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  • Python中的BeautifulSoup库简要总结

    一、基本元素

    BeautifulSoup库是解析、遍历、维护“标签树”的功能库。

    引用

    1 from bs4 import BeautifulSoup
    1 import bs4

     html文档-标签树-BeautifulSoup类

    1 from bs4 import BeautifulSoup
    2 soup1 = BeautifulSoup(“<html>data</html>”,”html.parser”)
    3 soup2 = BeautifulSoup(open(“D://demo.html”),”html.parser”)

    一个BeautifulSoup对象对应一个HTML/XML文档的全部内容

     1 import requests
    2
    from bs4 import BeautifulSoup 3 r = requests.get("http://python123.io/ws/demo.html") 4 r.text 5 '<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>' 6 demo = r.text 7 soup = BeautifulSoup(demo,"html.parser") 8 print(soup.prettify()) 9 <html> 10 <head> 11 <title> 12 This is a python demo page 13 </title> 14 </head> 15 <body> 16 <p class="title"> 17 <b> 18 The demo python introduces several python courses. 19 </b> 20 </p> 20 <p class="course"> 22 Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses: 23 <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1"> 24 Basic Python 25 </a> 26 and 27 <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2"> 28 Advanced Python 29 </a> 30 . 31 </p> 32 </body> 33 </html>

    在上述代码中,一个BeautifulSoup对象对应一个HTML文档的全部内容,可查看r,demo,soup的类型

    1 type(r)
    2 <class 'requests.models.Response'>
    3 type(demo)
    4 <class 'str'>
    5 type(soup)
    6 <class 'bs4.BeautifulSoup'>

    BeautifulSoup库解析器

    解析器 使用方法 条件
    bs4的HTML解析器 BeautifulSoup(mk,’html.parser’) 安装bs4库
    lxml的HTML解析器 BeautifulSoup(mk,’lxml’) 安装lxml库
    lxml的XML解析器 BeautifulSoup(mk,’xml’) 安装lxml库
    html5lib的解析器 BeautifulSoup(mk,’ html5lib’) 安装html5lib库

    BeautifulSoup类基本元素

    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
    Name 标签的名字,<p>…</p>的名字是’p’,格式:<tag>.name
    Attributes 标签的属性,字典组织形式,格式:<tag>.attrs
    NavigableString 标签内非属性字符串,<>…</>中字符串,格式:<tag>.string
    Comment 标签内字符串的注释部分,一种特殊的Comment类型

    以"http://python123.io/ws/demo.html"html文档为例,先生成soup对象(BeautifulSoup类),该文档的详细内容在代码中可看到。

    1 import requests
    2
    from bs4 import BeautifulSoup 3 r = requests.get("http://python123.io/ws/demo.html") 4 demo = r.text 5 soup = BeautifulSoup(demo,"html.parser")

    1、soup的标题及标签

    文档中有两个a标签,直接使用soup.a只可以获得第一个a标签

    1 soup.title #标题
    2 <title>This is a python demo page</title>
    3 tag = soup.a #标签a
    4 tag
    5 <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a>

    2、标签名

    1 soup.a.name #标签a的标签名
    2 'a'
    3 soup.a.parent.name #标签a的父标签名
    4 'p'
    5 soup.a.parent.parent.name #标签a的父标签的父标签名
    6 'body'

    3、标签属性

     1 tag = soup.a #tag为soup中的a标签
     2 tag.attrs #标签属性值
     3 {'href': 'http://www.icourse163.org/course/BIT-268001', 'class': ['py1'], 'id': 'link1'}
     4 tag.attrs['class'] #标签'class'属性值
     5 ['py1']
     6 tag.attrs['href'] #标签'href'属性值
     7 'http://www.icourse163.org/course/BIT-268001'
     8 type(tag.attrs) #标签属性类型
     9 <class 'dict'>
    10 type(tag) #标签类型
    11 <class 'bs4.element.Tag'>

    4、标签内非属性字符串

    NavigableString可跨越多个层次,如下代码中p标签内还有b标签,但不会打印b标签,而是打印b标签内的字符串

     1 soup.a #标签a
     2 <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a>
     3 soup.a.string #标签a内非属性字符串
     4 'Basic Python'
     5 soup.p #标签p
     6 <p class="title"><b>The demo python introduces several python courses.</b></p>
     7 soup.p.string #标签p内非属性字符串
     8 'The demo python introduces several python courses.'
     9 type(soup.a.string) #标签a内非属性字符串类型
    10 <class 'bs4.element.NavigableString'>
    11 type(soup.p.string) #标签p内非属性字符串类型
    12 <class 'bs4.element.NavigableString'>

