Modern Enterprise-grade APIs for Wikipedia & more
Activate the comprehensive datasets of Wikipedia and sister projects while being supported by robust contracts, expert services, and unwavering support.
Modern APIs, Credibility Signals, Clear Licensing
Human curated content you already know & trust
Data you can Trust
Reduce risk by improving the accuracy and reliability of content served to your users. Wikimedia Enterprise has multiple tools and processes designed to help detect the introduction of inaccurate or biased information in dataset content.
Data You Can Activate
Parse and extract specific information from well-structured, well-documented services. Access multiple machine-readable data formats with globally consistent identifiers and API responses, whether you’re requesting a single article, an entire project’s snapshot, or the real-time stream.
Zero Licensing Fees
Over 99.9% of data available through Wikimedia Enterprise services is under a Creative Commons license, allowing you to put that data to work in the best way for your business. Every request has metadata clearly explaining the attached license.
What Data is included in the APIs?
Wikimedia Enterprise API Project Data
Wikipedia alone has grown into the world’s largest reference website. Our APIs make it easy to access the knowledge contained across Wikipedia, in over 360 language editions, alongside other Wikimedia Projects like Wiktionary, Wikibooks, and more.
880+
unique datasets
365M+
unique project pages
2M+
daily edits
Stability and Reliability
Reliable data delivery
Tailored Contracts & SLA
Experience the assurance of enterprise-grade contracts and SLAs that ensure reliability and trustworthiness, tailored to meet your specific business needs.
Dedicated Services & Support
Benefit from our comprehensive services including consulting, direct access to our engineers, and 24/7 support to help you maximize the value of our data.
Advanced Consulting
Leverage expert consulting to seamlessly integrate our data into your systems, enhancing your organization’s capabilities with personalized guidance.
Enhanced Data Management
Access exclusive metadata, credibility signals, and advanced tools for vandalism detection, providing you with superior data management solutions.
Latest Blog Articles
- Nomic AI’s NOMAD Projection uses Enterprise Datasets to Visually Map Multilingual WikipediaNomic AI used Wikimedia Enterprise’s Structured Contents dataset, via Hugging Face, to build the first full open-source vectorization of multilingual Wikipedia. Their work highlights how structured open data can accelerate AI research, improve model performance, and enable new forms of data visualization.
- Wikipedia Kaggle Dataset using Structured Contents SnapshotExplore Wikipedia content in a clean, structured format with our new beta dataset on Kaggle. Built from our Snapshot API using the Structured Contents beta, it’s ideal for data science, ML training, and experimentation.
Real-time access to Knowledge
Retrieve or Stream data from Wikimedia projects in any language, access metadata packaged exclusively for Wikimedia Enterprise. Detect vandalism and important updates at the article level.
Built for AI, Search, and Knowledge Graphs
Wikimedia Enterprise is used by the largest organizations on the planet to populate and refine knowledge graphs, train large language models (LLMs), inform voice assistants, and so much more.