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python爬虫开发之Beautiful Soup模块从安装到详细使用方法与实例

作者:love666666shen

这篇文章主要介绍了python爬虫开发之Beautiful Soup模块详细使用方法与实例,需要的朋友可以参考下

python爬虫模块Beautiful Soup简介

简单来说,Beautiful Soup是python的一个库,最主要的功能是从网页抓取数据。官方解释如下: Beautiful Soup提供一些简单的、python式的函数用来处理导航、搜索、修改分析树等功能。它是一个工具箱,通过解析文档为用户提供需要抓取的数据,因为简单,所以不需要多少代码就可以写出一个完整的应用程序。Beautiful Soup自动将输入文档转换为Unicode编码,输出文档转换为utf-8编码。你不需要考虑编码方式,除非文档没有指定一个编码方式,这时,Beautiful Soup就不能自动识别编码方式了。然后,你仅仅需要说明一下原始编码方式就可以了。Beautiful Soup已成为和lxml、html6lib一样出色的python解释器,为用户灵活地提供不同的解析策略或强劲的速度。

python爬虫模块Beautiful Soup安装

Beautiful Soup 3 目前已经停止开发,推荐在现在的项目中使用Beautiful Soup 4,不过它已经被移植到BS4了,也就是说导入时我们需要 import bs4 。所以这里我们用的版本是 Beautiful Soup 4.3.2 (简称BS4),另外据说 BS4 对 Python3 的支持不够好,不过我用的是 Python2.7.7,如果有小伙伴用的是 Python3 版本,可以考虑下载 BS3 版本。 可以利用 pip 或者 easy_install 来安装,以下两种方法均可

easy_install beautifulsoup4
pip install beautifulsoup4

如果想安装最新的版本,请直接下载安装包来手动安装,也是十分方便的方法。下载完成之后解压,运行下面的命令即可完成安装

sudo python setup.py install

然后需要安装 lxml

easy_install lxml
pip install lxml

另一个可供选择的解析器是纯Python实现的 html5lib , html5lib的解析方式与浏览器相同,可以选择下列方法来安装html5lib:

easy_install html5lib
pip install html5lib

Beautiful Soup支持Python标准库中的HTML解析器,还支持一些第三方的解析器,如果我们不安装它,则 Python 会使用 Python默认的解析器,lxml 解析器更加强大,速度更快,推荐安装。

解析器 使用方法 优势 劣势
Python标准库 BeautifulSoup(markup, “html.parser”) Python的内置标准库 执行速度适中 文档容错能力强 Python 2.7.3 or 3.2.2)前 的版本中文档容错能力差
lxml HTML 解析器 BeautifulSoup(markup, “lxml”) 速度快 文档容错能力强 需要安装C语言库
lxml XML 解析器 BeautifulSoup(markup, [“lxml”, “xml”]) BeautifulSoup(markup, “xml”) 速度快 唯一支持XML的解析器 需要安装C语言库
html5lib BeautifulSoup(markup, “html5lib”) 最好的容错性 以浏览器的方式解析文档 生成HTML5格式的文档 速度慢

创建Beautiful Soup对象

首先必须要导入 bs4 库

from bs4 import BeautifulSoup

我们创建一个字符串,后面的例子我们便会用它来演示

html = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" name="dromouse"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link1"><!-- Elsie --></a>,
<a href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link2">Lacie</a> and
<a href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
"""

创建 beautifulsoup 对象

soup = BeautifulSoup(html)

另外,我们还可以用本地 HTML 文件来创建对象,例如

soup = BeautifulSoup(open('index.html'))

上面这句代码便是将本地 index.html 文件打开,用它来创建 soup 对象。下面我们来打印一下 soup 对象的内容,格式化输出

print soup.prettify()

指定编码:当html为其他类型编码(非utf-8和asc ii),比如GB2312的话,则需要指定相应的字符编码,BeautifulSoup才能正确解析。

htmlCharset = "GB2312"
soup = BeautifulSoup(respHtml, fromEncoding=htmlCharset)
#!/usr/bin/python
# -*- coding: UTF-8 -*-
from bs4 import BeautifulSoup
import re
 
