Indeed Jobs Scraper 📄💼 Extract structured job listings from Indeed with detailed metadata including company info, salary breakdowns, employment types, and more — in blazing-fast speed using Scrapy! ⚡ --- ## 🔍 Input Example json { "searchKeyword": "Python Developer", "maxItems": 50, "location": "Remote" } ## Output Sample: ```json { "title": "Python Developer", "company": "Tech Solutions Inc.", "companyLogo": "https://example.com/logo.png", "company_website": "https://www.techsolutions.com", "location": "New York, NY", "locationType": "Remote", "country": "US", "date_posted": "2025-04-05", "valid_through": "2025-05-01", "employment_type": "Full-time, Contract", "salary": { "min": 6000, "max": 8000, "currency": "USD", "unit": "MONTH" }, "description": "We are looking for an experienced Python Developer to build backend services..." } ## Why choose us Over other Actors on APIFY - This actor is fastest and also cheapest among all since it uses Scrapy to extract data and extracts hundreds of rows of data Parallely in seconds. - It uses very complex antibot bypass mechanism which enables it to scrape data without getting blocked ever. - Other actors use slow methods like Selenium or Headless browsers which are unreliable, slow and costly as well since they consume too much of resource. - We test our actors everyday to make sure your integrations keep running smoothly 24/7. - Extract data in any format or integrate it easily with your API. ## Features ✨ Scrapes job data from Indeed using keyword and location filters. Outputs a structured dataset ideal for analytics, dashboards, or integration. Supports pagination and limit configuration. Extracts: Job title, company name, logo, and company website Job location and remote/on-site status Posting date and validity date Employment type (full-time, contract, internship, etc.) Salary range with currency and unit Enriched job description 📋 Usage Just provide a job keyword, target location, and max number of listings — this actor handles the rest!