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Average Ratings 0 Ratings
Description
WebCrawlerAPI serves as an effective solution for developers aiming to streamline the processes of web crawling and data extraction. It features a user-friendly API that allows users to obtain content from various websites in formats such as text, HTML, or Markdown, which is particularly beneficial for training artificial intelligence models or conducting data-driven operations. With an impressive success rate of 90% and an average crawling duration of 7.3 seconds, this API adeptly navigates challenges including the management of internal links, elimination of duplicates, JavaScript rendering, counteracting anti-bot measures, and accommodating large-scale data storage. Furthermore, it integrates smoothly with a range of programming languages, such as Node.js, Python, PHP, and .NET, enabling developers to initiate projects with minimal code. In addition to these features, WebCrawlerAPI automates the data cleaning process, guaranteeing high-quality results for subsequent usage. Converting HTML into structured text or Markdown can involve intricate parsing rules, and effectively managing multiple crawlers across various servers adds another layer of complexity. Thus, WebCrawlerAPI emerges as an essential resource for developers focused on efficient and effective web data extraction.
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
.NET
Yes
CyberYozh
No
HTML
Yes
JavaScript
Yes
Markdown
Yes
Node.js
Yes
PHP
Yes
Python
Yes
Integrations
.NET
No
CyberYozh
Yes
HTML
No
JavaScript
No
Markdown
No
Node.js
No
PHP
No
Python
No
Pricing Details
$2 per month
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
WebCrawlerAPI
Country
United States
Website
webcrawlerapi.com
Vendor Details
Company Name
CyberYozh
Founded
2014
Country
Serbia
Website
data.cyberyozh.pro/