协程-爬虫示例

from gevent import monkey;monkey.patch_all()#打补丁，使gevent识别I/O阻塞进而实现协程
import requests,re,gevent,time


def get_info(url):#爬网页函数
    res = requests.get(url)
    print(len(res.text))
    return res.text


def prase(res):#解析网页数据函数
    res_name = re.findall(r'title="(?P<name>S+s?S*?)"', res)
    move_name = []
    for i in res_name[::2]:
        move_name.append(i.split('"')[0])
    move_actor = re.findall(r'主演：S+', res)#(?P<name>主演：S+)/?
{0,1}
    for i in range(len(move_name)):
        with open('movie_info.txt','a') as f:
            f.write('电影名：%s , %s'%(move_name[i],move_actor[i].split('<')[0]))
            f.write('
')

urls = [
    'http://maoyan.com/board/7',
    'http://maoyan.com/board/6',
    'http://maoyan.com/board/1',
    'http://maoyan.com/board/2',
    'http://maoyan.com/board/4',
]

if __name__ == '__main__':
    start = time.time()
    # g_l = []
    for url in urls:
        # print(url)
        g = gevent.spawn(prase,get_info(url))
        # g_l.append(g)
    # gevent.joinall(g_l)
    g.join()#之所以只加一个join而不用joinall是因为主进程会等get_info(url)作为参数执行完了,主进程不会等prase执行完所以让主进程等最后一个prase即可
    print('解析结束',time.time()-start)

协程确实运行很快，轻量化，节约cpu与内存使用，可以实现高并发量（伪）