All-in-One Direct Employer Job Search Scraper PPR Collect real, verified job listings directly from employer career pages — no ghost jobs, no duplicates, and no outdated posts. ## Why Choose This Scraper? ### 🎯 Jobs You Can't Find Elsewhere Discover millions of job listings sourced directly from company career pages every day. Many employers skip traditional job boards and publish openings only on their own websites—now you can access all these exclusive opportunities in one place. These will NOT be available on websites like Indeed and LinkedIn. ### 🚫 No Ghost Jobs Our advanced filters eliminate ghost jobs, scams, and offshore consulting firms, ensuring you see only genuine openings from reputable employers. ### ⚡ Always Up-to-Date Job listings are updated three times a day, with duplicates automatically removed. Unlike other platforms that permit repeated postings, you’ll only see the latest, genuinely available opportunities. ### 🔧 Advanced Filters Enables highly targeted searches by salary range, benefits, tech stack, company size, and additional criteria. ## Comprehensive Filtering Options - Smart Search: Query jobs by keywords, titles, and descriptions - Location Targeting: Countries, cities, regions with workplace type filtering - Salary Intelligence: Min/max ranges with currency support and transparency filters - Education Matching: Bachelor's/Master's degree field requirements - Company Intelligence: Target specific companies, industries, and size ranges - Benefits & Perks: Visa sponsorship, remote work, PTO, health insurance - Technology Stack: Filter by programming languages, frameworks, and tools - Posting Recency: Control how fresh the job listings should be - Smart Sorting: By relevance, date, or compensation ## Input Configuration The actor accepts the following input parameters: ### Basic Search - Search Query: General search keywords - Job Title Keywords: Specific job title search terms - Job Description Keywords: Keywords to search in job descriptions ### Location & Work Arrangement - Locations: Target countries, cities, or regions (supports multiple) - Workplace Types: Remote, Hybrid, Onsite options - Employment Types: Full Time, Part Time, Contract, Temporary, etc. ### Experience & Education - Seniority Levels: No experience, Mid Level, Senior Level - Bachelor's/Master's Degree Fields: Specific fields of study requirements - Degree Requirements: Required vs Preferred degree levels ### Compensation - Minimum/Maximum Salary: Salary range filtering - Currency: Preferred currency (USD, EUR, etc.) - Transparent Salaries Only: Only show jobs with visible salary info ### Company & Industry - Target Companies: Specific company names to focus on - Industries: Target industry sectors - Company Size Ranges: Employee count ranges (e.g., [1,50], [51,200]) ### Benefits & Requirements - Required Benefits: Relocation assistance, visa sponsorship, etc. - Language Requirements: Required languages for the position - Technology Keywords: Specific tech stack requirements ### Output Control - Sort By: Sort results by relevance, date posted, or compensation ("default", "date", "compensation_desc", "compensation_asc") - Job Posting Age: Only jobs posted within the last N days (options: 2, 4, 8, 30, 90 days) - Maximum Results: Limit the number of results (default: 100) ## Output Format Each job listing returns the following structured data: json { "id": "unique_job_id", "title": "Software Engineer", "company": "Example Corp", "location": "San Francisco, CA", "workplace_type": "Remote", "commitment_type": "Full Time", "salary_min": 80000, "salary_max": 120000, "salary_currency": "USD", "description": "Job description...", "requirements": "Job requirements...", "benefits": "Benefits offered...", "posted_date": "2025-01-01", "application_url": "https://...", "company_size": "51-200", "industry": "Software", "seniority_level": "Mid Level", "scraped_at": "2025-01-01 12:00:00" } ## Usage Examples ### Basic Search json { "query": "software engineer", "locations": ["United States"], "workplaceTypes": ["Remote", "Hybrid"], "sortBy": "date", "dateFetchedPastNDays": 30, "maxResults": 50 } ### Advanced Filtering with Sorting json { "jobTitleQuery": "senior developer", "locations": ["Israel", "Germany"], "commitmentTypes": ["Full Time"], "seniorityLevel": ["Senior Level"], "minSalary": 80000, "restrictJobsToTransparentSalaries": true, "bachelorsDegreeFieldsOfStudy": ["computer science"], "benefitsAndPerks": ["visa_sponsorship", "remote_work"], "technologyKeywordsQuery": "Python React AWS", "sortBy": "compensation_desc", "dateFetchedPastNDays": 7, "maxResults": 100 } ## Getting Started ### Quick Start 1. Configure your search parameters using the intuitive form interface 2. Set your target locations and job criteria 3. Choose your preferred sorting and filtering options 4. Run the Actor and get structured job data in JSON format ### Running the Actor - On Apify Platform: Simply configure and run through the web interface - Locally: Use apify run in your terminal - API Integration: Call via Apify API for automated job collection ## Pricing - This Actor uses Apify's Pay-Per-Result (PPR) pricing model. - You are charged $9.99 for every 1,000 results stored in the dataset. - Charges are based strictly on the number of results produced and saved. - Every run will store at least one item (either a job result or an error item), so every run is billable. - Example: - If you save 50 jobs, you will be charged $0.50 (50 × $9.99 / 1000). - If you save 2,000 jobs, you will be charged $19.98 (2,000 × $9.99 / 1000). - You only pay for results actually stored in the dataset. ## Reliable Performance Built with robust error handling for: - Network connectivity issues - Rate limiting management - Invalid parameter validation - Empty result handling Transform your job search with access to hidden opportunities that saves you hours of manual searching!