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Python BeautifulSoup library installation and introduction
- 高洛峰Original
- 2017-03-11 09:49:023047browse
##1. Preface
## In the previous articles I introduced how to analyze through Python Source code to crawl blogs, Wikipedia InfoBox and pictures, the article link is as follows:
[Python learning] Simple crawling of Wikipedia programming language message box [Python learning] Simple web crawler crawling blog articles and ideas introduction
[Python learning] Simply crawl the pictures in the picture website gallery
The core code is as follows: # coding=utf-8
import urllib
import re
#下载静态HTML网页
url='http://www.csdn.net/'
content = urllib.urlopen(url).read()
open('csdn.html','w+').write(content)
#获取标题
title_pat=r'(?<=<title>).*?(?=</title>)'
title_ex=re.compile(title_pat,re.M|re.S)
title_obj=re.search(title_ex, content)
title=title_obj.group()
print title
#获取超链接内容
href = r'<a href=.*?>(.*?)</a>'
m = re.findall(href,content,re.S|re.M)
for text in m:
print unicode(text,'utf-8')
break #只输出一个url
The output result is as follows: >>>
CSDN.NET - 全球最大中文IT社区，为IT专业技术人员提供最全面的信息传播和服务平台
登录
>>>
The core code for image downloading is as follows:
import os
import urllib
class AppURLopener(urllib.FancyURLopener):
version = "Mozilla/5.0"
urllib._urlopener = AppURLopener()
url = "http://creatim.allyes.com.cn/imedia/csdn/20150228/15_41_49_5B9C9E6A.jpg"
filename = os.path.basename(url)
urllib.urlretrieve(url , filename) But the above method of analyzing HTML to crawl website content has many drawbacks, such as: 1. Regular expressions are constrained by the HTML source code, rather than depending on more abstract structures ;Small changes in the structure of the web page may cause program interruption. 2. The program needs to analyze the content based on the actual HTML source code. It may encounter HTML features such as character entities such as &, and needs to specify processing such as 45a2772a6b6107b401db3c9b82c049c254bdf357c58b8a65c66d7c19c8e4d114, icon hyperlinks, subscripts, etc. Different content.
3. Regular expressions are not completely readable, and more complex HTML codes and query expressions will become messy.
## Basic Tutorial (2nd Edition) uses two solutions: the first is to use Tidy (Python library) program and XHTML parsing ;The second is to use the BeautifulSoup library.
# 2. Installation and introduction Beautiful Soup library
##Beautiful Soup is an HTML/XML parser written in Python , which can handle irregular markup well and generate parse tree. It provides simple and commonly used operations for navigating, searching, and modifying parse trees. It can save your programming time greatly.
As the book says, "You didn't write those bad web pages, you just tried to get some data from them. Now you don't care what the HTML looks like , the parser helps you achieve it."
Download address: http://www .php.cn/
http://www.php.cn/
The installation process is as shown below: python setup.py install
## It is recommended to refer to Chinese for specific usage methods: http://www.php.cn/ Among them, the usage of BeautifulSoup is briefly explained, using the official example of "Alice in Wonderland":
#!/usr/bin/python
# -*- coding: utf-8 -*-
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
<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>
"""
#获取BeautifulSoup对象并按标准缩进格式输出
soup = BeautifulSoup(html_doc)
print(soup.prettify())
Output contentThe structure output according to the standard indentation format
is as follows:<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 class="sister" href="http://example.com/elsie" id="link1">
Elsie
</a>
,
<a class="sister" href="http://example.com/lacie" id="link2">
Lacie
</a>
and
<a class="sister" href="http://example.com/tillie" id="link3">
Tillie
</a>
;
and they lived at the bottom of a well.
</p>
<p class="story">
...
