Jobs Scraper – Search & Extract Job Listings from Multiple Sources

Search and extract comprehensive job listings with detailed information including job title, company, location, salary, requirements, benefits, and more. Perfect for job market analysis, recruitment research, career opportunities discovery, and competitive intelligence. Get detailed job data in seconds!

📋 Table of Contents

• 🚀 Features
• 🎯 Use Cases
• ⚡ Quick Start
• 📊 Input Parameters
• 📤 Output Format
• 📈 Data Fields Explained
• 🔧 Performance & Reliability
• 💡 Best Practices
• ❓ FAQ
• 📞 Support

🚀 Features

Comprehensive Job Data Extraction

• ✅ Job Details - Job title, ID, description, and employment type
• ✅ Company Information - Company name, logo, website, and type
• ✅ Location Data - City, state, country, coordinates, and remote status
• ✅ Salary Information - Min/max salary, currency, and payment period
• ✅ Application Links - Direct apply links and multiple application options
• ✅ No Login Required - Search jobs without authentication

📊 Advanced Job Intelligence

• ✅ Job Highlights - Qualifications, responsibilities, and benefits
• ✅ Requirements - Experience level, education, and skills needed
• ✅ Benefits - Health insurance, PTO, dental coverage, and more
• ✅ Posting Details - Posted date, expiration date, and timestamps
• ✅ Publisher Info - Job board source (LinkedIn, Indeed, etc.)

🎨 Powerful Search Features

• ✅ Multi-Page Scraping - Extract up to 200 jobs (20 pages × 10 jobs)
• ✅ Advanced Filters - Date posted, remote only, employment type, experience
• ✅ Country & Language - Search jobs in any country and language
• ✅ Clean Data Format - Organized JSON output with all fields

🎯 Use Cases

Use Case	Description	Benefits
Job Market Analysis	Analyze job trends, salaries, and requirements	Understand market demand, skill gaps, salary ranges
Recruitment Research	Find candidates and job postings for hiring	Build talent pipelines, competitive hiring strategies
Career Planning	Discover job opportunities and requirements	Career path planning, skill development insights
Salary Research	Compare salaries across companies and locations	Negotiate better offers, understand compensation trends
Competitive Intelligence	Monitor competitor job postings	Understand hiring strategies, expansion plans
Job Aggregation	Build job boards and aggregation platforms	Create niche job platforms, monetize job data
Skills Analysis	Identify in-demand skills and qualifications	Training programs, curriculum development
Location Intelligence	Analyze job markets by city, state, or country	Relocation decisions, market entry strategies

⚡ Quick Start

1️⃣ Basic Job Search

{
  "query": "marketing manager in new york via linkedin",
  "page": 1,
  "country": "us"
}

2️⃣ Advanced Search with Filters

{
  "query": "software engineer remote",
  "page": 1,
  "country": "us",
  "datePosted": "week",
  "workFromHome": true,
  "employmentTypes": ["FULLTIME", "CONTRACTOR"]
}

3️⃣ Multi-Page Scraping

{
  "query": "data scientist in san francisco",
  "page": 1,
  "country": "us",
  "datePosted": "month",
  "jobRequirements": ["under_3_years_experience"]
}

📊 Input Parameters

Configuration Options

Parameter	Type	Required	Default	Description
query	String	✅	-	Job search query (e.g., "marketing manager in new york")
page	Integer	❌	1	Page number to fetch (1-50)
country	String	❌	"us"	Country code (ISO 3166-1 alpha-2)
language	String	❌	"en"	Language code (ISO 639)
datePosted	String	❌	"all"	Filter by date: all, today, 3days, week, month
workFromHome	Boolean	❌	false	Only return remote jobs
employmentTypes	Array	❌	[]	List of employment types: FULLTIME, PARTTIME, CONTRACTOR, INTERN
jobRequirements	Array	❌	[]	List of requirements: under_3_years_experience, no_experience, etc.

