xpath解析小案例

2021-10-09 18:51:31 字數 1550 閱讀 9772

# -*- coding: utf-8 -*-


# @time    : 2020/9/25 9:34


# @author  : awayasaway


# @file    : 全國城市名稱爬取.py


# @ide     : pycharm


# @url     : 


import requests


from lxml import etree


import xlrd


deftest()


:# headers = 


# url = ''


# page_text = requests.get(url=url, headers=headers).text


# tree = etree.html(page_text)


# hot_li_list = tree.xpath('//div[@class="bottom"]/ul/li')


# all_city_names = 


# # 熱門城市的名稱


# for li in hot_li_list:


#     hot_city_name = li.xpath('./a/text()')[0]


#     # print(hot_city_name)


## # 解析全部城市的名稱


# city_names_list = tree.xpath('//div[@class="bottom"]/ul/div[2]/li')


# for li in city_names_list:


#     city_name = li.xpath('./a/text()')[0]


#     # print(city_name)


# print(all_city_names, '\n', len(all_city_names))


headers =


url =


''page_text = requests.get(url=url, headers=headers)


.text


tree = etree.html(page_text)


# 解析到熱門城市和所有城市對應的a標籤


# //div/ul/li/a  熱門城市a標籤的層級關係


# //div/ul/div[2]/li/a  全部城市a標籤層級關係


# 儲存全部城市的a_list


all_city_names =


a_list = tree.xpath(


'//div[@class="bottom"]/ul/li/a | //div/ul/div[2]/li/a'


)# 使用或 |


for a in a_list:


city_name = a.xpath(


'./text()')[


0]print


(all_city_names,


len(all_city_names)


)if __name__ ==


'__main__'


:    test(


)

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