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copied!<p>That is an <a href="http://en.wikipedia.org/wiki/Atom_(standard)" rel="nofollow noreferrer">Atom feed</a>; use <a href="http://pythonhosted.org/feedparser/" rel="nofollow noreferrer">feedparser</a> to parse that file into individual articles.</p> <pre><code>import feedparser d = feedparser.parse('/path/to/your/xmlfile.xml') for entry in d.entries: print entry.title </code></pre> <p>This prints:</p> <pre><code>模板: R 为此博客设置的发布类型。此博客管理员的电子邮件列表。此博客是否包含成人内容是否允许使用备用的 JS 渲染博客的 Google Analytics（分析）帐号存档索引日期格式的编号此博客的存档频率应该为多少有权进行发布的作者的电子邮件列表。是否在博客中显示评论反向链接是否为每个帖子提供存档页哪些人能发表评论是否要求评论者完成 Captcha 用于接收新评论通知的电子邮件地址列表为博客评论所提供的 Feed 类型博客评论表位置博客评论消息是否启用评论审阅新评论进行审阅的天数用于接收需要审阅新评论的通知的电子邮件地址 </code></pre> <p>etc.</p> <p>You can see what items each entry defines by looking at the result of the <code>.keys()</code> method:</p> <pre><code>>>> d.entries[0].keys() ['updated', u'gd_image', 'updated_parsed', 'published_parsed', 'tags', 'title', 'links', 'summary', 'content', 'guidislink', 'title_detail', 'link', 'author', 'published', 'authors', 'author_detail', 'id'] </code></pre> <p>If you want to convert your HTML content to text, there are a few options. Most are listed in: <a href="https://stackoverflow.com/questions/328356/extracting-text-from-html-file-using-python">Extracting text from HTML file using Python</a></p>

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