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URL: https://apify.com/shirant/toxalinked

โ‡ฑ LinkedJobs ยท Apify


Pricing

from $1.00 / 1,000 results

Go to Apify Store

Pricing

from $1.00 / 1,000 results

Rating

1.0

(1)

Developer

๐Ÿ‘ Anton M

Anton M

Maintained by Community

Actor stats

0

Bookmarked

25

Total users

2

Monthly active users

3 months ago

Last modified

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LinkedIn Job Scraper

A comprehensive LinkedIn job scraper that extracts job listings with full descriptions, company information, and detailed filtering options. Built with Playwright for reliable scraping and includes smart anti-detection measures.

Features

  • Advanced Job Search: Search by keywords, location, and multiple filter criteria
  • Full Job Descriptions: Optionally scrape complete job descriptions from individual job pages
  • Smart Filtering: Filter by date posted, experience level, job type, remote work options, and industry
  • Anti-Detection: Human-like scrolling, random delays, and modal handling to avoid blocking
  • Comprehensive Data: Extract job titles, companies, locations, descriptions, salary info, and more
  • Duplicate Prevention: Automatic deduplication of job listings
  • Progress Tracking: Detailed logging and progress reporting throughout the scraping process

Input Parameters

Required

  • Location (string): City, region, or country (e.g., "Norway", "Oslo", "Remote")

Optional

  • Keywords (string): Job title or keywords to search for (leave empty for all recommendations)
  • Date Posted (enum): Filter by recency
    • Past 24 hours
    • Past week (default)
    • Past 2 weeks
    • Past month
    • Past 6 weeks
  • Experience Level (array): Select multiple levels
    • Internship
    • Entry level
    • Associate
    • Mid-Senior level
    • Director
    • Executive
  • Job Type (array): Employment type
    • Full-time
    • Part-time
    • Contract
    • Temporary
  • Remote Work (array): Workplace type
    • On-site
    • Hybrid
    • Remote
  • Industry (array): Industry categories
    • Oil and Gas
    • Consulting
    • Construction
    • (More industries can be added)
  • Maximum Jobs (integer): Max number of jobs to scrape (1-500, default: 50)
  • Max Pages (integer): Number of result pages to process (1-20, default: 3)
  • Include Job Description (boolean): Whether to fetch full job descriptions (default: true)

Output Data

Each job listing includes:

{
"title":"Software Engineer",
"company":"Tech Company",
"location":"Oslo, Norway",
"link":"https://linkedin.com/jobs/view/123456789",
"description":"Full job description text...",
"jobType":"Full-time",
"salary":"500,000 - 700,000 NOK",
"detailedLocation":"Oslo, Norway (Hybrid)",
"companyInfo":"Tech Company",
"descriptionFetched":true,
"descriptionError":false,
"scrapedAt":"2024-01-15T10:30:00.000Z",
"position":1,
"searchKeywords":"software engineer",
"searchLocation":"Norway",
"searchFilters":{
"datePosted":"pastWeek",
"expLevel":"All",
"jobType":"All",
"remote":"All",
"industry":"All"
}
}

How It Works

Two-Phase Approach

  1. Phase 1: Basic Job Collection

    • Scrolls through LinkedIn job search results
    • Extracts basic information (title, company, location, link)
    • Handles "See more jobs" buttons automatically
    • Implements smart scrolling with progress tracking
  2. Phase 2: Detailed Job Descriptions (Optional)

    • Visits each job's individual page
    • Extracts full job descriptions and additional details
    • Includes rate limiting to avoid detection
    • Handles various LinkedIn page layouts

Anti-Detection Features

  • Human-like Behavior: Random delays, mouse movements, and scrolling patterns
  • Modal Handling: Automatically closes LinkedIn login popups and overlays
  • Rate Limiting: Controlled request timing to avoid triggering LinkedIn's anti-bot measures
  • User Agent Rotation: Uses realistic browser headers and settings
  • Error Recovery: Retry logic for failed requests with exponential backoff

Usage Examples

Basic Job Search

{
"location":"Norway",
"keywords":"software engineer",
"maxJobs":25
}

Advanced Filtering

{
"location":"Oslo, Norway",
"keywords":"data scientist",
"datePosted":"pastWeek",
"expLevel":["3","4"],
"jobType":["F"],
"remote":["2","3"],
"maxJobs":100,
"includeJobDescription":true
}

Quick Overview (No Descriptions)

{
"location":"Europe",
"keywords":"",
"maxJobs":200,
"includeJobDescription":false
}

Technical Details

  • Browser Engine: Playwright with Chromium
  • Language: JavaScript (Node.js)
  • Platform: Apify Actor
  • Concurrency: Sequential processing to avoid rate limiting
  • Timeout Handling: Configurable timeouts with retry logic
  • Memory Management: Efficient data structures and cleanup

Troubleshooting

Common Issues

  1. No Jobs Found

    • Check if search criteria are too restrictive
    • Verify location spelling and format
    • Try broader keywords or remove filters
  2. Incomplete Descriptions

    • LinkedIn may be rate-limiting requests
    • Try reducing maxJobs or increasing delays
    • Some job pages may have different layouts
  3. Scraping Stopped Early

    • LinkedIn detected automated behavior
    • Reduce scraping speed by increasing maxJobs limit
    • Check debug screenshots in Key-Value Store

Debug Information

The actor saves debug screenshots to help troubleshoot issues:

  • debug_screenshot.png: Page state during scraping
  • error_screenshot.png: Page state when errors occur
  • modal_still_present.png: If login modals couldn't be closed

Rate Limiting and Ethics

This scraper implements responsible scraping practices:

  • Respects LinkedIn's server resources with appropriate delays
  • Uses human-like interaction patterns
  • Includes retry logic to handle temporary issues
  • Follows robots.txt guidelines where applicable

Important: Use this tool responsibly and in compliance with LinkedIn's Terms of Service and applicable laws. Consider the impact on LinkedIn's servers and other users.

Support

For issues or questions:

  1. Check the debug screenshots in the Actor's Key-Value Store
  2. Review the detailed logs for error messages
  3. Adjust input parameters based on the troubleshooting guide
  4. Contact support if issues persist

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