#待分析字符串
html_doc = """
<html>
<head>
 <title>The Dormouse's story</title>
</head>
<body>
<p class="title aq">
 <b>
  The Dormouse's story
 </b>
</p>
<p class="story">Once upon a time there were three little sisters; and their names were
 <a href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link1">Elsie</a>,
 <a href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link2">Lacie</a> 
 and
 <a href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" class="sister" id="link3">Tillie</a>;
 and they lived at the bottom of a well.
</p>
<p class="story">...</p>
"""
 
# html字符串创建BeautifulSoup对象
soup = BeautifulSoup(html_doc, 'html.parser', from_encoding='utf-8')
 
#输出第一个 title 标签
print soup.title
 
#输出第一个 title 标签的标签名称
print soup.title.name
 
#输出第一个 title 标签的包含内容
print soup.title.string
 
#输出第一个 title 标签的父标签的标签名称
print soup.title.parent.name
 
#输出第一个 p 标签
print soup.p
 
#输出第一个 p 标签的 class 属性内容
print soup.p['class']
 
#输出第一个 a 标签的 href 属性内容
print soup.a['href']
'''
soup的属性可以被添加,删除或修改. 再说一次, soup的属性操作方法与字典一样
'''
#修改第一个 a 标签的href属性为 http://www.baidu.com/
soup.a['href'] = 'http://www.baidu.com/'
 
#给第一个 a 标签添加 name 属性
soup.a['name'] = u'百度'
 
#删除第一个 a 标签的 class 属性为
del soup.a['class']
 
##输出第一个 p 标签的所有子节点
print soup.p.contents
 
#输出第一个 a 标签
print soup.a
 
#输出所有的 a 标签,以列表形式显示
print soup.find_all('a')
 
#输出第一个 id 属性等于 link3 的 a 标签
print soup.find(id="link3")
 
#获取所有文字内容
print(soup.get_text())
 
#输出第一个 a 标签的所有属性信息
print soup.a.attrs
 
for link in soup.find_all('a'):
 #获取 link 的 href 属性内容
 print(link.get('href'))
 
#对soup.p的子节点进行循环输出 
for child in soup.p.children:
 print(child)
 
#正则匹配,名字中带有b的标签
for tag in soup.find_all(re.compile("b")):
 print(tag.name)

import bs4#导入BeautifulSoup库 Soup = BeautifulSoup(html)#其中html 可以是字符串,也可以是句柄 需要注意的是,BeautifulSoup会自动检测传入文件的编码格式,然后转化为Unicode格式 通过如上两句话,BS自动把文档生成为如上图中的解析树。

Beautiful Soup四大对象种类

Beautiful Soup将复杂HTML文档转换成一个复杂的树形结构,每个节点都是Python对象,所有对象可以归纳为4种:

  1. Tag
  2. NavigableString
  3. BeautifulSoup
  4. Comment

(1)Tag

Tag 是什么?通俗点讲就是 HTML 中的一个个标签,例如

<title>The Dormouse's story</title>
<a class="sister" href="//www.jb51.net/" id="link1">jb51</a>

上面的 title a 等等 HTML 标签加上里面包括的内容就是 Tag,下面我们来感受一下怎样用 Beautiful Soup 来方便地获取 Tags 下面每一段代码中注释部分即为运行结果

print soup.title
#<title>The Dormouse's story</title>
 
print soup.head
#<head><title>The Dormouse's story</title></head>
 
print soup.a
#<a class="sister" href="//www.jb51.net/" id="link1"><!-- Elsie --></a>
 
print soup.p
#<p class="title" name="dromouse"><b>The Dormouse's story</b></p>

利用 soup加标签名轻松地获取这些标签的内容,是不是感觉比正则表达式方便多了?不过有一点是,它查找的是在所有内容中的第一个符合要求的标签,如果要查询所有的标签,我们在后面进行介绍。soup.title 得到的是title标签,soup.p 得到的是文档中的第一个p标签,要想得到所有标签,得用find_all函数。find_all 函数返回的是一个序列,可以对它进行循环,依次得到想到的东西.。 我们可以验证一下这些对象的类型

