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LinkedIn Jobs Scraper

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from $0.90 / 1,000 results

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LinkedIn Jobs Scraper

LinkedIn Jobs Scraper

Try for free

Extract LinkedIn job listings with salary data, company details, full descriptions, and 22+ structured fields per job. Search multiple titles across multiple locations with advanced filters for job type, experience level, remote work, Easy Apply, and posting date. No login required for use.

Pricing

from $0.90 / 1,000 results

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0.0

(0)

Developer

SilentFlow

SilentFlow

Maintained by Community

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8 days ago

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Jobs

Lead generation

Business

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LinkedIn results, 18 fields each, from any title.

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for β€œjd scraper” in Apify Store search), with 800,000+ combined lifetime runs.

Every LinkedIn job listing, structured and ready for analysis. Salary ranges, company details, full descriptions, and 22+ fields per job. Search multiple titles across multiple locations in one run. 50 jobs in under 30 seconds.

How it works

How it works

✨ Why use this scraper?

Spending hours scrolling through LinkedIn job boards? Copy-pasting listings into spreadsheets? Missing salary data because LinkedIn hides it after a few views?

  • πŸ’° Salary when the employer published one, and honest about how often that is. Min, max and currency come back as numbers. Measured on real runs: about 1 posting in 4 on a country-wide United States search, and 10 out of 10 in a pay-transparency market like New York. Search a pay-transparency city or state to fill the column.
  • πŸ” Multi-title, multi-location search. Run "Data Engineer" + "ML Engineer" across "New York" + "London" + "Berlin" in one call. All combinations, deduplicated.
  • πŸ“ Full job descriptions. Complete requirements, responsibilities, and qualifications. Not just the preview card.
  • πŸ“§ Email extraction. Contact emails found in job descriptions are extracted automatically.
  • 🏒 Company details. Name, logo, industry, LinkedIn URL, and direct apply links.
  • ⚑ No login required. Works on public LinkedIn data. No cookies, no account, no API key.
  • πŸ”„ Automatic deduplication. Cross-product searches never return the same job twice.

Try LinkedIn Jobs Scraper

SilentFlow Β· LinkedIn suite
Β Β LinkedIn Job Search Scraper
Salaries & Seniority		Β Β LinkedIn Jobs Scraper
You are here

🎯 Use cases

TeamWhat they build
RecruitersSalary benchmarks by role and city to write competitive offers
Job seekersAutomated job feeds matching specific titles, locations, and experience levels
Sales teamsLists of companies actively hiring in target industries (buying signals)
Market researchHiring trend reports by role, location, and seniority across markets
Data teamsStructured datasets of job market conditions for modeling and analysis
HR analyticsCompetitor job posting monitoring with salary and benefits tracking

πŸ“₯ Input parameters

ParameterTypeDefaultDescription
urlsArrayemptyPaste job links or a LinkedIn job search link. A job link returns that job, a search link runs that exact search and keeps the filters it carries
jobIdsArrayemptyLinkedIn job IDs to open directly, no search involved. The ID is the number at the end of a job link, and whole links work here too
titlesArray["Software Engineer"]Job titles to search. Each title x location runs a separate search
keywordsArrayemptyFree-text keywords matched across job title, skills and description. Searched like the titles above, and combined with them
locationsArray["United States"]Locations to search. Crossed with every title
maxItemsInteger50Maximum number of jobs to return

Filters

ParameterTypeDescription
publishedAtSelectPosted within: Any time, 24 hours, Past week, Past month
contractTypeSelectFull-time, Part-time, Contract, Temporary, Internship, Volunteer
experienceLevelSelectInternship, Entry Level, Associate, Mid-Senior, Director, Executive
workTypeSelectAll, On-site, Remote, Hybrid
easyApplyBooleanOnly return jobs with LinkedIn Easy Apply

πŸ“Š Output data

{
  "id": "4334158613",
  "title": "Software Engineer, Fullstack",
  "companyName": "Notion",
  "companyUrl": "https://www.linkedin.com/company/notionhq",
  "companyLogo": "https://media.licdn.com/dms/image/...",
  "companyIndustry": "Software Development",
  "location": "San Francisco, CA",
  "city": "San Francisco",
  "state": "CA",
  "country": "United States",
  "isRemote": false,
  "jobUrl": "https://www.linkedin.com/jobs/view/4334158613",
  "jobUrlDirect": "https://notion.com/careers/apply/...",
  "datePosted": "2026-04-01",
  "salaryMin": 150000,
  "salaryMax": 220000,
  "salaryCurrency": "USD",
  "jobType": ["Full-time"],
  "jobLevel": "Mid-Senior level",
  "jobFunction": "Engineering and Information Technology",
  "numApplicants": "Over 100 applicants",
  "description": "We are looking for a talented engineer...",
  "emails": ["careers@notion.com"],
  "easyApply": false,
  "scrapedAt": "2026-04-09T10:30:00Z"
}

πŸ—‚οΈ Data fields

CategoryFields
Jobid, title, description, jobUrl, jobUrlDirect, datePosted, numApplicants, easyApply
Job detailsjobType, jobLevel, jobFunction, salaryMin, salaryMax, salaryCurrency
Locationlocation, city, state, country, isRemote
CompanycompanyName, companyUrl, companyLogo, companyIndustry
Extractedemails, scrapedAt

