3 Best APIs for Current Weather in Nigeria

OpenWeatherMap is one of the world's most widely used weather APIs, offering current weather conditions, hour-by-hour and day-by-day forecasts, historical weather data, air quality indices, UV indices, and weather alerts for over 200,000 cities and any geographic coordinate worldwide. With a generous free tier and a well-documented REST API returning JSON or XML, OpenWeatherMap has become the default starting point for millions of developers building weather features into their applications — from simple current-condition widgets to complex agricultural decision support systems. Nigerian developers have relied on OpenWeatherMap for years to power weather features across diverse use cases including farming apps, logistics platforms, and event management tools. Current weather data from OpenWeatherMap is returned per city or coordinate pair and includes temperature, feels-like temperature, min/max temperatures, atmospheric pressure, humidity, visibility, wind speed and direction, cloudiness percentage, and weather condition code with text description and icon. The condition icons can be fetched from OpenWeatherMap's CDN using the icon code returned in the API response, giving Nigerian app developers an easy path to visually rich weather displays without sourcing their own icon sets. Hourly forecasting through the One Call API endpoint provides hour-by-hour weather up to 48 hours, minute-by-minute precipitation for the next hour, daily summaries for 8 days, weather alerts, and historical data for any past date. Nigerian logistics companies like courier services and ride-hailing apps can use the minute-by-minute precipitation data to warn drivers about imminent rain in the next 60 minutes — a critical feature during the heavy rainy season in Lagos, Port Harcourt, and other southern Nigerian cities where sudden downpours can disrupt operations. Geocoding through the OpenWeatherMap Geocoding API allows converting city names to geographic coordinates, making it easier to handle user input in Nigerian apps where users type city names like "Abuja", "Kano", "Enugu", or "Benin City" rather than entering latitude/longitude. The reverse geocoding function converts coordinates back to location names, useful for location-aware weather apps that determine the user's city from device GPS. Historical weather data is accessible through the One Call API with Unix timestamps, returning weather conditions for any past date at any location. Nigerian agricultural data platforms, insurance companies, and research institutions can use historical weather records to validate past growing season conditions, assess crop insurance claims, or build weather-indexed financial products tied to historical rainfall patterns. Agricultural weather data through OpenWeatherMap's Agricultural API provides soil temperature, soil moisture, and vegetation indices alongside standard weather variables — enabling Nigerian precision agriculture platforms to factor in soil conditions alongside atmospheric weather in their crop management recommendations. For Nigerian farmers in the North-West grain belt and Middle Belt mixed farming areas, soil moisture data helps guide irrigation decisions. OpenWeatherMap pricing starts with a free tier of 1,000 API calls per day, which is sufficient for development, small apps, and low-volume integrations. Paid plans scale from $40/month for higher call limits, with the One Call API billed per call beyond the free allowance. The freemium model makes OpenWeatherMap accessible for Nigerian startups who can start building and validating their weather product for free before committing to paid plans as their user base grows.

