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Description
Olostep stands out as an API platform designed for web data extraction, catering to both AI developers and programmers by facilitating the quick and dependable retrieval of organized data from publicly available websites. The platform allows users to scrape individual URLs, perform comprehensive site crawls even in the absence of a sitemap, and submit large batches of approximately 100,000 URLs for extensive data collection; it can return data in various formats including HTML, Markdown, PDF, or JSON, while custom parsing options enable users to extract precisely the data structure they require. Among its many features are complete JavaScript rendering, access to premium residential IPs along with proxy rotation, effective CAPTCHA resolution, and built-in tools for managing rate limits or recovering from failed requests. Additionally, Olostep excels in PDF and DOCX parsing and provides browser automation functions such as clicking, scrolling, and waiting, which enhance its usability. The platform is designed to manage high volumes of traffic, processing millions of requests daily, and promotes affordability by asserting a cost reduction of up to 90% compared to traditional solutions, complemented by free trial credits for teams to evaluate the API's capabilities before committing to a plan. With such comprehensive offerings, Olostep has positioned itself as a valuable resource for developers seeking efficient data extraction solutions.
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon
Yes
Bing
Yes
Brave Browser
Yes
CyberYozh
No
Gemini
Yes
Gemini Enterprise
Yes
Google Cloud Platform
Yes
Google Maps
Yes
HTML
Yes
Instagram
Yes
Integrations
Amazon
No
Bing
No
Brave Browser
No
CyberYozh
Yes
Gemini
No
Gemini Enterprise
No
Google Cloud Platform
No
Google Maps
No
HTML
No
Instagram
No
Pricing Details
$9 per month
Free Trial
No
Free Version
Yes
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Olostep
Founded
2025
Country
United States
Website
www.olostep.com
Vendor Details
Company Name
CyberYozh
Founded
2014
Country
Serbia
Website
data.cyberyozh.pro/