LinkedIn Jobs Scraper — salaries parsed, no login

LinkedIn Jobs Scraper collects job postings from LinkedIn's public job search, with the full description, salary as numbers, applicant count, seniority, employment type, industries, the job poster when shown, and optional company details (website, size, industry, headquarters). No LinkedIn account or cookies needed.

What can this Actor do?

• 💰 Salaries for most US jobs, not just a few. LinkedIn's own salary box appears on under 10% of postings, but most US job ads state the pay range in the description. This Actor reads both and returns salaryMin, salaryMax, salaryCurrency and salaryPeriod (hour or year), so you can filter and sort by pay.
• 🔎 Search like on LinkedIn: keywords, location, date posted, remote/hybrid/on-site, job type, experience level, Easy Apply, under 10 applicants. Or paste any LinkedIn job search URL.
• 📄 Full job details: description (text and HTML), seniority level, employment type, industries, applicant count, Easy Apply flag, job poster name and title.
• 🏢 Company details (optional): website, company size, industry, headquarters, founded year, followers.
• 🔔 Only new jobs: schedule it daily and get just the jobs it hasn't returned before.
• 🔓 No login, no cookies: uses LinkedIn's public, logged-out job pages, so your LinkedIn account is never involved.

What data can I get?

Field	Example
title, company, location	Data Analyst, NYU Langone Health, New York, NY
salaryMin, salaryMax, salaryCurrency, salaryPeriod	78419, 117628, USD, year
salaryText	LinkedIn's own salary box, when shown: $78,000.00/yr - $124,750.00/yr
applicants, applicantsText	61, 61 applicants (or Over 200 applicants)
seniorityLevel, employmentType, industries, jobFunction	Mid-Senior level, Full-time, Hospitals and Health Care
postedDate, postedText, insight	2026-10-27, 12 hours ago, Actively Hiring
easyApply	true / false
jobPosterName, jobPosterTitle, jobPosterProfileUrl	When the poster is shown on the public page
descriptionText, descriptionHtml	Full job ad
companyUrl, companyLogo	LinkedIn company page and logo
companyWebsite, companySize, companyIndustry, companyHeadquarters, companyFounded, companyType, companyFollowers, companyEmployeesOnLinkedIn	With Include company details on
url, id	Job link and LinkedIn job ID

How to use LinkedIn Jobs Scraper

1. Click Try for free and sign in (new Apify accounts get free monthly credit).
2. Enter keywords (e.g. data analyst, registered nurse) and a location (e.g. United States, Texas, United States, London, England, United Kingdom).
3. Optional: set date posted, workplace, job type or experience level, or paste LinkedIn search URLs.
4. Click Start. 100 jobs with full details take about a minute.
5. Download from the Output tab (Excel, CSV, JSON), or schedule it for daily job alerts.

Input example

{
  "keywords": ["data analyst", "business analyst"],
  "location": "United States",
  "datePosted": "24h",
  "workplaceTypes": ["remote"],
  "maxItemsPerSearch": 200,
  "includeDetails": true,
  "includeCompanyDetails": true
}

Output example

{
  "id": "4467458006",
  "title": "BU Data Analyst II",
  "company": "SchoolsFirst Federal Credit Union",
  "location": "Tustin, CA",
  "postedDate": "2026-10-27",
  "postedText": "12 hours ago",
  "salaryMin": 78419,
  "salaryMax": 117628,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "applicantsText": "Over 200 applicants",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "industries": "Financial Services",
  "easyApply": false,
  "companyWebsite": "http://www.schoolsfirstfcu.org/",
  "companySize": "1,001-5,000 employees",
  "companyHeadquarters": "Santa Ana, CA, US",
  "url": "https://www.linkedin.com/jobs/view/bu-data-analyst-ii-at-schoolsfirst-federal-credit-union-4467458006"
}

How much does it cost?

Pay per result, proxies included:

• $1.00 per 1,000 jobs with full details (description, salary, applicants, seniority, poster).
• $0.50 per 1,000 jobs from search results only (turn off Include job details).
• Company details are free: no extra charge with Include company details on.

Tips

• More than 1,000 jobs: LinkedIn shows about 1,000 results per search. Split a big search by location (states or cities) or by date posted.
• Daily job feed: set Date posted to Past 24 hours, turn on Only new jobs since last run, and schedule the Actor daily. Send results to Google Sheets, Slack or a webhook with Apify integrations.
• Salary research: filter the dataset on salaryPeriod = year and compare salaryMin/salaryMax across titles, companies or cities.

Common questions

Do I need a LinkedIn account or cookies? No. The Actor only reads LinkedIn's public, logged-out job pages, so your account is never involved or at risk.

Why don't all jobs have a salary? Many employers don't publish pay. US states with pay-transparency laws (California, New York, Washington, Colorado and others) require it, so coverage is highest there: in tests, about 70% of US software engineering jobs had a salary, against under 10% from LinkedIn's own salary box.

Job ads contain names. Anything to watch? The job poster's name and title are shown publicly on some ads. If you store them, check the privacy rules that apply to you (such as GDPR).

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FAQ

Is it legal to scrape this data?

This Actor collects only publicly available data that anyone can see in a browser without logging in. It doesn't access accounts or private data. You're responsible for how you use the data: check the website's terms and the laws that apply to you, especially if you store personal information.

Can I use it with the API, Python, Google Sheets or Zapier?

Yes. You can start runs and fetch results through the Apify API or the official Python and JavaScript clients, and send results to Google Sheets, Zapier, Make, n8n or a webhook.

Can I run it on a schedule?

Yes. In Apify Console, open Schedules to run it hourly, daily or weekly, and get the new data automatically.

Something isn't working, or I need a feature

Open an issue in the Issues tab. Issues get a quick reply, and feature requests are welcome. Custom scraping work is also possible; mention it in an issue.