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一个Python案例带你掌握xpath数据解析方法

xpath基本概念

xpath解析:最常用且最便捷高效的一种解析方式。通用性强。

xpath解析原理

1.实例化一个etree的对象,且需要将被解析的页面源码数据加载到该对象中

2.调用etree对象中的xpath方法结合xpath表达式实现标签的定位和内容的捕获。

环境安装

pip?install?lxml

如何实例化一个etree对象

from?lxml?import?etree

1.将本地的html文件中的远吗数据加载到etree对象中:

etree.parse(filePath)

2.可以将从互联网上获取的原码数据加载到该对象中:

etree.HTML(‘page_text')

xpath(‘xpath表达式’)

1./:表示的是从根节点开始定位。表示一个层级

2.//:表示多个层级。可以表示从任意位置开始定位

3.属性定位://div[@class='song'] tag[@attrName='attrValue']

4.索引定位://div[@class='song']/p[3] 索引从1开始的

5.取文本:

/text()获取的是标签中直系的文本内容 //text()标签中非直系的文本内容(所有文本内容)

6.取属性:/@attrName ==>img/src

xpath爬取58二手房实例

完整代码

from?lxml?import?etree
import?requests

if?__name__?==?'__main__':
????headers?=?{
????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/84.0.4147.105?Safari/537.36'
????}
????url?=?'https://xa.58测试数据/ershoufang/'
????page_text?=?requests.get(url=url,headers=headers).text
????tree?=?etree.HTML(page_text)
????div_list?=?tree.xpath('//section[@class="list"]/div')
????fp?=?open('./58同城二手房.txt','w',encoding='utf-8')
????for?div?in?div_list:
????????title?=?div.xpath('.//div[@class="property-content-title"]/h3/text()')[0]
????????print(title)
????????fp.write(title+'\n'+'\n')

xpath图片解析下载实例

完整代码

import?requests,os
from?lxml?import?etree

if?__name__?==?'__main__':
????headers?=?{
????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/84.0.4147.105?Safari/537.36'
????}
????url?=?'https://pic.netbian测试数据/4kmeinv/'
????page_text?=?requests.get(url=url,headers=headers).text
????tree?=?etree.HTML(page_text)
????li_list?=?tree.xpath('//div[@class="slist"]/ul/li/a')
????if?not?os.path.exists('./piclibs'):
????????os.mkdir('./piclibs')
????for?li?in?li_list:
????????detail_url?='https://pic.netbian测试数据'?+?li.xpath('./img/@src')[0]
????????detail_name?=?li.xpath('./img/@alt')[0]+'.jpg'
????????detail_name?=?detail_name.encode('iso-8859-1').decode('GBK')
????????detail_path?=?'./piclibs/'?+?detail_name
????????detail_data?=?requests.get(url=detail_url,?headers=headers).content
????????with?open(detail_path,'wb')?as?fp:
????????????fp.write(detail_data)
????????????print(detail_name,'seccess!!')

xpath爬取全国城市名称实例

完整代码

import?requests
from?lxml?import?etree

if?__name__?==?'__main__':
????url?=?'https://HdhCmsTestaqistudy.cn/historydata/'
????headers?=?{
????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/87.0.4280.141?Safari/537.36',
????}
????page_text?=?requests.get(url=url,headers=headers).content.decode('utf-8')
????tree?=?etree.HTML(page_text)
????#热门城市???//div[@class="bottom"]/ul/li
????#全部城市???//div[@class="bottom"]/ul/div[2]/li
????a_list?=?tree.xpath('//div[@class="bottom"]/ul/li?|?//div[@class="bottom"]/ul/div[2]/li')
????fp?=?open('./citys.txt','w',encoding='utf-8')
????i?=?0
????for?a?in?a_list:
????????city_name?=?a.xpath('.//a/text()')[0]
????????fp.write(city_name+'\t')
????????i=i+1
????????if?i?==?6:
????????????i?=?0
????????????fp.write('\n')
????print('爬取成功')

xpath爬取简历模板实例

完整代码

import?requests,os
from?lxml?import?etree

if?__name__?==?'__main__':
????url?=?'https://sc.chinaz测试数据/jianli/free.html'
????headers?=?{
????????'User-Agent':?'Mozilla/5.0?(Windows?NT?10.0;?Win64;?x64)?AppleWebKit/537.36?(KHTML,?like?Gecko)?Chrome/87.0.4280.141?Safari/537.36',
????}
????page_text?=?requests.get(url=url,headers=headers).content.decode('utf-8')
????tree?=?etree.HTML(page_text)
????a_list?=?tree.xpath('//div[@class="box?col3?ws_block"]/a')
????if?not?os.path.exists('./简历模板'):
????????os.mkdir('./简历模板')
????for?a?in?a_list:
????????detail_url?=?'https:'+a.xpath('./@href')[0]
????????detail_page_text?=?requests.get(url=detail_url,headers=headers).content.decode('utf-8')
????????detail_tree?=?etree.HTML(detail_page_text)
????????detail_a_list?=?detail_tree.xpath('//div[@class="clearfix?mt20?downlist"]/ul/li[1]/a')
????????for?a?in?detail_a_list:
????????????download_name?=?detail_tree.xpath('//div[@class="ppt_tit?clearfix"]/h1/text()')[0]
????????????download_url?=?a.xpath('./@href')[0]
????????????download_data?=?requests.get(url=download_url,headers=headers).content
????????????download_path?=?'./简历模板/'+download_name+'.rar'
????????????with?open(download_path,'wb')?as?fp:
????????????????fp.write(download_data)
????????????????print(download_name,'success!!')

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