BeautifulSoup文档3-详细方法 | 如何对文档树进行遍历?
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(3-详细方法 | 如何对文档树进行遍历?)
- 以下实例还是官网的例子:
html_doc = """
<html><head><title>The Dormouses story</title></head>
<body>
<p class="title"><b>The Dormouses story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a rel="nofollow" href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
<a rel="nofollow" href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
<a rel="nofollow" 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_doc, html.parser)
1 子节点
1.1 tag的名字
1.1.1 获取head标签
# 获取head
print(soup.head)
- 输出为:
<head><title>The Dormouses story</title></head>
1.1.2 获取title
# 获取title
print(soup.title)
- 输出为:
<title>The Dormouses story</title>
1.1.3 获取body
标签中的第一个b
标签
# 获取<body>标签中的第一个<b>标签
print(soup.body.b)
- 输出为:
<b>The Dormouses story</b>
1.1.4 获得当前名字的第一个tag
# 获得当前名字的第一个tag
print(soup.a)
- 输出为:
<a rel="nofollow" class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
1.1.5 获取所有a标签
# 获取所有a标签
print(soup.find_all(a))
- 输出为:
[<a rel="nofollow" class="sister" href="http://example.com/elsie" id="link1">Elsie</a>,
<a rel="nofollow" class="sister" href="http://example.com/lacie" id="link2">Lacie</a>,
<a rel="nofollow" class="sister" href="http://example.com/tillie" id="link3">Tillie</a>]
1.2 .contents 和 .children
.contents
属性将tag
子节点以列表的方式输出:
# .contents属性将`tag`子节点以列表的方式输出
head_tag = soup.head
print(head_tag)
print(head_tag.contents)
title_tag = head_tag.contents[0]
print(title_tag)
print(title_tag.contents)
- 输出为:
<head><title>The Dormouses story</title></head>
[<title>The Dormouses story</title>]
<title>The Dormouses story</title>
["The Dormouses story"]
.children
生成器,可以对tag
的子节点进行循环:
# .children生成器,可以对tag的子节点进行循环
for child in title_tag.children:
print(child)
- 输出为:
The Dormouses story
1.3 .descendants
.descendants
属性对所有tag
的子孙节点进行递归循环:
for child in head_tag.descendants:
print(child)
- 输出为:
<title>The Dormouses story</title>
The Dormouses story
1.4 .string
- 如果
tag
只有一个NavigableString
类型子节点,那么这个tag
可以使用.string
得到子节点:
# 如果tag只有一个 NavigableString 类型子节点,那么这个tag可以使用 .string 得到子节点:
print(title_tag.string)
- 输出为:
The Dormouses story
1.5 .strings 和 stripped_strings
- 如果
tag
中包含多个字符串,可以使用.strings
来循环获取:
for string in soup.strings:
print(repr(string))
- 输出为:
\\n
"The Dormouses story"
\\n
\\n
"The Dormouses story"
\\n
Once upon a time there were three little sisters; and their names were\\n
Elsie
,\\n
Lacie
and\\n
Tillie
;\\nand they lived at the bottom of a well.
\\n
...
\\n
- 使用
.stripped_strings
可以去除多余空白内容:
# 使用 .stripped_strings 可以去除多余空白内容:
for string in soup.stripped_strings:
print(repr(string))
- 输出为:
"The Dormouses story"
"The Dormouses story"
Once upon a time there were three little sisters; and their names were
Elsie
,
Lacie
and
Tillie
;\\nand they lived at the bottom of a well.
...
2 父节点
2.1 .parent
- 通过
.parent
属性来获取某个元素的父节点; head
标签是title
标签的父节点:
# 通过 .parent 属性来获取某个元素的父节点,head标签是title标签的父节点:
title_tag = soup.title
print(title_tag)
print(title_tag.parent)
- 输出为:
<title>The Dormouses story</title>
<head><title>The Dormouses story</title></head>
2.2 .parents
- 通过元素的 .parents 属性可以递归得到元素的所有父辈节点:
link = soup.a
print(link)
for parent in link.parents:
if parent is None:
print(parent)
else:
print(parent.name)
- 输出为:
<a rel="nofollow" class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
p
body
html
[document]
3 兄弟节点
- 两个标签是同一层,他们是同一个元素的子节点,则这两个标签是兄弟节点;
- 如下,b和c标签是兄弟节点:
sibling_soup = BeautifulSoup("<a><b>text1</b><c>text2</c></b></a>")
print(sibling_soup.prettify())
- 输出为:
<a>
<b>
text1
</b>
<c>
text2
</c>
</a>
3.1 .next_sibling 和 .previous_sibling
- 使用
.next_sibling
和.previous_sibling
属性来查询兄弟节点:
# 使用 .next_sibling 和 .previous_sibling 属性来查询兄弟节点:
print(sibling_soup.b.next_sibling)
print(sibling_soup.c.previous_sibling)
- 输出为:
<c>text2</c>
<b>text1</b>
3.2 .next_siblings 和 .previous_siblings
- 通过
.next_siblings
和.previous_siblings
属性可以对当前节点的兄弟节点迭代输出:
for sibling in soup.a.next_siblings:
print(repr(sibling))
for sibling in soup.find(id="link3").previous_siblings:
print(repr(sibling))
- 输出为:
,\\n
<a rel="nofollow" class="sister" href="http://example.com/lacie" id="link2">Lacie</a>
and\\n
<a rel="nofollow" class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
;\\nand they lived at the bottom of a well.
