes only publicly available job postings from LinkedIn's public job search (no login required, no data behind the authentication wall). Users are responsible for ensuring their use complies with LinkedIn's Terms of Service and applicable laws in their jurisdiction.

Issues and feedback

Facing an issue or need an extra field? Open an issue on the Issues tab. We respond within 24 hours and welcome feature requests.

Related Actors

Complete your global job-board coverage with our full suite:

• Indeed Scraper, a global job aggregator.
• Jobrapido Scraper, multi-country aggregator (DACH + 50 countries).
• StepStone.de Scraper, a German job board.
• Jobs.ch Scraper, a Swiss job site.
• Karriere.at Scraper, an Austrian job board.
• Arbeitsagentur.de Scraper, German Federal Employment Agency.
• Stellenanzeigen.de Scraper, German national job board.
• Pracuj.pl Scraper, a Polish job site.
• Naukri Scraper, an Indian and Gulf job board.
• Computrabajo Scraper, a Latin American job board (19 countries).
• Seek Scraper, Asia-Pacific job board (Australia, New Zealand, and 6 more countries).

Enrich your job data:

• Website Job Extractor, pull jobs straight from company career pages.
• Website Contact Extractor, emails and phones from company websites.

Or browse all santamaria-automations actors for the full scraping suite.