🚀 Apify Google Jobs Scraper > The most efficient, reliable, and developer-friendly Google Jobs scraper for Apify platform ## 🌟 Why Choose This Scraper? The Google Jobs data scraper delivers enterprise-grade performance with these advanced capabilities: Performance & Reliability: Built with modern Python async/await patterns and optimized for high-throughput scraping with intelligent rate limiting. Cost-Effective: Provides for consistent, reliable results without the overhead of browser automation, cookies, or other rental costs. Lightning-Fast Search & Retrieval: Search any keyword or job title across Google Jobs with blazing-fast performance. Retrieve comprehensive results in seconds, not minutes, with intelligent caching and optimization. Precision Targeting & Advanced Filtering: Pinpoint exact locations with radius-based searches, filter by country and language, and apply sophisticated targeting parameters. Get precisely the job data you need, when you need it. Rich, Structured Data Extraction: Extract complete job information, including application links, and comprehensive job descriptions. Our advanced parsing ensures you get clean, structured data ready for immediate use. Enterprise-Grade Configuration & Flexibility: Built for developers and businesses who demand reliability. Highly configurable with intuitive controls, comprehensive error handling, and robust logging. Focus on your business logic while we handle the complexity of job scraping. No Hidden Costs or Rental Fees: We do not charge monthly rentals, our scraper operates on a pay-per-use model. Scale up or down based on your actual needs without being locked into expensive subscriptions. ## 🚀 Features ### Core Capabilities - Advanced Search: Support for complex queries with location, country, and language filtering - Intelligent Pagination: Automatic handling of Google Jobs pagination with configurable limits - Location Targeting: Precise location-based searches with radius support - Multi-Language: Support for international job markets ### Data Quality - Clean Output: Automatic structured data metadata for clean, production-ready data - Structured Results: Consistent JSON structure across all job listings - Comprehensive Fields: Job title, company, location, description, salary, and more - Metadata Tracking: Page-level analytics and search performance metrics ## 📖 Usage Examples ### Basic Job Search Example Search for a programmer job in San Francisco, CA. json { "query": "Software Engineer", "location": "San Francisco, CA" } ### Advanced Job Search Example Search for a job in San Francisco, CA, with a radius of 25 miles, and return 1,000 results. Limit to 10 pages. json { "query": "Software Engineer", "location": "San Francisco, CA", "country": "us", "language": "en", "google_domain": "google.com", "num_results": 1000, "max_pagination": 10, "include_lrad": false, "lrad_value": "25" } ## 🔍 Input References #### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | query | str | ✅ | - | Job search query | | location | Optional[str] | ❌ | None | Job location (city, state, country) | | country | str | ❌ | "us" | Country code for search | | language | str | ❌ | "en" | Language code | | google_domain | str | ❌ | "google.com" | Google domain to use | | num_results | int | ❌ | 100 | Maximum results to return | | max_pagination | Optional[int] | ❌ | None | Maximum pages to fetch | | include_lrad | bool | ❌ | False | Include location radius | | lrad_value | Optional[str] | ❌ | None | Location radius value | ## 📊 Output Format ### Job Listing Structure json { "total_jobs_found": 150, "pages_processed": 15, "search_metadata": { "query": "Software Engineer", "location": "San Francisco, CA", "country": "us", "language": "en" }, "jobs": [ { "title": "Senior Software Engineer", "company_name": "Tech Corp", "location": "San Francisco, CA", "description": "We're looking for a senior engineer...", "salary": "$150,000 - $200,000", "job_type": "Full-time", "posted_date": "2 days ago", "application_link": "https://company.com/careers/123", "company_logo": "https://logo.url", "requirements": [ "5+ years Python experience", "Experience with cloud platforms", "Strong communication skills" ] } ] } Made with ❤️ Transform your job search automation with the most reliable and efficient Google Jobs scraper on the market. Last Updated: 2025.12.19