πŸš€ Examples

Find remote Python jobs in Europe

{
  "titles": ["Python Developer", "Backend Engineer"],
  "locations": ["London", "Berlin", "Amsterdam"],
  "workType": "2",
  "contractType": "F",
  "maxItems": 100
}

Track new data science openings this week

{
  "titles": ["Data Scientist", "ML Engineer", "Data Analyst"],
  "locations": ["United States"],
  "publishedAt": "r604800",
  "maxItems": 200
}

Monitor new full-time openings in multiple cities

{
  "titles": ["Software Engineer", "Backend Developer"],
  "locations": ["San Francisco", "New York", "Austin"],
  "contractType": "F",
  "publishedAt": "r86400",
  "maxItems": 100
}

Entry-level jobs with Easy Apply

{
  "titles": ["Junior Developer", "Graduate Engineer"],
  "locations": ["New York", "Chicago"],
  "experienceLevel": "2",
  "easyApply": true,
  "maxItems": 50
}

πŸ’» Integrations

Python

from apify_client import ApifyClient


client = ApifyClient("YOUR_API_TOKEN")


run = client.actor("silentflow/linkedin-jobs-scraper").call(run_input={
    "titles": ["Software Engineer", "Backend Developer"],
    "locations": ["New York", "San Francisco"],
    "contractType": "F",
    "publishedAt": "r604800",
    "maxItems": 100,
})


for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    salary = f"${item['salaryMin']:,}-${item['salaryMax']:,}" if item.get("salaryMin") else "N/A"
    print(f"{item['title']} @ {item['companyName']} | {salary} | {item['location']}")

JavaScript

import { ApifyClient } from 'apify-client';


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


const run = await client.actor('silentflow/linkedin-jobs-scraper').call({
    titles: ['Software Engineer', 'Backend Developer'],
    locations: ['New York', 'San Francisco'],
    contractType: 'F',
    publishedAt: 'r604800',
    maxItems: 100,
});


const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    const salary = item.salaryMin ? `$${item.salaryMin.toLocaleString()}-$${item.salaryMax.toLocaleString()}` : 'N/A';
    console.log(`${item.title} @ ${item.companyName} | ${salary} | ${item.location}`);
});

πŸ“ˆ Performance

MetricValue
Speed~50 jobs in 20-30 seconds
Max results per run~1,000 per title/location combo (no hard cap)
Fields per job22+
No login requiredYes

πŸ’‘ Tips for best results

  • Search a pay-transparency market to get salaries. LinkedIn only publishes a pay range when the employer did. On a country-wide United States search roughly 1 posting in 4 carries one; searching New York, California, Colorado or Washington fills the column on nearly every row. No scraper can return a range the employer never published.
  1. Use multiple titles to cover job title variations: ["Python Developer", "Backend Engineer", "Software Developer"]
  2. Cross titles with locations to search multiple markets in one run: 3 titles x 3 cities = 9 searches
  3. Filter by date with publishedAt: "r604800" to get only jobs from the past week
  4. Start with 25 results to test your filters before scaling
  5. Combine filters for precision: fulltime + remote + past week gives you only the freshest relevant listings
  6. Search beyond the title with keywords: ["python api"] matches those words anywhere in the posting, not only in the job title
  7. Already have the postings? Put their IDs in jobIds (the number at the end of a job link) and the run opens exactly those jobs, with no search run

❓ FAQ

Why is the salary missing on some jobs? Because the employer did not publish a pay range. LinkedIn shows one only when it was given, so no scraper can return it otherwise. Measured on real runs: about 1 in 4 on a country-wide United States search, close to 10 out of 10 in pay-transparency markets like New York. The fields are left out rather than guessed.

Q: Do I need a LinkedIn account? No. The scraper uses public LinkedIn job listings. No login, no cookies, no API key.

Q: Why are some jobs missing salary data? LinkedIn only shows salary for a subset of listings. The scraper extracts it when present.

Q: What does the titles x locations cross-product mean? If you provide 2 titles and 3 locations, the scraper runs 6 searches (every title in every location) and deduplicates results.

Q: What's the difference between jobUrl and jobUrlDirect? jobUrl is the LinkedIn listing page. jobUrlDirect is the external apply link (when available).

Q: How many jobs can I get per run? LinkedIn returns up to ~1,000 results per title/location combination. Use multiple titles and locations to get more: 3 titles x 3 cities can yield thousands of results in one run.

Q: Can I search globally? Yes. Set locations to ["United States", "United Kingdom", "Germany"] or any combination. LinkedIn handles location resolution.

More SilentFlow scrapers

πŸ›’ E-commerce

πŸ’Ό Jobs

🏠 Real estate

πŸ“£ Social media

🏒 Business data

✈️ Travel

🎯 Lead generation

πŸ”Ž SEO

πŸ“ˆ Marketing

🎬 Video

πŸ“° News

🧰 More tools

πŸ“¬ Support

Need something this scraper doesn't do yet? We ship features fast.

  • Feature requests go straight to our backlog
  • Enterprise needs? We do custom integrations
  • Response time: usually under 24 hours

Check out our other scrapers: SilentFlow on Apify

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