Open-Meteo is a fully free and open-source weather API that provides high-resolution global weather forecasts, historical weather data, and climate projections without requiring any API key for non-commercial use. Built on top of state-of-the-art numerical weather prediction (NWP) models from ECMWF, GFS, Meteo France, DWD, and other meteorological agencies, Open-Meteo delivers hourly and daily weather variables across the globe with up to 16-day forecast horizons and access to decades of historical weather records. For Nigerian developers building weather-dependent applications who want a zero-cost starting point, Open-Meteo is one of the most capable free weather APIs available. Forecast data from Open-Meteo covers a wide range of weather variables: temperature at 2 meters, apparent temperature (feels like), precipitation, rain, showers, snowfall (unlikely in Nigeria but globally relevant), cloud cover, wind speed and direction at multiple heights, wind gusts, surface pressure, relative humidity, dew point, visibility, shortwave solar radiation, and cape (Convective Available Potential Energy for thunderstorm prediction). For Nigerian agricultural apps, the combination of precipitation forecasts and solar radiation data is particularly valuable for irrigation scheduling and solar energy production forecasting. The API returns data in hourly or daily resolution, selectable per request. Hourly data enables fine-grained analysis of weather through the day — important for Nigerian logistics operations planning around Lagos or Abuja rush-hour weather, or for event managers checking window-by-window rain probabilities for an outdoor concert. Daily data provides simplified summaries including max/min temperature, precipitation sum, sunrise/sunset times, and UV index maximum — ideal for Nigerian travel apps showing week-ahead weather summaries. Historical weather data through Open-Meteo is available from 1940 to the present via the Historical Weather API endpoint, sourced from the ERA5 reanalysis dataset by ECMWF. Nigerian climate researchers, agricultural historians, and developers building data analytics tools for climate trend analysis can access decade-long weather records for any location in Nigeria including remote northern and southern regions without subscription costs. This historical depth rivals expensive commercial weather data providers. Marine forecasting is supported through a separate marine endpoint returning wave height, wave direction, wave period, swell height, and ocean surface temperature — relevant for Nigerian fishing communities, port operators in Lagos and Apapa, and oil and gas companies operating in the Gulf of Guinea. The marine data combined with standard atmospheric forecasts gives a complete picture of weather-related conditions for offshore and coastal Nigerian operations. Air quality forecasting from Open-Meteo includes PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide, carbon monoxide concentrations, UV index, and European and US Air Quality Index calculations. Nigerian urban health apps monitoring air quality in Lagos (which has significant vehicle and industrial air pollution) can use the air quality forecast to send pollution warnings and health advisories to users. Climate projections through the Open-Meteo Climate API provide future temperature and precipitation projections from CMIP6 climate models, allowing comparison of projected future climate against the historical baseline. Nigerian policy researchers and environmental NGOs can use these projections to model climate change impacts on Nigerian agriculture, water resources, and urban heat islands. Open-Meteo is free for non-commercial use with no API key required — just call the endpoint with latitude, longitude, and the desired weather variables. Commercial use requires a subscription which remains affordable at under $50/month for most volumes. The API is highly reliable, well-documented, and used by thousands of developers worldwide, making it a strong foundation for any Nigerian weather-aware application.

Tomorrow.io (formerly ClimaCell) is an advanced weather intelligence platform that goes beyond traditional meteorological data by incorporating artificial intelligence, proprietary sensing networks, and hyperlocal data sources to deliver more accurate, street-level weather predictions than conventional numerical weather models alone can achieve. Tomorrow.io's technology combines satellite data, radar, ground-based sensors, connected vehicle data, and IoT sensors to build a higher-resolution picture of current conditions, which feeds into AI models trained on billions of historical weather observations to improve forecast accuracy particularly at short time horizons. For Nigerian businesses where weather accuracy directly impacts operations and revenue, Tomorrow.io offers a premium alternative to standard weather APIs. Hyperlocal weather data is Tomorrow.io's core value proposition: weather conditions can vary dramatically within a single city, especially in densely built-up urban areas like Lagos Island versus Lekki, or Ikeja versus Agege. Tomorrow.io's hyperlocal precision means a logistics company routing deliveries through Lagos can get weather conditions specific to individual neighborhoods rather than a single city-wide reading, improving routing decisions during localized rain showers that may affect one area while leaving adjacent areas dry. Weather layers available through Tomorrow.io include temperature, humidity, wind, precipitation (including type: rain, drizzle, freezing rain, snow, sleet), cloud cover, visibility, pressure, UV index, pollen count, fire index, ice accumulation, and road condition indicators. The road condition indicators derived from weather data are particularly useful for Nigerian logistics and transportation apps, where road quality during heavy rainfall can degrade rapidly and route planning needs to account for impassable flooded roads. Real-time and forecast severe weather alerts from Tomorrow.io provide early warning of thunderstorms, heavy rainfall, high wind events, and other hazardous conditions with geographic precision and lead times of hours to days. Nigerian event management platforms, outdoor venue operators, and emergency management apps can subscribe to Tomorrow.io alerts to automatically send warnings to relevant user segments before dangerous weather arrives at their specific location. Historical weather data through Tomorrow.io covers multiple years and returns the same rich variable set as real-time and forecast data, enabling backtesting of weather-dependent decision models. Nigerian agricultural tech companies building machine learning models that predict crop yields based on weather patterns can train their models on Tomorrow.io historical data to capture the hyperlocal weather signals that traditional reanalysis datasets like ERA5 smooth out at coarser resolution. Air quality monitoring data from Tomorrow.io includes PM2.5, PM10, NO2, CO, and an overall air quality index alongside weather data, providing a unified environmental intelligence feed for Nigerian health and environmental monitoring apps that need both weather and air quality in a single API response. Tomorrow.io offers a free developer tier with 500 API calls per day and access to core weather endpoints — enough for prototyping and small-scale Nigerian app development. Paid plans start at $20/month for 25,000 daily calls and scale to enterprise plans for high-volume production applications. Nigerian startups can start on the free tier, validate their weather product concept, and scale to paid plans as their user base and revenue grow.