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
Pholcus is a distributed web crawling system designed for large-scale data scraping. It employs a master-worker distribution model to coordinate high-concurrency scraping tasks across a network of remote client nodes, enabling both horizontal and vertical data collection. The system features a hot-loadable rule engine that allows extraction and navigation logic to be updated at runtime without restarting the process. It handles dynamic content through headless browser integration and bypasses bot detection using proxy rotation, automated user authentication, and simulated human behavior. The
CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network
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
Pholcus هو إطار عمل للزحف على الويب (Web Crawler) موزع مكتوب بلغة Go، مصمم لاستخراج البيانات بتزامن عالٍ. يعمل كمنسق زحف موزع ومحرك استخراج بيانات ديناميكي، مستخدماً معمارية خادم-عميل لتنسيق المهام عبر عقد متعددة.
الميزات الرئيسية لـ henrylee2cn/pholcus هي: Scraping Architectures, Structured Data Extraction, Web Data Collection, Distributed Crawl Coordination, Outbound IP Rotation, Proxy and User-Agent Rotation Middleware, Bot Detection Bypass, Anti-Bot Evasion.
تشمل البدائل مفتوحة المصدر لـ henrylee2cn/pholcus: apify/crawlee — Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction… andeya/pholcus — Pholcus is a distributed web crawling system designed for large-scale data scraping. It employs a master-worker… nanmicoder/crawlertutorial — CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static… apify/crawlee-python — Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive… yujiosaka/headless-chrome-crawler — This project is a distributed headless Chrome web crawler and data extraction framework. It functions as a JavaScript… wistbean/learn_python3_spider — This project is a comprehensive educational guide and framework for building web scrapers using Python. It provides a…