hentry

Parse a well designed webpage with microformats markup. If you have no knowledge about microformats, take a look at http://microformats.org/wiki/hentry.

A hentry schema looks like:

<article class="hentry">
    <h1 class="entry-title">Article title</h1>
    <time class="updated" datetime="2014-11-06T20:00:00Z" pubdate>2014-11-06</time>
    <div class="entry-content">
        <p>Here is the content</p>
    </div>
    <div class="entry-tags">
        <a href="#tag1" rel="tag">tag1</a>
        <a href="#tag2" rel="tag">tag2</a>
    </div>
    <div class="vcard author">
        <span class="fn">Author Name</span>
    </div>
</article>

With this library hentry.py, you can parse the html into meta data:

hentry.parse_html(text, format='html')

Installation

Install hentry with pip:

$ pip install hentry

Basic Usage

Parse a webpage with a url:

hentry.parse_url(url)

Parse a webpage with html content:

hentry.parse_html(content)

The result is a dict which contains:

1. title
2. content
3. author
4. pubdate
5. tags
6. categories
7. image