本文实例讲述了python使用BeautifulSoup分析网页信息的方法。分享给大家供大家参考。具体如下：
这段python代码查找网页上的所有链接，分析所有的span标签，并查找class包含titletext的span的内容
#import the library used to query a website
import urllib2#specify the url you want to query
url = "http://www.python.org"#Query the website and return the html to the variable 'page'
page = urllib2.urlopen(url)#import the Beautiful soup functions to parse the data returned from the website
from BeautifulSoup import BeautifulSoup#Parse the html in the 'page' variable, and store it in Beautiful Soup format
soup = BeautifulSoup(page)#to print the soup.head is the head tag and soup.head.title is the title tag
print soup.head
print soup.head.title#to print the length of the page, use the len function
print len(page)#create a new variable to store the data you want to find.
tags = soup.findAll('a')#to print all the links
print tags#to get all titles and print the contents of each title
titles = soup.findAll('span', attrs = { 'class' : 'titletext' })
for title in allTitles:
print title.contents
希望本文所述对大家的Python程序设计有所帮助。
本文python使用BeautifulSoup分析网页信息的方法到此结束。盛夏，天热得连蜻蜓都只敢贴着树荫处飞，好像怕阳光伤了自己的翅膀。小编再次感谢大家对我们的支持！
