
🔥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
3 days ago
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.
🏆 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-scraper","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 | Base execution cost per run |
Job Data | $0.00329 | Per job extracted with full metadata |
❓ 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.
🛠️ Troubleshooting
- No results found: Try broader search terms, different locations, or increase the date range
- Limited salary data: Many companies don't publish salary ranges publicly
- Invalid country: Ensure the country name matches exactly one from the supported list
- Budget exceeded: Large searches consume more credits - consider reducing
max_results
🤝 Support & Community
- 📧 Support: Contact us
- 💬 Community: Telegram Group
- 📖 Documentation: Apify Docs
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