解析简单的XML数据

可以使用 xml.etree.ElementTree 模块从简单的XML文档中提取数据。 为了演示，假设你想解析Planet Python上的RSS源。下面是相应的代码：

from urllib.request import urlopen
from xml.etree.ElementTree import parse

# Download the RSS feed and parse it
u = urlopen('http://planet.python.org/rss20.xml')
doc = parse(u)

# Extract and output tags of interest
for item in doc.iterfind('channel/item'):
    title = item.findtext('title')
    date = item.findtext('pubDate')
    link = item.findtext('link')

    print(title)
    print(date)
    print(link)
    print()
运行上面的代码，输出结果类似这样：

Steve Holden: Python for Data Analysis
Mon, 19 Nov 2012 02:13:51 +0000
http://holdenweb.blogspot.com/2012/11/python-for-data-analysis.html

Vasudev Ram: The Python Data model (for v2 and v3)
Sun, 18 Nov 2012 22:06:47 +0000
http://jugad2.blogspot.com/2012/11/the-python-data-model.html

Python Diary: Been playing around with Object Databases
Sun, 18 Nov 2012 20:40:29 +0000
http://www.pythondiary.com/blog/Nov.18,2012/been-...-object-databases.html

Vasudev Ram: Wakari, Scientific Python in the cloud
Sun, 18 Nov 2012 20:19:41 +0000
http://jugad2.blogspot.com/2012/11/wakari-scientific-python-in-cloud.html

Jesse Jiryu Davis: Toro: synchronization primitives for Tornado coroutines
Sun, 18 Nov 2012 20:17:49 +0000
http://feedproxy.google.com/~r/EmptysquarePython/~3/_DOZT2Kd0hQ/
很显然，如果你想做进一步的处理，你需要替换 print() 语句来完成其他有趣的事。