hu17889/go_spider
Go Spider
Go Spider is a modular framework designed for building concurrent web scrapers and data extraction workflows. It provides a structured engine for orchestrating automated crawling tasks, managing request scheduling, and processing web content through a unified pipeline.
The framework distinguishes itself through a highly configurable architecture that allows developers to inject custom logic for downloaders, schedulers, and storage components via interface-driven contracts. It manages network interactions using middleware-based request throttling and URL deduplication, ensuring that crawling operations remain efficient and respectful of server load.
The system covers the full lifecycle of data extraction, including concurrent task execution, automated parsing of various content formats, and character encoding normalization. It also provides built-in monitoring through execution logging and tracing to facilitate debugging and performance analysis. The project is distributed as a library for the Go programming language.
Features
- Concurrent Web Scraping Frameworks - Provides a modular framework for building concurrent web scrapers that manage request scheduling, data parsing, and pipeline processing in Go.
- Goroutine-Based Concurrency - Uses lightweight execution threads to manage multiple network requests and data processing tasks in parallel.
- Request Throttling - Implements configurable request throttling and randomized delays to manage server load and prevent detection during automated crawling operations.
- Pipeline Component Modularization - Isolates individual processing steps like downloading and parsing into swappable units within a data pipeline.
- Concurrent Crawling Engines - Provides a high-performance execution environment for managing parallel network requests and scraping state.
- Web Scraping Engines - Orchestrates automated crawling tasks through configurable components for downloading, deduplication, and data persistence.
- Crawl History Deduplication - Prevents redundant network requests by tracking visited URLs in a shared state store.
- Structured Data Extraction - Provides a toolkit for executing parallel network requests and processing structured web content.
- HTML Parsing and Extraction - Extracts links and structured data from HTML, JSON, and plain text content.
- Visited URL Sets - Filters incoming request queues to prevent redundant visits to the same web address.
- Request Parameter Configuration - Allows adjusting execution settings like concurrency limits, headers, and cookies to control spider behavior.
- Task Queues - Organizes pending web addresses into named queues for managed discovery and scheduling.
- Crawl Request Enqueueing - Orchestrates the discovery and prioritization of web addresses by maintaining a list of pending tasks.
- Compositional Stream Pipelines - Enables building custom data extraction workflows by composing reusable sources, pipes, and sinks.
- Module Functionality Extenders - Provides mechanisms for injecting custom downloader, scheduler, or pipeline logic.
- Interface-Driven Component Models - Uses strict interface contracts to enable interchangeable components for downloaders, schedulers, and storage.
- Middleware Rate Limiters - Integrates request flow control into the middleware chain to manage server load and avoid detection.
- Crawl Task Managers - Manages the lifecycle of individual crawl tasks, allowing for streaming results or immediate local return.
