Posted in Python onSeptember 29, 2014
以前讲过利用phantomjs做爬虫抓网页 https://3water.com/article/55789.htm 是配合选择器做的
利用 beautifulSoup(文档 ：http://www.crummy.com/software/BeautifulSoup/bs4/doc/)这个python模块，可以很轻松的抓取网页内容
# coding=utf-8
import urllib
from bs4 import BeautifulSoup
url ='http://www.baidu.com/s'
values ={'wd':'网球'}
encoded_param = urllib.urlencode(values)
full_url = url +'?'+ encoded_param
response = urllib.urlopen(full_url)
soup =BeautifulSoup(response)
alinks = soup.find_all('a')
上面可以抓取百度搜出来结果是网球的记录。
beautifulSoup内置了很多非常有用的方法。
几个比较好用的特性：
构造一个node元素
soup = BeautifulSoup('<b class="boldest">Extremely bold</b>')
tag = soup.b
type(tag)
# <class 'bs4.element.Tag'>
属性可以使用attr拿到，结果是字典
tag.attrs
# {u'class': u'boldest'}
或者直接tag.class取属性也可。
也可以自由操作属性
tag['class'] = 'verybold'
tag['id'] = 1
tag
# <blockquote class="verybold" id="1">Extremely bold</blockquote>
del tag['class']
del tag['id']
tag
# <blockquote>Extremely bold</blockquote>
tag['class']
# KeyError: 'class'
print(tag.get('class'))
# None
还可以随便操作，查找dom元素，比如下面的例子
1.构建一份文档
html_doc = """ <html><head><title>The Dormouse's story</title></head> <p><b>The Dormouse's story</b></p> <p>Once upon a time there were three little sisters; and their names were <a href="http://example.com/elsie" id="link1">Elsie</a>, <a href="http://example.com/lacie" id="link2">Lacie</a> and <a href="http://example.com/tillie" id="link3">Tillie</a>; and they lived at the bottom of a well.</p> <p>...</p> """ from bs4 import BeautifulSoup soup = BeautifulSoup(html_doc)
2.各种搞
soup.head
# <head><title>The Dormouse's story</title></head>
soup.title
# <title>The Dormouse's story</title>
soup.body.b
# <b>The Dormouse's story</b>
soup.a
# <a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
soup.find_all('a')
# [<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>,
# <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>,
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>]
head_tag = soup.head
head_tag
# <head><title>The Dormouse's story</title></head>
head_tag.contents
[<title>The Dormouse's story</title>]
title_tag = head_tag.contents[0]
title_tag
# <title>The Dormouse's story</title>
title_tag.contents
# [u'The Dormouse's story']
len(soup.contents)
# 1
soup.contents[0].name
# u'html'
text = title_tag.contents[0]
text.contents
for child in title_tag.children:
print(child)
head_tag.contents
# [<title>The Dormouse's story</title>]
for child in head_tag.descendants:
print(child)
# <title>The Dormouse's story</title>
# The Dormouse's story
len(list(soup.children))
# 1
len(list(soup.descendants))
# 25
title_tag.string
# u'The Dormouse's story'
python利用beautifulSoup实现爬虫
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