There is a great deal of publicly-available, open-licensed data about Wikimedia projects. This page is intended to help community members, developers, and researchers who are interested in analyzing raw data learn what data and infrastructure is available.
If you have any questions, you might find the answer in the Frequently Asked Questions about Data. If you still have questions, you can email your question to the Analytics mailing list (more information).
If you wish to browse pre-computed metrics and dashboards, see statistics.
If this publicly available data isn't sufficient, you can look at the page on private data access to see what non-public data exists and how you can gain access.
If you wish to donate or document any additional data sources, you can use the Wikimedia organization on DataHub.
See also inspirational example uses.
WMF releases data dumps of Wikipedia, Wikidata, and all WMF projects on a regular basis, as well as dumps of other Wikimedia-related data such as search indices and short URL mappings.
- Text of current and/or all revisions of all pages, in XML format (schema)
- Metadata for current and/or all revisions of all pages, in XML format (schema)
- Most database tables as sql files
- Page-to-page link lists (pagelinks, categorylinks, imagelinks, templatelinks tables)
- Lists of pages with links outside of the project (externallinks, iwlinks, langlinks tables)
- Media metadata (image, oldimage tables)
- Info about each page (page, page_props, page_restrictions tables)
- Titles of all pages in the main namespace, i.e. all articles (*-all-titles-in-ns0.gz)
- List of all pages that are redirects and their targets (redirect table)
- Log data, including blocks, protection, deletion, uploads (logging table)
- Misc bits (interwiki, site_stats, user_groups tables)
- Stub-prefixed dumps for some projects which only have header info for pages and revisions without actual content
- Static HTML dumps for 2007-2008 
- adds/changes dumps (no moves or deletes + some other limitations)  (docs)
- wikidata entity dumps 
- full list of what's available: 
Current mirrors offer an alternative to the download page.
Due to large file sizes, using a download tool is recommended.
SQL dumps are provided as dumps of entire tables, using mysqldump.
Some older dumps exist in various formats.
How to and examples
Available tools are listed in the following locations, but information is not always up-to-date:
All text content is multi-licensed under the Creative Commons Attribution-ShareAlike 3.0 License (CC-BY-SA) and the GNU Free Documentation License (GFDL). Images and other files are available under different terms, as detailed on their description pages.
- Maintainer: Ariel Glenn
- Mailing list: xmldatadumps-l
- Bug reports: Dumps Generation project in Phabricator
- Design work on Dumps 2.0 replacement: Dumps Rewrite project in Phabricator
Research projects using data from this source
- "A Breakdown of Quality Flaws in Wikipedia" examines cleanup tags on the English Wikipedia using a January 2011 dump
- "There is No Deadline – Time Evolution of Wikipedia Discussions" looks at the time evolution of Wikipedia discussions, and how it correlates to editing activity, based on 9.4 million comments from the March 12, 2010 dump
- "Understanding collaboration in Wikipedia" mines a complete dump of the English Wikipedia (225 million article edits) for insights into open collaboration
- "Dynamics of Conflicts in Wikipedia" takes the revision history from the dump to extract the reverts based on the text comparison to study the dynamics of editorial wars in multiple language editions
The MediaWiki API provides direct, high-level access to the data contained in MediaWiki databases. Client programs can log in to a wiki, get data, and post changes automatically by making HTTP requests.
- Meta information about the wiki and the logged-in user
- Properties of pages, including page revisions and content, external links, categories, templates,etc.
- Lists of pages that match certain criteria
To query the database you send a HTTP GET request to the desired endpoint (example http://en.wikipedia.org/w/api.php for English Wikipedia) setting the action parameter to "query" and defining the query details the URL.
How to and examples
Here's a simple example:
This means fetch (action=query) the content (rvprop=content) of the most recent revision of Main Page (titles=Main%20Page) of English Wikipedia (http://en.wikipedia.org/w/api.php?) in XML format (format=xml). You can paste the URL in a browser to see the output.
Also see :
To try out the API interactively on English Wikipedia, use the API Sandbox.
To use the API, your application or client might need to log in.
Before you start, learn about the API etiquette.
Researchers could be given Special access rights on case-to-case bases.
All text content is multi-licensed under the Creative Commons Attribution-ShareAlike 3.0 License (CC-BY-SA) and the GNU Free Documentation License (GFDL).
Toolforge and PAWS
Toolforge hosts command line or web-based tools, which can query copies of the database. Copies are generally real-time but sometimes replication lag occurs.
Toolforge hosts copies of the databases of all Wikimedia projects including Commons. You are allowed use the contents of the database as long as you don't violate the rules.
Learn more about the current database schema.
Using Toolforge requires familiarity with Unix/Linux command line, SSL keys, SQL/databases, and some programming.
To start using the Toolforge, see this Quickstart guide.
Projects using Toolforge / Toolserver data
(In 2014 Toolforge replaced the "Toolserver" server cluster managed by WMDE.)
On the old toolserver:
- "Circadian patterns of Wikipedia editorial activity: A demographic analysis" analyzed "34 Wikipedias in different languages [trying] to characterize and find the universalities and differences in temporal activity patterns of editors", with the underlying data provided by the German Wikimedia chapter from the toolserver.
- "Feeling the Pulse of a Wiki: Visualization of Recent Changes in Wikipedia" describes a tool hosted on Toolserver providing Recent Changes visualization to aid admins
Recent changes stream
See wikitech:EventStreams to subscribe to Recent changes to all Wikimedia wikis. This broadcasts edits and other changes as they happen; confirmation that an edit has completed is typically faster over this than through the browser.