print type(soup.a)
#<class 'bs4.element.Tag'>

对于 Tag,它有两个重要的属性,是 name 和 attrs

name

print soup.name
print soup.head.name
#[document]
#head

soup 对象本身比较特殊,它的 name 即为 [document],对于其他内部标签,输出的值便为标签本身的名称。 attrs

print soup.p.attrs
#{'class': ['title'], 'name': 'dromouse'}

在这里,我们把 p 标签的所有属性打印输出了出来,得到的类型是一个字典。如果我们想要单独获取某个属性,可以这样,例如我们获取它的 class 叫什么

print soup.p['class']
#['title']

还可以这样,利用get方法,传入属性的名称,二者是等价的

print soup.p.get('class')
#['title']

我们可以对这些属性和内容等等进行修改,例如

soup.p['class']="newClass"
print soup.p
#<p class="newClass" name="dromouse"><b>The Dormouse's story</b></p>

还可以对这个属性进行删除,例如

del soup.p['class']
print soup.p
#<p name="dromouse"><b>The Dormouse's story</b></p>

不过,对于修改删除的操作,不是我们的主要用途,在此不做详细介绍了,如果有需要,请查看前面提供的官方文档

head = soup.find('head')
#head = soup.head
#head = soup.contents[0].contents[0]
print head
 
html = soup.contents[0]  # <html> ... </html>
head = html.contents[0]  # <head> ... </head>
body = html.contents[1]  # <body> ... </body>

可以通过Tag.attrs访问,返回字典结构的属性。 或者Tag.name这样访问特定属性值,如果是多值属性则以列表形式返回。

(2)NavigableString

既然我们已经得到了标签的内容,那么问题来了,我们要想获取标签内部的文字怎么办呢?很简单,用 .string 即可,例如

print soup.p.string
#The Dormouse's story

这样我们就轻松获取到了标签里面的内容,想想如果用正则表达式要多麻烦。它的类型是一个 NavigableString,翻译过来叫 可以遍历的字符串,不过我们最好还是称它英文名字吧。来检查一下它的类型

print type(soup.p.string)
#<class 'bs4.element.NavigableString'>

(3)BeautifulSoup

BeautifulSoup 对象表示的是一个文档的全部内容.大部分时候,可以把它当作 Tag 对象,是一个特殊的 Tag,我们可以分别获取它的类型,名称,以及属性来感受一下

print type(soup.name)
#<type 'unicode'>
print soup.name
# [document]
print soup.attrs
#{} 空字典

(4)Comment

Comment 对象是一个特殊类型的 NavigableString 对象,其实输出的内容仍然不包括注释符号,但是如果不好好处理它,可能会对我们的文本处理造成意想不到的麻烦。 我们找一个带注释的标签

print soup.a
print soup.a.string
print type(soup.a.string)

运行结果如下

<a class="sister" href="//www.jb51.net/" id="link1"><!-- Elsie --></a>
 Elsie
<class 'bs4.element.Comment'>

a 标签里的内容实际上是注释,但是如果我们利用 .string 来输出它的内容,我们发现它已经把注释符号去掉了,所以这可能会给我们带来不必要的麻烦。 另外我们打印输出下它的类型,发现它是一个 Comment 类型,所以,我们在使用前最好做一下判断,判断代码如下

if type(soup.a.string)==bs4.element.Comment:
    print soup.a.string

上面的代码中,我们首先判断了它的类型,是否为 Comment 类型,然后再进行其他操作,如打印输出。

Beautiful Soup模块遍历文档树

(1)直接子节点

Tag.Tag_child1:直接通过下标名称访问子节点。 Tag.contents:以列表形式返回所有子节点。 Tag.children:生成器,可用于循环访问:for child in Tag.children 要点:.contents .children 属性 .contents tag 的 .content 属性可以将tag的子节点以列表的方式输出。可以使用 [num] 的形式获得。使用contents向后遍历树,使用parent向前遍历树

print soup.head.contents 
#[<title>The Dormouse's story</title>]

