[基础]-beautifulsoup模块使用详解

BeautifulSoup是一个模块,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。

更多详情参阅中文文档:https://beautifulsoup.readthedocs.io/zh_CN/v4.4.0/

目录

安装:

使用示例:

1. name,标签名称 

2. attr,标签属性

3. children,所有子标

4. children,所有子子孙孙标签

5. clear,将标签的所有子标签全部清空(保留标签名)

6. decompose,递归的删除所有的标签

7. extract,递归的删除所有的标签,并获取删除的标签

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

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

10. find,获取匹配的第一个标签

11. find_all,获取匹配的所有标签

12. has_attr,检查标签是否具有该属性 

13. get_text,获取标签内部文本内容

14. index,检查标签在某标签中的索引位置

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

16. 当前的关联标签

17. 查找某标签的关联标签

18. select,select_one, CSS选择器

19. 标签的内容 

20.append在当前标签内部追加一个标签

21.insert在当前标签内部指定位置插入一个标签

22. insert_after,insert_before 在当前标签后面或前面插入

23. replace_with 在当前标签替换为指定标签

24. 创建标签之间的关系

25. wrap,将指定标签把当前标签包裹起来 

26. unwrap,去掉当前标签,将保留其包裹的标签 


from bs4 import BeautifulSoup
 
html_doc = """
The Dormouse's story

asdf
    
The Dormouse's story总共

f

Once upon a time there were three little sisters; and their names were Elsfie, Lacie and Tillie; and they lived at the bottom of a well.
ad
sf

...

""" 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')

安装:

pip3 install beautifulsoup4

使用示例:

from bs4 import BeautifulSoup
 
html_doc = """
The Dormouse's story

    ...


"""
 
soup = BeautifulSoup(html_doc, features="lxml")

1. name,标签名称 

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

2. attr,标签属性

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

body = soup.find('body')
v = body.children

4. children,所有子子孙孙标签

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)

tag = soup.find('body')
tag.clear()
print(soup)

6. decompose,递归的删除所有的标签

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

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)

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)

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

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

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 #######
import re
# 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 

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

13. get_text,获取标签内部文本内容

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

14. index,检查标签在某标签中的索引位置

# 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'

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

16. 当前的关联标签

# 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

# tag.find_next(...)
# tag.find_all_next(...)
# tag.find_next_sibling(...)
# tag.find_next_siblings(...)
 
# tag.find_previous(...)
# tag.find_all_previous(...)
# tag.find_previous_sibling(...)
# tag.find_previous_siblings(...)
 
# tag.find_parent(...)
# tag.find_parents(...)
 
# 参数同find_all

18. select,select_one, CSS选择器

soup.select("title")
 
soup.select("p nth-of-type(3)")
 
soup.select("body a")
 
soup.select("html head title")
 
tag = soup.select("span,a")
 
soup.select("head > title")
 
soup.select("p > a")
 
soup.select("p > a:nth-of-type(2)")
 
soup.select("p > #link1")
 
soup.select("body > a")
 
soup.select("#link1 ~ .sister")
 
soup.select("#link1 + .sister")
 
soup.select(".sister")
 
soup.select("[class~=sister]")
 
soup.select("#link1")
 
soup.select("a#link2")
 
soup.select('a[href]')
 
soup.select('a[href="http://example.com/elsie"]')
 
soup.select('a[href^="http://example.com/"]')
 
soup.select('a[href$="tillie"]')
 
soup.select('a[href*=".com/el"]')
 
 
from bs4.element import Tag
 
def default_candidate_generator(tag):
    for child in tag.descendants:
        if not isinstance(child, Tag):
            continue
        if not child.has_attr('href'):
            continue
        yield child
 
tags = soup.find('body').select("a", _candidate_generator=default_candidate_generator)
print(type(tags), tags)
 
from bs4.element import Tag
def default_candidate_generator(tag):
    for child in tag.descendants:
        if not isinstance(child, Tag):
            continue
        if not child.has_attr('href'):
            continue
        yield child
 
tags = soup.find('body').select("a", _candidate_generator=default_candidate_generator, limit=1)
print(type(tags), tags)

19. 标签的内容 

# tag = soup.find('span')
# print(tag.string)          # 获取
# tag.string = 'new content' # 设置
# print(soup)
 
# tag = soup.find('body')
# print(tag.string)
# tag.string = 'xxx'
# print(soup)
 
# tag = soup.find('body')
# v = tag.stripped_strings  # 递归内部获取所有标签的文本
# print(v)

20.append在当前标签内部追加一个标签

# tag = soup.find('body')
# tag.append(soup.find('a'))
# print(soup)
#
# from bs4.element import Tag
# obj = Tag(name='i',attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# tag.append(obj)
# print(soup)

21.insert在当前标签内部指定位置插入一个标签

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# tag.insert(2, obj)
# print(soup)

22. insert_after,insert_before 在当前标签后面或前面插入

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('body')
# # tag.insert_before(obj)
# tag.insert_after(obj)
# print(soup)

23. replace_with 在当前标签替换为指定标签

# from bs4.element import Tag
# obj = Tag(name='i', attrs={'id': 'it'})
# obj.string = '我是一个新来的'
# tag = soup.find('div')
# tag.replace_with(obj)
# print(soup)

24. 创建标签之间的关系

# tag = soup.find('div')
# a = soup.find('a')
# tag.setup(previous_sibling=a)
# print(tag.previous_sibling)

25. wrap,将指定标签把当前标签包裹起来 

# from bs4.element import Tag
# obj1 = Tag(name='div', attrs={'id': 'it'})
# obj1.string = '我是一个新来的'
#
# tag = soup.find('a')
# v = tag.wrap(obj1)
# print(soup)
 
# tag = soup.find('a')
# v = tag.wrap(soup.find('p'))
# print(soup)

26. unwrap,去掉当前标签,将保留其包裹的标签 

# tag = soup.find('a')
# v = tag.unwrap()
# print(soup)

========================================end 木风卜雨========================================

========================================end 木风卜雨========================================

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