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Description
A significant amount of ecommerce information is confined within closed platforms or filtered through merchant feeds, leading to sellers selectively showcasing what they want to present. Extralt, however, provides access to the actual data that exists.
Our system retrieves structured product information from any ecommerce platform, standardizes it into a universal format, and identifies identical products across different sellers. This process unfolds in four distinct phases: Extract, which crawls various sites to generate consistent structured data; Enrich, which translates product details into English, categorizes using the Shopify taxonomy, highlights specific attributes, and aligns products from different sellers; Extend, which identifies the same product across multiple sites, uncovers alternatives, and connects related items; and Explore, which allows users to search, compare prices, and perform analytics on the entire data set. Users are charged for the Extract and Enrich phases, while the Extend and Explore functionalities are offered at no cost.
We developed our extraction engine because scraping ecommerce sites can be extremely challenging to maintain. Conventional scrapers often fail when there are changes in site layouts, while AI-driven scrapers, although flexible, can be prohibitively expensive to implement across every page. Therefore, our solution not only ensures reliability but also enhances accessibility to crucial 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.
API Access
Has API
API Access
Has API
Screenshots View All
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Screenshots View All
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Integrations
CyberYozh
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Extralt
Founded
2026
Country
France
Website
extralt.com
Vendor Details
Company Name
CyberYozh
Founded
2014
Country
Serbia
Website
data.cyberyozh.pro/