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nlpia2-wikipedia

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    nlpia2-wikipedia

Updated version of `wikipedia` package because original repo has been abandoned since 2014.


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1

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Wikipedia

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NLPiA2-Wikipedia Thin Python wrapper for Wikipedia API

Search Wikipedia, get article summaries, get data like links and images from a page, and more. Wikipedia wraps the MediaWiki API so you can focus on using Wikipedia data, not getting it.

>>> from wikipedia import wikipedia as wiki
>>> print wiki.summary("Wikipedia")
Wikipedia (/ˌwɪkɨˈpiːdiə/ or /ˌwɪkiˈpiːdiə/ WIK-i-PEE-dee-ə) is a collaboratively edited, multilingual, free Internet encyclopedia supported by the non-profit Wikimedia Foundation...

>>> wiki.search("Barack")
['Barak (given name)', 'Barack Obama', ... 'Presidential transition of Barack Obama']
>>> titles = wiki.search("New York")
>>> page = wiki.page(titles[1])
>>> page.title
'New York (State)'
>>> page.url
'http://en.wikipedia.org/wiki/New_York_(state)'
>>> page.content
'New York, sometimes called New York State...'
>>> page.summary
'New York, sometimes called New York State...'
>>> page.links[0]
'10 Hudson Yards'

>>> wiki.set_lang("fr")
>>> wiki.summary("Facebook", sentences=1)
Facebook est un service de réseautage social en ligne sur Internet permettant d'y publier des informations (photographies, liens, textes, etc.) en contrôlant leur visibilité par différentes catégories de personnes.

(or one of the other more advanced Python MediaWiki API wrappers), which has a larger API, rate limiting, and other features so we can be considerate of the MediaWiki infrastructure.

Installation

To install Wikipedia, simply run:

$ pip install nlpia2-wikipedia

Wikipedia is compatible with Python 2.6+ (2.7+ to run unittest discover) and Python 3.3+.

Documentation

Read the docs at https://wikipedia.readthedocs.org/en/latest/.

To run tests, clone the repository on GitHub, then run:

$ pip install -r requirements.txt
$ bash runtests  # will run tests for python and python3
$ python -m unittest discover tests/ '*test.py'  # manual style

in the root project directory.

To build the documentation yourself, after installing requirements.txt, run:

$ pip install sphinx
$ cd docs/
$ make html

License

MIT licensed. See the LICENSE file for full details.

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