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X-Ray is a web scraping framework and asynchronous web crawler designed to extract structured data from websites. It functions as an HTML data extractor that transforms raw page content into a defined schema using CSS-style selectors. The project implements a headless browser crawler capable of executing JavaScript to render dynamic content. It handles website content discovery through a breadth-first crawling strategy and automatic pagination discovery to traverse multi-page result sets. The framework manages web data pipelines using a concurrency-limited request queue and request rate cont
Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive tool for web scraping automation, providing a system to extract structured data from websites using both lightweight HTTP requests and headless browser automation. The framework is distinguished by its anti-bot evasion capabilities, which include browser fingerprint impersonation and tiered proxy rotation to bypass detection systems and solve challenges such as Cloudflare. It also incorporates artificial intelligence for autonomous website navigation and schema-based data extra
Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob
This project is a distributed web crawling framework that enables the horizontal scaling of scraping tasks. It uses Redis as a centralized request queue manager and state store to coordinate crawl progress and request metadata across multiple server instances. The system distributes crawling workloads by sharing a single request queue and utilizes a distributed duplicate filter to prevent multiple workers from visiting the same page. It persists complex request state and metadata as JSON strings within the shared remote store. The framework also provides capabilities for distributed data pro
This project is a distributed headless Chrome web crawler and data extraction framework. It functions as a JavaScript rendering engine that uses a headless browser to process dynamic pages, extracting structured data from websites that require JavaScript execution.
The main features of yujiosaka/headless-chrome-crawler are: Headless Rendering Engines, Website Crawlers and Scrapers, JavaScript Rendering, Distributed Cache Synchronizers, Distributed Web Crawling, Crawl History Deduplication, Structured Data Extraction, Domain-Restricted Crawling.
Projects with overlapping indexed features include: lapwinglabs/x-ray — X-Ray is a web scraping framework and asynchronous web crawler designed to extract structured data from websites. It… apify/crawlee-python — Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive… apify/crawlee — Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction… rolando/scrapy-redis — This project is a distributed web crawling framework that enables the horizontal scaling of scraping tasks. It uses… binux/pyspider — PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for… psf/requests-html — requests-html is a Python HTML parsing library and web scraping framework. It functions as an asynchronous HTTP client…