本文主要是介绍python asyncio协程异步爬虫，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
实践一下python的asyncio异步协程相关的库，爬取豆瓣电影top250，自己边查边试，写出个最基本的用法吧。
import time
import asyncio
from functools import wrapsimport requests
import aiohttp
from lxml import etreebase_url = 'https://movie.douban.com/top250?start={}&filter='
headers = { "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.139 Safari/537.36"}#计算函数实践装饰器
def count_time(func):@wraps(func)def wrapper(*arg, **kwargs):s_time = time.time()res = func(*arg, **kwargs)e_time = time.time()c_time = e_time - s_timeprint('%s:%s' % (func.__name__, c_time))return resreturn wrapperdef download_one(url):page_source = requests.get(url, headers=headers).texthtml = etree.HTML(page_source)title_list = html.xpath('//ol[@class="grid_view"]//div[@class="hd"]/a/span[position()=1]/text()')print(title_list)@count_time
def douban_synch():for i in range(10):url = base_url.format(i * 25)download_one(url)async def download_one_synch(url, session):async with session.get(url) as response:page_source = await response.text()html = etree.HTML(page_source)title_list = html.xpath('//ol[@class="grid_view"]//div[@class="hd"]/a/span[position()=1]/text()')print(title_list)#@count_time 装饰器直接加在这里不生效
async def download_all():#官方推荐不要每一个请求都新创早一个session，所以这里用一个共用 的session，直接当参数传进去async with aiohttp.ClientSession() as session:tasks = [(download_one_synch(base_url.format(i), session)) for i in range(10)]#官方文档例子中用的gather并发执行await asyncio.gather(*tasks)@count_time
def douban_asynch():#同样，官方例子同用的run方法asyncio.run(download_all())if __name__ == '__main__':douban_synch()douban_asynch()
运行结果：
douban_synch:3.096079111099243
douban_asynch:0.32878708839416504
同步的3秒，异步的0.3秒，速度提升10倍，所以说效果还是很不错的。
参考：
https://docs.python.org/3/library/asyncio-task.html#running-tasks-concurrently
https://docs.aiohttp.org/en/stable/client_quickstart.html
https://blog.csdn.net/SL_World/article/details/86633611
https://morvanzhou.github.io/tutorials/data-manipulation/scraping/4-02-asyncio/
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