内容简介:Win平台:执行演示HTML页面地址:页面源代码
Beautiful Soup库安装
Win平台:执行 pip install BeautifulSoup
Beautiful Soup 库使用
演示HTML页面地址: https://python123.io/ws/demo.html
页面源代码
<html><head><title>This is a python demo page</title></head> <body> <p class="title"><b>The demo python introduces several python courses.</b></p> <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses: <a href="http://www.icourse163.org/course/BIT-268001" class="py1" id="link1">Basic Python</a> and <a href="http://www.icourse163.org/course/BIT-1001870001" class="py2" id="link2">Advanced Python</a>.</p> </body></html>
手工获取demo.html源代码,浏览器右键“查看源代码”
>>> demo = ''' <html><head><title>This is a python demo page</title></head> <body> <p class="title"><b>The demo python introduces several python courses.</b></p> <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses: <a href="http://www.icourse163.org/course/BIT-268001" class="py1" id="link1">Basic Python</a> and <a href="http://www.icourse163.org/course/BIT-1001870001" class="py2" id="link2">Advanced Python</a>.</p> </body></html>'''
或者,用Requests库获取demo.html源代码
>>> import requests
>>> r = requests.get('https://python123.io/ws/demo.html')
>>> demo = r.text
接下来使用Beautiful Soup库
>>> from bs4 from BeautifulSoup
>>> soup = BeautifulSoup(demo,'html.parser')
>>> print(soup.prettify())
<html>
<head>
<title>
This is a python demo page
</title>
</head>
<body>
<p class="title">
<b>
The demo python introduces several python courses.
</b>
</p>
<p class="course">
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
<a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">
Basic Python
</a>
and
<a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">
Advanced Python
</a>
.
</p>
</body>
</html>
Beautiful Soup库的基本元素
Beautiful Soup库的理解
Beautiful Soup库是解析、遍历、维护“标签树”的功能库
Beautiful Soup库的引用
Beautifule Soup库,也叫BeautifulSoup4或bs4,约定引用方式如下,即主要是用BeautifulSoup类
from bs4 import BeautifulSoup imprt bs4
BeautifulSoup类
BeautifulSoup对应一个HTML/XML文档的全部内容
Beautiful Soup库解析器
BeautifulSoup类的基本元素
Tag标签
| 基本元素 | 说明 |
|---|---|
| Tag | 标签,最基本的信息组织单元,分别用<>和</>标明开头和结尾 |
>>> from bs4 import BeautifulSoup >>> soup = BeautifulSoup(demo,"html.parser") >>> soup.title <title>This is a python demo page</title> >>> tag = soup.a >>> tag <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a>
任何存在于HTML语法中的标签都可以用soup.<tag>访问获得 当HTML文档中存在多个相同<tag>对应内容时,soup.<tag>返回 第一个
Tag的name(名字)
| 基本元素 | 说明 |
|---|---|
| Name | 标签的名字,<p>…</p>的名字是'p',格式:<tag>.name |
>>> from bs4 import BeautifulSoup >>> soup = BeautifulSoup(demo,"html.parser") >>> soup.a.name 'a' >>> soup.a.parent.name 'p' >>> soup.a.parent.parent.name 'body'
每个<tag>都有自己的名字,通过<tag>.name获取,字符串类型
Tag的attrs(属性)
| 基本元素 | 说明 |
|---|---|
| Attributes | 标签的属性,字典形式组织,格式:<tag>.attrs |
>>> soup.a.attrs
{'href': 'http://www.icourse163.org/course/BIT-268001', 'class': ['py1'], 'id': 'link1'}
>>> kv = soup.a.attrs
>>> kv['class']
['py1']
>>> kv['href']
'http://www.icourse163.org/course/BIT-268001'
>>> tyep(soup.a)
<class 'bs4.element.Tag'>
>>> type(soup.a.attrs)
<class 'dict'>
一个<tag>可以有0或多个属性,字典类型
Tag的NavigableString
| 基本元素 | 说明 |
|---|---|
| NavigableString | 标签内非属性字符串,<>…</>中字符串,格式:<tag>.string |
>>> soup.a >>> soup.a.string 'Basic Python' >>> soup.p <p class="title"><b>The demo python introduces several python courses.</b></p> >>> soup.p.string 'The demo python introduces several python courses.' >>> type(soup.p.string) <class 'bs4.element.NavigableString'>
NavigableString可以跨越多个层次
Tag的Comment
| 基本元素 | 说明 |
|---|---|
| Comment | 标签内字符串的注释部分,一种特殊的Comment类型 |
>>> newsoup = BeautifulSoup("<b><!--This is a comment--></b><p>This is not a comment</p>",'html.parser')
>>> newsoup.b.string
'This is a comment'
>>> newsoup.p.string
'This is not a comment'
>>> type(newsoup.b.string)
