Matěj Volf is a Software Engineer II with eight years of hands-on experience in web automation, backend development, and quality assurance, now at Apify in Prague. He contributed to the popular Crawlee web-scraping library, improving core reliability, request handling, and documentation, and has experience porting the Rust compiler to a new OS. A Charles University computer science graduate and winner of the Czech Cybersecurity Competition 2025, he blends practical engineering with security-minded problem solving. Comfortable across the stack, he excels at building resilient crawlers and automations for data extraction and AI/LLM workflows while maintaining a strong emphasis on testing and maintainability.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Charles University
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.
Role in this project:
Back-end Developer & QA Engineer
Contributions:6 reviews, 4 commits, 9 PRs in 7 months
Contributions summary:Matěj primarily focused on improving the `crawlee` library's core functionality and reliability. They addressed several bugs related to request handling, `userData` management, and content type processing. Additionally, the user implemented new features like the `forefront` option for enqueueing links and improved documentation. A significant portion of their work involved writing and testing code, demonstrating their commitment to quality assurance.
Contributions:26 commits, 1 PR, 21 pushes in 1 year 2 months
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