在Python中，选择合适的网页解析库取决于你的具体需求和偏好。以下是一些推荐的解析库及其特点：
html.parser、lxml和html5lib，适合初学者和大多数解析任务。pip install beautifulsoup4
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>Example Page</title></head>
<body>
<h1>Example Heading</h1>
<p>Example paragraph.</p>
</body></html>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
print(soup.title.string)
pip install lxml
from lxml import etree
html_doc = """
<html><head><title>Example Page</title></head>
<body>
<h1>Example Heading</h1>
<p>Example paragraph.</p>
</body></html>
"""
parser = etree.HTMLParser()
tree = etree.fromstring(html_doc, parser)
print(tree.findtext('.//title'))
pip install requests-html
from requests_html import HTMLSession
session = HTMLSession()
response = session.get('https://example.com')
response.html.render() # 渲染JavaScript
print(response.html.title)
选择哪个库取决于你的具体需求，比如解析速度、XPath支持、处理JavaScript的能力等。通常，Beautiful Soup适合大多数情况，而lxml则适合需要高效解析和复杂元素定位的场景。Requests-HTML则是一个全能的选择，特别是当你需要处理JavaScript动态内容时。
