安裝

pyquery官網地址

pip install pyquery

驗證安裝

In [1]: import pyquery

沒報錯即表示安裝成功

pyquery

pyquery 介紹

雖然 xpath 與 Beautiful Soup 已經很強大了，不過語法還是過於囉嗦，pyquery提供了更加簡潔優雅的語法，你可以像寫jquery一般提取數據

數據初始化

In [1]: 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"><a href="link4.html">fourth item</a></li>
   ...:         <li class="item-0"><a href="link5.html">fifth item</a></li>
   ...:     </ul>
   ...: </div>
   ...: '''

In [2]: from pyquery import PyQuery as pq

In [3]: doc = pq(html)

In [4]: print(doc('li'))
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>

初始化的數據還可以從url中獲取

In [11]: doc_url = pq(url='https://www.python.org/')

In [12]: print(doc_url('title'))
<title>Welcome to Python.org</title>

除此，也可以傳入文件初始化

doc_file = pq(filename='demo.html')

基本css選擇器

In [2]: 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"><a href="link4.html">fourth item</a></li>
   ...:         <li class="item-0"><a href="link5.html">fifth item</a></li>
   ...:     </ul>
   ...: </div>
   ...: '''

In [4]: from pyquery import PyQuery as pq

In [5]: doc = pq(html)

In [6]: print(doc('#container .list li'))
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>


In [7]: print(type(doc('#container .list li')))
<class 'pyquery.pyquery.PyQuery'>

查找節點

find()

In [8]: items = doc('.list')

In [10]: print(type(items))
<class 'pyquery.pyquery.PyQuery'>

In [11]: print(items)
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>
    </ul>


In [12]: lis = items.find('li')

In [13]: print(type(lis))
<class 'pyquery.pyquery.PyQuery'>

In [14]: print(lis)
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>

find()的查找範圍是節點的所有後代節點

children()

查找直接子節點

In [15]: lis = items.children()

In [16]: print(type(lis))
<class 'pyquery.pyquery.PyQuery'>

In [17]: print(lis)
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>


In [18]: items.children('.active')
Out[18]: [<li.item-0.active>]

In [19]: print(items.children('.active'))
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>

parent()

查找父節點

In [20]: container = items.parent()

In [21]: print(type(container))
<class 'pyquery.pyquery.PyQuery'>

In [22]: print(container)
<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"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>
    </ul>
</div>

parents()

查找祖先節點

siblings()

兄弟節點

遍歷節點

In [26]: lis = doc('li').items()

In [27]: print(type(lis))
<class 'generator'>

In [28]: for li in lis:
    ...:     print(li, type(li))
    ...:
<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"><a href="link4.html">fourth item</a></li>
         <class 'pyquery.pyquery.PyQuery'>
<li class="item-0"><a href="link5.html">fifth item</a></li>
     <class 'pyquery.pyquery.PyQuery'>

獲取屬性

# 選中class爲item-0及active的a節點
In [29]: a = doc('.item-0.active a')

In [30]: print(a, type(a))
<a href="link3.html"><span class="bold">third item</span></a> <class 'pyquery.pyquery.PyQuery'>

In [31]: print(a.attr('href'))
link3.html

如果是多個節點的屬性，就需要遍歷節點獲取

In [32]: a = doc('a')

In [33]: for item in a.items():
    ...:     print(item.attr('href'))
    ...:
link2.html
link3.html
link4.html
link5.html

獲取文本

text()

In [35]: a = doc('.item-0.active a')

In [36]: print(a)
<a href="link3.html"><span class="bold">third item</span></a>

In [37]: print(a.text())
third item

html()

In [38]: li = doc('.item-0.active')

In [39]: print(li)
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>

In [41]: print(li.html())
<a href="link3.html"><span class="bold">third item</span></a>

在多個節點的情況下，如果要獲取每個節點的內部html，需要遍歷調用html()。而text()不需要遍歷，會將所有節點取出文本後合併成一個字符串

節點操作

addClass 和 removeClass

In [42]: li = doc('.item-0.active')

In [43]: print(li)
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>


In [44]: li.removeClass('active')
Out[44]: [<li.item-0>]

In [45]: print(li)
<li class="item-0"><a href="link3.html"><span class="bold">third item</span></a></li>


In [46]: li.addClass('active')
Out[46]: [<li.item-0.active>]

In [47]: print(li)
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>

attr, text 和 html

In [48]: li = doc('.item-0.active')

In [49]: print(li)
<li class="item-0 active"><a href="link3.html"><span class="bold">third item</span></a></li>


In [50]: li.attr('name', 'link')
Out[50]: [<li.item-0.active>]

In [51]: print(li)
<li class="item-0 active" name="link"><a href="link3.html"><span class="bold">third item</span></a></li>


In [52]: li.text('changed item')
Out[52]: [<li.item-0.active>]

In [53]: print(li)
<li class="item-0 active" name="link">changed item</li>


In [54]: li.html('<span>changed item</span>')
Out[54]: [<li.item-0.active>]

In [55]: print(li)
<li class="item-0 active" name="link"><span>changed item</span></li>

remove

In [56]: text = '''
    ...: <div class="wrap">
    ...:     Hello, World
    ...:     <p>This is a paragraph</p>
    ...: </div>
    ...: '''

In [57]: doc = pq(text)

In [58]: wrap = doc('.wrap')

In [59]: print(wrap.text())
Hello, World
This is a paragraph

如果我們不想要p節點內的text，就可以用remove將其移除

In [60]: wrap.find('p').remove()
Out[60]: [<p>]

In [61]: print(wrap.text())
Hello, World

僞類選擇器

In [62]: doc = pq(html)

In [63]: li = doc('li:first-child')

In [64]: print(li)
<li class="item-0">first item</li>


In [65]: li = doc('li:last-child')

In [66]: print(li)
<li class="item-0"><a href="link5.html">fifth item</a></li>


In [67]: li = doc('li:nth-child(2)')

In [68]: print(li)
<li class="item-1"><a href="link2.html">second item</a></li>


In [69]: li = doc('li:gt(2)')

In [70]: print(li)
<li class="item-1"><a href="link4.html">fourth item</a></li>
        <li class="item-0"><a href="link5.html">fifth item</a></li>


In [71]: li = doc('li:nth-child(2n)')

In [72]: print(li)
<li class="item-1"><a href="link2.html">second item</a></li>
        <li class="item-1"><a href="link4.html">fourth item</a></li>


In [73]: li = doc('li:contains(second)')

In [74]: print(li)
<li class="item-1"><a href="link2.html">second item</a></li>

pyquery 庫詳解安裝pyquery 介紹數據初始化基本css選擇器查找節點遍歷節點獲取屬性獲取文本節點操作僞類選擇器

安裝