HiringCafe Jobs Scraper - Enterprise Intelligence Platform Extract comprehensive job market intelligence from HiringCafe with 50+ data points per listing. Get salary ranges, visa sponsorship, benefits packages, technical requirements, company profiles, and geographic coordinates - delivering 10x more value than basic scrapers for strategic HR decisions and market analysis. --- ## 🎯 Why Choose This Scraper? ### 📊 Most Comprehensive Data Extraction While basic scrapers extract 10-15 fields, our enterprise solution delivers 50+ comprehensive data points per job: | Feature | Basic Scrapers | Our Enterprise Solution | |---------|---------------|------------------------| | Data Fields | 10-15 basic | ✅ 50+ comprehensive | | Salary Data | Limited or missing | ✅ Min/Max salary ranges | | Benefits Info | ❌ Not included | ✅ Visa, relocation, 401k, PTO | | Company Details | Basic name only | ✅ Size, industry, funding, activities | | Technical Skills | ❌ Not included | ✅ Tools, certifications, languages | | Location Data | City name only | ✅ Geographic coordinates, multiple formats | | Requirements | Basic description | ✅ Education, experience, security clearance | | Success Rate | Variable | ✅ 100% production-tested | | Modern Tech | Outdated methods | ✅ Latest Playwright + Crawlee | | Enterprise Support | ❌ | ✅ Available | ### ⚡ Key Features - Infinite Scroll Handling - Automatically loads all available job listings (up to 1000 per run) - Smart Pagination - Efficiently extracts jobs without missing any results - Clean Professional Logging - Production-ready output with progress tracking - Robust Error Recovery - 100% success rate with intelligent retry logic - Anti-Detection Technology - Responsible scraping with proper delays and stealth measures - Flexible Input - Works with any HiringCafe search URL and filters --- ## 💼 Perfect For ### Enterprise Use Cases - 🏢 HR Analytics Firms - Complete compensation benchmarking and market analysis - 📊 Market Research Companies - Comprehensive employment trend analysis - 🎯 Recruitment Agencies - Detailed candidate targeting and job matching - 💼 Consulting Firms - Strategic workforce planning and competitor intelligence - 📈 Business Intelligence - Job market forecasting and industry insights - 🌐 Job Boards - Aggregate comprehensive HiringCafe listings automatically --- ## 🚀 How to Use ### Quick Start (3 Easy Steps) 1. Get Your Search URL - Visit hiring.cafe - Apply your desired filters (job title, location, company size, etc.) - Copy the complete URL from your browser 2. Configure the Scraper - Search URL: Paste your HiringCafe search URL - Max Jobs: Set number of jobs to scrape (1-1000) 3. Run & Export - Click "Start" to begin extraction - Download results in JSON, CSV, or Excel format ### Example Search URLs Basic search: https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22software%20engineer%22%7DWith location filter: https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22data%20scientist%22%2C%22locations%22%3A%5B...%5D%7DWith company filters: https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22product%20manager%22%2C%22companySizeRanges%22%3A%5B%5B11%2C50%5D%5D%7DWith --- ## 📋 Input Configuration ### Required Fields | Field | Type | Description | Example | |-------|------|-------------|---------| | searchUrl | String | HiringCafe search URL with your filters | https://hiring.cafe/?searchState=... | | maxJobs | Integer | Maximum jobs to scrape (1-1000) | 200 | ### Input Example { "searchUrl": "https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22sales%20manager%22%7D", "maxJobs": 200 } --- ## 📊 Complete Data Output ### 50+ Fields Per Job Listing #### 🆔 Job Identification - id - Unique job identifier - job_url - Direct link to job posting - apply_url - Application URL - source - Job board source - board_token - Platform identifier #### 💼 Job Information - title - Job title - description - Full job description - stripped_description - Clean text description - requirements_summary - Key requirements overview - core_job_title - Standardized job title - job_category - Industry category - role_type - Individual contributor / Manager - seniority_level - Experience level required - commitment - Full-time / Part-time / Contract - role_activities - Key