Python 网页解析中级篇:深入理解BeautifulSo
在Python的网络爬虫中,BeautifulSoup库是一个重要的网页解析工具。在初级教程中,我们已经了解了BeautifulSoup库的基本使用方法。在本篇文章中,我们将深入学习BeautifulSoup库的进阶使用。
一、复杂的查找条件
在使用find
和find_all
方法查找元素时,我们可以使用复杂的查找条件,例如我们可以查找所有class为"story"的p标签:
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were</p>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
story_p_tags = soup.find_all('p', class_='story')
for p in story_p_tags:
print(p.string)
二、遍历DOM树
在BeautifulSoup中,我们可以方便的遍历DOM树,以下是一些常用的遍历方法:
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were</p>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
# 获取直接子节点
for child in soup.body.children:
print(child)
# 获取所有子孙节点
for descendant in soup.body.descendants:
print(descendant)
# 获取兄弟节点
for sibling in soup.p.next_siblings:
print(sibling)
# 获取父节点
print(soup.p.parent)
三、修改DOM树
除了遍历DOM树,我们还可以修改DOM树,例如我们可以修改tag的内容和属性:
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were</p>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
soup.p.string = 'New story'
soup.p['class'] = 'new_title'
print(soup.p)
四、解析XML
除了解析HTML外,BeautifulSoup还可以解析XML,我们只需要在创建BeautifulSoup对象时指定解析器为"lxml-xml"即可:
from bs4 import BeautifulSoup
xml_doc = """
<bookstore>
<book category="COOKING">
<title lang="en">Everyday Italian</title>
<author>Giada De Laurentiis</author>
<year>2005</year>
</book>
</bookstore>
"""
soup = BeautifulSoup(xml_doc, 'lxml-xml')
print(soup.prettify())
以上就是BeautifulSoup库的进阶使用方法,通过本篇文章,我们可以更好地使用BeautifulSoup库进行网页解析,以便更有效地进行网络爬虫。