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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_pages3--max_jobs50

2. Search by Company

Search for jobs at a specific company:

$python src/run_linkedin_scraper.py --search_mode company --company"Microsoft"--max_pages3--max_jobs50

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