1 Best APIs for Page summaries in Nigeria

We've analyzed and compared the top 1 API providers supporting Page summaries for Nigerian developers and businesses. Find the right infrastructure fit for your startup below.

Written by Editorial Staffs as at 22nd June, 2026

All APIs with Page summaries

1 of 1 selected
Feature
Wikipedia API
PricingCompletely free; Wikimedia APIs are open to all with no API key required
Article search
Yes
Page summaries
Yes
Full article content
Yes
Images
Yes
Multi-language
Yes
View Details
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Wikipedia API

Wikipedia API

Wikipedia API (Wikimedia REST API) provides free programmatic access to Wikipedia's encyclopedic content in over 300 language editions, enabling applications to retrieve article summaries, full page content, search results, and associated media. Wikipedia is the world's largest freely available knowledge base, with over 60 million articles across all languages, and its API makes this knowledge programmatically accessible without authentication, rate fees, or usage restrictions beyond reasonable use. The Summary endpoint is the most commonly used for application integration. Given a Wikipedia article title, it returns a concise summary (typically the lead section of the article), a description, a thumbnail image with URL and dimensions, and coordinates (for geographic articles). This compact response is ideal for rich preview cards, entity information panels, and knowledge boxes. Nigerian apps that display information about Nigerian cities, prominent individuals, companies, or historical events can enrich those profiles with Wikipedia summary data without building their own knowledge database. The Mobile HTML endpoint returns a formatted, mobile-optimized HTML rendering of the full article content, suitable for embedding in an in-app browser view. This provides the full encyclopedic depth of Wikipedia with clean, readable formatting appropriate for mobile devices. Nigerian educational apps can provide deep-dive access to topic articles without maintaining their own content — students who want to learn more about a subject can read the full Wikipedia article without leaving the app. Search functionality uses Wikimedia's Open Search and full-text search APIs to find relevant articles by keyword. The open search returns article title suggestions for autocomplete interfaces, while full-text search returns ranked articles matching the query terms. Nigerian knowledge apps, chatbots, and information tools can implement "look up on Wikipedia" features with a two-step flow: suggest matching articles as the user types, then load the selected article's summary or full content. Wikipedia editions in Yoruba (yo.wikipedia.org), Hausa (ha.wikipedia.org), and Igbo (ig.wikipedia.org) provide Nigerian-language encyclopedic content, though with smaller article counts than the English edition. The Wikimedia API works identically across all language editions — changing the language subdomain accesses that edition's content in the same format. The Wikipedia API's geosearch endpoint is a powerful location-aware feature that returns Wikipedia articles associated with geographic coordinates. Given a latitude and longitude, it returns nearby articles within a specified radius, ordered by proximity. Nigerian apps with map components can show Wikipedia article markers for nearby points of interest — historical landmarks, natural features, government buildings, and notable locations — giving users contextual knowledge about their physical surroundings. Nigerian tourism apps and city guide applications can use geosearch to populate information panels about sites as users navigate, creating an informative and educational exploration experience without building a custom knowledge database. The Wikipedia API's revision history endpoint provides access to edit logs for any article, including the timestamp, editor username, edit size, and edit summary for each revision. For Nigerian fact-checking and journalism tools, revision history data reveals when article content was last changed and by whom, providing context for assessing the currency and editorial stability of Wikipedia content used as a reference source.