<class 'bs4.element.Comment'>
>>> type(newsoup.p.string)
<class 'bs4.element.NavigableString'>
基于bs4库的HTMl内容遍历方法
标签树的下行遍历
>>> soup = BeautifulSoup(demo,'html.parser') >>> soup.head <head><title>This is a python demo page</title></head> >>> print(soup.head.contents) [<title>This is a python demo page</title>] >>> print(soup.body.contents) ['\n', <p class="title"><b>The demo python introduces several python courses.</b></p>, '\n', <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses: <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a> and <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">Advanced Python</a>.</p>, '\n'] >>> len(soup.body.contens) 5 >>> soup.body.contens[1] <p class="title"><b>The demo python introduces several python courses.</b></p>
标签树的迭代下行遍历
标签树的上行遍历
>>> soup = BeautifulSoup(demo,'html.parser') >>> soup.title.parent <head><title>This is a python demo page</title></head> >>> soup.html.parent <html><head><title>This is a python demo page</title></head> <body> <p class="title"><b>The demo python introduces several python courses.</b></p> <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses: <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a> and <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">Advanced Python</a>.</p> </body></html>
标签树的迭代上行遍历
import requests
from bs4 import BeautifulSoup
r = requests.get("https://python123.io/ws/demo.html")
demo = r.text
soup = BeautifulSoup(demo,'html.parser')
for parent in soup.a.parents:
if parent is None:
print(parent)
else:
print(parent.name)
遍历所有先辈节点,包括soup本身,所以要区别判断
标签树的平行遍历
平行遍历发生在同一个父节点下的各节点间
>>> soup = BeautifulSoup(demo,'html.parser') >>> soup.a.next_sibling ' and ' >>> soup.a.next_sibling.next_sibling <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">Advanced Python</a> >>> soup.a.previous_sibling 'Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:\r\n'
标签树的迭代平行遍历
标签树的遍历总结
bs4库的prettify()方法
prettify() 方法的作用是使HTML内容更友好的展示
普通方法打印HTML文本
>>> import requests
>>> r = requests.get("https://python123.io/ws/demo.html")
>>> r.text
'<html><head><title>This is a python demo page</title></head>\r\n<body>\r\n<p class="title"><b>The demo python introduces several python courses.</b></p>\r\n<p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:\r\n<a href="http://www.icourse163.org/course/BIT-268001" class="py1" id="link1">Basic Python</a> and <a href="http://www.icourse163.org/course/BIT-1001870001" class="py2" id="link2">Advanced Python</a>.</p>\r\n</body></html>'
使用 prettify() 方法
>>> from bs4 import BeautifulSoup >>> soup = BeautifulSoup(r.text,'html.parser') >>> soup.prettify() '<html>\n <head>\n <title>\n This is a python demo page\n </title>\n </head>\n <body>\n <p class="title">\n <b>\n The demo python introduces several python courses.\n </b>\n </p>\n <p class="course">\n Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:\n <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">\n Basic Python\n </a>\n and\n <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">\n Advanced Python\n </a>\n .\n </p>\n </body>\n</html>'
>>> print(soup.prettify()
<html>
<head>
<title>
This is a python demo page
</title>
</head>
<body>
<p class="title">
<b>
The demo python introduces several python courses.
</b>
</p>
<p class="course">
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
<a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">
Basic Python
</a>
and
<a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">
Advanced Python
</a>
.
</p>
</body>
</html>
prettify() 还可用于标签,使用方法: <tag>.prettify()
>>> print(soup.a.prettify()) <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1"> Basic Python </a>
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