输出方式为列表,我们可以用列表索引来获取它的某一个元素

print soup.head.contents[0]
#<title>The Dormouse's story</title>

.children 它返回的不是一个 list,不过我们可以通过遍历获取所有子节点。我们打印输出 .children 看一下,可以发现它是一个 list 生成器对象。 可以使用list可以将其转化为列表。当然可以使用for 语句遍历里面的孩子。

print soup.head.children
#<listiterator object at 0x7f71457f5710>

我们怎样获得里面的内容呢?很简单,遍历一下就好了,代码及结果如下

for child in  soup.body.children:
    print child
<p class="title" name="dromouse"><b>The Dormouse's story</b></p>
 
<p class="story">Once upon a time there were three little sisters; and their names were
<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>,
<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a> and
<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
 
 
<p class="story">...</p>

(2)所有子孙节点

知识点:.descendants 属性 .descendants .contents 和 .children 属性仅包含tag的直接子节点,.descendants 属性可以对所有tag的子孙节点进行递归循环,和 children类似,我们也需要遍历获取其中的内容。 Tag.descendants:生成器,可用于循环访问:for des inTag.descendants

for child in soup.descendants:
    print child

运行结果如下,可以发现,所有的节点都被打印出来了,先生成最外层的 HTML标签,其次从 head 标签一个个剥离,以此类推。

<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" name="dromouse"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>,
<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a> and
<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
</body></html>
<head><title>The Dormouse's story</title></head>
<title>The Dormouse's story</title>
The Dormouse's story
 
 
<body>
<p class="title" name="dromouse"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>,
<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a> and
<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
</body>
 
 
<p class="title" name="dromouse"><b>The Dormouse's story</b></p>
<b>The Dormouse's story</b>
The Dormouse's story
 
 
<p class="story">Once upon a time there were three little sisters; and their names were
<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>,
<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a> and
<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
Once upon a time there were three little sisters; and their names were
 
<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>
 Elsie 
,
 
<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a>
Lacie
 and
 
<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>
Tillie
;
and they lived at the bottom of a well.
 
 
<p class="story">...</p>
...

(3)节点内容

知识点:.string 属性 Tag.String:Tag只有一个String子节点是,可以这么访问,否则返回None Tag.Strings:生成器,可用于循环访问:for str in Tag.Strings 如果tag只有一个 NavigableString 类型子节点,那么这个tag可以使用 .string 得到子节点。如果一个tag仅有一个子节点,那么这个tag也可以使用 .string 方法,输出结果与当前唯一子节点的 .string 结果相同。通俗点说就是:如果一个标签里面没有标签了,那么 .string 就会返回标签里面的内容。如果标签里面只有唯一的一个标签了,那么 .string 也会返回最里面的内容。如果超过一个标签的话,那么就会返回None。例如

print soup.head.string
#The Dormouse's story
print soup.title.string
#The Dormouse's story

如果tag包含了多个子节点,tag就无法确定,string 方法应该调用哪个子节点的内容, .string 的输出结果是 None

print soup.html.string
# None

(4)多个内容

知识点: .strings .stripped_strings 属性 .strings 获取多个内容,不过需要遍历获取,比如下面的例子

for string in soup.strings:
 print(repr(string))
 # u"The Dormouse's story"
 # u'\n\n'
 # u"The Dormouse's story"
 # u'\n\n'
 # u'Once upon a time there were three little sisters; and their names were\n'
 # u'Elsie'
 # u',\n'
 # u'Lacie'
 # u' and\n'
 # u'Tillie'
 # u';\nand they lived at the bottom of a well.'
 # u'\n\n'
 # u'...'
 # u'\n'

.stripped_strings  输出的字符串中可能包含了很多空格或空行,使用 .stripped_strings 可以去除多余空白内容

for string in soup.stripped_strings:
 print(repr(string))
 # u"The Dormouse's story"
 # u"The Dormouse's story"
 # u'Once upon a time there were three little sisters; and their names were'
 # u'Elsie'
 # u','
 # u'Lacie'
 # u'and'
 # u'Tillie'
 # u';\nand they lived at the bottom of a well.'
 # u'...'