</p>
</body>
</html> The following is a simple and quick introduction to the BeautifulSoup library: (Reference: Official Document)
'''获取title值'''
print soup.title
# <title>The Dormouse's story</title>
print soup.title.name
# title
print unicode(soup.title.string)
# The Dormouse's story
'''获取<p>值'''
print soup.p
# <p class="title"><b>The Dormouse's story</b></p>
print soup.a
# <a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
'''从文档中找到<a>的所有标签链接'''
print soup.find_all('a')
# [<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>,
# <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>,
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>]
for link in soup.find_all('a'):
print(link.get('href'))
# http://www.php.cn/
# http://www.php.cn/
# http://www.php.cn/
print soup.find(id='link3')
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a> If you want to get all the text content in the article, the code is as follows:
'''从文档中获取所有文字内容''' print soup.get_text() # The Dormouse's story # # The Dormouse's story # # Once upon a time there were three little sisters; and their names were # Elsie, # Lacie and # Tillie; # and they lived at the bottom of a well. # # ...
同时在这过程中你可能会遇到两个典型的错误提示：
1.ImportError: No module named BeautifulSoup
当你成功安装BeautifulSoup 4库后，“from BeautifulSoup import BeautifulSoup”可能会遇到该错误。
其中的原因是BeautifulSoup 4库改名为bs4，需要使用“from bs4 import BeautifulSoup”导入。
2.TypeError: an integer is required
当你使用“print soup.title.string”获取title的值时，可能会遇到该错误。如下：
它应该是IDLE的BUG，当使用命令行Command没有任何错误。参考：stackoverflow。同时可以通过下面的代码解决该问题：
print unicode(soup.title.string)
print str(soup.title.string)
三. Beautiful Soup常用方法介绍
Beautiful Soup将复杂HTML文档转换成一个复杂的树形结构,每个节点都是Python对象,所有对象可以归纳为4种:Tag、NavigableString、BeautifulSoup、Comment|
1.Tag标签
tag对象与XML或HTML文档中的tag相同，它有很多方法和属性。其中最重要的属性name和attribute。用法如下：
#!/usr/bin/python
# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
html = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" id="start"><b>The Dormouse's story</b></p>
"""
soup = BeautifulSoup(html)
tag = soup.p
print tag
# <p class="title" id="start"><b>The Dormouse's story</b></p>
print type(tag)
# <class 'bs4.element.Tag'>
print tag.name
# p 标签名字
print tag['class']
# [u'title']
print tag.attrs
# {u'class': [u'title'], u'id': u'start'} 使用BeautifulSoup每个tag都有自己的名字，可以通过.name来获取；同样一个tag可能有很多个属性，属性的操作方法与字典相同，可以直接通过“.attrs”获取属性。至于修改、删除操作请参考文档。
2.NavigableString
字符串常被包含在tag内，Beautiful Soup用NavigableString类来包装tag中的字符串。一个NavigableString字符串与Python中的Unicode字符串相同，并且还支持包含在遍历文档树和搜索文档树中的一些特性，通过unicode()方法可以直接将NavigableString对象转换成Unicode字符串。
print unicode(tag.string)
# The Dormouse's story
print type(tag.string)
# <class 'bs4.element.NavigableString'>
tag.string.replace_with("No longer bold")
print tag
# <p class="title" id="start"><b>No longer bold</b></p> 这是获取“6924be786dcb0892a956090fd509f9a5a4b561c25d9afb9ac8dc4d70affff419The Dormouse's story0d36329ec37a2cc24d42c7229b69747a94b3e26ee717c64999d7867364b1b4a3”中tag = soup.p的值，其中tag中包含的字符串不能编辑，但可通过函数replace_with()替换。
NavigableString 对象支持遍历文档树和搜索文档树 中定义的大部分属性, 并非全部。尤其是一个字符串不能包含其它内容(tag能够包含字符串或是其它tag)，字符串不支持 .contents 或 .string 属性或 find() 方法。
如果想在Beautiful Soup之外使用 NavigableString 对象，需要调用 unicode() 方法，将该对象转换成普通的Unicode字符串，否则就算Beautiful Soup已方法已经执行结束，该对象的输出也会带有对象的引用地址。这样会浪费内存。
3.Beautiful Soup对象
该对象表示的是一个文档的全部内容，大部分时候可以把它当做Tag对象，它支持遍历文档树和搜索文档树中的大部分方法。
注意：因为BeautifulSoup对象并不是真正的HTML或XML的tag，所以它没有name和 attribute属性，但有时查看它的.name属性可以通过BeautifulSoup对象包含的一个值为[document]的特殊实行.name实现——soup.name。
Beautiful Soup中定义的其它类型都可能会出现在XML的文档中：CData , ProcessingInstruction , Declaration , Doctype 。与 Comment 对象类似，这些类都是 NavigableString 的子类，只是添加了一些额外的方法的字符串独享。
4.Command注释
Tag、NavigableString、BeautifulSoup几乎覆盖了html和xml中的所有内容，但是还有些特殊对象容易让人担心——注释。Comment对象是一个特殊类型的NavigableString对象。
markup = "<b><!--Hey, buddy. Want to buy a used parser?--></b>" soup = BeautifulSoup(markup) comment = soup.b.string print type(comment) # <class 'bs4.element.Comment'> print unicode(comment) # Hey, buddy. Want to buy a used parser?
