
Linkedin Jobs
Pricing
Pay per event

Linkedin Jobs
Scrape job listings with salary ranges, company details, and employment data. Professional job scraping solution for recruitment strategy, market analysis, and competitive hiring intelligence.
5.0 (1)
Pricing
Pay per event
1
1
1
Last modified
2 hours ago
The next-generation LinkedIn job intelligence platform that transforms raw job postings into actionable market insights for enterprise talent acquisition, competitive analysis, and strategic workforce planning.
Beyond simple data extraction, this Actor delivers comprehensive business intelligence by combining job market data with deep company analytics, salary benchmarking, and industry trend analysis. Designed for enterprises requiring accurate, scalable, and compliance-ready job market intelligence across 80+ global markets.
Key Features
- Market Intelligence Engine: Transform job postings into strategic workforce insights with automated trend detection and competitive salary analysis
- Deep Company Profiling: Extract comprehensive company intelligence including financial data, growth metrics, and employee sentiment analysis
- Real-Time Salary Benchmarking: Access live compensation data with market positioning analysis and geographic cost adjustments
- Enterprise Compliance Ready: Built-in data governance, privacy controls, and audit trails for regulated industries and enterprise deployments
- Predictive Analytics Integration: API-ready data structure optimized for machine learning models and predictive workforce planning
- Global Market Synchronization: Simultaneous data collection across 80+ regional LinkedIn platforms with cultural and linguistic localization
- Performance at Scale: High-throughput architecture capable of processing 10,000+ job records per hour with guaranteed data consistency
Configuration
Required Parameters
Parameter | Type | Description |
---|---|---|
search_terms | string | Job title, skills, or company name to search for |
posted_since | string | Time filter for job postings |
country | string | Target country for job search |
Advanced Search Intelligence:
- Strategic targeting: "VP Engineering", "Chief Data Officer", "AI Researcher"
- Emerging technologies: "Machine Learning Engineer", "Blockchain Developer", "DevOps Architect"
- Market analysis: "Fintech Startup", "Fortune 500", "Series B Companies"
Intelligent Time Filtering:
- Market timing: "1 days" for urgent hiring trends, "30 days" for comprehensive market analysis
- Historical analysis: "2024-01-01" for year-over-year compensation benchmarking
- Strategic insight: Correlate posting frequency with market demand and company growth phases
Global Market Intelligence:
- Strategic markets: Target high-growth regions and emerging tech hubs
- Compensation analysis: Cross-border salary comparison and cost-of-living adjustments
- Cultural insights: Region-specific hiring patterns and employment practices
Optional Parameters
Parameter | Type | Description |
---|---|---|
location | string | Specific city or region within the country |
Location Examples:
- Cities: "San Francisco, CA", "London", "Berlin", "Tokyo"
- Regions: "California", "Greater London", "Bavaria"
- Leave empty for country-wide search
Usage Example
{"search_terms": "Senior Software Engineer","posted_since": "7 days","country": "United States","location": "San Francisco, CA"}
Data Output
The Actor returns an array of job objects with comprehensive information extracted from LinkedIn job postings. Output is available in multiple formats including JSON, CSV, Excel, and more.
Data Fields
Job Details
Field | Type | Description |
---|---|---|
title | string | Job position title |
description | string | Complete job description and requirements |
posted_date | ISO date | When the job was originally posted |
location | string | Job location (city, state/country) |
is_remote | boolean | Remote work availability |
job_type | string | Employment type (Full-time, Part-time, Contract) |
job_level | string | Seniority level (Entry, Senior, Manager, Director) |
job_function | string | Job category or department |
experience_range | string | Required years of experience |
vacancy_count | number | Number of open positions |
listing_type | string | Type of job listing |
Compensation
Field | Type | Description |
---|---|---|
salary_minimum | number | Minimum salary amount |
salary_maximum | number | Maximum salary amount |
salary_currency | string | Currency code (USD, EUR, GBP, etc.) |
salary_period | string | Payment frequency (yearly, monthly, hourly) |
Company Profile
Field | Type | Description |
---|---|---|
company_name | string | Company name |
company_industry | string | Industry sector |
company_website | string | Official company website |
company_logo | string | Company logo image URL |
company_addresses | string | Office locations |
company_revenue | string | Annual revenue range |
company_description | string | Company overview |
company_rating | number | Company rating (1-5 scale) |
employee_count | string | Company size range |
review_count | number | Number of employee reviews |
company_url | string | LinkedIn company profile URL |
Application Details
Field | Type | Description |
---|---|---|
emails | string | Contact email addresses |
skills | string | Required skills and technologies |
work_from_home | string | Remote work arrangements |
platform | string | Source platform (LinkedIn) |
platform_url | string | Original job posting URL |
official_url | string | Direct link to job posting |
processor | string | Apify actor URL that processed this job |
processed_at | ISO date | Data extraction timestamp |
Example Output
{"title": "Senior Software Engineer","description": "Join our growing team to build scalable web applications using React and Node.js. We're looking for an experienced developer with 5+ years in full-stack development...","posted_date": "2024-01-10T08:00:00.000Z","location": "San Francisco, CA","is_remote": true,"job_type": "Full-time","job_level": "Senior","job_function": "Engineering","experience_range": "5-7 years","vacancy_count": 3,"listing_type": "Premium","salary_minimum": 140000,"salary_maximum": 180000,"salary_currency": "USD","salary_period": "yearly","company_name": "TechCorp Solutions","company_industry": "Software Technology","company_website": "https://www.techcorp.com","company_logo": "https://media.licdn.com/dms/image/company-logo.png","company_addresses": "San Francisco, CA; Austin, TX","company_revenue": "$100M - $500M","company_description": "TechCorp Solutions is a leading software company specializing in enterprise solutions...","company_rating": 4.3,"employee_count": "1000-5000","review_count": 892,"company_url": "https://www.linkedin.com/company/techcorp-solutions","emails": "careers@techcorp.com","skills": "React, Node.js, TypeScript, AWS, Docker, Kubernetes","work_from_home": "Hybrid (3 days remote)","platform": "LinkedIn","platform_url": "https://www.linkedin.com/jobs/view/3692563200","official_url": "https://www.linkedin.com/jobs/view/3692563200","processor": "https://apify.com/marketingme/linkedin-jobs-api","processed_at": "2024-01-15T10:30:00.000Z"}
Supported Platforms
- LinkedIn: Available in all supported countries with full job details and company information
Supported Countries
This Actor supports job searches in the following 80+ countries:
Argentina, Australia, Austria, Bahrain, Bangladesh, Belgium, Bulgaria, Brazil, Canada, Chile, China, Colombia, Costa Rica, Croatia, Cyprus, Czech Republic, Denmark, Ecuador, Egypt, Estonia, Finland, France, Germany, Greece, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kuwait, Latvia, Lithuania, Luxembourg, Malaysia, Malta, Mexico, Morocco, Netherlands, New Zealand, Nigeria, Norway, Oman, Pakistan, Panama, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, Slovakia, Slovenia, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Venezuela, Vietnam