以往爬虫都是用自己写的一个爬虫框架，一群Workers去Master那领取任务后开始爬。进程数量等于处理器核心数，通过增开线程数提高爬取速度。
最近看了Celery，接口真是优美，挺想试验下异步模型来写个爬虫。
模拟目标
为了方便测试，用Tornado搭了一个简易的服务器，用来模拟被爬的网站。
功能很简单，每个请求阻塞6秒才回复
import tornado.webimport tornado.ioloopimport timefrom concurrent.futures import ThreadPoolExecutorfrom tornado.concurrent import run_on_executorimport tornado.genclass MainHandler(tornado.web.RequestHandler):
executor = ThreadPoolExecutor(40) @tornado.web.asynchronous @tornado.gen.coroutine
def get(self):
print(time.asctime()) yield self.sleep(6)
self.write('from server:' + time.asctime())
self.finish() @run_on_executor
def sleep(self, sec):
time.sleep(sec)if __name__ == '__main__':
app = tornado.web.Application(handlers=[
('^/.*', MainHandler)
])
app.listen(10240)
tornado.ioloop.IOLoop.instance().start()消费者
task里就一个spider函数，功能是利用gevent去请求给定的目标
import gevent.monkey
gevent.monkey.patch_socket()from celery import Celeryimport socketimport requestsimport gevent
app = Celery('tasks',
broker='redis://127.0.0.1:6379/3',
backend='redis://127.0.0.1:6379/3')@app.taskdef spider(url):
resp = gevent.spawn(requests.get, url)
tmp = 0
while True:
print('wait...', tmp) if resp.ready(): return 'from:' + socket.getfqdn() + '\nres:' + str(resp.value.text)
gevent.sleep(1)
tmp += 1用gevent模式启动Celery
celery worker -A tasks --loglevel info -c 100 -P gevent
生产者
利用刚刚编写的spider函数去爬取目标
测试中，下面代码开了6个进程，结果均在7秒内返回，证明成功了。
from tasks import spiderimport timeimport random
res = spider.delay('http://127.0.0.1:10240/{}'.format(random.randint(1, 999)))
i = 0while True: if res.ready():
print('res:', res.get()) break
else:
print('wait...', i)
time.sleep(1)
i += 1Celery的部分日志输出：
可以看出在一个Celery进程内，多个spider函数轮替执行的
[2016-08-20 21:27:11,281: INFO/MainProcess] Starting new HTTP connection (1): 127.0.0.1[2016-08-20 21:27:11,313: INFO/MainProcess] Received task: tasks.spider[7b8b6f63-2bef-491e-a3a8-fdbcff824b9c][2016-08-20 21:27:11,314: WARNING/MainProcess] wait...[2016-08-20 21:27:11,314: WARNING/MainProcess] 0[2016-08-20 21:27:11,316: INFO/MainProcess] Starting new HTTP connection (1): 127.0.0.1[2016-08-20 21:27:11,354: INFO/MainProcess] Received task: tasks.spider[5aa05e65-504d-4a04-8247-3f5708bfa46f][2016-08-20 21:27:11,356: WARNING/MainProcess] wait...[2016-08-20 21:27:11,356: WARNING/MainProcess] 0[2016-08-20 21:27:11,357: INFO/MainProcess] Starting new HTTP connection (1): 127.0.0.1[2016-08-20 21:27:11,821: WARNING/MainProcess] wait...[2016-08-20 21:27:11,821: WARNING/MainProcess] 1[2016-08-20 21:27:11,989: WARNING/MainProcess] wait...[2016-08-20 21:27:11,990: WARNING/MainProcess] 1[2016-08-20 21:27:12,059: WARNING/MainProcess] wait...[2016-08-20 21:27:12,059: WARNING/MainProcess] 2[2016-08-20 21:27:12,208: WARNING/MainProcess] wait...[2016-08-20 21:27:12,209: WARNING/MainProcess] 1[2016-08-20 21:27:12,225: WARNING/MainProcess] wait...[2016-08-20 21:27:12,225: WARNING/MainProcess] 1[2016-08-20 21:27:12,246: WARNING/MainProcess] wait...[2016-08-20 21:27:12,247: WARNING/MainProcess] 2[2016-08-20 21:27:12,282: WARNING/MainProcess] wait...[2016-08-20 21:27:12,282: WARNING/MainProcess] 1[2016-08-20 21:27:12,316: WARNING/MainProcess] wait...[2016-08-20 21:27:12,316: WARNING/MainProcess] 1[2016-08-20 21:27:12,357: WARNING/MainProcess] wait...[2016-08-20 21:27:12,357: WARNING/MainProcess] 1[2016-08-20 21:27:12,823: WARNING/MainProcess] wait...[2016-08-20 21:27:12,823: WARNING/MainProcess] 2[2016-08-20 21:27:12,991: WARNING/MainProcess] wait...[2016-08-20 21:27:12,992: WARNING/MainProcess] 2[2016-08-20 21:27:13,061: WARNING/MainProcess] wait...[2016-08-20 21:27:13,061: WARNING/MainProcess] 3[2016-08-20 21:27:13,210: WARNING/MainProcess] wait...[2016-08-20 21:27:13,211: WARNING/MainProcess] 2[2016-08-20 21:27:13,227: WARNING/MainProcess] wait...[2016-08-20 21:27:13,227: WARNING/MainProcess] 2
最后
借助Celery，爬虫很容易实现横向扩展，在多台服务器上增加消费者进程即可；
借助gevent，单进程内requests做到了非阻塞，而我过去是用多线程对付阻塞的。
Celery，gevent我也是初学一天，这小玩意儿做出来后，得开始看文档了深入了解了！
作者：spencer404
链接：https://www.jianshu.com/p/c1e53cc32d4d