Yozh Scraper

What Is Yozh Scraper?

Yozh Scraper is an open-source web scraping platform from CyberYozh that uses Playwright to extract data from dynamic websites. It includes a scraper service that renders pages in a real browser and returns structured data, raw HTML, or screenshots. A separate crawler service discovers and processes pages starting from a seed URL.

The platform supports ready-made extraction presets, CSS and XPath selectors, proxy integration, and authenticated sessions for websites that require login. Its API endpoints allow developers to integrate scraping tasks into other applications, making it useful for automated data collection, website monitoring, and research workflows.

What Is Yozh Scraper Best For?

Yozh Scraper is best for scraping sites with strong anti-bot protection, as it gives users a controllable browser fingerprint. Users can choose between Chromium or the anti-detect Camoufox engine and set the operating system and GPU the browser claims. Camoufox scrapes also report the fingerprint they used, so users can verify the setup.

How Much Does Yozh Scraper Cost?

Yozh Scraper is free to use. It is open source under the MIT license, so there are no plans, tiers, or license fees. It is self-hosted rather than offered as a hosted service.

Although there are no software licensing fees, deploying Yozh Scraper in production may involve the following additional costs:

• Proxy Services: Can cost $2 to $100+/month, depending on usage volume and proxy type
• Cloud Server/Hosting: Cost generally spans $20 to $100/month for standard deployments. Yozh Scraper runs inside Docker containers and scales horizontally across multiple scraper workers for larger workloads
• Storage And Database/Queue Infrastructure: May range from $5 to $30/month to handle database storage, logs, scraped output, and job state managed via Redis

Disclaimer: The pricing is subject to change.

Yozh Scraper Integrations

Yozh Scraper connects with external tools and services, such as:

• Claude Code
• Claude Desktop
• Cursor AI
• LangChain
• n8n
• OpenAI Software
• Claude Anthropic
• Google Gemini
• OpenRouter

How Does Yozh Scraper Work?

Install the software on your own server and follow these steps to start collecting data:

• Set up the stack with Docker by adding your settings to the .env file, then start the scraper and crawler services
• Submit a scrape request with a target URL, and choose the proxy type, browser engine, and the fields you want to extract
• Check the job status and fetch the results, which can include extracted fields, raw HTML, or a full-page screenshot
• Scrape popular sites by name with built-in presets, or use sessions to log in and scrape pages that require sign-in
• Use the crawler to walk through an entire site from one starting URL, and add more workers to handle larger jobs

Who Is Yozh Scraper For?

The software is designed for several roles and use cases, including:

• Developers and engineering teams
• Data engineering teams
• AI agent and automation builders
• E-commerce and price monitoring teams
• Market research and competitive intelligence teams
• SEO and search monitoring teams

Yozh Scraper Use Cases

Based on our evaluation of Yozh Scraper features, we have identified several scenarios in which the software can be the right choice:

E-Commerce Teams Tracking Product Data Across Marketplaces

E-commerce teams that monitor listings on marketplaces like Amazon, eBay, and Walmart often have to build and maintain a separate scraping setup for each site. Yozh Scraper ships built-in presets for these sites, so a team can scrape a product by name and identifier, such as an Amazon ASIN, instead of assembling a request by hand.

Data Teams Scraping Sites With Strong Anti-Bot Protection

Data teams collecting from search engines and other protected sites regularly run into IP bans and blocked requests. The tool lets them route requests through residential rotating proxies, target a specific country, and choose the Camoufox browser engine with a fingerprint profile that matches a realistic machine.

AI Agent Builders Needing Live Web Data

Developers building AI agents frequently need a way to fetch live web pages without writing custom scraping code for each workflow. Yozh Scraper exposes its tools through an MCP endpoint, so agents built with Claude, LangChain, or n8n can submit a scrape, check its status, and fetch the results on their own.

Research Teams Collecting Data From Entire Websites

Teams that need every page of a site, such as for content audits or catalog collection, cannot realistically submit URLs one by one. Yozh Crawler starts from a single seed URL and walks the site, sending each page through the scraper, with deduplication, scope control, rate limiting, and retries built in.

Is Yozh Scraper Right For You?

Yozh Scraper is a good fit for developers and businesses that need scalable web data extraction, particularly from dynamic websites and pages that require authenticated sessions. Its Playwright-based scraper returns structured fields, raw HTML, or full-page screenshots, while the companion crawler discovers and processes multiple pages with URL deduplication, rate limiting, and retries. Built-in presets for sites such as Amazon, Google, eBay, and LinkedIn can simplify recurring extraction tasks.

For teams building AI-powered workflows, both services support the Model Context Protocol (MCP), allowing AI agents to trigger scraping and crawling jobs. The system uses a Redis-backed job queue and supports additional scraper workers as workloads grow. Its self-hosted deployment also gives teams control over infrastructure, stored sessions, and LLM provider keys. However, teams should configure access carefully because the MCP endpoints are unauthenticated by default, while sensitive session operations are protected by a service token.

If you're still unsure whether Yozh Scraper is the right choice for your business, contact our team at (661) 384-7070, and they will help you make an informed decision.