LinkedIn Jobs Scraper - Your Ultimate Recruiting & Job Market Intelligence AI Tool

🚀 Supercharge Your Recruiting and Market Research

The LinkedIn Jobs Scraper is a powerful Apify Actor that gives you unparalleled access to LinkedIn's vast job marketplace. Whether you're a recruiter looking to gain competitive intelligence, a job seeker researching the market, or a business analyst tracking hiring trends, this tool delivers comprehensive job data in a structured, ready-to-use format.

💼 Key Business Benefits

• AI-Powered Analysis: Extract structured job details from descriptions using advanced AI models
• Comprehensive Data: Get complete job information including responsibilities, required skills, and qualifications
• Flexible Storage: Save job data in JSON format for easy integration with other tools and analysis
• Efficient Processing: Handle hundreds of job listings concurrently for fast data collection
• Reliable Scraping: Use proxy infrastructure to reliably scrape LinkedIn job postings

✨ Premium Features

• Precision Search: Target exactly the job listings you need with customizable keywords
• Advanced Filtering: Narrow results by location, experience level, job type, and more
• Time-Based Filtering: Focus on recent postings with granular time ranges from 1 hour to 2 months
• AI-Powered Job Analysis: Extract structured details from job descriptions using advanced AI
• Proxy Support: Reliable scraping with Apify proxy infrastructure
• Configurable Job Types: Filter by full-time, part-time, contract, temporary, intern, or volunteer positions
• Workplace Type Filtering: Focus on remote, hybrid, or on-site opportunities
• Experience Level Targeting: Filter by intern, entry-level, associate, mid-senior, director, or executive roles
• LinkedIn-Specific Filters: Options for verified jobs, apply-with-LinkedIn, early applicant, and more
• Advanced Sorting: Sort by relevance or most recent postings
• Scalable Pagination: Retrieve hundreds or thousands of listings with built-in pagination
• Comprehensive Data Extraction: Get complete job details including company information and application methods
• Batch Processing: Efficient concurrent processing of job listings for faster results
• Structured Output: Receive data in clean, consistent JSON format ready for analysis or integration

🔒 Authentication & Security

• Cookie-Based Authentication: Uses standard LinkedIn cookies for authentication with LinkedIn's API
• Session Configuration: Your provided cookies are used to create authenticated session for the duration of the scraping process
• Secure Connections: All requests are made using HTTPS

🎛️ Powerful Configuration Options

Parameter	Type	Description
keywords	String	Search keywords (e.g., "software engineer")
li_at	String	LinkedIn li_at authentication cookie
JSESSIONID	String	LinkedIn JSESSIONID cookie (generated if not provided)
extractJobDetails	Boolean	Convert job description into structured job details using AI
geoId	String	LinkedIn Location geographic ID for location filtering
timePostedRange	String	Time range filter with options from LAST_1_HOUR to LAST_2_MONTHS
experienceLevels	Array	Experience levels (INTERN, ENTRY_LEVEL, ASSOCIATE, MID_SENIOR, DIRECTOR, EXECUTIVE)
jobTypes	Array	Job types (FULL_TIME, PART_TIME, CONTRACT, TEMPORARY, INTERN, VOLUNTEER)
workplaceTypes	Array	Workplace types (REMOTE, HYBRID, ON_SITE)
sortBy	String	Sort criteria (R for Relevance, DD for Most Recent)
applyWithLinkedin	Boolean	Filter for jobs that allow applying with LinkedIn
earlyApplicant	Boolean	Filter for jobs where you can be an early applicant
fairChanceEmployer	Boolean	Filter for jobs from fair chance employers
jobInYourNetwork	Boolean	Filter for jobs within your network
verifiedJob	Boolean	Filter for verified job listings
startPosition	Integer	Starting position for pagination
maxResults	Integer	Maximum number of results to fetch
proxySettings	Object	Proxy configuration for more reliable scraping

📊 Rich Data Output

Each job listing provides comprehensive information in a structured JSON format:

1{
2  "job_id": "3834889046",
3  "job_posting_url": "https://www.linkedin.com/jobs/view/3834889046",
4  "description": "We are looking for a talented Software Engineer to join our team...",
5  "title": "Software Engineer",
6  "location": "New York, NY",
7  "date_posted": "2023-09-15T00:00:00",
8  "workplace_type": "HYBRID",
9  "company_name": "Example Company",
10  "company_linkedin_url": "https://www.linkedin.com/company/example-company/",
11  "company_linkedin_username": "example-company",
12  "application_url": "https://www.example.com/careers/apply",
13  "apply_method": "external",
14  "job_details": {
15    "responsibilities": [
16      {
17        "detail": "Design and develop scalable software solutions"
18      },
19      {
20        "detail": "Collaborate with cross-functional teams to define requirements"
21      }
22    ],
23    "hard_technical_skills": [
24      {
25        "name": "Java",
26        "level": "ADVANCED"
27      },
28      {
29        "name": "Spring Boot",
30        "level": "INTERMEDIATE"
31      }
32    ],
33    "soft_technical_skills": [
34      {
35        "name": "Problem solving",
36        "level": "ADVANCED"
37      }
38    ],
39    "tools": [
40      "Git",
41      "Docker",
42      "Kubernetes"
43    ],
44    "qualifications": [
45      {
46        "detail": "3+ years of experience in software development"
47      }
48    ],
49    "industry_terms": [
50      {
51        "term": "Microservices"
52      }
53    ],
54    "education_requirements": [
55      {
56        "notes": ["Bachelor's degree in Computer Science or related field"]
57      }
58    ],
59    "certification_requirements": [
60      {
61        "name": "AWS Certified Developer",
62        "is_required": false
63      }
64    ],
65    "domain_knowledge_requirements": [
66      {
67        "topic": "Cloud computing",
68        "minimum_years": 2
69      }
70    ],
71    "experience_level": "MID_LEVEL",
72    "keywords": [
73      {
74        "text": "software development"
75      }
76    ],
77    "salary_min": 80000,
78    "salary_max": 120000
79  }
80}

🔐 LinkedIn Authentication

To use this scraper, you'll need to provide LinkedIn authentication credentials:

1. You need to provide your LinkedIn li_at cookie (required)
2. The JSESSIONID cookie will be generated if you don't provide it
3. These cookies are used to create an authenticated session with LinkedIn

You can extract the required cookies from your browser after logging into LinkedIn.

📋 Usage Examples

Basic Job Search

1{
2  "keywords": "software engineer",
3  "li_at": "your-li-at-cookie",
4  "timePostedRange": "LAST_10_DAYS",
5  "sortBy": "R"
6}

Advanced Search with Filters

1{
2  "keywords": "data scientist",
3  "li_at": "your-li-at-cookie",
4  "geoId": "103644278",
5  "timePostedRange": "LAST_WEEK",
6  "experienceLevels": ["MID_SENIOR", "DIRECTOR"],
7  "jobTypes": ["FULL_TIME"],
8  "workplaceTypes": ["REMOTE"],
9  "extractJobDetails": true,
10  "verifiedJob": true,
11  "fairChanceEmployer": true,
12  "sortBy": "DD",
13  "startPosition": 0,
14  "maxResults": 100,
15  "proxySettings": {
16    "useApifyProxy": true
17  }
18}

⚠️ Usage Considerations

• For optimal performance, maintain up-to-date authentication credentials
• Using proxy settings is recommended for more reliable and consistent results
• LinkedIn rate limits may apply when making too many requests

📞 Support & Custom Solutions

Need help implementing this tool or want custom modifications? Contact Me