Linkedin Job Scraper πŸ’Ό avatar

Linkedin Job Scraper πŸ’Ό

Pricing

$3.00 / 1,000 results

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Linkedin Job Scraper πŸ’Ό

Linkedin Job Scraper πŸ’Ό

Collect LinkedIn job listings effortlessly πŸ” Extract structured job data for recruitment, market research, and career analysis β€” fast, reliable, and scalable ⚑

Pricing

$3.00 / 1,000 results

Rating

0.0

(0)

Developer

WebScrap

WebScrap

Maintained by Community

Actor stats

3

Bookmarked

31

Total users

10

Monthly active users

3 days ago

Last modified

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LinkedIn Job Scraper - Pay Per Event

A professional job scraping service that extracts job listings from LinkedIn using a pay-per-event pricing model. You only pay for the results you receive.

πŸš€ Pay-Per-Event Pricing

This Actor uses Pay-Per-Event (PPE) pricing with the following events:

Events Charged:

  1. (Synthetic Event) - $0.003 per item
    • Charged for each job result delivered to your dataset
    • Includes both successful job results and error responses
    • No manual charging needed - automatically triggered by data delivery

Cost Examples:

  • 20 jobs found: ~$0.02005 (1x start + 20x results)
  • 100 jobs found: ~$0.10005 (1x start + 100x results)
  • No jobs found: ~$0.00105 (1x start + 1x error response)

πŸ“Š What You Get

Each job result includes:

  • Company name and profile
  • Job title and description
  • Location and remote work status
  • Job type (Full-time, Part-time, Contract, Internship)
  • Experience level requirements
  • Application URL
  • Posting date
  • Categorized job type (Frontend, Backend, Data Science, etc.)

πŸ”§ Configuration

Required Parameters:

  • Search Term: Keywords to search for (e.g., "software engineer")
  • Location: Geographic location (e.g., "San Francisco, CA")

Optional Parameters:

  • Results Per Site: Number of jobs to fetch (1-500, default: 20)
  • Maximum Job Age: Only show jobs posted within X hours (default: 72)
  • Distance: Maximum distance from location in miles (default: 50)
  • Job Type: Filter by employment type (fulltime, parttime, internship, contract)
  • Remote Only: Only show remote positions (default: false)
  • Result Offset: Skip first N results for pagination (default: 0)
  • Proxies: Optional proxy list for enhanced reliability

πŸ’‘ Best Practices

  1. Spending Control: Set spending limits in the Apify Console to control costs
  2. Result Optimization: Use specific search terms to get more relevant results
  3. Location Targeting: Be specific with locations for better job matches
  4. Type Filtering: Use job_type parameter to filter by employment type

🎯 Revenue Model

This Actor generates revenue through:

  • Transparent per-result pricing
  • No hidden subscription fees
  • Pay only for successful data delivery
  • Automatic charging handled by Apify platform

πŸ› οΈ Technical Implementation

  • Uses JobSpy library for reliable LinkedIn scraping
  • Implements Apify's synthetic charging events
  • Includes automatic retry logic and proxy rotation
  • Provides structured data output with consistent schema
  • Handles rate limiting and anti-bot protection

πŸ“ˆ Scaling

  • Handles 1-500 results per run
  • Supports proxy rotation for higher volume
  • Implements batched data delivery
  • Respects user spending limits automatically

Start scraping jobs now and pay only for what you get!