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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 Centinel?

Centinel acts as a robust defense mechanism for websites and applications, serving as a platform that protects against both bot and AI crawler threats by validating legitimate search engines and AI crawlers while spotting scrapers and automated traffic that imitate real users. It employs a thorough assessment of incoming requests, taking into account multiple elements such as browser settings, connection attributes, and session information, allowing it to effectively distinguish between authentic crawlers, simple scripts, browser automation tools, spoofed browsers, and commercial scraping APIs rather than depending solely on one indicator. Organizations can establish customized access protocols that determine if certain traffic should be allowed, challenged, or completely blocked based on the extensive data Centinel collects. This system integrates smoothly with existing setups, utilizing a CDN, reverse proxy, or application that consults Centinel to evaluate each request prior to serving the web page or API response. Importantly, Centinel is designed to work with platforms like Cloudflare, CloudFront, Akamai, Fastly, and similar edge services, enabling teams to bolster their security without needing to change their technological infrastructure drastically. Furthermore, this flexibility allows organizations to preserve their operational effectiveness while simultaneously protecting themselves from unwanted automated activities, ensuring a balanced approach to security and performance.

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Integrations Supported

CyberYozh

Integrations Supported

ASP.NET
Amazon CloudFront
Apache HTTP Server
Azure Functions
Cloudflare
Drupal
EdgeWorkers
Fanout Cloud
NGINX
Next.js
OpenResty
Varnish
WordPress

API Availability

API Availability

Has API

Pricing Information

$0
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

CyberYozh

Date Founded

2014

Company Location

Serbia

Company Website

data.cyberyozh.pro/

Company Facts

Organization Name

Centinel Analytica

Company Location

Germany

Company Website

www.centinelanalytica.com

Categories and Features

Web Scraping

Not specified

Categories and Features

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