Python查询阿里巴巴关键字排名的方法

本文实例讲述了Python查询阿里巴巴关键字排名的方法。分享给大家供大家参考。具体如下：

这里使用python库urllib及pyquery基本东西的应用，实现阿里巴巴关键词排名的查询，其中涉及到urllib代理的设置，pyquery对html文档的解析

1. urllib 基础模块的应用，通过该类获取到url中的html文档信息，内部可以重写代理的获取方法

    class ProxyScrapy(object):
      def __init__(self):
        self.proxy_robot = ProxyRobot()
        self.current_proxy = None
        self.cookie = cookielib.CookieJar()
      def __builder_proxy_cookie_opener(self):    
        cookie_handler = urllib2.HTTPCookieProcessor(self.cookie)
        handlers = [cookie_handler]
        if PROXY_ENABLE:
          self.current_proxy = ip_port = self.proxy_robot.get_random_proxy()
          proxy_handler = urllib2.ProxyHandler({'http': ip_port[7:]})
          handlers.append(proxy_handler)
        opener = urllib2.build_opener(*handlers)
        urllib2.install_opener(opener)
        return opener
      def get_html_body(self,url):
        opener = self.__builder_proxy_cookie_opener()
        request=urllib2.Request(url)
        #request.add_header("Accept-Encoding", "gzip,deflate,sdch")
        #request.add_header("Accept", "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8")
        #request.add_header("Cache-Control", "no-cache")
        #request.add_header("Connection", "keep-alive")
        try:
          response = opener.open(request,timeout=2)
          http_code = response.getcode()
          if http_code == 200:
            if PROXY_ENABLE:
              self.proxy_robot.handle_success_proxy(self.current_proxy)
            html = response.read()
            return html
          else:
            if PROXY_ENABLE:
              self.proxy_robot.handle_double_proxy(self.current_proxy)
            return self.get_html_body(url)
        except Exception as inst:
          print inst,self.current_proxy
          self.proxy_robot.handle_double_proxy(self.current_proxy)
          return self.get_html_body(url)

2. 根据输入的公司名及关键词列表，返回每个关键词的排名

    def search_keywords_rank(keyword_company_name, keywords):
      def get_context(url):
        start=clock()
        html=curl.get_html_body(url)
        finish=clock()
        print url,(finish-start)
        d = pq(html)
        items = d("#J-items-content .ls-item")
        items_c = len(items)
        print items_c
        if items_c < 38:
          return get_context(url)
        return items, items_c
      result = OrderedDict()
      for keyword in keywords:
        for page_index in range(1,9):
          u = url % (re.sub('\s+', '_', keyword.strip()), page_index)
          items, items_c = get_context(u)
          b = False
          for item_index in range(0, items_c):
            e=items.eq(item_index).find('.title a')
            p_title = e.text()
            p_url = e.attr('href')
            e=items.eq(item_index).find('.cright h3 .dot-product')
            company_name = e.text()
            company_url = e.attr('href')
            if keyword_company_name in company_url:
              total_index = (page_index-1)*38 +item_index+1+(0 if page_index==1 else 5)
              print 'page %s, index %s, total index %s' % (page_index, item_index+1, total_index)
              b = True
              if keyword not in result:
                result[keyword] = (p_title, p_url, page_index, item_index+1, total_index, u)
              break
          if b:
            break
      return result

希望本文所述对大家的Python程序设计有所帮助。