How to install opml
- Download and install ActivePython
- Open Command Prompt
- Type
pypm install opml
Lastest release
2008, Nathan R. Yergler, Creative Commons; licensed to the public under the MIT license.
Contents
opml provides simple support for reading OPML files. OPML is an XML-based format for describing outlines and is often used as an interchange format for subscription lists. This package is intended as a light-weight, permissive parser. It does very little validation of the incoming OPML.
Installation
The Python OPML package and its dependencies may be installed using easy_install (recommended)
$ easy_install opml
or by using the standard distutils setup.py:
$ python setup.py install
If installing using setup.py, lxml will also need to be installed. easy_install will manage this for you.
Usage
This document is intended to provide a set of literate tests for the opml package; it is not intended to provide thorough coverage of the OPML specification or semantics. See the OPML 2 Specification for details on OPML.
opml can parse OPML from a URI or from a local string. For example, to parse an example from the OPML validator:
>>> import opml >>> outline = opml.parse( ... 'http://hosting.opml.org/dave/validatorTests/clean/subscriptionList.opml')
Elements in the OPML header can be accessed as attributes:
>>> outline.title 'mySubscriptions.opml' >>> outline.ownerName 'Dave Winer' >>> outline.ownerEmail 'dave@scripting.com'
Items in an OPML outline are stored in <outline> elements; these are accessible via the standard Python sequence operators:
>>> len(outline) 13 >>> outline[0] <opml.OutlineElement object at ...>
An OutlineElement object exposes the attributes associated with the element as properties:
>>> outline[0].text 'CNET News.com' >>> outline[0].type 'rss'
outline elements may contain other outline elements:
>>> len(outline[0]) 0
When parsing a feed with nested items, the sub-items are accessible using the standard Python sequence operators:
>>> nested = \ ... opml.parse('http://hosting.opml.org/dave/spec/placesLived.opml') >>> len(nested[0]) 6 >>> nested[0][0].text 'Boston' >>> len(nested[0][0]) 2 >>> nested[0][0][0].text 'Cambridge'