LinkedIn Jobs Scraper

A fast and reliable LinkedIn job scraper that works without authentication. Scrapes job listings with optional filters for location, experience level, job type, and more.

✨ Features

• ✅ No Authentication Required — Works with public LinkedIn job listings
• ✅ Fast Scraping — 60+ jobs per page in ~2 minutes
• ✅ Smart Deduplication — Skips previously scraped jobs
• ✅ Multiple Filters — Location, experience, workplace type, job type, etc.
• ✅ Reliable Data — Consistent results across runs
• ✅ CSV & JSON Output — Export in your preferred format

📊 Output Format

Returns jobs with the following fields:

• job_id — LinkedIn job ID
• job_title — Job title/role name
• company_name — Hiring company
• job_location — Location (city, region, or "Remote")
• posted_date — When the job was posted
• num_applicants — Number of applicants (when available)
• job_url — Direct LinkedIn job link
• scraped_at — Timestamp of scraping

🎯 Input Parameters

Required

Parameter	Type	Description	Example
keyword	string	Job title or keyword	"Full Stack Engineer"
location	string	Job location	"Singapore" / "Remote"

Optional

Parameter	Type	Default	Description
pages	integer	1	Pages to scrape (1-20). 1 page ≈ 25-60 jobs
workplace	string	-	Filter: remote, hybrid, onsite
experience	string	-	Filter: internship, entry, associate, mid-senior, director, executive
jobType	string	-	Filter: full-time, part-time, contract, temporary, volunteer
easyApply	boolean	false	Show only Easy Apply jobs
under10Applicants	boolean	false	Show only jobs with <10 applicants

💡 Example Usage

Search 1: Basic Search (3 pages)

{
  "keyword": "Python Developer",
  "location": "Singapore",
  "pages": 3
}

Result: ~180 Python developer jobs in Singapore (≈6 minutes)

Search 2: Filtered Search

{
  "keyword": "Data Scientist",
  "location": "Remote",
  "pages": 2,
  "experience": "mid-senior",
  "jobType": "full-time"
}

Result: ~120 remote mid-senior Data Scientist jobs (full-time only)

Search 3: Niche Search

{
  "keyword": "Product Manager",
  "location": "New York",
  "pages": 1,
  "easyApply": true,
  "under10Applicants": true
}

Result: Product Manager jobs in NYC with <10 applicants and Easy Apply

⏱️ Performance

Scope	Time	Est. Jobs
1 page	~2 min	25-60
3 pages	~6 min	75-180
5 pages	~10 min	125-300
10 pages	~20 min	250-600
20 pages	~40 min	500-1200

Times vary based on network speed and LinkedIn response time

💰 Pricing

This actor uses Actor compute time based on:

• Memory: 1024 MB
• Runtime: ~2 min per page

Estimated cost:

• 1 page search: $0.05-0.10
• 5 pages search: $0.25-0.50
• 20 pages search: $1.00-2.00

Actual pricing depends on Apify's compute costs in your region

🔧 Technical Details

• Language: Python 3.11
• Browser: Playwright (Chromium)
• Parser: BeautifulSoup4
• Export: CSV (default) / JSON (via Apify dataset)

📝 Notes

• Jobs are deduplicated using job_id + company_name + title hash
• Salary data is not available on public LinkedIn listing pages
• Some fields may be empty if LinkedIn doesn't display them
• Resume mode: Running the same search twice won't re-scrape existing jobs

🆘 Support

For issues or feature requests, check Apify documentation or create an issue in the repository.

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Version: 1.0.0
Last Updated: 2026-07-03