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，咱们曾经理解了BeautifulSoup库的根本应用办法。在本篇文章中，咱们将深刻学习BeautifulSoup库的进阶应用。
一、简单的查找条件
在应用find和find_all办法查找元素时，咱们能够应用简单的查找条件，例如咱们能够查找所有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，咱们能够不便的遍历DOM树，以下是一些罕用的遍历办法：
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')
# 获取间接子节点
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、批改DOM树
除了遍历DOM树，咱们还能够批改DOM树，例如咱们能够批改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还能够解析XML，咱们只须要在创立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库的进阶应用办法，通过本篇文章，咱们能够更好地应用BeautifulSoup库进行网页解析，以便更无效地进行网络爬虫。
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