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What is Yozh Scraper?

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.

What is Extralt?

A considerable portion of ecommerce data is trapped within proprietary platforms or selectively filtered through merchant feeds, causing sellers to exhibit only what they wish to highlight; in contrast, Extralt grants access to the raw data that actually exists. Our system captures structured product information from any ecommerce site, normalizes it into a consistent format, and detects identical products sold by various vendors. This operation unfolds in four key stages: Extract, which scrapes multiple websites to create standardized structured data; Enrich, which converts product information into English, categorizes it using the Shopify taxonomy, emphasizes specific characteristics, and synchronizes items from different sellers; Extend, which finds the same product across various platforms, reveals alternatives, and links related products; and Explore, which empowers users to search, compare prices, and analyze the entire dataset. Users incur charges during the Extract and Enrich stages, while the Extend and Explore features are provided free of charge. To address the complexities of scraping ecommerce sites, we developed our extraction engine, as conventional scrapers are often difficult to maintain due to frequent changes in website layouts. While AI-based scrapers offer flexibility, they can be excessively costly to deploy across every page. Thus, our solution not only guarantees reliability but also significantly improves accessibility to vital data, making it easier for sellers and consumers alike to navigate the ecommerce landscape efficiently. This ultimately fosters a more transparent marketplace where users can make informed purchasing decisions.

Media

No images available

Media

No images available

Integrations Supported

CyberYozh

Integrations Supported

CyberYozh

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CyberYozh

Date Founded

2014

Company Location

Serbia

Company Website

data.cyberyozh.pro/

Company Facts

Organization Name

Extralt

Date Founded

2026

Company Location

France

Company Website

extralt.com

Categories and Features

Categories and Features

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