💼 Pracuj Jobs Scraper This actor allows you to scrape job listings from Pracuj.pl by providing a search URL. It automatically handles pagination and extracts comprehensive job information including salaries, company details, locations, and job requirements. ## Features - URL-based Scraping: Extract job listings by providing a complete Pracuj.pl search URL - Automatic Pagination: Automatically navigates through pages and loads more job listings until reaching the end or max items limit - Comprehensive Job Data: Extract detailed information about each job listing including: - Job title and description - Salary information - Company details with logos - Job location - Additional information (seniority level, employment type, contract type, etc.) - Publication date - Quick apply availability - Company Information: Includes company name, profile link, and logo - Job Details: Captures job descriptions, requirements, and additional tags ## Input Parameters | Field | Type | Required | Description | |------------|---------|----------|------------------------------------------------| | searchUrl| string | Yes | Complete Pracuj.pl search URL to scrape | | maxItems | integer | No | Maximum number of job listings to fetch | ## Output The output is a main list of job listing objects, each containing: - searchUrl: The original search URL used - offerId: Unique identifier for the job offer - offerUrl: URL to the full job listing page - offerTitle: Title of the job position - salary: Salary range or information - company: Company information object containing: - name: Company name - link: URL to company profile - logo: URL to company logo image - location: Job location - additionalInfo: Array of additional information tags (seniority, employment type, contract type, etc.) - superOfferLabel: Label indicating if it's a "super offer" - description: Job description and requirements - dateAdded: Publication date of the job listing - isQuickApply: Whether quick apply is available - scrapedAt: Timestamp of when the listing was scraped Example output: json [ { "searchUrl": "https://www.pracuj.pl/praca/ai;kw", "offerId": "1004481750", "offerUrl": "https://www.pracuj.pl/praca/machine-learning-engineer-warszawa-aleja-niepodleglosci-18,oferta,1004481750?s=50cd1cf4&searchId=MTc2MzQ0NjkxMDc0Mi44NTI4&ref=top_boosterAI_L0_1_1_1", "offerTitle": "Machine Learning Engineer", "salary": "26 880–42 000 zł netto (+ VAT) / mies.", "company": { "name": "ACAISOFT POLAND Sp. z o.o.", "link": "https://pracodawcy.pracuj.pl/company/20303751?pid=1004481750", "logo": "https://logos.gpcdn.pl/loga-firm/20303751/ee4d0000-5df0-0015-4848-08da283012e1_280x280.png" }, "location": "Warszawa, Mokotów", "additionalInfo": [ "Starszy specjalista (Senior)", "Pełny etat", "Kontrakt B2B", "Praca od zaraz", "Praca zdalna" ], "superOfferLabel": "Superoferta", "description": "Your responsibilities, Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments., Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity...", "dateAdded": "17 listopada 2025", "isQuickApply": true, "scrapedAt": "2025-11-18T06:22:42.217Z" }, ... ] ## Use Cases - Job market research and analysis - Salary benchmarking and compensation analysis - Company hiring trend tracking - Job search automation - Recruitment market intelligence - Skills demand analysis ## Notes - Results are automatically paginated until reaching the end or max items limit - All job listings include comprehensive company and position details - Publication dates are captured for tracking new listings - Quick apply availability is indicated for each listing