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Average Ratings 0 Ratings
Description
Organize your web scraping tasks, keep tabs on their efficiency, and utilize proxies through the ScrapeOps interface. With access to over 20 proxy providers via our integrated proxy aggregator, we simplify the process of selecting the most effective proxies for your needs. You can link your server to ScrapeOps, deploy your code directly from GitHub, and schedule your scraping operations seamlessly. The ScrapeOps dashboard allows for straightforward monitoring of your scrapers, error logging, health check configurations, and alert notifications. This platform is designed as a holistic solution for web scraping, providing functionalities for scheduling tasks, real-time oversight, error management, and proxy handling. Users can connect their servers and GitHub accounts to efficiently manage scraping jobs across various platforms from a single interface. Additionally, the ScrapeOps SDK offers both real-time and historical statistics for your jobs, helping you track progress, make comparisons with past runs, and recognize patterns to enhance your scraping strategies. With these tools at your disposal, optimizing your web scraping endeavors becomes more efficient and user-friendly.
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Bright Data
Yes
CyberYozh
No
GitHub
Yes
ScraperAPI
Yes
ScrapingBee
Yes
SuperNova Proxies
Yes
Zyte
Yes
Integrations
Bright Data
No
CyberYozh
Yes
GitHub
No
ScraperAPI
No
ScrapingBee
No
SuperNova Proxies
No
Zyte
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ScrapeOps
Website
scrapeops.io
Vendor Details
Company Name
CyberYozh
Founded
2014
Country
Serbia
Website
data.cyberyozh.pro/