LinkedIn Jobs Scraper Pro — Company Enrichment & Recruiter Contacts

Scrape LinkedIn jobs from search URLs, keywords, or company pages without a cookie or login. Each row ships parsed salary, skill array, seniority tier, Easy Apply flag, recruiter contact, and direct apply URL. Optional company enrichment pulls industry, size, headcount range, founded year, and headquarters. City splitting breaks past LinkedIn's 1000 result cap. Pay per row.

Built for technical recruiters, sales teams selling to tech buyers, M&A scouts watching hiring velocity, comp researchers benchmarking pay bands, and founders vetting competitor hiring pipelines.

Keywords this actor ranks for: linkedin jobs scraper, linkedin jobs api, scrape linkedin jobs no login, linkedin jobs search url scraper, linkedin company jobs scraper, linkedin recruiter contact scraper, linkedin job skills scraper, linkedin jobs to JSON, linkedin jobs to CSV, linkedin salary scraper, linkedin hiring tracker, linkedin jobs by company, linkedin recruiter intel, easy apply detection, linkedin jobs API alternative.

---

Why this actor

Other LinkedIn jobs scrapers	This actor
Single input mode (keywords or URL only)	Three modes: search URLs, keywords, OR company URLs
Raw description, no parsing	Parsed salary, 250+ skill array, seniority tier, Easy Apply flag
1000 result cap leaves you stuck	City splitting breaks past the cap automatically
No company context	Optional enrichment with industry, size, headcount, founded, HQ, hiring velocity
No recruiter info	Optional recruiter name, title, and profile URL pulled from the job page
No direct apply URL	Direct apply URL extracted when the company uses an external ATS

---

How it works

flowchart LR
    A[Search URL<br/>OR keywords<br/>OR company URL] --> B[Parse filters<br/>+ optional city split]
    B --> C[LinkedIn guest listing<br/>seeMoreJobPostings]
    C --> D[Extract job IDs]
    D --> E[Job detail page<br/>jobPosting/id]
    E --> F[Parse + enrich<br/>salary skills seniority<br/>Easy Apply recruiter]
    F --> G[One row per job]
    F --> H[Optional company<br/>about page]
    H --> I[One row per company]
    G --> J[(JSON CSV API)]
    I --> J

No cookie at any stage. Works against the same public guest endpoints Google uses when indexing jobs. Filters from your search URL flow straight through.

---

What you get per row

flowchart LR
    R[Job row] --> R1[Identity<br/>id title url]
    R --> R2[Company<br/>name slug companyUrl]
    R --> R3[Apply<br/>easyApply directApplyUrl]
    R --> R4[Compensation<br/>salaryMin salaryMax currency period]
    R --> R5[Signals<br/>seniorityTier remote applicants]
    R --> R6[Skills<br/>250+ term match]
    R --> R7[Recruiter<br/>name title profileUrl]

Each unique company can also push as its own row with kind: "company", carrying industry, headcount range, founded year, headquarters, specialties, and follower count.

---

Quick start

Paste a search URL from your browser

{
  "searchUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=software%20engineer&location=United%20States&f_TPR=r604800"
  ],
  "maxJobs": 100,
  "scrapeCompanyDetails": true
}

Watch every job at three target companies

{
  "companyUrls": [
    "https://www.linkedin.com/company/openai/",
    "https://www.linkedin.com/company/anthropic/",
    "https://www.linkedin.com/company/databricks/"
  ],
  "scrapeCompanyDetails": true,
  "scrapeRecruiterContact": true
}

High volume run with city splitting (breaks past the 1000 cap)

{
  "keywords": ["staff software engineer"],
  "splitByCity": true,
  "country": "United States",
  "maxJobs": 5000,
  "scrapeCompanyDetails": false
}

Recruiter sourcing run with recruiter contact extraction

{
  "searchUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=product%20manager&location=California"
  ],
  "scrapeRecruiterContact": true,
  "maxJobs": 200
}

---

Sample output

Job row

{
  "kind": "job",
  "id": "4406118990",
  "url": "https://www.linkedin.com/jobs/view/4406118990/",
  "title": "Software Engineer, New Grad",
  "company": "Notion",
  "companySlug": "notionhq",
  "companyUrl": "https://www.linkedin.com/company/notionhq",
  "location": "San Francisco, CA",
  "remote": "onsite",
  "postedAt": "2026-04-24T21:22:48.000Z",
  "applicants": 200,
  "easyApply": false,
  "directApplyUrl": null,
  "applyUrl": "https://www.notion.com/careers/...",
  "seniorityLevel": "Entry level",
  "seniorityTier": "entry",
  "employmentType": "Full-time",
  "salaryMin": 126000,
  "salaryMax": 146000,
  "salaryCurrency": "USD",
  "salaryPeriod": "annual",
  "skills": ["claude", "css", "elasticsearch", "figma", "javascript", "mongodb", "mysql", "node.js", "openai", "postgresql", "python", "react", "typescript"],
  "experienceYearsMin": null,
  "scrapedAt": "2026-04-26T08:00:00.000Z"
}

Company row (when scrapeCompanyDetails is on)

{
  "kind": "company",
  "slug": "notionhq",
  "url": "https://www.linkedin.com/company/notionhq/",
  "name": "Notion",
  "tagline": "One workspace. Every team.",
  "industry": "Software Development",
  "size": "1,001-5,000 employees",
  "headcountMin": 1001,
  "headcountMax": 5000,
  "founded": 2013,
  "headquarters": "San Francisco, California",
  "specialties": ["productivity", "collaboration", "knowledge management"],
  "followers": 245000,
  "scrapedAt": "2026-04-26T08:00:00.000Z"
}

Recruiter contact (when scrapeRecruiterContact is on, attached to job row)

{
  "recruiter": {
    "name": "Jane Doe",
    "title": "Senior Technical Recruiter",
    "profileUrl": "https://www.linkedin.com/in/janedoe/"
  }
}

---

Who uses this

Role	Use case
Technical recruiter	Watch open reqs at target companies. Pull the recruiter contact directly from the job page.
Sales team	Spot companies hiring roles that imply need for your product (Snowflake hiring = data warehouse migration).
Comp researcher	Benchmark pay bands by title, seniority, geography, and skill stack across thousands of jobs.
M&A scout	Track hiring velocity at private companies. Combine job count with company size for a growth signal.
Founder	Watch a competitor's open reqs as a real time pipeline of strategy and team shape.
BI analyst	Pipe parsed salary, skills, and seniority into a dashboard or warehouse.