(5)父节点

知识点: .parent 属性 使用parent获取父节点。 Tag.parent:父节点 Tag.parents:父到根的所有节点

body = soup.body html = body.parent             # html是body的父亲
p = soup.p
print p.parent.name
#body
 
content = soup.head.title.string
print content.parent.name
#title

(6)全部父节点

知识点:.parents 属性 通过元素的 .parents 属性可以递归得到元素的所有父辈节点,例如

content = soup.head.title.string
for parent in content.parents:
 print parent.name
 
title
head
html
[document]

(7)兄弟节点

知识点:.next_sibling .previous_sibling 属性
使用nextSibling, previousSibling获取前后兄弟
Tag.next_sibling
Tag.next_siblings
Tag.previous_sibling
Tag.previous_siblings
兄弟节点可以理解为和本节点处在统一级的节点,.next_sibling 属性获取了该节点的下一个兄弟节点,.previous_sibling 则与之相反,如果节点不存在,则返回 None。
注意:实际文档中的tag的 .next_sibling 和 .previous_sibling 属性通常是字符串或空白,因为空白或者换行也可以被视作一个节点,所以得到的结果可能是空白或者换行

print soup.p.next_sibling
#  实际该处为空白
print soup.p.prev_sibling
#None 没有前一个兄弟节点,返回 None
print soup.p.next_sibling.next_sibling
#<p class="story">Once upon a time there were three little sisters; and their names were
#<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>,
#<a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a> and
#<a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>;
#and they lived at the bottom of a well.</p>
#下一个节点的下一个兄弟节点是我们可以看到的节点

.next方法:只能针对单一元素进行.next,或者说是对contents列表元素的挨个清点。 比如

soup.contents[1]=u'HTML'
soup.contents[2]=u'\n'

则soup.contents[1].next等价于soup.contents[2]

head = body.previousSibling    # head和body在同一层,是body的前一个兄弟
p1 = body.contents[0]          # p1, p2都是body的儿子,我们用contents[0]取得p1
p2 = p1.nextSibling            # p2与p1在同一层,是p1的后一个兄弟, 当然body.content[1]也可得到

contents[]的灵活运用也可以寻找关系节点,寻找祖先或者子孙可以采用findParent(s), findNextSibling(s), findPreviousSibling(s)

(8)全部兄弟节点

知识点:.next_siblings .previous_siblings 属性 通过 .next_siblings 和 .previous_siblings 属性可以对当前节点的兄弟节点迭代输出

for sibling in soup.a.next_siblings:
 print(repr(sibling))
 # u',\n'
 # <a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a>
 # u' and\n'
 # <a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>
 # u'; and they lived at the bottom of a well.'
 # None

(9)前后节点

知识点:.next_element .previous_element 属性 与 .next_sibling .previous_sibling 不同,它并不是针对于兄弟节点,而是在所有节点,不分层次。比如 head 节点为

<head><title>The Dormouse's story</title></head>

那么它的下一个节点便是 title,它是不分层次关系的

print soup.head.next_element
#<title>The Dormouse's story</title>

(10)所有前后节点

知识点:.next_elements .previous_elements 属性 通过 .next_elements 和 .previous_elements 的迭代器就可以向前或向后访问文档的解析内容,就好像文档正在被解析一样

for element in last_a_tag.next_elements:
 print(repr(element))
# u'Tillie'
# u';\nand they lived at the bottom of a well.'
# u'\n\n'
# <p class="story">...</p>
# u'...'
# u'\n'
# None

以上是遍历文档树的基本用法。

搜索文档树

最常用的是find_all()函数 (1)find_all( name , attrs , recursive , text , **kwargs ) find_all() 方法搜索当前tag的所有tag子节点,并判断是否符合过滤器的条件 1)name 参数 name 参数可以查找所有名字为 name 的tag,字符串对象会被自动忽略掉

#第一个参数为Tag的名称 
tag.find_all(‘title') 
#得到”<title>&%^&*</title>”,结果为一个列表 
 
第二个参数为匹配的属性
tag.find_all(“title”,class=”sister”) 
#得到如”<title class = “sister”>%^*&</title> 
# 第二个参数也可以为字符串,得到字符串匹配的结果
tag.find_all(“title”,”sister”) 
#得到如”<title class = “sister”>%^*&</title> 

