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Yozh Scraper

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Description

We are one of the leading scraper API and review scraping service providers in the global market. We provide customized scraping APIs for our clients, ranging from startups to enterprises. We use the latest technologies and tools to mine review data and assist enterprises in obtaining large-scale and well-structured web data.

Description

Yozh Scraper is an advanced open-source toolkit designed for web scraping and crawling, optimized for extensive data extraction tasks. Utilizing Playwright, Python, and Redis, it adeptly navigates intricate JavaScript-rendered websites while effectively circumventing contemporary anti-bot measures. Highlighted Features: • Anti-Detection Scraping: Utilizes Camoufox along with genuine Chrome instances to disguise browser fingerprints, successfully navigating stringent anti-scraping mechanisms. • Dual Microservices Architecture: Offers an asynchronous Scraper API for rendering pages, combined with an Open Crawler that features SSE streaming, site-mapping, and deduplication capabilities. • Native MCP Integration: Seamlessly connects with AI agents such as Claude Code/Desktop, LangChain, and n8n through built-in Model Context Protocol (/mcp) endpoints. • Intelligent Parsing & Configurations: Comes pre-set for popular platforms like Amazon, Google, LinkedIn, and others, with optional self-healing parsing powered by LLMs. • Scalable Enterprise Solutions: Supports horizontal scaling through Docker Compose, accommodates various proxy types (Residential/Mobile/Data Center), and includes a user-friendly web interface for testing purposes. • This toolkit is ideal for developers looking to streamline their data extraction processes while maintaining compliance with anti-bot regulations.