📝 Parameter Details

query (Required)

• Free-form job search query
• Best practice: Include job title and location
• Examples:
  • "web development jobs in chicago"
  • "marketing manager in new york via linkedin"
  • "software engineer remote"
  • "data analyst in san francisco"

page (Optional)

• Page number for results
• Range: 1-50
• Each page contains up to 10 job listings
• Default: 1

country (Optional)

• ISO 3166-1 alpha-2 country code
• Examples: "us", "gb", "ca", "de", "in", "au"
• Default: "us"

language (Optional)

• ISO 639 language code
• Examples: "en", "es", "fr", "de"
• Default: "en"

datePosted (Optional)

• Filter jobs by posting date
• Options: "all", "today", "3days", "week", "month"
• Default: "all"

workFromHome (Optional)

• Set to true to only return remote jobs
• Default: false

employmentTypes (Optional)

• Array of employment types
• Options: FULLTIME, PARTTIME, CONTRACTOR, INTERN
• Example: ["FULLTIME", "CONTRACTOR"]

jobRequirements (Optional)

• Array of requirements
• Options: under_3_years_experience, more_than_3_years_experience, no_experience, no_degree
• Example: ["under_3_years_experience", "no_degree"]

📤 Output Format

Complete Job Listing Details

{
  "job_id": "-uNPnvjFRt1PgXtJAAAAAA==",
  "job_title": "Market Manager, New York (Remote)",
  "employer_name": "Weedmaps",
  "employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRo4vG5d_0ZWuBTJxHLe1q0ecryNa0eUyp1_bAw&s=0",
  "employer_website": "https://weedmaps.com",
  "employer_company_type": null,
  "job_publisher": "LinkedIn",
  "job_employment_type": "Full-time",
  "job_employment_types": ["FULLTIME"],
  "job_apply_link": "https://www.linkedin.com/jobs/view/market-manager-new-york-remote-at-weedmaps-4313301520",
  "job_apply_is_direct": false,
  "job_apply_quality_score": null,
  "apply_options": [
    {
      "publisher": "LinkedIn",
      "apply_link": "https://www.linkedin.com/jobs/view/market-manager-new-york-remote-at-weedmaps-4313301520",
      "is_direct": false
    }
  ],
  "job_description": "Market Manager, New York (Remote)\n\nOverview\n\nThe Market Manager is an expert and advocate...",
  "job_is_remote": true,
  "job_posted_at": "4 hours ago",
  "job_posted_at_timestamp": 1760652000,
  "job_posted_at_datetime_utc": "2025-10-16T22:00:00.000Z",
  "job_location": "New York, NY",
  "job_city": "New York",
  "job_state": "New York",
  "job_country": "US",
  "job_latitude": 40.7127753,
  "job_longitude": -74.0059728,
  "job_benefits": ["health_insurance", "dental_coverage", "paid_time_off"],
  "job_google_link": "https://www.google.com/search?q=jobs&gl=us&hl=en&udm=8#vhid=vt%3D20/docid%3D-uNPnvjFRt1PgXtJAAAAAA%3D%3D",
  "job_min_salary": 99115,
  "job_max_salary": 110950,
  "job_salary_currency": null,
  "job_salary_period": "YEAR",
  "job_highlights": {
    "Qualifications": [
      "Bachelor's degree in business, marketing, communication or other related field",
      "7 years experience in marketing or other related management role"
    ],
    "Benefits": [
      "The base pay range for this position is $99,115.00 - $110,950.00 per year",
      "Physical Health benefits: Medical, Dental & Vision"
    ],
    "Responsibilities": [
      "Manage specific regional territories to achieve marketing goals & objectives",
      "Grow WM customer base by increasing full funnel customer acquisitions"
    ]
  },
  "job_required_experience": null,
  "job_required_skills": null,
  "job_required_education": null,
  "scraped_at": "2025-11-30T03:02:00.000Z"
}

Data Fields Explained

📊 Complete Field Reference

Field Category	Fields	Description
Job Identification	job_id, job_title	Unique job ID and job title
Employer Info	employer_name, employer_logo, employer_website, employer_company_type	Company details and branding
Job Details	job_publisher, job_employment_type, job_employment_types	Job board source and employment type
Application	job_apply_link, job_apply_is_direct, apply_options	Application links and options
Description	job_description, job_highlights	Full job description and key highlights
Location	job_location, job_city, job_state, job_country, job_latitude, job_longitude	Geographic information
Remote Status	job_is_remote	Boolean indicating if job is remote
Posting Info	job_posted_at, job_posted_at_timestamp, job_posted_at_datetime_utc	When job was posted
Salary	job_min_salary, job_max_salary, job_salary_currency, job_salary_period	Compensation details
Benefits	job_benefits	Array of benefits (health insurance, PTO, etc.)
Requirements	job_required_experience, job_required_skills, job_required_education	Job requirements
Links	job_google_link	Google Jobs search link
Metadata	scraped_at	Scraping timestamp

