2 Best APIs for Article search in Nigeria

We've analyzed and compared the top 2 API providers supporting Article search 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 Article search

2 of 2 selected
Feature
NewsMesh
Wikipedia API
PricingFree tier with limited articles/day; paid plans for higher volumeCompletely free; Wikimedia APIs are open to all with no API key required
Nigerian news sources
Yes
No
Category filtering
Yes
No
Article search
Yes
Yes
Source filtering
Yes
No
Published date filtering
Yes
No
Page summaries
No
Yes
Full article content
No
Yes
Images
No
Yes
Multi-language
No
Yes
View Details View Details
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NewsMesh

NewsMesh

NewsMesh is a news aggregation API with a specific focus on African news sources, making it one of the few news APIs that provides meaningful coverage of Nigerian and broader African media alongside international outlets. While global news APIs like NewsAPI primarily index English-language Western publications, NewsMesh actively includes Nigerian newspapers, online magazines, and news portals in its source network, providing developers building Nigeria-focused applications with locally relevant content. The articles endpoint returns news articles with title, description, full content (where available), URL to the original source, publication date, author, source name, and category label. Filtering capabilities allow queries by keyword search, source name, category, language, and date range. For a Nigerian news aggregation app, the combination of keyword search and source filtering allows precise queries — fetching only tech news from Nigerian tech publications, or only political news from Nigerian national newspapers. Source management lets developers discover which news sources are indexed and filter content to specific outlets. A curated selection of specific trusted Nigerian sources (The Punch, Vanguard, ThisDay, Premium Times, The Cable, Nairametrics, TechCabal, etc.) produces a higher-quality, more contextually relevant feed than querying all sources simultaneously. News aggregators can build category-specific collections — Nigerian business news, Nigerian entertainment, Nigerian sports — by combining source filtering with category labels. Category-based browsing organizes articles into standard news verticals: business, technology, sports, entertainment, health, politics, and lifestyle. For Nigerian news apps that want to give users a structured browsing experience similar to a newspaper's section layout, category filtering provides the organizational backbone without requiring manual editorial categorization. Pagination and date-range filtering support building historical archives and "what happened today in Nigeria" features. Daily digest applications can query yesterday's news from Nigerian sources and compile them into curated email newsletters or push notification summaries. The focus on African coverage makes NewsMesh the most contextually appropriate news data source for Nigerian developers building locally-targeted applications. The article freshness that NewsMesh maintains is a key differentiator for real-time news applications. Articles are indexed typically within minutes of publication on source websites, ensuring that breaking Nigerian news — a CBN rate decision, a political announcement, a market-moving event — appears in NewsMesh results rapidly enough to power credible real-time news feeds. Nigerian news aggregators that want to surface breaking stories as they develop, not hours after the fact, need an API with strong freshness guarantees. Developer support and documentation from NewsMesh is geared toward the African developer market, making integrations more contextually appropriate than adapting documentation designed for Western audiences. API response payloads include regional metadata where available, allowing downstream applications to tag content by its most relevant geographic region within Nigeria — distinguishing Lagos business news from Abuja political coverage and Kano regional stories. This regional granularity enables Nigerian apps to serve personalized local news feeds based on users' city or state of residence. NewsMesh's API versioning and backward-compatible updates mean Nigerian developers can rely on their integration remaining functional without emergency migrations when the API evolves. The service maintains stable endpoint contracts while adding new capabilities.

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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.