Async Web Crawler
Python / aiohttp / BFS / 2025
Project Overview
A high-performance asynchronous web crawler built using Python's aiohttp and BeautifulSoup. Designed to traverse thousands of web pages efficiently, it employs a breadth-first search (BFS) strategy to map out domains, extract specific patterns (like emails or metadata), and index large-scale data rapidly.
Crawler Architecture
Seed URLs
(Queue Initialization)
(Queue Initialization)
Async Workers
(aiohttp Concurrent Requests)
(aiohttp Concurrent Requests)
DOM Parser
(BeautifulSoup4 / Regex)
(BeautifulSoup4 / Regex)
Data Sink
(CSV / Database Export)
(CSV / Database Export)
Key Technical Features
- Asynchronous Concurrency: Maximizes network I/O efficiency using Python's asyncio event loop.
- Polite Scraping: Implements robust rate limiting, adaptive timeouts, and custom User-Agent rotation.
- Memory Efficiency: Utilizes memory-optimized queues and sets to handle massive URL states without memory leaks.