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web爬虫,BeautifulSoup

发布时间:2023-09-06 01:19责任编辑:胡小海关键词:爬虫

BeautifulSoup

该模块用于接收一个HTML或XML字符串,然后将其进行格式化,之后遍可以使用他提供的方法进行快速查找指定元素,从而使得在HTML或XML中查找指定元素变得简单。

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frombs4importBeautifulSoup
html_doc="""
<html><head><title>The Dormouse‘s story</title></head>
<body>
asdf
<div >
<b>The Dormouse‘s story总共</b>
<h1>f</h1>
</div>
<div >Once upon a time there were three little sisters; and their names were
<a >Els<span>f</span>ie</a>,
<a href="http://example.com/lacie" >Lacie</a> and
<a href="http://example.com/tillie" >Tillie</a>;
and they lived at the bottom of a well.</div>
ad<br/>sf
<p >...</p>
</body>
</html>
"""
soup=BeautifulSoup(html_doc, features="lxml")
# 找到第一个a标签
tag1=soup.find(name=‘a‘)
# 找到所有的a标签
tag2=soup.find_all(name=‘a‘)
# 找到id=link2的标签
tag3=soup.select(‘#link2‘)

使用示例:

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frombs4importBeautifulSoup
html_doc="""
<html><head><title>The Dormouse‘s story</title></head>
<body>
...
</body>
</html>
"""
soup=BeautifulSoup(html_doc, features="lxml")

1. name,标签名称

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# tag = soup.find(‘a‘)
# name = tag.name # 获取
# print(name)
# tag.name = ‘span‘ # 设置
# print(soup)

2. attr,标签属性

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# tag = soup.find(‘a‘)
# attrs = tag.attrs # 获取
# print(attrs)
# tag.attrs = {‘ik‘:123} # 设置
# tag.attrs[‘id‘] = ‘iiiii‘ # 设置
# print(soup)

3. children,所有子标签

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# body = soup.find(‘body‘)
# v = body.children

4. children,所有子子孙孙标签

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# body = soup.find(‘body‘)
# v = body.descendants

5. clear,将标签的所有子标签全部清空(保留标签名)

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# tag = soup.find(‘body‘)
# tag.clear()
# print(soup)

6. decompose,递归的删除所有的标签

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# body = soup.find(‘body‘)
# body.decompose()
# print(soup)

7. extract,递归的删除所有的标签,并获取删除的标签

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# body = soup.find(‘body‘)
# v = body.extract()
# print(soup)

8.decode,转换为字符串(含当前标签);decode_contents(不含当前标签)

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# body = soup.find(‘body‘)
# v = body.decode()
# v = body.decode_contents()
# print(v)

9.encode,转换为字节(含当前标签);encode_contents(不含当前标签)

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# body = soup.find(‘body‘)
# v = body.encode()
# v = body.encode_contents()
# print(v)

10.find,获取匹配的第一个标签

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# tag = soup.find(‘a‘)
# print(tag)
# tag = soup.find(name=‘a‘, attrs={‘class‘: ‘sister‘}, recursive=True, text=‘Lacie‘)
# tag = soup.find(name=‘a‘, class_=‘sister‘, recursive=True, text=‘Lacie‘)
# print(tag)

11. find_all,获取匹配的所有标签

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# tags = soup.find_all(‘a‘)
# print(tags)
# tags = soup.find_all(‘a‘,limit=1)
# print(tags)
# tags = soup.find_all(name=‘a‘, attrs={‘class‘: ‘sister‘}, recursive=True, text=‘Lacie‘)
# # tags = soup.find(name=‘a‘, class_=‘sister‘, recursive=True, text=‘Lacie‘)
# print(tags)
# ####### 列表 #######
# v = soup.find_all(name=[‘a‘,‘div‘])
# print(v)
# v = soup.find_all(class_=[‘sister0‘, ‘sister‘])
# print(v)
# v = soup.find_all(text=[‘Tillie‘])
# print(v, type(v[0]))
# v = soup.find_all(id=[‘link1‘,‘link2‘])
# print(v)
# v = soup.find_all(href=[‘link1‘,‘link2‘])
# print(v)
# ####### 正则 #######
importre
# rep = re.compile(‘p‘)
# rep = re.compile(‘^p‘)
# v = soup.find_all(name=rep)
# print(v)
# rep = re.compile(‘sister.*‘)
# v = soup.find_all(class_=rep)
# print(v)
# rep = re.compile(‘http://www.oldboy.com/static/.*‘)
# v = soup.find_all(href=rep)
# print(v)
# ####### 方法筛选 #######
# def func(tag):
# return tag.has_attr(‘class‘) and tag.has_attr(‘id‘)
# v = soup.find_all(name=func)
# print(v)
# ## get,获取标签属性
# tag = soup.find(‘a‘)
# v = tag.get(‘id‘)
# print(v)

12.has_attr,检查标签是否具有该属性

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# tag = soup.find(‘a‘)
# v = tag.has_attr(‘id‘)
# print(v)

13.get_text,获取标签内部文本内容

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# tag = soup.find(‘a‘)
# v = tag.get_text
# print(v)

14.index,检查标签在某标签中的索引位置

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# tag = soup.find(‘body‘)
# v = tag.index(tag.find(‘div‘))
# print(v)
# tag = soup.find(‘body‘)
# for i,v in enumerate(tag):
# print(i,v)

15.is_empty_element,是否是空标签(是否可以是空)或者自闭合标签,

判断是否是如下标签:‘br‘ , ‘hr‘, ‘input‘, ‘img‘, ‘meta‘,‘spacer‘, ‘link‘, ‘frame‘, ‘base‘

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# tag = soup.find(‘br‘)
# v = tag.is_empty_element
# print(v)

16. 当前的关联标签

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# soup.next
# soup.next_element
# soup.next_elements
# soup.next_sibling
# soup.next_siblings
#
# tag.previous
# tag.previous_element
# tag.previous_elements
# tag.previous_sibling
# tag.previous_siblings
#
# tag.parent
# tag.parents

17. 查找某标签的关联标签

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# tag.find_next(...)
# tag.find_all_next(...)
# tag.find_next_sibling(...)
# tag.find_next_siblings(...)
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