Python爬虫BeautifulSoup4的使用方法
今天就跟大家聊聊有关Python爬虫BeautifulSoup4的使用方法,可能很多人都不太了解,为了让大家更加了解,小编给大家总结了以下内容,希望大家根据这篇文章可以有所收获。
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爬虫——BeautifulSoup4解析器
BeautifulSoup用来解析HTML比较简单,API非常人性化,支持CSS选择器、Python标准库中的HTML解析器,也支持lxml的XML解析器。
其相较与正则而言,使用更加简单。
示例:
首先必须要导入bs4库
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") # 格式化输出 soup 对象的内容 print(soup.prettify())
运行结果
The Dormouse's story The Dormouse's story
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.
...
四大对象种类
BeautifulSoup将复杂的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:
(1)Tag
(2)NavigableString
(3)BeautifulSoup
(4)Comment
1.Tag
Tag 通俗点讲就是HTML中的一个个标签,例如:
The Dormouse's story The Dormouse's story
上面title head a p 等等HTML标签加上里面包括的内容就是Tag,那么试着使用BeautifulSoup来获取Tags:
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") # # 打印title标签 print(soup.title) # 打印head标签 print(soup.head) # 打印a标签 print(soup.a) # 打印p标签 print(soup.p) # 打印soup.p的类型 print(type(soup.p))
运行结果
The Dormouse's story The Dormouse's story The Dormouse's story
我们可以利用soup加标签名轻松地获取这些标签内容,这些对象的类型是bs4.element.Tag。但是注意,它查找的是在所有内容中的第一个符合要求的标签。如果需要查询所有的标签,后面会进行介绍。
对于Tag,它有两个重要的属性,就是name和attrs。
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") # soup对象比较特殊,它的name为[document] print(soup.name) # 对于其他内部标签,输出的值便为标签本身的名称 print(soup.head.name) # 打印p标签的所有属性,其类型是一个字典 print(soup.p.attrs) # 打印p标签的class属性 print(soup.p['class']) # 还可以利用get方法获取属性,传入属性的名称,与上面的方法等价 print(soup.p.get('class')) print(soup.p) # 修改属性 soup.p['class'] = "newClass" print(soup.p) # 删除属性 del soup.p['class'] print(soup.p)
运行结果
[document] head {'class': ['title'], 'name': 'dromouse'} ['title'] ['title']The Dormouse's story
The Dormouse's story
The Dormouse's story
2.NavigableString
既然我们已经得到了标签的内容,那么问题来了,我们想要获取标签内部的文字怎么办呢?很简单,用.string即可,例如:
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") # 打印p标签的内容 print(soup.p.string) # 打印soup.p.string的类型 print(type(soup.p.string))
运行结果
The Dormouse's story
3.BeautifulSoup
BeautifulSoup对象表示的是一个文档的内容。大部分时候,可以把它当作Tag对象,是一个特殊的Tag,我们可以分别获取它的类型,名称,以及属性。
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") # 类型 print(type(soup.name)) # 名称 print(soup.name) # 属性 print(soup.attrs)
运行结果
[document] {}
4.Comment
Comment对象是一个特殊类型的NavigableString对象,其输出的内容不包括注释符号。
#!/usr/bin/python3 # -*- coding:utf-8 -*- from bs4 import BeautifulSoup html = """The Dormouse's story The Dormouse's story
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.
...
""" # 创建 Beautiful Soup 对象,指定lxml解析器 soup = BeautifulSoup(html, "lxml") print(soup.a) print(soup.a.string) print(type(soup.a.string))
运行结果
Elsie
a标签里的内容实际上是注释,但是如果我们利用.string来输出它的内容时,注释符号已经去掉了。
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