介绍完这四个对象后，下面简单介绍遍历文档树和搜索文档树及常用的函数。
5.遍历文档树
一个Tag可能包含多个字符串或其它的Tag，这些都是这个Tag的子节点。BeautifulSoup提供了许多操作和遍历子节点的属性。引用官方文档中爱丽丝例子：
操作文档最简单的方法是告诉你想获取tag的name，如下：
注意：通过点取属性的放是只能获得当前名字的第一个Tag，同时可以在文档树的tag中多次调用该方法如soup.body.b获取6c04bd5ca3fcae76e30b72ad730ca86d标签中第一个a4b561c25d9afb9ac8dc4d70affff419标签。
如果想得到所有的3499910bf9dac5ae3c52d5ede7383485标签，使用方法find_all()，在前面的Python爬取维基百科等HTML中我们经常用到它+正则表达式的方法。
子节点：在分析HTML过程中通常需要分析tag的子节点，而tag的 .contents 属性可以将tag的子节点以列表的方式输出。字符串没有.contents属性，因为字符串没有子节点。
通过tag的 .children 生成器,可以对tag的子节点进行循环：
子孙节点：同样 .descendants 属性可以对所有tag的子孙节点进行递归循环：
父节点：通过 .parent 属性来获取某个元素的父节点.在例子“爱丽丝”的文档中,93f0f5c25f18dab9d176bd4f6de5d30e标签是b2386ffb911b14667cb8f0f91ea547a7标签的父节点，换句话就是增加一层标签。
注意：文档的顶层节点比如100db36a723c770d327fc0aef2ce13b1的父节点是 BeautifulSoup 对象，BeautifulSoup 对象的 .parent 是None。
兄弟节点：因为a4b561c25d9afb9ac8dc4d70affff419标签和f8331b8a817c28418a431fbe6e724755标签是同一层：他们是同一个元素的子节点，所以a4b561c25d9afb9ac8dc4d70affff419和f8331b8a817c28418a431fbe6e724755可以被称为兄弟节点。一段文档以标准格式输出时，兄弟节点有相同的缩进级别.在代码中也可以使用这种关系。
在文档树中,使用 .next_sibling 和 .previous_sibling 属性来查询兄弟节点。a4b561c25d9afb9ac8dc4d70affff419标签有.next_sibling 属性，但是没有.previous_sibling 属性，因为a4b561c25d9afb9ac8dc4d70affff419标签在同级节点中是第一个。同理f8331b8a817c28418a431fbe6e724755标签有.previous_sibling 属性，却没有.next_sibling 属性：
介绍到这里基本就可以实现我们的BeautifulSoup库爬取网页内容，而网页修改、删除等内容建议大家阅读文档。下一篇文章就再次爬取维基百科的程序语言的内容吧！希望文章对大家有所帮助，如果有错误或不足之处，还请海涵！建议大家阅读官方文档和《Python基础教程》书。
(By：Eastmount 2015-3-25 下午6点
http://www.php.cn/)
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