本文是Mooc上 Python网络爬虫与信息提取 的笔记
这里以PyCharm为例(因为我用的就是这种方法)
点击的顺序为
File->Settings->Project:Pycharm->Python Interperter->
然后点击右上角的加号.添加我们想要加入的库
一个HTML文件是由一组<>构成的标签组成的
Beautiful Soup库就是用来处理这些标签的
..
: 标签 Tag
…
名称 Name 属性 Attributes
成对出现 0个或者多个
Beautiful Soup库的引用
Beautiful Soup库,也叫 beautifulsoup4或者bs4
引用方式如下
from bs4 import BeautifulSoup
HTML文档 标签树 BeautifulSoup 是相等的
BeautifulSoup对应一个HTML/XML文档的全部内容
soup = BeautifulSoup(‘data’,‘html.parser’)
‘html.parser’ 就是更改的内容
解析器 | 使用方法 | 条件 |
---|---|---|
bs4的HTML解析器 | BeautifulSoup(mk,‘html.parser’) | 安装bs4库 |
lxml的HTML解析器 | BeautifulSoup(mk,‘lxml’) | pip install lxml |
lxml的XML解析器 | BeautifulSoup(mk,‘xml’) | pip install lxml |
html5lib的解析器 | BeautifulSoup(mk,‘html5lib’) | pip install html5lib |
…
基本元素 | 说明 |
---|---|
Tag | 标签,最基本的信息组织单元,分别用<>和>标明开头和结尾 |
Name | 标签的名字, … 的名字是’p’,格式:.name |
Attributes | 标签的属性,字典形式组织,格式:.attrs |
NavigableString | 标签内非属性字符串,<>…>中字符串,格式:.string |
Comment | 标签内字符串的注释部分,一种特殊的Comment类型 |
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text #获取到url 地点的源码
soup = BeautifulSoup(demo,'html.parser')
print(soup.title) #输出title标签的内容
结果如下
This is a python demo page
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text #获取到url 地点的源码
soup = BeautifulSoup(demo,'html.parser')
print(soup.a.name) #输出a标签的名字
print(soup.a.parent.name) #输出a标签的父标签的名字
print(soup.a.parent.parent.name) #输出a标签的父标签的父标签的名字
结果如下
a
p
body
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text #获取到url 地点的源码
soup = BeautifulSoup(demo,'html.parser')
tag = soup.a
print(tag.attrs) #输出a标签的属性
print(tag.attrs['class']) #输出a标签中的class属性
print(tag.attrs['href']) #输出a标签的链接属性
print(type(tag.attrs)) #输出a属性的类型
print(type(tag)) #输出标签的类型(返回的是一个字典)
结果如下
{'href': 'http://www.icourse163.org/course/BIT-268001', 'class': ['py1'], 'id': 'link1'}
['py1']
http://www.icourse163.org/course/BIT-268001
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text #获取到url 地点的源码
soup = BeautifulSoup(demo,'html.parser')
print(soup.a)
print(soup.a.string) #查办a标签中的字符串
print(soup.p)
print(soup.p.string) #查看p标签中的字符串
print(type(soup.p.string)) #查看p标签中的字符串的类型
结果如下
Basic Python
Basic Python
The demo python introduces several python courses.
The demo python introduces several python courses.
import requests
from bs4 import BeautifulSoup
newsoup = BeautifulSoup('This is not a comment
','html.parser')
print(newsoup.b.string)
print(type(newsoup.b.string))
print(newsoup.p.string)
print(type(newsoup.p.string))
结果如下
This is a comment
This is not a comment
回顾demo的例子
import requests
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text
print(demo)
结果如下:
This is a python demo page
The demo python introduces several python courses.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python and Advanced Python.
HTML的基本格式可以分为一个树形结构
BeautifulSoup类型是标签树的根节点
属性 | 说明 |
---|---|
.contents | 子节点的列表,将所有儿子节点存入列表 |
.children | 子节点的迭代类型,与.contents类似,用于循环遍历儿子节点 |
.descendants | 子孙节点的迭代类型,包含所有子孙节点,用于循环遍历 |
学习代码如下
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text
soup = BeautifulSoup(demo,'html.parser')
print(soup.head)
print(soup.head.contents) #.contents返回的类型是列表
print(soup.body.contents)
print(len(soup.body.contents)) #输出body结点的个数
print(soup.body.contents[1]) #输出body结点的第二个
for child in soup.body.children: #遍历儿子节点
print(child)
for child in soup.body.descendants: #遍历子孙节点
print(child)
输出结果如下
This is a python demo page
[This is a python demo page ]
['\n', The demo python introduces several python courses.
, '\n', Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python and Advanced Python.
, '\n']
5
The demo python introduces several python courses.
The demo python introduces several python courses.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python and Advanced Python.
The demo python introduces several python courses.
The demo python introduces several python courses.
The demo python introduces several python courses.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python and Advanced Python.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python
Basic Python
and
Advanced Python
Advanced Python
.
属性 | 说明 |
---|---|
.parent | 节点的父亲标签 |
.parents | 节点先辈标签的迭代类型,用于循环遍历先辈节点 |
学习代码
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text
soup = BeautifulSoup(demo,'html.parser')
for parent in soup.a.parents:
if parent is None: #他的父亲结点可能是空的,所以要加上这样的一句
print(parent)
else:
print(parent.name)
结果如下
p
body
html
[document]
属性 | 说明 |
---|---|
.next_sibling | 返回按照HTML文本顺序的下一个平行节点标签 |
.previous_sibling | 返回按照HTML文本顺序的上一个平行节点标签 |
.next_siblings | 迭代类型,返回按照HTML文本顺序的后续所有平行节点标签 |
.previous_siblings | 迭代类型,返回按照HTML文本顺序的前续所有平行节点标签 |
平行遍历发生再同一个父结点下的各节点间
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text
soup = BeautifulSoup(demo,'html.parser')
for sibling in soup.a.next_siblings: #遍历后续结点
print(sibling)
for sibling in soup.a.previous_siblings: #遍历
print(sibling)
结果如下
and
Advanced Python
.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
import requests
from bs4 import BeautifulSoup
r = requests.get('http://python123.io/ws/demo.html')
demo = r.text
soup = BeautifulSoup(demo,'html.parser')
soup.prettify()
print(soup.prettify()) #prettify()会为每一个标签添加一个换行符
结果如下:
This is a python demo page
The demo python introduces several python courses.
Python is a wonderful general-purpose programming language. You can learn Python from novice to professional by tracking the following courses:
Basic Python
and
Advanced Python
.
总结:
BeautifulSoup
① 理解Bs4库的基本元素
② 了解遍历的方法