BeautifulSoup解析 HTML或XML

阅读目录

初识Beautiful Soup

官方文档:https://www.crummy.com/software/BeautifulSoup/bs4/doc/#

中文文档:https://www.crummy.com/software/BeautifulSoup/bs4/doc/index.zh.html

Beautiful Soup 是一个可以从HTML或XML文本中提取数据的Python库,它能对HTML、XML格式进行解析成树形结构并提取相关信息。

Beautiful Soup库是一个灵活又方便的网页解析库,处理高效,支持多种解析库(后面会介绍),利用它不用编写正则表达式即可方便地实现网页信息的提取。

安装

Beautiful Soup 3 目前已经停止开发,推荐在现在的项目中使用Beautiful Soup 4,安装方法:

pip install beautifulsoup4

Beautiful Soup库的4种解析器

解析器 使用方法 优势 劣势
Python标准库 BeautifulSoup(markup, "html.parser") Python的内置标准库、执行速度适中 、文档容错能力强 Python 2.7.3 or 3.2.2)前的版本中文容错能力差
lxml HTML 解析器 BeautifulSoup(markup, "lxml") 速度快、文档容错能力强 需要安装C语言库
lxml XML 解析器 BeautifulSoup(markup, "xml") 速度快、唯一支持XML的解析器 需要安装C语言库
html5lib BeautifulSoup(markup, "html5lib") 最好的容错性、以浏览器的方式解析文档、生成HTML5格式的文档 速度慢、不依赖外部扩展

如果仅是想要解析HTML文档,只要用文档创建 BeautifulSoup 对象就可以了。Beautiful Soup会自动选择一个解析器来解析文档.但是还可以通过参数指定使用那种解析器来解析当前文档。BeautifulSoup 第一个参数应该是要被解析的文档字符串或是文件句柄,第二个参数用来标识怎样解析文档.如果第二个参数为空,那么Beautiful Soup根据当前系统安装的库自动选择解析器,解析器的优先数序: lxml, html5lib, Python标准库(python自带的解析库).

安装解析器库:

pip install html5lib
pip install lxml

Beautiful Soup类的基本元素

基本使用

容错处理,文档的容错能力指的是在html代码不完整的情况下,使用该模块可以识别该错误。

使用BeautifulSoup解析上述代码,能够得到一个 BeautifulSoup 的对象,并能按照 标准的缩进格式结构输出

html = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" name="dromouse"><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>
"""
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
print(soup.prettify()) #处理好缩进,结构化显示
print(soup.title.string)
<html>
<head>
<title>
The Dormouse's story
</title>
</head>
<body>
<p class="title" name="dromouse">
<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 Dormouse's story

输出结果

标签选择器

选择标签元素(存在多个时取第一个)

获取标签名称 + 获取标签 + 获取标签内容 + 获取标签属性

from bs4 import BeautifulSoup
import requests html = """
<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title" name="dromouse"><b>The is pppp</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>
""" soup = BeautifulSoup(html, 'lxml') print(soup.title) #获取改标签 <title>The Dormouse's story</title>
print(soup.title.name) #获取标签名 print(soup.title.text) #获取标签内容
print(soup.p.text)
print(soup.p.string) dic = soup.p.attrs #获取 p标签所有属性返回一个字典结构
print(dic) #获取 p标签所有属性返回一个字典结构
print(dic["name"])
print(soup.p.attrs["class"]) #获取指定属性值,返回列表
print(soup.p["class"])

打印输出:

<title>The Dormouse's story</title>
title
The Dormouse's story
The is pppp
The is pppp
{'class': ['title'], 'name': 'dromouse'}
dromouse
['title']
['title']

标签嵌套选择

html = """
<html><head><title>The Dormouse's story</title></head>
<body>
<div class="title" name="dromouse"><b class='bb bcls xiong'>The Dormouse's story</b></div>
<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>
"""
soup = BeautifulSoup(html, 'lxml') print(soup.div.b['class']) #标签嵌套选择 print(soup.p.stripped_strings) #<generator object stripped_strings at 0x000002C7CC772830>
print(list(soup.p.stripped_strings))
print(soup.p.text)

打印输出:

['bb', 'bcls', 'xiong']
<generator object stripped_strings at 0x000002471D323830>
['Once upon a time there were three little sisters; and their names were', ',', 'Lacie', 'and', 'Tillie', ';\nand they lived at the bottom of a well.']
Once upon a time there were three little sisters; and their names were
,
Lacie and
Tillie;
and they lived at the bottom of a well.

