0.可以新建一个用于练习的html文件，在浏览器中打开。
0329.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Simple DOM Demo</title>
</head>
<body>
<h1>This is the document body</h1>
<P ID = "p1Node">This is paragraph 1.</P>
<P ID = "p2Node">段落2</P>
<a href="http://www.gzcc.cn/">广州商学院</a>
<li>
<a href="http://news.gzcc.cn/html/2018/xiaoyuanxinwen_0328/9113.html">
<div class="news-list-text">
<div class="news-list-title" style="">我校校长杨文轩教授讲授新学期“思政第一课”</div>
<div class="news-list-description">3月27日下午，我校校长杨文轩教授在第四教学楼310室为学生讲授了新学期“思政第一课”。</div>
<div class="news-list-info"><span><i class="fa fa-clock-o"></i>2018-03-28</span><span><i class="fa fa-building-o"></i>马克思主义学院</span></div>
</div>
</a>
</li>
</body>
</html>
1.利用requests.get(url)获取网页页面的html文件
import requests
newsurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
res = requests.get(newsurl) #返回response对象
res.encoding='utf-8'
import requests newsurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' res = requests.get(newsurl) # 返回response对象 res.encoding = 'utf-8' print(res.text)
2.利用BeautifulSoup的HTML解析器，生成结构树
from bs4 import BeautifulSoup
soup = BeautifulSoup(res.text,'html.parser')
from bs4 import BeautifulSoup soup = BeautifulSoup(res.text,'html.parser')
3.找出特定标签的html元素
soup.p #标签名，返回第一个
soup.head
soup.p.name #字符串
soup.p. attrs #字典，标签的所有属性
soup.p. contents # 列表，所有子标签
soup.p.text #字符串
soup.p.string
soup.select(‘li')
print(soup.body.div.div)
print(soup.body.div.div.contents)
print(soup.head)
print(soup.head.text)
print(soup.select('li'))
4.取得含有特定CSS属性的元素
soup.select('#p1Node')
soup.select('.news-list-title')
print(soup.select('.container'))print(soup.select('#top'))5.练习：
取出h1标签的文本
import requests
from bs4 import BeautifulSoup
newsurl = 'http://localhost:8080/329.html'
res = requests.get(newsurl)
res.encoding = 'utf-8'
res.text
soup = BeautifulSoup(res.text,'html.parser')
a=soup.select('h1')
a1=a[0].text
print(a1)
取出a标签的链接
a = soup.a.attrs['href'] soup.li.a.attrs['href'] print(a)
取出所有li标签的所有内容
a=soup.select('li')[0].textprint(a)
取出一条新闻的标题、链接、发布时间、来源
a0=soup.select('.news-list-title')[0].text
a1=soup.select('.news-list-info')[0].contents[0].text
a2=soup.select('.news-list-info')[0].contents[1].text
a3=soup.body.li.a.attrs['href']
print(a0,a1,a2,a3)