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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

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/

Product Features

Product Features

Alternatives

Alternatives