Himalayas Job Scraper

Scrape remote job listings from Himalayas.app - the leading platform for remote work opportunities. Extract comprehensive job data including titles, companies, salaries, locations, and detailed descriptions from thousands of remote positions worldwide.

🌟 Key Features

• Comprehensive Job Data: Extract job titles, company information, salaries, locations, and full job descriptions
• Flexible Search Options: Search by keywords, locations, or specific job categories
• Pagination Support: Automatically handles multiple pages to collect all matching jobs
• Structured Data Extraction: Prioritizes structured job data for accurate information
• Custom URL Support: Scrape specific job listings or search results pages
• Duplicate Prevention: Built-in deduplication to avoid duplicate job listings
• Proxy Integration: Compatible with Apify Proxy for reliable scraping

📥 Input Parameters

Configure your job scraping with these flexible input options:

Basic Search Parameters

• keyword (string) — Job title or skill to search for (e.g., "software engineer", "product manager", "data analyst")
• location (string) — Geographic filter for job locations (e.g., "United States", "Europe", "Remote")
• category (string) — Job category filter when available on the platform

Advanced Options

• startUrl / url / startUrls (string/array) — Direct URLs to specific job search pages or individual job listings
• results_wanted (integer) — Maximum number of jobs to collect (default: 100, max recommended: 1000)
• max_pages (integer) — Maximum pages to scrape (default: 20, prevents excessive crawling)
• collectDetails (boolean) — Whether to visit individual job pages for full descriptions (default: true)
• dedupe (boolean) — Remove duplicate job URLs from results (default: true)

Network Configuration

• proxyConfiguration — Proxy settings for reliable scraping (recommended: Apify Proxy with residential IPs)
• cookies / cookiesJson — Custom cookies for authentication or session handling

📤 Output Data Structure

Each scraped job is saved as a structured JSON object with the following fields:

{
  "title": "Senior Full Stack Developer",
  "company": "Tech Startup Inc",
  "category": "Engineering",
  "location": "United States, Canada + 10 more",
  "date_posted": "2025-11-28",
  "description_html": "<p>We are looking for a Senior Full Stack Developer...</p>",
  "description_text": "We are looking for a Senior Full Stack Developer with 5+ years of experience...",
  "salary": "120k-180k USD",
  "job_type": "Full Time",
  "url": "https://himalayas.app/companies/tech-startup/jobs/senior-developer"
}

Field Descriptions

• title: Job position title
• company: Hiring company name
• category: Job category or department
• location: Geographic location requirements
• date_posted: When the job was posted
• description_html: Full job description with HTML formatting
• description_text: Plain text version of the job description
• salary: Salary range and currency (when available)
• job_type: Employment type (Full Time, Part Time, Contractor, etc.)
• url: Direct link to the job listing

🚀 Usage Examples

Example 1: Basic Job Search

{
  "keyword": "software engineer",
  "location": "United States",
  "results_wanted": 50
}

Scrapes up to 50 software engineering jobs in the United States

Example 2: Remote Jobs Only

{
  "keyword": "product manager",
  "location": "Remote",
  "collectDetails": true,
  "max_pages": 10
}

Finds remote product manager positions with full job descriptions

Example 3: Specific Job Categories

{
  "category": "design",
  "results_wanted": 25,
  "dedupe": true
}

Collects design-related job listings with duplicate prevention

Example 4: Custom URL Scraping

{
  "startUrls": [
    "https://himalayas.app/jobs/data-scientist",
    "https://himalayas.app/companies/acme/jobs/frontend-developer"
  ],
  "collectDetails": true
}

Scrapes specific job search pages or individual job listings

Example 5: High-Volume Scraping

{
  "keyword": "developer",
  "results_wanted": 500,
  "max_pages": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Large-scale scraping with proxy rotation for reliability

⚙️ Configuration Best Practices

For Optimal Performance

• Use Proxies: Always enable Apify Proxy for production scraping
• Set Reasonable Limits: Balance results_wanted and max_pages to avoid timeouts
• Enable Deduplication: Keep dedupe: true to maintain data quality
• Collect Details Selectively: Set collectDetails: false for faster scraping when descriptions aren't needed

Rate Limiting Considerations

• Himalayas.app may implement rate limiting for frequent requests
• Use residential proxies to distribute requests across multiple IP addresses
• Consider scraping during off-peak hours for better success rates

Data Quality Tips

• Enable collectDetails: true for complete job information
• Use specific keywords for more targeted results
• Combine location filters with job categories for precise searches

📊 Use Cases

• Job Market Research: Analyze salary ranges and job trends across industries
• Recruitment Automation: Build comprehensive job databases for recruitment platforms
• Career Planning: Track job opportunities in specific fields or locations
• Competitive Analysis: Monitor hiring patterns of companies or competitors
• Remote Work Studies: Research remote job availability and requirements

⚠️ Limitations & Considerations

• Dynamic Content: Some job details may require JavaScript execution (not supported)
• Rate Limits: Platform may restrict request frequency; use appropriate delays
• Data Freshness: Job listings may be removed or updated between scrapes
• Geographic Restrictions: Some jobs may have location-based access restrictions
• Markup Changes: Website updates may require occasional selector adjustments

🔧 Troubleshooting

Common Issues

• No Results Found: Check keyword spelling and try broader search terms
• Timeout Errors: Reduce results_wanted or increase timeouts
• Blocked Requests: Enable proxy configuration with residential IPs
• Incomplete Data: Ensure collectDetails: true for full job information

Performance Optimization

• Start with smaller result sets (10-50) for testing
• Gradually increase limits based on success rates
• Monitor Apify logs for error patterns and adjust accordingly

📞 Support & Resources

For issues, feature requests, or questions about this scraper:

• Check the Apify documentation for general guidance
• Review Apify's scraping best practices
• Report bugs or request features through the actor's issue tracker

📈 SEO Keywords

remote jobs, job scraper, Himalayas jobs, remote work, job listings, employment data, career opportunities, job search, recruitment data, hiring trends