---

Input reference

Field	Type	What it does
searchUrls	string[]	LinkedIn jobs search URLs from your browser.
keywords	string[]	Alternative to URLs. Each keyword runs as its own search.
locations	string[]	Locations combined with keywords.
companyUrls	string[]	LinkedIn company URLs to find every open job at the firm.
maxJobs	integer	Hard cap on jobs returned. 0 means everything LinkedIn exposes.
experienceLevel	enum	internship, entry, associate, mid-senior, director, executive.
jobType	enum	full-time, part-time, contract, temporary, volunteer, internship.
remoteFilter	enum	onsite, remote, hybrid.
postedSince	enum	1d, 1w, 1m.
splitByCity	boolean	Split each search across the top cities of the country to break past the 1000 cap.
country	enum	Country whose top cities are used when splitByCity is on.
scrapeCompanyDetails	boolean	Pull each unique company's about page.
scrapeRecruiterContact	boolean	Extract recruiter name, title, and profile URL.
extractSkills	boolean	Scan description for 250+ skills across tech, business, and soft.
parseSalary	boolean	Parsed salary range, currency, and period.
classifySeniority	boolean	Map title to one of ten seniority buckets.
detectEasyApply	boolean	Flag Easy Apply vs external ATS jobs.
dedupe	boolean	Skip job IDs from previous runs.
concurrency	integer	Pages processed in parallel.
proxyConfiguration	object	Apify proxy. Residential is required at scale.

---

API call

curl -X POST \
  "https://api.apify.com/v2/acts/YOUR_USER~linkedin-jobs-scraper-pro/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchUrls": ["https://www.linkedin.com/jobs/search/?keywords=staff%20engineer&location=California"],
    "maxJobs": 200,
    "scrapeCompanyDetails": true
  }'

---

Pricing

The first few rows per run are free so you can validate output. After that, each job row is charged. Company rows and recruiter rows are billed separately and only when those toggles are on, so the base cost stays low when you only need job data.

---

FAQ

Do I need a LinkedIn account or cookie?

No. The actor only touches LinkedIn's public guest endpoints, the same ones Google uses to index public job listings.

What is the difference between this and a basic LinkedIn jobs scraper?

This one accepts three input modes (search URLs, keywords, company URLs), splits searches by city to break past the 1000 result cap, enriches with company about page data, extracts recruiter contact info, parses salary and skills on every row, and detects Easy Apply vs external ATS jobs.

How does the search URL input work?

Open LinkedIn jobs in incognito, set your filters (location, experience, posted in last week, remote), and copy the URL. The actor parses query parameters and runs the same filters against the public guest API.

Why does LinkedIn cap results at about 1000 per search?

That is a LinkedIn product limit on the guest search API. Turn on splitByCity and the actor splits each keyword across the top cities of your chosen country. Twenty cities means up to 20,000 results before the cap kicks in per city.

How accurate is the salary parser?

Strong on jobs that publish a range in the description (mandatory under California, New York, Washington, and Colorado pay transparency laws). Currency support: USD, EUR, GBP, CAD, AUD, INR, CHF. Plausibility checks reject outliers like gift card amounts. Jobs without a published range return salaryMin: null.

What does Easy Apply detection actually catch?

Jobs that route through LinkedIn's one click apply flow, which typically receive 3 to 5 times more applicants than jobs that link to an external ATS. Recruiters use this signal to spot lower competition reqs. Sales teams use it to spot companies still using LinkedIn's funnel vs a custom ATS like Greenhouse or Lever.

Where does the recruiter contact come from?

The "Meet the hiring team" block on the job detail page. Some jobs show the in house recruiter, some show the hiring manager, and some show neither. Turn on scrapeRecruiterContact and rows with this block populate the recruiter field.

Can I track every open role at a target company?

Yes. Paste the company URL into companyUrls. The actor walks every active job posting at that company and returns each as a job row. Combined with scrapeCompanyDetails, you also get one company row with size, industry, founded, and HQ.

Can I run this on a schedule?

Yes. Use the Apify scheduler for hourly, daily, or weekly runs. Combined with dedupe: true, only new job IDs are pushed. Great for competitor hiring watch and recruiter alerting.

Is scraping LinkedIn allowed?

This actor reads HTML any anonymous web visitor can see. Respect LinkedIn's terms and rate limit sensibly. Do not redistribute job descriptions or recruiter contact info you have no lawful basis to publish.

---

Related actors

• LinkedIn Hiring Tracker & Salary Intelligence — keyword driven version with deeper salary parsing and tech stack focus
• LinkedIn Profile & Company Post Tracker — public LinkedIn posts without a cookie, with reactions and comments
• TripAdvisor Property Rank Tracker — daily rank, rating drift, and competitor signals for hotels and restaurants
• Website Content Crawler — websites to clean Markdown with token counts and RAG ready chunks
• Reddit Brand Monitor & Lead Finder — subreddit mentions and high intent leads