目录

beautifulsoup库快速上手

安装

pip install beautifulsoup4
# 上面的安装失败使用下面的 使用镜像
pip install beautifulsoup4 -i https://pypi.tuna.tsinghua.edu.cn/simple

使用PyCharm的命令行

解析标签

from bs4 import BeautifulSoup
import requests
url='https://blog.csdn.net/weixin_42403632/category_11076268.html'
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:93.0) Gecko/20100101 Firefox/93.0'}
html=requests.get(url,headers=headers).text
s=BeautifulSoup(html,'html.parser')
title =s.select('h2')
for i in title:
    print(i.text)

第一行代码：导入BeautifulSoup库

第二行代码：导入requests

第三、四、五行代码：获取url的html

第六行代码：激活BeautifulSoup库 ‘html.parser’设置解析器为HTML解析器

第七行代码：选取所有<h2>标签

解析属性

BeautifulSoup库 支持根据特定属性解析网页元素

根据class值解析

from bs4 import BeautifulSoup
import requests
url='https://blog.csdn.net/weixin_42403632/category_11076268.html'
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:93.0) Gecko/20100101 Firefox/93.0'}
html=requests.get(url,headers=headers).text
s=BeautifulSoup(html,'html.parser')
title =s.select('.column_article_title')
for i in title:
    print(i.text)

根据ID解析

from bs4 import BeautifulSoup
html='''<div class="crop-img-before">
         <img src="" alt="" id="cropImg">
      </div>
        <div id='title'>
        测试成功
        </div>
      <div class="crop-zoom">
         <a href="javascript:;" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  class="bt-reduce">-</a><a href="javascript:;" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  class="bt-add">+</a>
      </div>
      <div class="crop-img-after">
         <div  class="final-img"></div>
      </div>'''
s=BeautifulSoup(html,'html.parser')
title =s.select('#title')
for i in title:
    print(i.text)

多层筛选

from bs4 import BeautifulSoup
html='''<div class="crop-img-before">
         <img src="" alt="" id="cropImg">
      </div>
        <div id='title'>
        456456465
        <h1>测试成功</h1>
        </div>
      <div class="crop-zoom">
         <a href="javascript:;" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  class="bt-reduce">-</a><a href="javascript:;" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  class="bt-add">+</a>
      </div>
      <div class="crop-img-after">
         <div  class="final-img"></div>
      </div>'''
s=BeautifulSoup(html,'html.parser')
title =s.select('#title')
for i in title:
    print(i.text)
title =s.select('#title h1')
for i in title:
    print(i.text)

提取a标签中的网址

title =s.select('a')
for i in title:
    print(i['href'])

实战-获取博客专栏 标题+网址

from bs4 import BeautifulSoup
import requests
import re
url='https://blog.csdn.net/weixin_42403632/category_11298953.html'
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:93.0) Gecko/20100101 Firefox/93.0'}
html=requests.get(url,headers=headers).text
s=BeautifulSoup(html,'html.parser')
title =s.select('.column_article_list li a')
for i in title:
    print((re.findall('原创.*?\n(.*?)\n',i.text))[0].lstrip())
    print(i['href'])

到此这篇关于python实战快速上手BeautifulSoup库爬取专栏标题和地址的文章就介绍到这了,更多相关Python BeautifulSoup库内容请搜索华域联盟以前的文章或继续浏览下面的相关文章希望大家以后多多支持华域联盟！

您可能感兴趣的文章:

声明：本站（华域联盟www.cnhackhy.com）所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。