xpath的使用

作者: 小董不太懂 | 来源:发表于2019-07-20 17:05 被阅读0次

python爬虫之xpath
python爬虫之XPath解析
Python爬虫(十三)_案例：使用XPath的爬虫
lxml结合xpath注意事项
xpath的使用
xpath , beautifulsoup4 , pyquery
爬虫解析库XPath使用
xpath使用笔记
XPath
xpath-函数的使用

一、简介

XPath 是一门在 XML 文档中查找信息的语言。XPath 可用来在 XML 文档中对元素和属性进行遍历。XPath 是 W3C XSLT 标准的主要元素，并且 XQuery 和 XPointer 都构建于 XPath 表达之上。

二、安装

pip install lxml

三、使用

1、导入

from lxml import etree

2、基本使用

from lxml import etree

wb_data = """
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
        """

html = etree.HTML(wb_data)
#对HTML文本进行初始化，成功构造xpath解析对象，并自动修正HTML文本
print(html)
print(etree.tostring(html).decode("utf-8"))#输出修正后的html文本

从下面的结果来看，我们打印机html其实就是一个python对象，etree.tostring(html)则是不全里html的基本写法，补全了缺胳膊少腿的标签

D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
<Element html at 0x2c4eb7c3cc8>
<html><body><div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </li></ul>
         </div>
        </body></html>

Process finished with exit code 0

3、获取某个标签的内容(基本使用)
注意：获取a标签的所有内容，a后面就不用再加正斜杠，否则报错。
写法一：

from lxml import etree

wb_data = """
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
        """

html = etree.HTML(wb_data)
html_data = html.xpath('//ul/li/a')
print(html)
for i in html_data:
    print(i.text)

输出为：

D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
<Element html at 0x25763171dc8>
first item
second item
third item
fourth item
fifth item

Process finished with exit code 0

感觉写的很麻烦，代码量又多，还特么有循环，搞个鸡儿，看看就好了，法二才是我们常用的：

from lxml import etree

wb_data = """
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
        """

html = etree.HTML(wb_data)
html_data = html.xpath('//ul/li/a/text()')
print(html_data)


******************************************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['first item', 'second item', 'third item', 'fourth item', 'fifth item']

Process finished with exit code 0

4、打开读取html文件

桌面上新建的html文件

from lxml import etree
html = etree.parse('C:\\Users\董贺贺\Desktop\新建 RTF 文档.html')
print(html)
result = etree.tostring(html).decode('utf-8')
print(result)

输出:

D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
<lxml.etree._ElementTree object at 0x000001D5E0820F88>
<div>
     <ul>
         <li class="item-0"><a href="link1.html">first item</a></li>
         <li class="item-1"><a href="link2.html">second item</a></li>
         <li class="item-inactive"><a href="link3.html">third item</a></li>
         <li class="item-1"><a href="link4.html">fourth item</a></li>
         <li class="item-0"><a href="link5.html">fifth item</a></li>
     </ul>
</div>

Process finished with exit code 0

5、打印指定路径下a标签的属性（可以通过遍历拿到某个属性的值，查找标签的内容）

from lxml import etree
html = etree.parse('C:\\Users\董贺贺\Desktop\新建 RTF 文档.html')
data = html.xpath('//ul/li/a/@href')
print(data)
******************************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['link1.html', 'link2.html', 'link3.html', 'link4.html', 'link5.html']

Process finished with exit code 0

6、我们知道我们使用xpath拿到得都是一个个的ElementTree对象，所以如果需要查找内容的话，还需要遍历拿到数据的列表。
查到绝对路径下a标签属性等于link2.html的内容。

from lxml import etree
wb_data = '''
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//ul/li/a[@href="link2.html"]/text()')
print(html_data)
for i in html_data:
    print(i)


********************************************************************************

D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['second item']
second item

Process finished with exit code 0

7、上面我们找到全部都是绝对路径（每一个都是从根开始查找），下面我们查找相对路径，例如，查找所有li标签下的a标签内容。

from lxml import etree
wb_data = '''
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//ul/li/a/text()')
print(html_data)
for i in html_data:
    print(i)
***************************************************************************************
['first item', 'second item', 'third item', 'fourth item', 'fifth item']
first item
second item
third item
fourth item
fifth item

