python爬虫之aiohttp多任务异步爬虫

爬取的flash服务如下:

from flask import Flask
import time

app = Flask(__name__)


@app.route('/bobo')
def index_bobo():
    time.sleep(2)
    return 'Hello bobo'

@app.route('/jay')
def index_jay():
    time.sleep(2)
    return 'Hello jay'

@app.route('/tom')
def index_tom():
    time.sleep(2)
    return 'Hello tom'

if __name__ == '__main__':
    app.run(threaded=True)

运行启动flask服务后,多任务爬取代码如下:

#环境安装:pip install aiohttp
#使用该模块中的ClientSession
import requests
import asyncio
import time
import aiohttp

start = time.time()
urls = [
    'http://127.0.0.1:5000/bobo','http://127.0.0.1:5000/jay','http://127.0.0.1:5000/tom'
]

async def get_page(url):
    async with aiohttp.ClientSession() as session:
        #get()、post():
        #headers,params/data,proxy='http://ip:port'
        async with await session.get(url) as response:
            #text()返回字符串形式的响应数据
            #read()返回二进制形式的响应数据
            #json()返回的就是json对象
            #注意:获取响应数据操作之前一定要使用await进行手动挂起
            page_text = await response.text()
            print(page_text)

tasks = []

for url in urls:
    c = get_page(url)
    task = asyncio.ensure_future(c)
    tasks.append(task)

loop = asyncio.get_event_loop()
loop.run_until_complete(asyncio.wait(tasks))

end = time.time()

print('总耗时:',end-start)

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