A.传字符串 最简单的过滤器是字符串.在搜索方法中传入一个字符串参数,Beautiful Soup会查找与字符串完整匹配的内容,下面的例子用于查找文档中所有的<b>标签

soup.find_all('b')
# [<b>The Dormouse's story</b>]
 
print soup.find_all('a')
#[<a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1"><!-- Elsie --></a>, <a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a>, <a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>]

B.传正则表达式 如果传入正则表达式作为参数,Beautiful Soup会通过正则表达式的 match() 来匹配内容.下面例子中找出所有以b开头的标签,这表示<body>和<b>标签都应该被找到

import re
for tag in soup.find_all(re.compile("^b")):
 print(tag.name)
# body
# b

C.传列表 如果传入列表参数,Beautiful Soup会将与列表中任一元素匹配的内容返回.下面代码找到文档中所有<a>标签和<b>标签

soup.find_all(["a", "b"])
# [<b>The Dormouse's story</b>,
# <a class="sister" href="http://example.com/elsie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link1">Elsie</a>,
# <a class="sister" href="http://example.com/lacie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link2">Lacie</a>,
# <a class="sister" href="http://example.com/tillie" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" rel="external nofollow" id="link3">Tillie</a>]

D.传 True True 可以匹配任何值,下面代码查找到所有的tag,但是不会返回字符串节点

for tag in soup.find_all(True):
 print(tag.name)
# html
# head
# title
# body
# p
# b
# p
# a
# a

E.传方法 如果没有合适过滤器,那么还可以定义一个方法,方法只接受一个元素参数 [4] ,如果这个方法返回 True 表示当前元素匹配并且被找到,如果不是则反回 False。下面方法校验了当前元素,如果包含 class 属性却不包含 id 属性,那么将返回 True:

def has_class_but_no_id(tag):     return tag.has_attr('class') and not tag.has_attr('id')

将这个方法作为参数传入 find_all() 方法,将得到所有<p>标签:

soup.find_all(has_class_but_no_id)
# [<p class="title"><b>The Dormouse's story</b></p>,
# <p class="story">Once upon a time there were...</p>,
# <p class="story">...</p>]

2)keyword 参数 注意:如果一个指定名字的参数不是搜索内置的参数名,搜索时会把该参数当作指定名字tag的属性来搜索,如果包含一个名字为 id 的参数,Beautiful Soup会搜索每个tag的”id”属性

soup.find_all(id='link2')
# [<a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>]

如果传入 href 参数,Beautiful Soup会搜索每个tag的”href”属性

soup.find_all(href=re.compile("elsie"))
# [<a class="sister" href="http://jb51.net/elsie" id="link1">Elsie</a>]

使用多个指定名字的参数可以同时过滤tag的多个属性

soup.find_all(href=re.compile("elsie"), id='link1')
# [<a class="sister" href="http://jb51.net/elsie" id="link1">three</a>]

在这里我们想用 class 过滤,不过 class 是 python 的关键词,这怎么办?加个下划线就可以

soup.find_all("a", class_="sister")
# [<a class="sister" href="http://jb51.net/elsie" id="link1">Elsie</a>,
# <a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>,
# <a class="sister" href="http://jb51.net/tillie" id="link3">Tillie</a>]

有些tag属性在搜索不能使用,比如HTML5中的 data-* 属性

data_soup = BeautifulSoup('<div data-foo="value">foo!</div>')
data_soup.find_all(data-foo="value")
# SyntaxError: keyword can't be an expression

但是可以通过 find_all() 方法的 attrs 参数定义一个字典参数来搜索包含特殊属性的tag

data_soup.find_all(attrs={"data-foo": "value"})
# [<div data-foo="value">foo!</div>]

