标签：
1.网页解析器：从网页中提取有价值的数据。
2.python网页解析的方式：
正则表达式、html.parser（python自带）、Beautiful Soup（第三方）、lxml（python自带）.
Beautiful Soup可以使用html.parser或者lxml作为解析器
3.网页解析器就是结构化解析-DOM（Document Object Model）树
4.安装Beautiful Soup以及官网地址
pip install beautifulsoup4
http://www.crummy.com/software/BeautifulSoup/bs4/doc/
举例说明：
<a href=‘123.html‘ class=‘article_link‘>Python </a> 节点名称：a 节点属性：href=‘123.html‘和class=‘article_link‘ 节点内容：Python
代码实现：
#-*- coding: utf-8 -*- from bs4 import BeautifulSoup import re 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 <a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>, <a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and <a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>; and they lived at the bottom of a well.</p> <p class="story">...</p> """ # 根据HTML网页字符串创建BeautifulSoup # HTML文档字符串 #HTML解析器 #HTML文档的编码 soup = BeautifulSoup(html_doc,‘html.parser‘,from_encoding=‘utf-8‘) print (‘-------获取所有的连接------------‘) links = soup.find_all(‘a‘) for link in links: print link.name, link[‘href‘], link.get_text() print (‘-------获取lacie的连接------------‘) link_nodes = soup.find_all(‘a‘, href=‘http://example.com/lacie‘) for link_node in link_nodes: print link_node.name, link_node[‘href‘], link_node.get_text() print (‘---------正则匹配----------‘) link_nodes = soup.find_all(‘a‘, href=re.compile(r"ill")) for link_node in link_nodes: print link_node.name, link_node[‘href‘], link_node.get_text() print (‘---------获取P段落文字----------‘) p_nodes = soup.find_all(‘p‘, class_="title") # class_是为避免与关键字冲突 for p_node in p_nodes: print p_node.name, p_node.get_text()
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原文地址：http://www.cnblogs.com/XYJK1002/p/5315871.html
