Yozh Scraper

Yozh Scraper is a scalable, open-source web scraping and crawling toolkit developed by CyberYozh, designed for reliable data extraction from complex, dynamic, and anti-bot protected websites. Built on top of Playwright and Node.js/Python, it acts as a self-hostable bridge between automated headless browsers and dynamic web scraping workflows.

Unlike standard scraping libraries, Yozh Scraper comes pre-configured to bypass modern detection mechanisms out of the box. It integrates anti-fingerprinting technologies (such as Camoufox profiles and real Google Chrome engine support), automatic timezone/locale alignment, and rotating residential or mobile proxy integration.

Key Features: Headless & Real Browser Rendering: Seamlessly switch between Playwright Chromium, Camoufox, or real Google Chrome instances to mimic legitimate user behavior.

Advanced Evasion & Spoofing: Built-in hardware fingerprint randomization (GPU, OS, screen resolution, canvas) and native navigator getters.

Proxy & Geo-Alignment: Native compatibility with CyberYozh residential and mobile proxies, automatically matching browser timezones and locales with the exit IP location.

Full Website Crawler: Features a dedicated crawler engine (Yozh Crawler) that walks sites from seed URLs, deduplicates links, respects rate limits, and streams live results via Server-Sent Events (SSE).

Session & Authentication Support: Declarative login flows and cookie management enable scraping behind authenticated paywalls and social logins (e.g., LinkedIn, Amazon, eBay).

Pre-built Presets & AI Self-Healing: Ships with optimized recipes for major e-commerce and social sites, with support for LLM-based CSS/XPath self-healing.

MCP & AI Agent Integration: Includes Model Context Protocol (MCP) server endpoints, making it easy to plug Yozh Scraper directly into LLM frameworks and AI agents (such as LangChain, N8N, or custom agents).

Visual Tester UI & REST API: Comes with an easy-to-use Node.js web dashboard (scraper-tester) for testing single-page scrapes, batch jobs, and site mapping.