Finding structures from web articles with Python
<p>I'm looking for some Python tool, that can help me determine content structures from an article website such as <a href="http://www.bbc.co.uk/" rel="nofollow">http://www.bbc.co.uk/</a>. I used boilerplate removal library - Boilerpipe to clean the web page from unwanted stuff (banners, links, pictures, etc). 
Now when I have only relevant content, I want to automatically determine what string is title, author, date, date of article updating, what is the article itself. Problem is, I am not only going to use it for transparent article pages, that has most of those information in HTML tags such as <code>&lt;title&gt;Title&lt;/title&gt;</code>. I'd like to be able to determine it from tags like <code>&lt;div&gt;28.11.2011&lt;p&gt;John Cusack on Syria conflict&lt;/div&gt;</code>.
Is there any tool that can help me with that?</p>
