Yozh Scraper vs. Gaffa

Yozh Scraper is a sophisticated open-source toolkit crafted for web scraping and crawling, tailored to handle substantial data extraction endeavors. By leveraging Playwright, Python, and Redis, it skillfully maneuvers through complex JavaScript-rendered sites while adeptly bypassing modern anti-bot defenses. Notable Features: • Anti-Detection Scraping: Employs Camoufox in conjunction with authentic Chrome instances to mask browser fingerprints, allowing it to effectively navigate rigorous anti-scraping systems. • Dual Microservices Architecture: Provides an asynchronous Scraper API for page rendering, alongside an Open Crawler that includes SSE streaming, site-mapping, and deduplication functionalities. • Native MCP Integration: Effortlessly connects with AI agents like Claude Code/Desktop, LangChain, and n8n via built-in Model Context Protocol (/mcp) endpoints. • Intelligent Parsing & Configurations: Comes pre-configured for well-known platforms such as Amazon, Google, LinkedIn, and others, featuring optional self-healing parsing driven by LLMs. • Scalable Enterprise Solutions: Promotes horizontal scaling using Docker Compose, supports multiple types of proxies (Residential/Mobile/Data Center), and offers an intuitive web interface for testing. • This robust toolkit is particularly beneficial for developers aiming to enhance their data extraction workflows while ensuring adherence to anti-bot regulations, making it a valuable asset in the realm of data-driven projects.

Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see. The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites. Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.