8、上面我们使用绝对路径，查找了所有a标签的属性等于href属性值，利用的是/---绝对路径，下面我们使用相对路径，查找一下相对路径下li标签下的a标签下的href属性的值。

from lxml import etree
wb_data = '''
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//li/a/@href')
print(html_data)
for i in html_data:
    print(i)
*************************************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['link1.html', 'link2.html', 'link3.html', 'link4.html', 'link5.html']
link1.html
link2.html
link3.html
link4.html
link5.html

9、相对路径下跟绝对路径下查特定属性的方法类似，也可以说相同。

from lxml import etree
wb_data = '''
       <div>
           <ul>
                <li class="item-0"><a href="link1.html">first item</a></li>
                <li class="item-1"><a href="link2.html">second item</a></li>
                <li class="item-inactive"><a href="link3.html">third item</a></li>
                <li class="item-1"><a href="link4.html">fourth item</a></li>
                <li class="item-0"><a href="link5.html">fifth item</a>
            </ul>
        </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//li/a[@href="link2.html"]/text()')
print(html_data)
for i in html_data:
   print(i)
***************************************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['second item']
second item

Process finished with exit code 0

10、查找最后一个li标签里的a标签的href属性

from lxml import etree
wb_data = '''
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//li[last()]/a/text()')
print(html_data)
for i in html_data:
    print(i)
******************************************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['fifth item']
fifth item

Process finished with exit code 0

11、查找倒数第二个li标签里的a标签的href属性


from lxml import etree
wb_data = '''
        <div>
            <ul>
                 <li class="item-0"><a href="link1.html">first item</a></li>
                 <li class="item-1"><a href="link2.html">second item</a></li>
                 <li class="item-inactive"><a href="link3.html">third item</a></li>
                 <li class="item-1"><a href="link4.html">fourth item</a></li>
                 <li class="item-0"><a href="link5.html">fifth item</a>
             </ul>
         </div>
'''
html = etree.HTML(wb_data)
html_data = html.xpath('//li[last()-1]/a/text()')
print(html_data)
for i in html_data:
    print(i)
************************************************************
D:\anaconda\python.exe D:/bilibili大学/简书代码/推导式.py
['fourth item']
fourth item

Process finished with exit code 0

12、如果在提取某个页面的某个标签的xpath路径的话，可以如下图：
　　//*[@id="kw"]
　　解释：使用相对路径查找所有的标签，属性id等于kw的标签。

我们再加一个案例吧，我们就用百度搜索xpath，然后分析网页找出关键字和热点新闻：

下面我贴出来代码主要就是settings和index.py改动，其他未变动：
settings.py:


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

# Scrapy settings for baidu project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     https://doc.scrapy.org/en/latest/topics/settings.html
#     https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#     https://doc.scrapy.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'baidu'

SPIDER_MODULES = ['baidu.spiders']
NEWSPIDER_MODULE = 'baidu.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36'

# Obey robots.txt rules
ROBOTSTXT_OBEY = False
LOG_LEVEL = 'WARN'

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

index.py(也就是解析模块):

# -*- coding: utf-8 -*-
import scrapy


class IndexSpider(scrapy.Spider):
    name = 'index'
    allowed_domains = ['baidu.com']
    start_urls = ['https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&tn=baidu&wd=xpath&oq=xpath&rsv_pq=91e5544c00077502&rsv_t=06ddMHdjcYZEGdPFq5JO%2FwPG7GyaCcDEGeCPLltYHxpViFNHzIDlghemN1A&rqlang=cn&rsv_enter=0&rsv_dl=tb']

    def parse(self, response):
        key_word = response.xpath('//*[@id="con-ar"]/div[1]/div/div/div[2]/div'
                             '//div[@class="c-gap-top-small"]/a/text()').extract()
        hot_news = response.xpath('//*[@id="con-ar"]/div[2]/div/div/table/'
                                  'tbody[1]/tr/td/span/a/text()').extract()
        print(key_word , hot_news)

最后输出：

D:\bilibili大学\scrapy_pool\baidu>scrapy crawl index
['session', '正则表达式', 'LDAP', 'WML'] ['孙杨要求公开听证', '周杰伦超话第一', '李现为周杰伦打榜', '最深地下实验室', '孙杨光州首秀第
一', '19岁志愿者离世', '漫威宇宙第四阶段', '武磊替补登场造点', '复联4创影史冠军', '宋慧乔下半年停工']

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