节点操作

子节点和子孙节点

对于一个标签的儿子节点不仅包括标签节点,也包括字符串节点,空格表示为'\n'

html = """
<html>
<head>
<title>The Dormouse's story</title>
</head>
<body>
<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">
<span>Elsie</span>
</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>
"""
soup = BeautifulSoup(html, 'lxml') print(soup.p.contents) #子节点列表,将<p>所有子节点存在列表中 print("======================================================================>")
print(soup.p.children) #子节点的可迭代类型,<list_iterator object at 0x0000029154DF7FD0>
for i, child in enumerate(soup.p.children):
print(i, str(child).strip()) #child 是bs4.element 对象 print("======================================================================>")
print(soup.p.descendants) #子孙节点的迭代类型,<generator object descendants at 0x000001C7583D2888>
for i, child in enumerate(soup.p.descendants):
print(i, child)

打印输出:

['\n            Once upon a time there were three little sisters; and their names were\n            ', <a class="sister" href="http://example.com/elsie" id="link1">
<span>Elsie</span>
</a>, '\n', <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>, '\n and\n ', <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>, '\n and they lived at the bottom of a well.\n ']
======================================================================>
<list_iterator object at 0x000001C2E2AB6EF0>
0 Once upon a time there were three little sisters; and their names were
1 <a class="sister" href="http://example.com/elsie" id="link1">
<span>Elsie</span>
</a>
2
3 <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>
4 and
5 <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
6 and they lived at the bottom of a well.
======================================================================>
<generator object descendants at 0x000001C2E2AA3830>
0
Once upon a time there were three little sisters; and their names were 1 <a class="sister" href="http://example.com/elsie" id="link1">
<span>Elsie</span>
</a>
2 3 <span>Elsie</span>
4 Elsie
5 6 7 <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>
8 Lacie
9
and 10 <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
11 Tillie
12
and they lived at the bottom of a well.

父节点和祖先节点

html = """
<html>
<head>
<title>The Dormouse's story</title>
</head>
<body>
<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">
<span>Elsie</span>
</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>
"""
soup = BeautifulSoup(html, 'lxml') print(soup.a.parent) print("========================================================================>")
print(soup.a.parents) #祖先节点,返回可迭代类型
for item in soup.a.parents:
print(item)

打印输出:

<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">
<span>Elsie</span>
</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>
========================================================================>
<generator object parents at 0x000001A078752830>
<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">
<span>Elsie</span>
</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>
<body>
<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">
<span>Elsie</span>
</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>
<head>
<title>The Dormouse's story</title>
</head>
<body>
<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">
<span>Elsie</span>
</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>
<html>
<head>
<title>The Dormouse's story</title>
</head>
<body>
<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">
<span>Elsie</span>
</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>

兄弟节点

html = """
<html>
<head>
<title>The Dormouse's story</title>
</head>
<body>
<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">
<span>Elsie</span>
</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>
"""
soup = BeautifulSoup(html, 'lxml') print(list(enumerate(soup.a.next_sibling))) #下一个兄弟节点
print(list(enumerate(soup.a.next_siblings))) #下面所有的兄弟节点
print(list(enumerate(soup.a.previous_sibling))) #上一个兄弟节点
print(list(enumerate(soup.a.previous_siblings))) #上面所有的兄弟节点

打印输出:

