🔥Linkedin Jobs avatar
🔥Linkedin Jobs

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🔥Linkedin Jobs

🔥Linkedin Jobs

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NextAPI

NextAPI

Maintained by Community

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

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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

ParameterTypeRequiredDescriptionExample
search_termsarrayList of job titles, skills, or company names to search for["Software Engineer", "Python"]
countrystringTarget country for job search from supported countries list"United States"
posted_sincestringExtract jobs posted since this date (YYYY-MM-DD or relative format)"2024-01-15" or "7 days"
max_resultsintegerMaximum number of results to extract per search term (10-10000)100
locationstringSpecific 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 TypeExampleDescription
Absolute2024-01-15Specific date (YYYY-MM-DD)
Relative7 daysDays ago (1-365 days)
Relative2 weeksWeeks ago (1-52 weeks)
Relative1 monthMonths 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

FieldTypeDescription
processorstringURL of the Apify actor that processed this data
processed_atstringISO formatted timestamp when the data was processed
platformstringJob platform
platform_urlstringOriginal job URL on the platform
official_urlstringDirect link to job posting
titlestringJob position title
posted_datestringDate when job was posted
locationstringJob location or city
is_remotebooleanWhether the job allows remote work
descriptionstringFull job description and requirements
job_typestringEmployment type (full-time, part-time, contract)
job_levelstringSeniority level (junior, senior, manager)
job_functionstringJob category or function area
listing_typestringType of job listing
emailsstringContact email addresses found in job posting
skillsstringSkills and technologies required for the job
work_from_homestringWork from home arrangement details
vacancy_countintegerNumber of open positions
experience_rangestringRequired years of experience
salary_periodstringSalary payment period (yearly, monthly, hourly)
salary_minimumnumberMinimum salary amount
salary_maximumnumberMaximum salary amount
salary_currencystringCurrency code for salary (USD, EUR, etc.)
company_namestringName of the hiring company
company_industrystringIndustry sector of the company
company_urlstringCompany profile URL on job platform
company_websitestringOfficial company website URL
company_logostringURL to company logo image
company_addressesstringCompany office locations
company_revenuestringCompany annual revenue range
company_descriptionstringAbout the company information
company_ratingnumberCompany rating score
employee_countstringNumber of employees at the company
review_countintegerNumber 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
  • 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

ResourceCostDescription
Actor Usage$0.0001Base execution cost per run
Job Data$0.00329Per 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