# -*- coding:UTF-8 -*-import requests,timefrom collections import OrderedDictimport threadingfrom bs4 import BeautifulSoup as bp    t3 = time.time()ths = []  # 存放线程def get(num):    dic = OrderedDict()    n = str(num)    data = {‘basename‘:‘BASENAME11‘,    ‘where‘:‘2PLDYDY1‘,    ‘dbpage‘:n,    ‘pagecount‘:‘5‘,    ‘order‘:‘ORDER1,ORDER2‘,    ‘orderbytype‘:‘ASC‘,    ‘searchList‘:‘SEARCHLIST11‘,    ‘isKz‘:‘0‘,    ‘id‘:‘0.40519130290516947‘}    header1 = {‘User-Agent‘:‘Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36‘,‘Referrer‘:‘http://txl.cnnic.cn/cnnic/center.do?path=txl_index‘}    page = requests.post(‘http://txl.cnnic.cn/cnnic/dBSearchForTxlAction.do‘,headers=header1,data=http://www.mamicode.com/data)  # 自定义请求头，这些请求头内容是在浏览器上看到的    t = page.text    soup = bp(t,‘xml‘)  #使用beautifulsoup解析xml文件，解析html时，将xml改为lxml    all_body = soup.find_all(‘EmailResult‘)  #查找EmailResult标签包含的所有内容，生成一个列表    for info in all_body:        print(u‘%s‘%info.NAME.text.ljust(10,‘　‘),info.FENJI.text.ljust(20,‘ ‘),info.SHOUJI.text.ljust(30),info.EMAIL.text.ljust(30),info.ZHIWU.text)  # 根据标签查找相应的text文本内容即可for num in range(75):    t1 = threading.Thread(target=get, args=(num,))    ths.append(t1)for t in ths:    t.start()for ttt in ths:    ttt.join()t4 = time.time()tt = t4 - t3print(tt)