[(0, '\n')]
[(0, '\n'), (1, <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>), (2, '\n and\n '), (3, <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>), (4, '\n and they lived at the bottom of a well.\n ')]
[(0, '\n'), (1, ' '), (2, ' '), (3, ' '), (4, ' '), (5, ' '), (6, ' '), (7, ' '), (8, ' '), (9, ' '), (10, ' '), (11, ' '), (12, ' '), (13, 'O'), (14, 'n'), (15, 'c'), (16, 'e'), (17, ' '), (18, 'u'), (19, 'p'), (20, 'o'), (21, 'n'), (22, ' '), (23, 'a'), (24, ' '), (25, 't'), (26, 'i'), (27, 'm'), (28, 'e'), (29, ' '), (30, 't'), (31, 'h'), (32, 'e'), (33, 'r'), (34, 'e'), (35, ' '), (36, 'w'), (37, 'e'), (38, 'r'), (39, 'e'), (40, ' '), (41, 't'), (42, 'h'), (43, 'r'), (44, 'e'), (45, 'e'), (46, ' '), (47, 'l'), (48, 'i'), (49, 't'), (50, 't'), (51, 'l'), (52, 'e'), (53, ' '), (54, 's'), (55, 'i'), (56, 's'), (57, 't'), (58, 'e'), (59, 'r'), (60, 's'), (61, ';'), (62, ' '), (63, 'a'), (64, 'n'), (65, 'd'), (66, ' '), (67, 't'), (68, 'h'), (69, 'e'), (70, 'i'), (71, 'r'), (72, ' '), (73, 'n'), (74, 'a'), (75, 'm'), (76, 'e'), (77, 's'), (78, ' '), (79, 'w'), (80, 'e'), (81, 'r'), (82, 'e'), (83, '\n'), (84, ' '), (85, ' '), (86, ' '), (87, ' '), (88, ' '), (89, ' '), (90, ' '), (91, ' '), (92, ' '), (93, ' '), (94, ' '), (95, ' ')]
[(0, '\n Once upon a time there were three little sisters; and their names were\n ')]

标准选择器 find/find_all(* * * * *)

基于bs4库的HTML内容查找方法

<>.find_all(name,attrs,recursive,text,**kwargs)  # 返回一个列表类型,存储查找的结果
name 对标签名称的检索字符串
attrs 对标签属性值的检索字符串,可标注属性检索
recursive 是否对子孙全部搜索,默认True
text 对文本内容进行检索

其他的 find 方法:

find_all( name , attrs , recursive , text , **kwargs )

可根据标签名、属性、内容查找文档

name

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
print(soup.find_all('ul'))
print(type(soup.find_all('ul')[0]))
[<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>, <ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>]
<class 'bs4.element.Tag'>
html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
for ul in soup.find_all('ul'):
print(ul.find_all('li'))
[<li class="element">Foo</li>, <li class="element">Bar</li>, <li class="element">Jay</li>]
[<li class="element">Foo</li>, <li class="element">Bar</li>]

属性attrs

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1" name="elements">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list2 list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
soup = BeautifulSoup(html, 'lxml') print(soup.find_all(attrs={'id': 'list-1'})) #推荐这种写法
print(soup.find_all(id="list-1")) #类似于**kwargs传值,与上一种写法效果相同 print(soup.find_all(attrs={'class': 'list-small'}))
print(soup.find_all(class_="list2"))

打印输出:

[<ul class="list" id="list-1" name="elements">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>]
[<ul class="list" id="list-1" name="elements">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>]
[<ul class="list2 list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>]
[<ul class="list2 list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>]

text

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
print(soup.find_all(text='Foo'))
['Foo', 'Foo']

find( name , attrs , recursive , text , **kwargs )

find返回单个元素,find_all返回所有元素

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
print(soup.find('ul'))
print(type(soup.find('ul')))
print(soup.find('page'))
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<class 'bs4.element.Tag'>
None

find_parents() find_parent()

find_parents()返回所有祖先节点,find_parent()返回直接父节点。

find_next_siblings() find_next_sibling()

find_next_siblings()返回后面所有兄弟节点,find_next_sibling()返回后面第一个兄弟节点。

find_previous_siblings() find_previous_sibling()

find_previous_siblings()返回前面所有兄弟节点,find_previous_sibling()返回前面第一个兄弟节点。

find_all_next() find_next()

find_all_next()返回节点后所有符合条件的节点, find_next()返回第一个符合条件的节点

find_all_previous() 和 find_previous()

find_all_previous()返回节点后所有符合条件的节点, find_previous()返回第一个符合条件的节点

CSS选择器(* * * * * )

