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.
Installation
pip install metadata_parser
Features
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 )
Notes
This requires BeautifulSoup 3 or 4. If it can import bs4 it does, otherwise it tries BeautifulSoup (3)
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’]
Usage
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')
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