and\\n
<a rel="nofollow" class="sister" href="http://example.com/lacie" id="link2">Lacie</a>
,\\n
<a rel="nofollow" class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
Once upon a time there were three little sisters; and their names were\\n
4 回退和前进
4.1 .next_element 和 .previous_element
.next_element
属性指向解析过程中下一个被解析的对象(字符串或tag
):
last_a_tag = soup.find("a", id="link3")
print(last_a_tag)
print(last_a_tag.next_sibling)
- 输出为:
<a rel="nofollow" class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
;
and they lived at the bottom of a well.
.previous_element
属性刚好与.next_element
相反,它指向当前被解析的对象的前一个解析对象:
print(last_a_tag.previous_element)
print(last_a_tag.previous_element.next_element)
- 输出为:
and
<a rel="nofollow" class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
4.2 .next_elements 和 .previous_elements
- 通过
.next_elements
和.previous_elements
的迭代器就可以向前或向后访问文档的解析内容:
for element in last_a_tag.next_elements:
print(repr(element))
- 输出为:
Tillie
;\\nand they lived at the bottom of a well.
\\n
<p class="story">...</p>
...
\\n
5 本为涉及的源码:
# -*- coding:utf-8 -*-
# 作者:NoamaNelson
# 日期:2023/2/16
# 文件名称:bs03.py
# 作用:BeautifulSoup的使用
# 博客:https://blog.csdn.net/NoamaNelson
from bs4 import BeautifulSoup
html_doc = """
<html><head><title>The Dormouses story</title></head>
<body>
<p class="title"><b>The Dormouses story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a rel="nofollow" href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
<a rel="nofollow" href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
<a rel="nofollow" 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_doc, html.parser)
# ====== 子节点======
# 获取head
print(soup.head)
# 获取title
print(soup.title)
# 获取<body>标签中的第一个<b>标签
print(soup.body.b)
# 获得当前名字的第一个tag
print(soup.a)
# 获取所有a标签
print(soup.find_all(a))
# .contents属性将`tag`子节点以列表的方式输出
head_tag = soup.head
print(head_tag)
print(head_tag.contents)
title_tag = head_tag.contents[0]
print(title_tag)
print(title_tag.contents)
# .children生成器,可以对tag的子节点进行循环
for child in title_tag.children:
print(child)
# .descendants属性对所有tag的子孙节点进行递归循环
for child in head_tag.descendants:
print(child)
# 如果tag只有一个 NavigableString 类型子节点,那么这个tag可以使用 .string 得到子节点:
print(title_tag.string)
# 如果tag中包含多个字符串,可以使用 .strings来循环获取
for string in soup.strings:
print(repr(string))
# 使用 .stripped_strings 可以去除多余空白内容:
for string in soup.stripped_strings:
print(repr(string))
# ====== 父节点======
# 通过 .parent 属性来获取某个元素的父节点,head标签是title标签的父节点:
title_tag = soup.title
print(title_tag)
print(title_tag.parent)
# 通过元素的 .parents 属性可以递归得到元素的所有父辈节点
link = soup.a
print(link)
for parent in link.parents:
if parent is None:
print(parent)
else:
print(parent.name)
# ====== 兄弟节点======
sibling_soup = BeautifulSoup("<a><b>text1</b><c>text2</c></b></a>", html.parser)
print(sibling_soup.prettify())
# 使用 .next_sibling 和 .previous_sibling 属性来查询兄弟节点:
print(sibling_soup.b.next_sibling)
print(sibling_soup.c.previous_sibling)
# 通过 .next_siblings 和 .previous_siblings 属性可以对当前节点的兄弟节点迭代输出
for sibling in soup.a.next_siblings:
print(repr(sibling))
for sibling in soup.find(id="link3").previous_siblings:
print(repr(sibling))
# ====== 回退和前进======
# .next_element 属性指向解析过程中下一个被解析的对象(字符串或tag)
last_a_tag = soup.find("a", id="link3")
print(last_a_tag)
print(last_a_tag.next_sibling)
# .previous_element 属性刚好与 .next_element 相反,它指向当前被解析的对象的前一个解析对象
print(last_a_tag.previous_element)
print(last_a_tag.previous_element.next_element)
# 通过 .next_elements 和 .previous_elements 的迭代器就可以向前或向后访问文档的解析内容
for element in last_a_tag.next_elements:
print(repr(element))
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