Python异步IO深度优化:构建高性能Web爬虫系统

2025-07-30 0 386

Python异步IO深度优化:构建高性能Web爬虫系统

一、核心技术

import aiohttp
import asyncio

async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()

async def main(urls):
    async with aiohttp.ClientSession() as session:
        tasks = [fetch(session, url) for url in urls]
        return await asyncio.gather(*tasks)

urls = ['http://example.com/1', 'http://example.com/2']
results = asyncio.run(main(urls))

二、完整案例

class AsyncSpider:
    def __init__(self, concurrency=10):
        self.semaphore = asyncio.Semaphore(concurrency)
    
    async def crawl(self, url):
        async with self.semaphore:
            # 实现请求限流
            data = await self.fetch(url)
            return self.parse(data)
    
    async def run(self, urls):
        tasks = [self.crawl(url) for url in urls]
        return await asyncio.gather(*tasks)
Python异步IO深度优化:构建高性能Web爬虫系统
收藏 (0) 打赏

感谢您的支持,我会继续努力的!

打开微信/支付宝扫一扫,即可进行扫码打赏哦,分享从这里开始,精彩与您同在
点赞 (0)

淘吗网 uniapp Python异步IO深度优化:构建高性能Web爬虫系统 https://www.taomawang.com/web/uniapp/696.html

常见问题

相关文章

发表评论
暂无评论
官方客服团队

为您解决烦忧 - 24小时在线 专业服务