通过select()直接传入CSS选择器即可完成选择

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-heading">
<h4>World</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
soup = BeautifulSoup(html, 'lxml') print(soup.select('.panel .panel-heading'))
print(soup.select('ul li'))
print(soup.select('#list-2 .element'))
print(type(soup.select('ul')[0]))

输出结果:

[<div class="panel-heading">
<h4>Hello</h4>
</div>, <div class="panel-heading">
<h4>World</h4>
</div>]
[<li class="element">Foo</li>, <li class="element">Bar</li>, <li class="element">Jay</li>, <li class="element">Foo</li>, <li class="element">Bar</li>]
[<li class="element">Foo</li>, <li class="element">Bar</li>]
<class 'bs4.element.Tag'>
html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
for ul in soup.select('ul'):
print(ul.select('li'))
[<li class="element">Foo</li>, <li class="element">Bar</li>, <li class="element">Jay</li>]
[<li class="element">Foo</li>, <li class="element">Bar</li>]

获取属性

ul.attrs['id']

ul['id']

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
for ul in soup.select('ul'):
print(ul['id'])
print(ul.attrs['id'])
list-1
list-1
list-2
list-2

获取内容

li.get_text()

html='''
<div class="panel">
<div class="panel-heading">
<h4>Hello</h4>
</div>
<div class="panel-body">
<ul class="list" id="list-1">
<li class="element">Foo</li>
<li class="element">Bar</li>
<li class="element">Jay</li>
</ul>
<ul class="list list-small" id="list-2">
<li class="element">Foo</li>
<li class="element">Bar</li>
</ul>
</div>
</div>
'''
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
for li in soup.select('li'):
print(li.get_text())
Foo
Bar
Jay
Foo
Bar

总结:

  • 推荐使用lxml解析库,必要时使用html.parser
  • 标签选择筛选功能弱但是速度快
  • 建议使用find()、find_all() 查询匹配单个结果或者多个结果
  • 如果对CSS选择器熟悉建议使用select()

实例:中国大学排名爬虫

步骤1:从网络上获取大学排名网页内容getHTMLText()
步骤2:提取网页内容中信息到合适的数据结构fillUnivList()
步骤3:利用数据结构展示并输出结果printUnivLise()

import requests
from bs4 import BeautifulSoup
import bs4 def getHTMLText(url):
try:
r = requests.get(url, timeout=30)
r.raise_for_status()
r.encoding = r.apparent_encoding
return r.text
except:
return "error" def fillUnivList(ulist, html):
soup = BeautifulSoup(html, "html.parser")
for tr in soup.find('tbody').children:
if isinstance(tr, bs4.element.Tag): # 过滤掉非标签类型
tds = tr('td')
ulist.append([tds[0].string, tds[1].string, tds[3].string]) # 中文对齐问题的解决:
# 采用中文字符的空格填充 chr(12288)
def printUnivList(ulist, num):
tplt = "{0:^10}\t{1:{3}^10}\t{2:^10}"
print(tplt.format("排名", "学校名称", "总分", chr(12288)))
for i in range(num):
u = ulist[i]
print(tplt.format(u[0], u[1], u[2], chr(12288))) def main():
uinfo = []
url = 'http://www.zuihaodaxue.cn/zuihaodaxuepaiming2019.html'
html = getHTMLText(url)
fillUnivList(uinfo, html)
printUnivList(uinfo, 20) if __name__ == '__main__':
main()

