Python爬虫过程解析之多线程获取小米应用商店数据

page: 1
categoryId: 2
pageSize: 30

import requests
from threading import Thread
from queue import Queue
import json
import time
class XiaomiSpider(object):
def __init__(self):
   self.headers = {'User-Agent':'Mozilla/5.0'}
   self.url = 'http://app.mi.com/categotyAllListApi?page={}&categoryId=15&pageSize=30'
def main(self):
pass
if __name__ == '__main__':
  imageSpider = XiaomiSpider()
  imageSpider.main()

self.url_queue = Queue()

def url_in(self):
# 拼接多个URL地址,然后put()到队列中
for i in range(67):
self.url.format((str(i)))
self.url_queue.put(self.url)

defget_page(self):
# 先get()URL地址,发请求
while True:
# 当队列不为空时,获取url地址
if not self.url_queue.empty():
      url = self.url_queue.get()
      html = requests.get(url,headers=self.headers).text
self.parse_page(html)
else:
break

# 解析函数
def parse_page(self,html):
  app_json = json.loads(html)
for app in app_json['data']:
# 应用名称
    name = app['displayName']
# 应用链接
    link = 'http://app.mi.com/details?id={}'.format(app['packageName'])
    d = { '名称' : name,'链接' : link }
    print(d)

def main(self):
self.url_in()
# 存放所有线程的列表
  t_list = []
for i in range(10): 
    t = Thread(target=self.get_page)
    t.start() 
    t_list.append(t)

# 统一回收线程for p in t_list:   p.join()

start = time.time()
spider = XiaomiSpider()
spider.main()
end = time.time()
print('执行时间:%.2f' % (end-start))