3)text 参数 通过 text 参数可以搜搜文档中的字符串内容.与 name 参数的可选值一样, text 参数接受 字符串 , 正则表达式 , 列表, True

soup.find_all(text="Elsie")
# [u'Elsie']
 
soup.find_all(text=["Tillie", "Elsie", "Lacie"])
# [u'Elsie', u'Lacie', u'Tillie']
 
soup.find_all(text=re.compile("Dormouse"))
[u"The Dormouse's story", u"The Dormouse's story"]

4)limit 参数 find_all() 方法返回全部的搜索结构,如果文档树很大那么搜索会很慢.如果我们不需要全部结果,可以使用 limit 参数限制返回结果的数量.效果与SQL中的limit关键字类似,当搜索到的结果数量达到 limit 的限制时,就停止搜索返回结果. 文档树中有3个tag符合搜索条件,但结果只返回了2个,因为我们限制了返回数量

soup.find_all("a", limit=2)
# [<a class="sister" href="http://jb51.net/elsie" id="link1">Elsie</a>,
#  <a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>]

5)recursive 参数 调用tag的 find_all() 方法时,Beautiful Soup会检索当前tag的所有子孙节点,如果只想搜索tag的直接子节点,可以使用参数 recursive=False 。一段简单的文档:

<html>
 <head>
 <title>
 The Dormouse's story
 </title>
 </head>
...

是否使用 recursive 参数的搜索结果:

soup.html.find_all("title")
# [<title>The Dormouse's story</title>]
 
soup.html.find_all("title", recursive=False)
# []

(2)find(name=None, attrs={}, recursive=True, text=None, **kwargs)
它与 find_all() 方法唯一的区别是 find_all() 方法的返回结果是值包含一个元素的列表,而 find() 方法直接返回结果。

.find('p'),.findAll('p'):find返回的是字符串值,而且是返回从头查找到的第一个tag对。但是如果这第一个tag对包括大量的内容,父等级很高,则同时其内部所包含的,此级标签也全部都find。findAll返回值是个列表,如果发现了一个同名标签内含多个同名标签,则内部的标签一并归于该父标签显示,列表其他元素也不再体现那些内含的同名子标签。即findAll会返回所有符合要求的结果,并以list返回。

soup.findAll(οnclick='document.location...')
    soup.findAll(attrs={'style':r'outline:none;'}) #用来查找属性中有style='outline:none;的标签体。

tag搜索

find(tagname)                                  # 直接搜索名为tagname的tag 如:find('head')
find(list)                                     # 搜索在list中的tag,如: find(['head', 'body'])
find(dict)                                     # 搜索在dict中的tag,如:find({'head':True, 'body':True})
find(re.compile(''))                           # 搜索符合正则的tag, 如:find(re.compile('^p')) 搜索以p开头的tag
find(lambda)                       # 搜索函数返回结果为true的tag, 如:find(lambda name: if len(name) == 1) 搜索长度为1的tag
find(True)                                     # 搜索所有tag

attrs搜索

find(id='xxx')                                  # 寻找id属性为xxx的
find(attrs={id=re.compile('xxx'), algin='xxx'}) # 寻找id属性符合正则且algin属性为xxx的
find(attrs={id=True, algin=None})               # 寻找有id属性但是没有algin属性的
 
resp1 = soup.findAll('a', attrs = {'href': match1})
resp2 = soup.findAll('h1', attrs = {'class': match2})
resp3 = soup.findAll('img', attrs = {'id': match3})

text搜索 文字的搜索会导致其他搜索给的值如:tag, attrs都失效。方法与搜索tag一致   

print p1.text
# u'This is paragraphone.'
print p2.text
# u'This is paragraphtwo.'
# 注意:1,每个tag的text包括了它以及它子孙的text。2,所有text已经被自动转为unicode,如果需要,可以自行转码encode(xxx)

recursive和limit属性

recursive=False表示只搜索直接儿子,否则搜索整个子树,默认为True。
当使用findAll或者类似返回list的方法时,limit属性用于限制返回的数量,
如:findAll('p', limit=2): 返回首先找到的两个tag

(3)find_parents()  find_parent()

find_all() 和 find() 只搜索当前节点的所有子节点,孙子节点等. find_parents() 和 find_parent() 用来搜索当前节点的父辈节点,搜索方法与普通tag的搜索方法相同,搜索文档搜索文档包含的内容