代码

采集到的数据使用pyecharts进行数据可视化展示

import requests,json,re,bs4
from bs4 import BeautifulSoup header = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3472.3 Safari/537.36'} def getHtmlText(url):
try:
ret = requests.get(url , headers=header , timeout=30)
ret.encoding = "utf8"
ret.raise_for_status()
return ret.text
except:
return None def fillUnivList(ulist,html):
soup = BeautifulSoup(html,"lxml")
for tr in soup.tbody.children:
if isinstance(tr, bs4.element.Tag): #判断tr是否是bs4.element.Tag类型
tds = tr("td")
# print(tds)
ulist.append([tds[0].string,tds[1].string,tds[2].string,tds[3].string]) # 中文对齐问题的解决:
# 采用中文字符的空格填充 chr(12288)
def printUnivList(ulist, num):
tplt = "{0:^10}\t{1:{3}^10}\t{2:^10}"
print(tplt.format("排名", "学校名称", "总分", chr(12288)))
for i in range(num):
u = ulist[i]
print(tplt.format(u[0], u[1], u[3], chr(12288))) #pyecharts数据可视化展示
def showData(ulist,num):
from pyecharts import Bar
attrs = []
vals = []
for i in range(num):
attrs.append(ulist[i][1])
vals.append(ulist[i][3])
bar = Bar("2019中国大学排行榜")
bar.add(
"中国大学排行榜",
attrs,
vals,
is_datazoom_show=True,
datazoom_type="both",
datazoom_range=[0, 10],
xaxis_rotate=30,
xaxis_label_textsize=8,
is_label_show=True,
)
bar.render("2019中国大学排行榜4.html") def showData_funnel(ulist,num):
from pyecharts import Funnel
attrs = []
vals = []
for i in range(num):
attrs.append(ulist[i][1])
vals.append(ulist[i][3])
funnel = Funnel(width=1000,height=800)
funnel.add(
"大学排行榜",
attrs,
vals,
is_label_show=True,
label_pos="inside",
label_text_color="#fff",
)
funnel.render("2019中国大学排行榜4.html") def main():
uinfo = []
url = 'http://www.zuihaodaxue.cn/zuihaodaxuepaiming2019.html'
html = getHtmlText(url)
fillUnivList(uinfo, html)
print(uinfo)
# showData(uinfo,100)
showData_funnel(uinfo,20)
# printUnivList(uinfo, 30) if __name__ == '__main__':
main()

代码

补充1:

Python中内建函数isinstance的用法

语法:isinstance(object,type)

作用:来判断一个对象是否是一个已知的类型。

其第一个参数(object)为对象,第二个参数(type)为类型名(int...)或类型名的一个列表((int,list,float)是一个列表)。其返回值为布尔型(True or flase)。

若对象的类型与参数二的类型相同则返回True。若参数二为一个元组,则若对象类型与元组中类型名之一相同即返回True。

下面是两个例子:

例一

>>> a = 4
>>> isinstance (a,int)
True
>>> isinstance (a,str)
False
>>> isinstance (a,(str,int,list))
True

例二

>>> a = "b"
>>> isinstance(a,str)
True
>>> isinstance(a,int)
False
>>> isinstance(a,(int,list,float))
False
>>> isinstance(a,(int,list,float,str))
True

补充2:

Response.raise_for_status()

如果发送了一个错误请求(一个 4XX 客户端错误,或者 5XX 服务器错误响应),我们可以通过 Response.raise_for_status() 来抛出异常:

>>> bad_r = requests.get('http://httpbin.org/status/404')
>>> bad_r.status_code
404
>>> bad_r.raise_for_status()
Traceback (most recent call last):
File "requests/models.py", line 832, in raise_for_status
raise http_error
requests.exceptions.HTTPError: 404 Client Error

但是,由于我们的例子中 r 的 status_code 是 200 ,当我们调用 raise_for_status()时,得到的是:

>>> r.raise_for_status()
None

参考:

http://www.cnblogs.com/0bug/p/8260834.html

http://pyecharts.org/#/

https://www.cnblogs.com/kongzhagen/p/6472746.html

https://www.cnblogs.com/haiyan123/p/8289560.html

https://www.cnblogs.com/haiyan123/p/8317398.html

【Python爬虫】BeautifulSoup网页解析库的更多相关文章

  1. Python_爬虫_BeautifulSoup网页解析库

    BeautifulSoup网页解析库 from bs4 import BeautifulSoup 0.BeautifulSoup网页解析库包含 的 几个解析器 Python标准库[主要,系统自带;] ...

  2. 【Python爬虫】PyQuery解析库

    PyQuery解析库 阅读目录 初始化 基本CSS选择器 查找元素 遍历 获取信息 DOM操作 伪类选择器 PyQuery 是 Python 仿照 jQuery 的严格实现.语法与 jQuery 几乎 ...

