🔥Linkedin Jobs

Professional LinkedIn job data extractor with comprehensive job listings. Extract job postings from LinkedIn with detailed metadata including salary information, company details, job requirements, and location data with enterprise-grade reliability and scalable performance.

🤝 Support & Community

• 📧 Support: Contact us | 💬 Community: Telegram Group

🏆 Key Features

📊 Comprehensive Job Data Extraction

• 📝 Job Details - Title, description, requirements, type, level, function
• 💰 Salary Information - Min/max salary, currency, payment period
• 📍 Location Data - Job location, remote work options, work-from-home details
• 🏢 Company Information - Name, industry, website, logo, rating, employee count
• 📅 Posting Details - Posted date, application deadline, vacancy count
• 🔗 Direct Links - Platform URLs and direct application links

💻 Input Parameters

Parameter	Type	Required	Description	Example
search_terms	array	✅	List of job titles, skills, or company names to search for	["Software Engineer", "Python"]
country	string	✅	Target country for job search from supported countries list	"United States"
posted_since	string	✅	Extract jobs posted since this date (YYYY-MM-DD or relative format)	"2024-01-15" or "7 days"
max_results	integer	✅	Maximum number of results to extract per search term (10-10000)	100
location	string	❌	Specific city or region to refine search location	"San Francisco, CA"

🌍 Supported Countries

Over 90 countries supported including:

• Americas: United States, Canada, Brazil, Mexico, Argentina, Chile
• Europe: United Kingdom, Germany, France, Netherlands, Sweden, Switzerland
• Asia-Pacific: India, Singapore, Australia, Japan, Hong Kong, Malaysia
• Middle East: UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, Oman

📅 Date Format Options

Format Type	Example	Description
Absolute	2024-01-15	Specific date (YYYY-MM-DD)
Relative	7 days	Days ago (1-365 days)
Relative	2 weeks	Weeks ago (1-52 weeks)
Relative	1 month	Months ago (1-12 months)

📤 Output Structure

{
  "processor": "https://apify.com/nextapi/linkedin-jobs",
  "processed_at": "2024-01-15T10:30:05Z",
  "platform": "LinkedIn",
  "platform_url": "https://linkedin.com/jobs/view/12345",
  "official_url": "https://company.com/careers/software-engineer",
  "title": "Senior Software Engineer",
  "posted_date": "2024-01-14T09:00:00Z",
  "location": "San Francisco, CA",
  "is_remote": true,
  "description": "We are looking for an experienced software engineer...",
  "job_type": "Full-time",
  "job_level": "Senior",
  "job_function": "Engineering",
  "listing_type": "External",
  "emails": "careers@company.com",
  "skills": "Python, JavaScript, React, AWS",
  "work_from_home": "Hybrid",
  "vacancy_count": 3,
  "experience_range": "5-8 years",
  "salary_period": "yearly",
  "salary_minimum": 120000,
  "salary_maximum": 180000,
  "salary_currency": "USD",
  "company_name": "TechCorp Inc.",
  "company_industry": "Technology",
  "company_url": "https://linkedin.com/company/techcorp",
  "company_website": "https://techcorp.com",
  "company_logo": "https://logo.clearbit.com/techcorp.com",
  "company_addresses": "San Francisco, CA; New York, NY",
  "company_revenue": "$100M - $500M",
  "company_description": "Leading technology company specializing in cloud solutions",
  "company_rating": 4.2,
  "employee_count": "1000-5000",
  "review_count": 847
}

📊 Output Fields Description

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO formatted timestamp when the data was processed
platform	string	Job platform
platform_url	string	Original job URL on the platform
official_url	string	Direct link to job posting
title	string	Job position title
posted_date	string	Date when job was posted
location	string	Job location or city
is_remote	boolean	Whether the job allows remote work
description	string	Full job description and requirements
job_type	string	Employment type (full-time, part-time, contract)
job_level	string	Seniority level (junior, senior, manager)
job_function	string	Job category or function area
listing_type	string	Type of job listing
emails	string	Contact email addresses found in job posting
skills	string	Skills and technologies required for the job
work_from_home	string	Work from home arrangement details
vacancy_count	integer	Number of open positions
experience_range	string	Required years of experience
salary_period	string	Salary payment period (yearly, monthly, hourly)
salary_minimum	number	Minimum salary amount
salary_maximum	number	Maximum salary amount
salary_currency	string	Currency code for salary (USD, EUR, etc.)
company_name	string	Name of the hiring company
company_industry	string	Industry sector of the company
company_url	string	Company profile URL on job platform
company_website	string	Official company website URL
company_logo	string	URL to company logo image
company_addresses	string	Company office locations
company_revenue	string	Company annual revenue range
company_description	string	About the company information
company_rating	number	Company rating score
employee_count	string	Number of employees at the company
review_count	integer	Number of company reviews

🎯 Use Cases

💼 Job Market Research & Analysis

• Salary Benchmarking - Analyze salary ranges across different positions and locations
• Market Trends - Track job posting frequency and requirements changes over time
• Skill Demand - Identify most in-demand skills and technologies in your field
• Company Analysis - Research companies, their job offerings, and hiring patterns

🎓 Career Development & Job Search

• Job Discovery - Find relevant job opportunities across multiple platforms
• Career Planning - Understand career progression paths and skill requirements
• Application Targeting - Identify companies and roles that match your profile
• Market Positioning - Understand your competitive position in the job market

🔧 Recruitment & HR Analytics

• Competitor Analysis - Monitor competitor hiring patterns and job requirements
• Talent Intelligence - Identify talent pools and recruitment opportunities
• Market Mapping - Understand job market landscape in specific regions
• Compensation Analysis - Benchmark salaries and benefits offerings

📊 Business Intelligence & Data Science

• Market Research - Analyze job market data for business planning
• Economic Indicators - Track employment trends as economic indicators
• Skills Analytics - Build skills demand forecasting models
• Location Intelligence - Analyze geographic job market distributions

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.0001	Charged for Actor runtime. Cost depends on resource consumption during execution
Job Data	$0.00329	Per job extracted with complete metadata (salary, company, location, etc.)

❓ FAQ

Q: How accurate is the salary data?

A: Salary data is extracted directly from job postings. Accuracy depends on what companies provide in their job listings. Not all jobs include salary information.

Q: Can I search for multiple job titles at once?

A: Yes, use the search_terms array to specify multiple job titles, skills, or company names. Each term will be searched on LinkedIn.

Q: How long does the scraping process take?

A: Processing time varies based on search criteria and result count. Typically 1-3 seconds per job extracted. Large searches (1000+ jobs) may take several minutes.

Q: Is the data updated in real-time?

A: Yes, the scraper fetches the latest job postings available on LinkedIn at the time of execution.

Q: Can I filter by specific companies?

A: You can include company names in your search_terms to focus on specific employers, or filter results after extraction.

🏷️ LinkedIn Jobs

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💼 Use Cases: linkedin-job-search professional-recruitment career-market-analysis job-opportunity-tracking talent-pipeline-building employment-trend-analysis career-transition-research job-market-intelligence recruitment-automation professional-networking-insights job-posting-monitoring career-development-planning employment-data-analysis job-search-optimization talent-acquisition-strategy professional-job-tracking career-opportunity-discovery job-market-research