MetadataParser is a python module for pulling metadata out of web documents.

It requires BeautifulSoup , and was largely based on Erik River's opengraph module ( https://github.com/erikriver/opengraph ).

I needed something more aggressive than Erik's module , so had to fork.

pip install metadata_parser

• it pulls as much metadata out of a document as possible
• you can set a 'strategy' for finding metadata ( ie, only accept opengraph or page attributes )

1. This requires BeautifulSoup 3 or 4. If it can import bs4 it does, otherwise it tries BeautifulSoup (3)
2. For speed, it will instantiate a BeautifulSoup parser with lxml , and fall back to 'none' (the internal pure python) if it can't load lxml

The default 'strategy' is to look in this order:

og,dc,meta,page og = OpenGraph dc = DublinCore meta = metadata page = page elements

You can specify a strategy as a comma-separated list of the above.

The only 2 page elements currently supported are:

<title>VALUE</title> -> metadata['page']['title'] <link rel="canonical" href="VALUE"> -> metadata['page']['link']

From an URL

>>> import metadata_parser >>> page = metadata_parser.MetadataParser(url="http://www.cnn.com") >>> print page.metadata >>> print page.get_field('title') >>> print page.get_field('title',strategy='og') >>> print page.get_field('title',strategy='page,og,dc')

From HTML

>>> HTML = """<here>""" >>> page = metadata_parser.MetadataParser(html=HTML) >>> print page.metadata >>> print page.get_field('title') >>> print page.get_field('title',strategy='og') >>> print page.get_field('title',strategy='page,og,dc')