Skip to main content

Wikimedia API for Python

Project description

https://travis-ci.org/goldsmith/Wikipedia.png?branch=master https://pypip.in/d/wikipedia/badge.png https://pypip.in/v/wikipedia/badge.png License

Wikipedia is a Python library that makes it easy to access and parse data from Wikipedia.

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.

>>> import wikipedia
>>> print wikipedia.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...

>>> wikipedia.search("Barack")
# [u'Barak (given name)', u'Barack Obama', u'Barack (brandy)', u'Presidency of Barack Obama', u'Family of Barack Obama', u'First inauguration of Barack Obama', u'Barack Obama presidential campaign, 2008', u'Barack Obama, Sr.', u'Barack Obama citizenship conspiracy theories', u'Presidential transition of Barack Obama']

>>> ny = wikipedia.page("New York")
>>> ny.title
# u'New York'
>>> ny.url
# u'http://en.wikipedia.org/wiki/New_York'
>>> ny.content
# u'New York is a state in the Northeastern region of the United States. New York is the 27th-most exten'...
>>> ny.links[0]
# u'1790 United States Census'

>>> wikipedia.set_lang("fr")
>>> wikipedia.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.

Note: this library was designed for ease of use and simplicity, not for advanced use. If you plan on doing serious scraping or automated requests, please use Pywikipediabot (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 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.

Credits

  • wiki-api by @richardasaurus for inspiration

  • @nmoroze and @themichaelyang for feedback and suggestions

  • The Wikimedia Foundation for giving the world free access to data

Bitdeli badge

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tc-wikipedia-lib-1.0.0.tar.gz (11.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tc_wikipedia_lib-1.0.0-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file tc-wikipedia-lib-1.0.0.tar.gz.

File metadata

  • Download URL: tc-wikipedia-lib-1.0.0.tar.gz
  • Upload date:
  • Size: 11.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.6

File hashes

Hashes for tc-wikipedia-lib-1.0.0.tar.gz
Algorithm Hash digest
SHA256 6f51777beefefd0b3571462008c30a6616ef6aede199591d8e7ee8a50cd07436
MD5 c0fe0c1e1977f4c24490c020bc215335
BLAKE2b-256 5815e7682fe9229822fd07a935b59d1fdeee8624e66bc4dfc232d5c14bc22e9d

See more details on using hashes here.

File details

Details for the file tc_wikipedia_lib-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for tc_wikipedia_lib-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c20a3310fb4c81f7fc7470bb00cb4b2b9dc33ba2e29f0185eb78a51f8e7a6d90
MD5 d508027eb6ffd94f5c53e860de200d48
BLAKE2b-256 8ed8cba34745f97eddbf66fe003408760567703c9cec3af244e3c7380dd37e56

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page