LinkedIn Job Scraper

A powerful scraper for LinkedIn job listings with multiple search modes.

Features

• Multiple Search Modes:

  • Search by keyword and location
  • Search by company name
  • Scrape specific job URLs directly

• Comprehensive Data: Extracts detailed job information including titles, descriptions, company details, and more

• Authentication Support: Optional LinkedIn session cookies for accessing more job details

• Configurable Limits: Control the number of pages and jobs to scrape

Usage Options

1. Search by Keyword and Location

Search for jobs using a keyword and location:

$python src/run_linkedin_scraper.py --search_mode keyword_location --keyword "python developer" --location "San Francisco" --max_pages 3 --max_jobs 50

2. Search by Company

Search for jobs at a specific company:

$python src/run_linkedin_scraper.py --search_mode company --company "Microsoft" --max_pages 3 --max_jobs 50

3. Scrape Specific Job URLs

Scrape specific LinkedIn job listings:

$python src/run_linkedin_scraper.py --search_mode specific_urls --urls "https://www.linkedin.com/jobs/view/12345" "https://www.linkedin.com/jobs/view/67890"

Common Options

• --max_pages: Maximum number of search result pages to scrape (default: 1)
• --max_jobs: Maximum number of job listings to scrape (default: 10, 0 for unlimited)
• --linkedin_session_id: LinkedIn session ID cookie for authenticated access
• --linkedin_jsessionid: LinkedIn JSESSIONID cookie for authenticated access
• --debug: Enable debug mode for detailed output

Using with Apify

This scraper can be run as an Apify Actor. Configure the input parameters in the Apify console:

1. Select a search mode (keyword_location, company, or specific_urls)
2. Provide the required parameters for your selected search mode
3. Set limits and authentication options as needed

Output

The scraper produces JSON output with detailed job information:

[
  {
    "id": "12345",
    "title": "Python Developer",
    "companyName": "Example Corp",
    "location": "San Francisco, CA",
    "link": "https://www.linkedin.com/jobs/view/12345",
    "descriptionText": "We are looking for a Python developer...",
    "employment_type": "Full-time",
    "seniority_level": "Mid-Senior level",
    "postedAt": "2023-04-15T10:30:00",
    "scraped_at": "2023-04-16T14:25:30",
    "companyLinkedinUrl": "https://www.linkedin.com/company/example-corp/"
  },
  ...
]

Authentication

For best results, provide LinkedIn session cookies:

1. Log in to LinkedIn in your browser
2. Open browser developer tools (F12)
3. Go to Application/Storage > Cookies > www.linkedin.com
4. Find the li_at cookie (this is your session ID)
5. Optionally, find the JSESSIONID cookie
6. Provide these values using the --linkedin_session_id and --linkedin_jsessionid options