(4)find_next_siblings()  find_next_sibling()

这2个方法通过 .next_siblings 属性对当 tag 的所有后面解析的兄弟 tag 节点进行迭代, find_next_siblings() 方法返回所有符合条件的后面的兄弟节点,find_next_sibling() 只返回符合条件的后面的第一个tag节点

(5)find_previous_siblings()  find_previous_sibling()

这2个方法通过 .previous_siblings 属性对当前 tag 的前面解析的兄弟 tag 节点进行迭代, find_previous_siblings()方法返回所有符合条件的前面的兄弟节点, find_previous_sibling() 方法返回第一个符合条件的前面的兄弟节点

(6)find_all_next()  find_next()

这2个方法通过 .next_elements 属性对当前 tag 的之后的 tag 和字符串进行迭代, find_all_next() 方法返回所有符合条件的节点, find_next() 方法返回第一个符合条件的节点

(7)find_all_previous() 和 find_previous()

这2个方法通过 .previous_elements 属性对当前节点前面的 tag 和字符串进行迭代, find_all_previous() 方法返回所有符合条件的节点, find_previous()方法返回第一个符合条件的节点

注:以上(2)(3)(4)(5)(6)(7)方法参数用法与 find_all() 完全相同,原理均类似,在此不再赘述。

CSS选择器

在写 CSS 时,标签名不加任何修饰,类名前加点,id名前加 # 在这里我们也可以利用类似的方法来筛选元素,用到的方法是 soup.select(),返回类型是 list (1)通过标签名查找

print soup.select('title')
#[<title>The Dormouse's story</title>]

print soup.select('a')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>, <a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>, <a class="sister" href="http://jb51.net/tillie" id="link3">Tillie</a>]

print soup.select('b')
#[<b>The Dormouse's story</b>]

(2)通过类名查找

print soup.select('.sister')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>, <a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>, <a class="sister" href="http://jb51.net/tillie" id="link3">Tillie</a>]

(3)通过 id 名查找

print soup.select('#link1')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>]

(4)组合查找 组合查找即和写 class 文件时,标签名与类名、id名进行的组合原理是一样的,例如:查找 p 标签中,id 等于 link1的内容,二者需要用空格分开

print soup.select('p #link1')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>]

直接子标签查找

print soup.select("head > title")
#[<title>The Dormouse's story</title>]

(5)属性查找 查找时还可以加入属性元素,属性需要用中括号括起来,注意属性和标签属于同一节点,所以中间不能加空格,否则会无法匹配到。

print soup.select('a[class="sister"]')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>, <a class="sister" href="http://jb51.net/lacie" id="link2">Lacie</a>, <a class="sister" href="http://jb51.net/tillie" id="link3">Tillie</a>]

print soup.select('a[href="http://jb51.net/elsie"]')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>]

同样,属性仍然可以与上述查找方式组合,不在同一节点的空格隔开,同一节点的不加空格

print soup.select('p a[href="http://jb51.net/elsie"]')
#[<a class="sister" href="http://jb51.net/elsie" id="link1"><!-- Elsie --></a>]

以上的 select 方法返回的结果都是列表形式,可以遍历形式输出,然后用 get_text() 方法来获取它的内容。

soup = BeautifulSoup(html, 'lxml')
print type(soup.select('title'))
print soup.select('title')[0].get_text()
 
for title in soup.select('title'):
    print title.get_text()

这就是另一种与 find_all 方法有异曲同工之妙的查找方法,是不是感觉很方便?

print soup.find_all("a", class_="sister")
print soup.select("p.title")
 
# 通过属性进行查找
print soup.find_all("a", attrs={"class": "sister"})
 
# 通过文本进行查找
print soup.find_all(text="Elsie")
print soup.find_all(text=["Tillie", "Elsie", "Lacie"])
 
# 限制结果个数
print soup.find_all("a", limit=2)

本文详细讲解了python爬虫块Beautiful Soup从安装到详细使用方法与实例,更多关于python爬虫块Beautiful Soup的使用方法请查看下面的相关链接

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