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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 Userparser?

Userparser serves as an API designed for parsing user-agent strings and conducting IP address lookups, converting these strings into detailed metadata along with usage analytics. By signing up, users can swiftly access parsed data related to user agents and IP addresses, enabling the identification of geographical location, browser operating system, device type, and whether the request comes from a crawler through our secure API. This complimentary tool is invaluable for developers, as it aids in discerning the specific device and IP address of users, thus facilitating the creation of more interactive and personalized user experiences. Furthermore, it enables effortless extraction of comprehensive user agent data, including the type and brand of device, viewport dimensions, operating system details, browser specifics, and various information regarding crawlers, such as their names and categories. Additionally, the tool allows for efficient IP address searches, providing essential details such as country codes and names, enhancing the understanding of user demographics and behavior. Overall, Userparser is a powerful resource for anyone looking to improve their digital interfaces based on user data insights.

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Integrations Supported

CyberYozh

Integrations Supported

CyberYozh

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Version
Free Trial Offered?

Pricing Information

$4.85/month
You can find more on Userparser website
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

Userparser

Date Founded

2021

Company Location

United Kingdom

Company Website

www.userparser.com

Categories and Features

Categories and Features

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

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