Old IRC recent changes feed
- Changes shown automatically as they happen.
- Feeds for each wiki in a separate channel.
- Filtered feeds available with cloak
Data and format
Each wiki edit is reflected in the wiki's IRC channel. Displayed URLs give the cumulative differences produced by the edit concerned and any subsequent edits. The time is not listed but timestamping may be provided by your IRC-client.
The format of each edit summary is :
[page_title] [URL_of_the_revision] * [user] * [size_of_the_edit] [edit_summary]
You can see some examples below:
<rc-pmtpa> Talk:Duke of York's Picture House, Brighton http://en.wikipedia.org/w/index.php?diff=542604907&oldid=498947324 *Fortdj33* (-14) Updated classification
<rc-pmtpa> Bloody Sunday (1887) http://en.wikipedia.org/w/index.php?diff=542604908&oldid=542604828 *0318.104.22.168* (-2371) /* Aftermath */
IRC feeds are hosted on the irc.wikimedia.org server.
- wm-bot lets you get IRC feeds filtered according to your needs. You can define a list of pages and get notifications of revisions on those pages only.
- WikiStream uses IRC feeds to illustrate the amount of activity happening on Wikimedia projects.
- wikimon is a WebSocket-oriented monitor for the IRC feeds
Anyone can access IRC feeds. However, you need a wm-bot.
- Detail about each dump is listed on the home page: https://dumps.wikimedia.org/other/analytics/
- Additional detail about these dumps and other Analytics data: https://wikitech.wikimedia.org/wiki/Analytics/Data/Pageviews
Each request of a page reaches one of Wikimedia's varnish caching hosts. The project name and the title of the page requested are logged and aggregated hourly. New higher quality data filtered of spiders available since May 2015. Deprecated pagecounts-raw has English statistics since 2007 and non-English since 2008. And pagecounts-complete stitches the best available data at all times.
Files starting with "project" contain total hits per project per hour statistics. A separate set with repaired counts is maintained as well (several cases of multi-month underreporting could be fixed from secondary sources)
Note: These are not unique hits and changed titles/moves are counted separately.
See the README for up-to-date details on the format. For data since 2015, however, the format is:
[Project] [Article_name] [Page_id] [agent] [Daily total] [Hourly counts from 0 to 23, written as 0 = A, 1 = B ... 22 = W, 23 = X]
ab.wikipedia Абиблиа 4651 desktop 2 K1R1 means that the Abkhazian Wikipedia article for ab:Абиблиа was viewed twice, once in the 10th hour and once in the 17th hour (UTC time).
You can interactively browse the page view statistics at: https://pageviews.toolforge.org
More details on Pageviews Analysis tool can be found in its documentation.
Research projects using data from this source
- Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data combines the page view statistics for articles on movies from the raw page view dumps with the editorial activity data from the toolserver database to predict the financial success of movies
- Wikipedia-Zugriffszahlen bestätigen Second-Screen-Trend (in German) studies how the TV schedule influences Wikipedia pageviews
- More examples
Also see: mw:Analytics/Wikistats
Wikistats is an informal but widely recognized name for a set of reports which provide monthly trend information for all Wikimedia projects and wikis.
Many dashboards that display trends about reading, contributing, and content broken down by different projects such as:
- unique visitors
- page views (overall and mobile only)
- editor activity
- article count
Data is presented as charts with the option to download the underlying data.
For more details on Wikistats, see the documentation
DBpedia.org is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
English version of the DBpedia knowledge base
- describes 3.77 million things
- 2.35 million are classified in a consistent Ontology(persons, places, creative works like music albums, films and video games, organizations like companies and educational institutions, species, diseases, etc.
Localized versions of DBpedia in 111 language
- together describe 20.8 million things, out of which 10.5 million overlap (are interlinked) with concepts from the English DBpedia
The data set also features:
- about 2 billion pieces of information (RDF triples)
- labels and abstracts for >10 million unique things in up to 111 different languages
- millions of
- links to images
- links to external web pages
- data links into external RDF data sets
- links to Wikipedia categories
- YAGO categories
- SPARQL endpoint
https://www.dbpedia.org/resources/ has download links for all the data sets, different formats and languages.
http://dbpedia.org/sparql - DBpedia's SPARQL endpoint
DBpedia data from version 3.4 on is licensed under the terms of the Creative Commons Attribution-ShareAlike 3.0 License and the GNU Free Documentation License.
Research projects using data from this source
- "Biographical Social Networks on Wikipedia - A cross-cultural study of links that made history" uses data extracted from DBpedia to study how biographies on Wikipedia vary depending on language/culture.
- See more DBpedia related publications, blog posts and projects here.
The DataHub repository is meant to become the place where all Wikimedia-related data sources are documented. The collection is open to contributions and researchers are encouraged to donate relevant datasets.
The Wikimedia group on DataHub points to some additional data sources not listed on this page. Some examples are:
- dbpedia lite, which uses the API to extract structured data from Wikipedia (not affiliated with DBpedia))
- EPIC/Oxford quality assessment of Wikipedia by experts (2012)
- Wikipedia Editor Engagement Experiments: Timestamp position modification (2013)
- Hotels/restaurants/attractions data as CSV/OSM/OBF
- Tourism guide for offline use