Performance & Reliability

⚡ Speed & Efficiency

Metric	Performance	Details
Processing Speed	2-5 seconds	Per page (10 jobs)
Multi-Page Scraping	Up to 20 pages	Extract up to 200 jobs per run
Success Rate	95%+	High reliability with retry logic
Rate Limiting	2 seconds	Delay between page requests

🔄 Reliability Features

• ✅ Auto-Retry Logic – Handles temporary failures with exponential backoff
• ✅ Error Reporting – Clear error messages in logs with detailed error codes
• ✅ Rate Limiting – Built-in 2-second delays between page requests to prevent throttling
• ✅ Input Validation – Validates all search parameters before processing
• ✅ Graceful Failures – Continues processing remaining pages even if one fails

💡 Best Practices

✅ Recommended Usage

1. Start with specific queries – Include job title and location for best results (e.g., "software engineer in seattle")
2. Test with 1-2 pages first – Verify the search query returns relevant jobs before scraping multiple pages
3. Use filters effectively – Combine datePosted, workFromHome, and employmentTypes for targeted results
4. Scrape in batches – Process 5-10 pages at a time for optimal performance
5. Monitor results – Check the dataset views (Overview, Detailed, Full) to analyze extracted data
6. Handle errors – Review logs to identify failed page requests

⚠️ Important Notes

• Rate Limiting – Built-in 2-second delay between page requests
• Maximum Pages – Up to 20 pages per run (200 jobs)
• Page Range – Starting page can be 1-50
• Some fields may be null if not provided by the job posting (e.g., salary, benefits)
• Country-Specific – Set the correct country code for accurate location-based results

❓ FAQ

Q: Can I search for jobs in multiple countries?

A: Yes! Set the country parameter to any ISO 3166-1 alpha-2 country code (e.g., "us", "gb", "ca", "de", "in").

Q: How many jobs can I scrape per run?

A: You can scrape up to 200 jobs per run (20 pages × 10 jobs per page).

Q: What if a job doesn't have salary information?

A: Some jobs don't provide salary details. These fields will be null in the output. The actor still extracts all available data.

Q: Can I filter for remote jobs only?

A: Yes! Set workFromHome: true to only return remote/work-from-home jobs.

Q: What happens if a page request fails?

A: The actor continues processing remaining pages. Failed requests are logged with error details.

Q: Can I search for specific employment types?

A: Yes! Use the employmentTypes parameter with values like "FULLTIME", "PARTTIME", "CONTRACTOR", or "INTERN" (comma-separated).

📞 Support

🆘 Need Help?

• 📧 Issues - Report bugs and request features
• 📖 Documentation - Complete guides and examples in this README
• 🎯 Best Practices - Follow the recommendations above for optimal results
• 💬 Community - Join Apify Discord for community support

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🔗 Related Scrapers

• Google Jobs Scraper
• Upwork Jobs Scraper

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🏷️ Keywords & Tags

jobs scraper, job search api, job listings extractor, job data scraper, employment data, job market analysis, recruitment scraper, career opportunities, job aggregator, salary data scraper, remote jobs scraper, job board scraper, linkedin jobs, indeed scraper, job search automation, job posting extractor, employment type filter, job requirements scraper, job benefits data, company jobs scraper, job location data, job description extractor, job highlights, application links, job market research, recruitment intelligence, career data, job trends analysis, employment scraper apify, apify jobs scraper

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🚀 Get Started Now

Ready to extract job details?

1. Click "Try for free" to test the actor
2. Add one or more job URLs to the input
3. Get comprehensive job data with job title, company information, location, salary details, employment type, job description, requirements, benefits, and application links. Each item contains complete job details and metadata.

⭐ If this actor helps your workflow, please give it a star!

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📄 Example Use Cases

Job Market Analysis

Analyze job trends, in-demand skills, and salary ranges across different locations and industries for strategic workforce planning.

Recruitment Research

Find and analyze job postings from competitors to understand hiring strategies, required skills, and compensation packages.

Career Planning

Discover job opportunities, required qualifications, and salary expectations to plan your career path and skill development.

Salary Research

Compare salaries across companies, locations, and experience levels to negotiate better offers and understand market rates.

Job Aggregation

Build custom job boards, niche job platforms, or job aggregation services with comprehensive job data from multiple sources.

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Built with ❤️ using Apify Platform | Jobs Scraper v1.0

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