python——爬虫学习——Beautiful Soup库的使用-(2)
python爬虫Beautiful Soup库
Beautiful Soup库
执行pip install beautifulsoup4安装Beautiful Soup库
Beautiful Soup库的简介
Beautiful Soup是一个可以从HTML或XML文件中提取数据的Python库。
它能够通过你喜欢的转换器实现惯用的文档导航,查找,修改文档的方式。
Beautiful Soup库是解析、遍历、维护“标签树”的功能库。
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。
Beautiful Soup库的引用
from bs4 import BeautifulSoup
import bs4
主要是用BeautifulSoup类
Beautiful Soup库的解析器
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
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’) | pip install lxml |
lxml的XML解析器 | BeautifulSoup(mk,’xml’) | pip install lxml |
html5lib的解析器 | BeautifulSoup(mk,’html5lib’) | pip install html5lib |
不指定解析器,Beautiful Soup会选择最合适的解析器来解析这段文档,如果手动指定解析器那么Beautiful Soup会选择指定的解析器来解析文档
from bs4 import BeautifulSoup
soup1 = BeautifulSoup(open("E://index.html"),"html.parser")
soup2 = BeautifulSoup("<html>data</html>","lxml")
soup2 = BeautifulSoup("<html>data</html>")
Beautiful Soup库的对象
Tag , NavigableString , BeautifulSoup , Comment
对象 | 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 |
NavigableString | 其实就是python的str对象的继承子类,实际上没区别 |
BeautifulSoup | 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 |
Comment | 内容是文档的注释部分 |
Tag
Tag的属性:
Name:
标签的名字,
…
的名字是’p’,格式:.name。如果改变了tag的name,那将影响所有通过当前Beautiful Soup对象生成的HTML文档
>>> r=requests.get("http://python123.io/ws/demo.html")
>>> demo=r.text
>>> soup=BeautifulSoup(demo,'html.parser')
>>> soup.a.name
u'a'
>>> soup.a.name='aaa'
>>> soup.aaa.name
'aaa'
Attributes:
Attributes 标签的属性,字典形式组织,格式:.attrs。
>>> r=requests.get("http://python123.io/ws/demo.html")
>>> demo=r.text
>>> soup=BeautifulSoup(demo,'html.parser')
>>> tag=soup.a
>>> tag.attrs
{u'href': u'http://www.icourse163.org/course/BIT-268001', u'class': [u'py1'], u'id': u'link1'}
>>> tag.attrs['class']
[u'py1']
>>> tag.attrs['href']
u'http://www.icourse163.org/course/BIT-268001'
>>> type(tag.attrs)
<type 'dict'>
>>> type(tag)
<class 'bs4.element.Tag'>
Tag的操作:
tag属性的操作办法和字典一样
tag=soup.a
#print tag
print tag['class']
print tag['id']
print tag['href']
#tag属性支持添加、删除、修改等,tag属性操作和dict一样
tag['class']='xiaodeng'
tag['id']=123
#删除
del tag['class']
print tag.get('calss')
NavigableString
字符串常被包含在tag内.Beautiful Soup用
NavigableString 类来包装tag中的非属性字符串,<>…
>>> soup.a
<a class="py1" href="http://www.icourse163.org/course/BIT-268001" id="link1">Basic Python</a>
>>> soup.a.string
u'Basic Python'
>>> soup.p
<p class="title"><b>The demo python introduces several python courses.</b></p>
>>> soup.p.string
u'The demo python introduces several python courses.'
>>> type(soup.p.string)
<class 'bs4.element.NavigableString'>
BeautifulSoup
BeautifulSoup 对象并不是真正的HTML或XML的tag,所以它没有name和attribute属性.但有时查看它的 .name 属性是很方便的,所以 BeautifulSoup 对象包含了一个值为 “[document]” 的特殊属性 .name
>>> soup.name
u'[document]'
Comment
文档的注释部分,Comment 对象是一个特殊类型的 NavigableString 对象
>>> nsoup=BeautifulSoup("<b><!--This is a comment--></b><p>This is not a comment</p>","html.parser")
>>> nsoup.b.string
u'This is a comment'
>>> type(nsoup.b.string)
<class 'bs4.element.Comment'>
>>> nsoup.p.string
u'This is not a comment'
>>> type(nsoup.p.string)
<class 'bs4.element.NavigableString'>
Beautiful Soup库人性化显示方法
prettify()
>>> soup = BeautifulSoup(demo,"html.parser")
>>> soup.p.next_sibling.next_sibling
<p class="course">Python is a wonderful general-purpose programming language. You can learn Python f
rom novice to professional by tracking the following courses:\r\n<a class="py1" href="http://www.ico
urse163.org/course/BIT-268001" id="link1">Basic Python</a> and <a class="py2" href="http://www.icour
se163.org/course/BIT-1001870001" id="link2">Advanced Python</a>.</p>
>>> print(soup.p.next_sibling.next_sibling.prettify())
<p class="course">
Python is a wonderful general-purpose programming language. You can learn Python from novice to pro
fessional 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>
>>>
基于Beautiful Soup库的HTML内容遍历
HTML基本格式
graph TD
html-->head
html-->body
head-->title
body-->p1
body-->p2
p1-->b
p2-->a1
p2-->a2
<>…
标签树的下行遍历
graph LR
html-->head
head-->title
属性 | 说明 |
---|---|
.contents | 子节点的列表,将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 |
>>> soup=BeautifulSoup(demo,"html.parser")
>>> soup.head
<head><title>This is a python demo page</title></head>
>>> soup.head.contents
[<title>This is a python demo page</title>]
>>> soup.body.contents
[u'\n', <p class="title"><b>The demo python introduces several python courses.</b></p>, u'\n', <p cl
ass="course">Python is a wonderful general-purpose programming language. You can learn Python from n
ovice to professional by tracking the following courses:\r\n<a class="py1" href="http://www.icourse1
63.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>, u'\n']
>>> len(soup.head.contents)
1
>>> len(soup.body.contents)
5
>>> soup.body.contents[1]
<p class="title"><b>The demo python introduces several python courses.</b></p>
遍历儿子节点
>>> for child in soup.body.children:
... print(child)
遍历子孙节点
>>> for child in soup.body,descendants:
... print(child)
标签树的上行遍历
graph LR
b-->p1
p1-->body
body-->html
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 |
遍历所有先辈节点,包括soup本身
>>> soup = BeautifulSoup(demo,"html.parser")
>>> for parent in soup.a.parents:
... if parent is None:
... print(parent)
... else:
... print(parent.name)
...
p
body
html
[document]
标签树的平行遍历
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 |
graph LR
p1-->p2
a1-->a2
平行遍历后续节点
>>> for sibling in soup.a.next_sibling:
... print(sibling)
...
a
n
d
平行遍历前续节点
>>>for sibling in soup.a.previous_sibling:
...print(sibling)
参考文档
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