code: def wrap_star_digger(item, type_str, data_name='Value'):
      
      ret = []
      if type(item) == dict:
          if 'Type' in item and item['Type'] == type_str and data_name in item:  # 'Business.Consumer_Product.Description'
              if len(item[data_name]) > 1:
                  # print 'length error!!!!!!!!!!!'
                  pass
              return item[data_name]
          else:
              for k in item:
                  sub_ret = wrap_star_digger(item[k], type_str, data_name)
                  if sub_ret:
                      ret.extend(sub_ret)
      elif type(item) == list:
          for i in item:
              sub_ret = wrap_star_digger(i, type_str, data_name)
              if sub_ret:
                  ret.extend(sub_ret)
      return ret
docs: code used to extract data from Bing's wrap star
      :param item: wrap star obj
      :param type_str: target type string
      :param data_name: target data label, might be "Entities", "Properties", 'Value'
      :return: list of all matched target, arranged in occurance