以前讲过利用phantomjs做爬虫抓网页 http://www.jb51.net/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
复制代码 代码如下:
soup = BeautifulSoup('<b>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
复制代码 代码如下:
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 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 href="http://example.com/elsie" id="link1">Elsie</a> soup.find_all('a') # [<a href="http://example.com/elsie" id="link1">Elsie</a>, # <a href="http://example.com/lacie" id="link2">Lacie</a>, # <a 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'