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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 A-Parser?

A-Parser is a sophisticated self-managed system built for efficient web scraping and data collection, specifically aimed at SEO professionals, marketers, software developers, data engineers, and e-commerce teams. The platform includes over 110 ready-made parsers that accommodate a wide range of online platforms, such as search engines, Google Maps, YouTube, SEO analytics tools, keyword research platforms, and domain services, among others. Furthermore, it empowers users to develop personalized scrapers using languages like RegEx, XPath, JavaScript, and TypeScript, while also enabling automated browser-based data extraction via Chromium and Puppeteer. Users can effectively manage and rotate proxies, and they can perform both nested and sequential scraping operations seamlessly. A-Parser is compatible with Windows and Linux systems, and it can also be utilized on macOS through Docker, featuring a web-based user interface alongside an HTTP/JSON API tailored for enterprise users. This extensive range of capabilities positions A-Parser as an essential resource for those seeking to gather and interpret data from the internet with maximum efficiency. With its robust features and user-friendly interface, it caters to both novice and expert users alike, enhancing the data collection experience.

Media

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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

$179/lifetime
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

A-Parser

Date Founded

2012

Company Location

United Kingdom

Company Website

a-parser.com/en/

Categories and Features

Categories and Features

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