PyQuery库也是一个非常强大又灵活的网页解析库,如果你有前端开发经验的,都应该接触过jQuery,那么PyQuery就是你非常绝佳的选择,
PyQuery 是 Python 仿照 jQuery 的严格实现。语法与 jQuery 几乎完全相同。
安装
pip install pyquery
官网地址:http://pyquery.readthedocs.io/en/latest/
jQuery参考文档: http://jquery.cuishifeng.cn/
初始化
初始化的时候一般有三种传入方式:传入字符串,传入url,传入文件
字符串初始化
html = '''
<div>
<ul>
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
print(doc('li'))
由于PyQuery写起来比较麻烦,所以我们导入的时候都会添加别名:
from pyquery import PyQuery as pq
这里我们可以知道上述代码中的doc其实就是一个pyquery对象,我们可以通过doc可以进行元素的选择,其实这里就是一个css选择器,所以CSS选择器的规则都可以用,直接doc(标签名)就可以获取所有的该标签的内容,如果想要获取class 则doc('.class_name'),如果是id则doc('#id_name')....
URL初始化
from pyquery import PyQuery as pq
doc = pq(url='https://www.cnblogs.com/',encoding='utf-8')
print(doc('.post_nav_block li a'))
文件初始化
我们在pq()这里可以传入url参数也可以传入文件参数,当然这里的文件通常是一个html文件,例如:pq(filename='index.html')
基本CSS选择器
from pyquery import PyQuery as pq
html = '''<div>
<ul id = 'haha'>
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul></div>'''
doc = pq(html)
# print(doc)
# id等于haha下面的class等于item-0下的a标签下的span标签(注意层级关系以空格隔开)
print(doc('#haha .item-0 a span'))
-----------输出
<span class="bold">third item</span>
常用的CSS选择器方法:
查找节点
下面我们介绍一些常用的查询函数,这些函数和jQuery中函数的用法完全相同。
子节点
查找子节点时,需要用到find()
方法,此时传入的参数是CSS选择器。这里还是以前面的HTML为例:
html = '''
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
items = doc('.list')
print(type(items))
print(items)
lis = items.find('li')
print(type(lis))
print(lis)
上述中的代码中的items.find('li') 则表示查找ul里的所有的li标签
当然这里通过children可以实现同样的效果,并且通过.children方法得到的结果也是一个pyquery对象
li = items.children()
print(type(li))
print(li)
同时在children里也可以用CSS选择器
li2 = items.children('.active') print(li2)
父元素
parent,parents方法
通过.parent就可以找到父元素的内容
html = '''
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
items = doc('.list')
# print(type(items))
# print(items)
container = items.parent()
print(type(container))
print(container)
通过.parents就可以找到祖先节点的内容,例子如下:
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
items = doc('.list')
parents = items.parents()
print(type(parents))
print(parents)
兄弟元素
siblings
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
li = doc('.list .item-0.active')
print(li.siblings())
-----------输出
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0">first item</li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
代码中doc('.list .item-0.active') 中的.tem-0和.active是紧挨着的,所以表示是并的关系,这样满足条件的就剩下一个了,这样在通过.siblings就可以获取所有的兄弟标签,当然这里是不包括自己的。
遍历
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
lis = doc('li').items()
print(type(lis))
for li in lis:
print(type(li))
print(li)
----输出---------------
<class 'generator'>
<class 'pyquery.pyquery.PyQuery'>
<li class="item-0">first item</li>
<class 'pyquery.pyquery.PyQuery'>
<li class="item-1"><a href="link2.html">second item</a></li>
<class 'pyquery.pyquery.PyQuery'>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<class 'pyquery.pyquery.PyQuery'>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<class 'pyquery.pyquery.PyQuery'>
<li class="item-0"><a href="link5.html">fifth item</a></li>
通过items()可以得到一个生成器,并且我们通过for循环得到的每个元素依然是一个pyquery对象
获取信息
获取属性
pyquery对象.attr(属性名)
pyquery对象.attr.属性名
from pyquery import PyQuery as pq
html = '''<div class=‘content’>
<ul id = 'haha'>
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul></div>'''
doc = pq(html)
# 注意class=item-0 active是一个class的属性,但是在pyquery里面要是中间也是空格隔开的话,
# 就变成了item-0下的active标签下的a标签了,所以这里空格必须改成点
item = doc(".item-0.active a")
print(item)
# 获取属性值的两种方法
print(item.attr.href)
print(item.attr('href'))
----输出-----
<class 'pyquery.pyquery.PyQuery'>
<a href="link3.html"><span class="bold">third item</span></a>
link3.html
link3.html
获取文本
在很多时候我们是需要获取被html标签包含的文本信息,通过.text()就可以获取文本信息
from pyquery import PyQuery as pq
html = '''<div class=‘content’>
<ul id = 'haha'>
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul></div>'''
doc = pq(html)
a = doc(".item-0.active a").text()
print(a)
-------输出------
third item
获取html
我们通过.html()的方式可以获取当前标签所包含的html信息
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
li = doc('.item-0.active')
print(li.html())
print(li.children())
print(li.find('a'))
-------------输出
<a href="link3.html"><span class="bold">third item</span></a>
<a href="link3.html"><span class="bold">third item</span></a>
<a href="link3.html"><span class="bold">third item</span></a>
Dom操作
1、属性的增加删除操作
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
li = doc('.item-0.active')
print(li)
li.removeClass('active')
print(li)
li.addClass('active')
print(li)
---------------------输出
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-0"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
2、attrs和css
注意:下列操作有则改之,无则加之。
html = '''
<div class="wrap">
<div id="container">
<ul class="list">
<li class="item-0">first item</li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
<li class="item-0"><a href="link5.html">fifth item</a></li>
</ul>
</div>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
li = doc('.item-0.active')
print(li)
li.attr('name', 'link')
print(li)
li.css('font-size', '14px')
print(li)
li.css('font-size', '12px')
print(li)
------------------输出
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-0 active" name="link"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-0 active" name="link" style="font-size: 14px"><a href="link3.html"><span class="bold">third item</span></a></li>
<li class="item-0 active" name="link" style="font-size: 12px"><a href="link3.html"><span class="bold">third item</span></a></li>
3.删除某个标签
有时候我们获取文本信息的时候可能并列的会有一些其他标签干扰,这个时候通过remove就可以将无用的或者干扰的标签直接删除,从而方便操作
html = '''
<div class="wrap">
Hello, World
<p>This is a paragraph.</p>
</div>
'''
from pyquery import PyQuery as pq
doc = pq(html)
wrap = doc('.wrap')
print(wrap.text())
wrap.find('p').remove()
print(wrap.text())
--------输出
Hello, World
This is a paragraph.
Hello, World
参考:http://www.cnblogs.com/zhaof/p/6935473.html