    5、标签内字符串的注释部分

    使用<tag>.string时显示的字符串类型可能是NavigableString,也可能是Comment。

    1 newsoup = BeautifulSoup("<b><!-- This is a comment --></b><p>This is not a comment</p>","html.parser") #创建一个新的BeautifulSoup对象
    2 newsoup.b.string #标签b的字符串
    3 ' This is a comment '
    4 newsoup.p.string #标签p的字符串
    5 'This is not a comment'
    6 type(newsoup.b.string) #标签b的字符串类型
    7 <class 'bs4.element.Comment'>
    8 type(newsoup.p.string) #标签p的字符串类型
    9 <class 'bs4.element.NavigableString'>

    综上所述

    <p class = "title">...</p>

    标签 .<tag>

    名称 .name

    属性 .attrs

    非属性字符串/注释 .string

     二、HTML内容的遍历方法

    1、标签树的下行遍历

    属性 说明
    .contents 子节点的列表,将<tag>所有儿子节点存入列表
    .children 子节点的迭代类型,与.contents类似,用于循环遍历儿子节点
    .descendants 子孙节点的迭代类型,包含所有子孙节点,用于循环遍历

    处的html文档为例

    1 import requests
    2 from bs4 import BeautifulSoup
    3 r = requests.get("http://python123.io/ws/demo.html")
    4 demo = r.text
    5 soup = BeautifulSoup(demo,"html.parser")

     head标签、head标签儿子节点及body标签儿子节点

     1 soup.head #head标签
     2 <head><title>This is a python demo page</title></head>
     3 soup.head.contents #head标签儿子节点
     4 [<title>This is a python demo page</title>]
     5 soup.body.contents #body标签儿子节点
     6 ['
    ', <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:
     7 <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>, '
    ']
     8 len(soup.body.contents) #body标签儿子节点数量
     9 5
    10 soup.body.contents[1] #body标签中的第二个儿子标签
    11 <p class="title"><b>The demo python introduces several python courses.</b></p>

    综上

    遍历儿子节点

    1 for child in soup.body.children:
    2     print(child)

    遍历子孙节点

    for descendant in soup.body.descendants
        print(child)

    2、标签树的上行遍历

    属性 说明
    .parent 节点的父亲标签
    .parents 节点先辈标签的迭代类型,用于循环遍历先辈节点

    同样的,以处的html文档为例

     1 soup.title.parent #title的父标签
     2 <head><title>This is a python demo page</title></head>
     3 soup.html.parent #html的父标签
     4 <html><head><title>This is a python demo page</title></head>
     5 <body>
     6 <p class="title"><b>The demo python introduces several python courses.</b></p>
     7 <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
     8 <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>
     9 </body></html>
    10 soup.parent #soup的父标签

    由以上代码可知,title标签的父标签为head标签,html标签是html文档的最高级标签,其父标签就是自己。soup是一种特殊的标签,其父标签为空。

    标签树的上行遍历

    1 soup = BeautifulSoup(demo,"html.parser")
    2 for parent in soup.a.parents:
    3     if parent is None:
    4         print(parent)
    5     else:
    6         print(parent.name)

    3、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

    属性 说明
    .next_sibling 返回按照HTML文本顺序的下一个平行节点标签
    .previous_sibling 返回按照HTML文本顺序的上一个平行节点标签
    .next_siblings 迭代类型,返回按照HTML文本顺序的后续所有平行节点标签
    .previous_siblings 迭代类型,返回按照HTML文本顺序的前续所有平行节点标签

    同样的,以处的html文档为例

     1 soup.a.next_sibling #标签a的后续平行节点
     2 ' and '
     3 soup.a.next_sibling.next_sibling #标签a后续平行节点的后续平行节点
     4 <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">Advanced Python</a>
     5 soup.a.previous_sibling #标签a的前续平行节点
     6 'Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
    ' 
     7 soup.a.previous_sibling.previous_sibling #标签a前续平行节点的前续平行节点(为空)
     8 soup.a.parent #标签a的父亲节点
     9 <p class="course">Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
    10 <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>

    遍历后续节点

    1 for sibling in soup.a.next_siblings:
    2     print(sibling)

    遍历前续节点

    1 for sibling in soup.a.previous_siblings:
    2     print(sibling)

    三、HTML的格式化和编码

    prettify()方法

    处的html文档为例

     1 soup.prettify()
     2 '<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>'
     3 print(soup.prettify())
     4 <html>
     5  <head>
     6   <title>
     7    This is a python demo page
     8   </title>
     9  </head>
    10  <body>
    11   <p class="title">
    12    <b>
    13     The demo python introduces several python courses.
    14    </b>
    15   </p>
    16   <p class="course">
    17    Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
    18    <a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">
    19     Basic Python
    20    </a>
    21    and
    22    <a class="py2" href="http://www.icourse163.org/course/BIT-1001870001" id="link2">
    23     Advanced Python
    24    </a>
    25    .
    26   </p>
    27  </body>
    28 </html>

    编码方式为utf-8

    资料来源:《Python网络爬虫与信息提取》——嵩天,北京理工大学,MOOC

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  • 原文地址:https://www.cnblogs.com/huskysir/p/12425197.html
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