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henrylee2cn avatar

henrylee2cn/pholcus

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7,578 estrellas·1,675 forks·Go·Apache-2.0·7 vistas

Pholcus

Pholcus es un framework de web crawler distribuido escrito en Go, diseñado para la extracción de datos de alta concurrencia. Funciona como un orquestador de rastreo distribuido y un motor de extracción de datos dinámicos, utilizando una arquitectura servidor-cliente para coordinar tareas a través de múltiples nodos.

El sistema integra un motor de navegador headless para renderizar contenido dinámico y ejecutar JavaScript, permitiéndole extraer datos de aplicaciones de una sola página (SPA). Cuenta con una interfaz de gestión basada en web para configurar parámetros de arañas y monitorear el progreso de la ejecución, junto con la capacidad de actualizar reglas de extracción mediante archivos de configuración con recarga en caliente (hot-reloading) sin reiniciar el sistema.

La gestión del tráfico se maneja mediante la rotación de pools de proxies y la aleatorización de solicitudes para evadir la detección de bots y evitar límites de tasa. El framework incluye recuperación de puntos de control basada en estado para reanudar tareas tras fallos y proporciona adaptadores de almacenamiento conectables para exportar datos extraídos a bases de datos, colas de mensajes o archivos.

Features

  • Scraping Architectures - Provides a distributed architecture for scaling high-concurrency data extraction across multiple server and client nodes.
  • Structured Data Extraction - Provides a dynamic engine for defining scraping logic to extract structured data from websites.
  • Web Data Collection - Enables the creation of custom spiders with specific extraction rules to gather and save web-based information.
  • Distributed Crawl Coordination - Coordinates high-concurrency crawling tasks across multiple nodes using a central server-client distribution model.
  • Outbound IP Rotation - Cycles outgoing requests through a pool of proxy IP addresses to avoid rate limits and IP bans.
  • Proxy and User-Agent Rotation Middleware - Features middleware that rotates proxy IP addresses and user agents to evade bot detection and rate limits.
  • Bot Detection Bypass - Bypasses bot detection and rate limits by rotating proxy IPs and mimicking human browser behavior.
  • Anti-Bot Evasion - Implements request randomization and cookie/user-agent management to mimic human behavior and bypass bot detection.
  • JavaScript-Rendered Content Extractors - Executes JavaScript via a headless browser engine to extract structured data from dynamic single-page applications.
  • Distributed Crawler Orchestrators - A distributed web scraping framework written in Go for high-concurrency data extraction across multiple nodes.
  • Headless Crawlers - Utilizes a headless browser to render dynamic content and execute JavaScript to bypass security checks.
  • Dynamic Content Extraction - Fetches data from single-page applications by rendering JavaScript-heavy content on the server.
  • Web Crawling Orchestrators - Functions as a coordinator managing proxy rotation and checkpointing for reliable large-scale data collection.
  • Extraction Rule Sets - Implements scraping logic through compiled code or hot-reloaded configuration files for flexible data extraction.
  • Crawl State Recovery - Persists task status and request progress to resume crawling from the last successful checkpoint after a failure.
  • Configuration Hot-Reloading - Allows scraping rules and extraction patterns to be updated in real time without restarting the system.
  • Headless Browser Orchestrators - Implements a system to manage and control headless browser instances for rendering dynamic single-page applications.
  • Crawler Configuration Managers - Provides a visual interface to control high-concurrency scraping tasks and monitor execution progress.
  • Management Interfaces - Provides a web-based interface for configuring spider parameters, managing task execution, and monitoring scraping progress.
  • Web Scraping Management Interfaces - Ships a web-based management interface for configuring spider parameters and monitoring distributed scraping processes.
  • Go Crawling Frameworks - Distributed, high-concurrency web crawler.
  • Web Crawlers - Distributed high-concurrency crawler.

Historial de estrellas

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Preguntas frecuentes

¿Qué hace henrylee2cn/pholcus?

Pholcus es un framework de web crawler distribuido escrito en Go, diseñado para la extracción de datos de alta concurrencia. Funciona como un orquestador de rastreo distribuido y un motor de extracción de datos dinámicos, utilizando una arquitectura servidor-cliente para coordinar tareas a través de múltiples nodos.

¿Cuáles son las características principales de henrylee2cn/pholcus?

Las características principales de henrylee2cn/pholcus son: 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.

¿Qué alternativas de código abierto existen para henrylee2cn/pholcus?

Las alternativas de código abierto para henrylee2cn/pholcus incluyen: 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…