  3. Python爬虫3大解析库使用导航

    1. Xpath解析库 2. BeautifulSoup解析库 3. PyQuery解析库

  4. python爬虫之网页解析

    CSS Selector 与Xpath path = ‘D:\\Postgraduate\\Python\\python_projects\\Python视频 分布式 爬虫Scrapy入门到精通\\第 ...

  5. Python爬虫-- BeautifulSoup库

    BeautifulSoup库 beautifulsoup就是一个非常强大的工具,爬虫利器.一个灵活又方便的网页解析库,处理高效,支持多种解析器.利用它就不用编写正则表达式也能方便的实现网页信息的抓取 ...

  6. Python网页解析库:用requests-html爬取网页

    Python网页解析库:用requests-html爬取网页 1. 开始 Python 中可以进行网页解析的库有很多,常见的有 BeautifulSoup 和 lxml 等.在网上玩爬虫的文章通常都是 ...

  7. Python的网页解析库-PyQuery

    PyQuery库也是一个非常强大又灵活的网页解析库,如果你有前端开发经验的,都应该接触过jQuery,那么PyQuery就是你非常绝佳的选择,PyQuery 是 Python 仿照 jQuery 的严 ...

  8. python爬虫知识点总结(一)库的安装

    环境要求: 1.编程语言版本python3: 2.系统:win10; 3.浏览器:Chrome68.0.3440.75:(如果不是最新版有可能影响到程序执行) 4.chromedriver2.41 注 ...

  9. python爬虫---BeautifulSoup的用法

    BeautifulSoup是一个灵活的网页解析库,不需要编写正则表达式即可提取有效信息. 推荐使用lxml作为解析器,因为效率更高. 在Python2.7.3之前的版本和Python3中3.2.2之前 ...

随机推荐

  1. buildroot 编译问题

    buildroot 编译的时候,出现 g++: internal compiler error: Killed (program cc1plus) 这个是因为虚拟机内存不足的原因, 加上一些内存即可 ...

  2. Mysql系列八:Mycat和Sharding-jdbc的区别、Mycat分片join、Mycat分页中的坑、Mycat注解、Catlet使用

    一.Mycat和Sharding-jdbc的区别 1)mycat是一个中间件的第三方应用,sharding-jdbc是一个jar包 2)使用mycat时不需要改代码,而使用sharding-jdbc时 ...

  3. ubuntu下mysql远程连接和访问慢的解决方法

    原本连接很快的mysql服务器,连接速度奇慢.以前几十毫秒的连接现在完成一次要近5秒钟,在排除了网络问题后,只有从mysql下手.原来每次访问db,mysql就会试图去解析来访问的机器的domain ...

  4. 这才是真正的裸眼3D!超级震撼!!

    大家有没认为有意思啦,反正俺是被震撼到了. 好奇异-- ! " src="http://www.yixieshi.com/uploads/allimg/141116/1446431 ...

  5. Fiddler 使用命令行

    在 Fiddler 界面左下角处,可以输出一些快捷命令,常用的快捷命令如下: help:查看命令帮助cls:清屏,即清空会话列表中的所有会话select:选择某一类型的会话,如 select html ...

  6. Linux Platform驱动模型(一) _设备信息

    我在Linux字符设备驱动框架一文中简单介绍了Linux字符设备编程模型,在那个模型中,只要应用程序open()了相应的设备文件,就可以使用ioctl通过驱动程序来控制我们的硬件,这种模型直观,但是从 ...

  7. LeetCode - 872. Leaf-Similar Trees

    Consider all the leaves of a binary tree.  From left to right order, the values of those leaves form ...

  8. LinkedIn文本分析平台:主题挖掘的四大技术步骤

    作者 Yongzheng (Tiger) Zhang ,译者 木环 ,本人只是备份一下.. LinkedIn前不久发布两篇文章分享了自主研发的文本分析平台Voices的概览和技术细节.LinkedIn ...

  9. asp.net C#绘制太极图

    成品图: html页面: 注意设置 ContentType="Image/Jpeg" <%@ Page Language="C#" AutoEventWi ...

  10. cc2640 细节展示

    1. 对于 cc2640内部有两个单片机,一个m3负责内核,另一个是一个16位单片机,应该是msp430可以替代主机完成一些数据采集,adc采集,iic等等功能,传感器软件内部可以进行外设配置,并使用 ...