responsibilities array #### 💰 Compensation & Benefits - yearly_min_salary - Minimum annual salary - yearly_max_salary - Maximum annual salary - monthly_min_salary - Monthly salary range - monthly_max_salary - Monthly salary range - salary_currency - Currency code (USD, EUR, etc.) - visa_sponsorship - Visa sponsorship available (true/false) - relocation_assistance - Relocation support (true/false) - retirement_plan - 401k or pension plan (true/false) - generous_paid_time_off - PTO benefits (true/false) - generous_parental_leave - Parental leave (true/false) - tuition_reimbursement - Education benefits (true/false) #### 🏢 Company Details - company_name - Company name - company_website - Company website URL - company_industry - Industry sectors array - company_activities - Business activities array - company_tagline - Company description - company_size - Number of employees - company_founded - Founding year - headquarters_country - HQ country code #### 📍 Location Information - location - Formatted location string - workplace_type - Remote / Hybrid / Onsite - workplace_countries - Country codes array - workplace_states - State/province array - workplace_cities - Cities array - workplace_continents - Continents array - _geoloc - Geographic coordinates (lat/lon) #### 🎓 Requirements - min_experience_years - Minimum years experience - bachelors_required - Bachelor's degree required - masters_required - Master's degree required - bachelors_degree_fields - Preferred degree fields - technical_tools - Required technical skills array - licenses_certifications - Required certifications array - language_requirements - Required languages array - security_clearance - Security clearance level #### 📅 Posting Details - posted_date - Job posting date (ISO 8601) - valid_through - Application deadline - scraped_at - Data extraction timestamp - is_expired - Job expiration status --- ## 💡 Output Example { "id": "greenhouseacme-corpjob-12345", "title": "Senior Software Engineer", "core_job_title": "Software Engineer", "job_url": "https://hiring.cafe/viewjob/abc123xyz", "apply_url": "https://jobs.acmecorp.com/apply/senior-engineer","company_name": "Acme Corporation", "company_website": "https://acmecorp.com", "company_industry": ["Technology", "SaaS"], "company_size": 150, "company_founded": 2018,"location": "San Francisco, California, United States", "workplace_type": "Hybrid", "workplace_countries": ["US"], "workplace_cities": ["San Francisco, CA, US"], "_geoloc": [{"lat": 37.7749, "lon": -122.4194}],"yearly_min_salary": 150000, "yearly_max_salary": 200000, "salary_currency": "USD","job_category": "Software Engineering", "seniority_level": "Senior", "commitment": ["Full Time"], "role_type": "Individual Contributor","min_experience_years": 5, "bachelors_required": "Required", "technical_tools": ["Python", "React", "AWS", "Docker"], "language_requirements": ["English"],"visa_sponsorship": true, "relocation_assistance": true, "retirement_plan": true, "generous_paid_time_off": true,"requirements_summary": "5+ years software engineering experience with Python and React. AWS cloud infrastructure knowledge required.","posted_date": "2025-09-25T10:30:00.000Z", "scraped_at": "2025-09-30T08:15:23.456Z", "is_expired": false } --- ## ⚡ Performance & Reliability ### Speed - 15 jobs per minute - Optimal balance of speed and comprehensive data - 900 jobs per hour - Enterprise-scale extraction capability - Clean execution - Professional logging with progress tracking ### Reliability - 100% success rate in production testing - Intelligent retry logic - Automatic error recovery - No infinite loops - Smart timeout handling - Anti-detection measures - Responsible scraping practices ### Scalability - Up to 1000 jobs per run - Handle large datasets - Efficient resource usage - Optimized for cost-effectiveness - Concurrent processing - Fast execution when needed --- ## 🛡️ Best Practices & Compliance ### Responsible Scraping - ✅ Respects robots.txt guidelines - ✅ Implements proper delays between requests - ✅ Uses anti-detection measures appropriately - ✅ Follows HiringCafe's terms of service ### Data Quality - ✅ Comprehensive field validation - ✅ Clean, structured output - ✅ ISO standard date formats - ✅ Normalized location data with coordinates ---