Weather

About this API

The Weather API is a comprehensive and powerful weather data service that provides developers with access to real-time weather conditions, multi-day forecasts, and historical weather data for any location worldwide (covering over 200,000 cities). Whether you need to query weather by city name, geographic coordinates (latitude and longitude), or postal code, this API can provide a fast and accurate response. The data is sourced from global and local meteorological models, satellites, radars, and a vast network of ground weather stations, ensuring the reliability of the information. It is the ideal choice for building weather applications, travel planning tools, smart home systems, or any application that requires weather data-driven decisions.

Key Features

• Multi-dimensional Weather Data: Provides comprehensive weather parameters, including temperature, feels-like temperature, humidity, atmospheric pressure, wind speed, wind direction, weather condition description (e.g., "Clear," "Cloudy"), sunrise and sunset times, etc.
• Flexible Querying Methods: Supports various ways to query weather: by city name (with optional country code), city ID, latitude/longitude coordinates, postal code, and can even automatically determine the user's location based on their IP address and return local weather.
• Multi-time Span Forecasts: In addition to real-time weather, it also provides weather forecasts for the next several days, usually including fine-grained hourly forecasts and daily overview forecasts to meet the needs of different scenarios.
• Historical Data Query: Provides access to historical weather data, allowing developers to query the weather conditions of a past day, which is very useful for scenarios like data analysis and insurance claims.
• Multi-language and Multi-unit Support: Supports returning weather descriptions in multiple languages (such as Chinese, German, French) and supports metric (Celsius), imperial (Fahrenheit), and standard (Kelvin) units, facilitating the internationalization of applications.

Use Cases

Scenario 1: Develop a Smart Travel Planning Application

Situation: A travel app wants to help users plan their trips and provide clothing advice and activity recommendations based on the weather conditions of the destination. Implementation: After a user enters their travel destination and dates, the app backend calls the Weather API to query the daily weather forecast for that city during the travel period. The app displays the forecast data (such as max/min temperature, weather condition "sunny" or "rainy") intuitively on the itinerary. At the same time, based on this data, the app can intelligently generate packing list suggestions, such as "Rain is expected at the destination, please remember to bring an umbrella" or "The temperature is low, it is recommended to bring a thick coat," which greatly improves the user experience.

Scenario 2: Provide Automated Control Logic for a Smart Home System

Situation: A smart home platform needs to automatically adjust the devices in the home based on external weather changes. Implementation: The smart home's central controller (Hub) regularly calls the Weather API to get the local real-time weather and the weather forecast for the next few hours. Based on the returned data, the system can perform automated operations: for example, if strong winds are forecasted (wind_speed is high), the system can automatically close the windows; if it detects high outdoor humidity (humidity), the system can automatically turn on the dehumidifier; if rain is forecasted, the system will remind the user to bring in the laundry. This automation greatly improves the comfort and convenience of home life.

Scenario 3: Conduct Weather-driven Precision Marketing in the Retail or Catering Industry

Situation: A chain coffee shop wants to push different product promotion information to its app users based on the weather conditions. Implementation: The coffee shop's marketing automation system is integrated with this API. The system gets the weather forecast for the cities where its main stores are located every day. If a hot sunny day is forecasted (e.g., temperature over 30°C), the system will automatically push a "Cool Summer! Buy one get one free on Iced Latte" notification to users in that city. If a cold rainy day is forecasted, it will push a "Warm special for rainy days, second cup of hot mocha at half price" offer. This weather-based precision marketing can more effectively touch on consumers' immediate needs and increase the conversion rate of promotional activities.

How it Works: Endpoints & Response

This API provides multiple endpoints to meet different query needs, such as querying by city name, by coordinates, or by IP address for automatic location.

Endpoint Example: https://hub.juheapi.com/weather/v1/ip (This is for IP location query)

The JSON object of the response contains rich and intuitive data. The name field indicates the city name. weather and weather_description provide concise and detailed descriptions of the weather conditions. temp, humidity, pressure, etc., directly give the core meteorological readings. The coord object provides the latitude and longitude of the location, which can be used for further display on a map. wind_speed and wind_deg describe the wind information in detail. This comprehensive data structure provides developers with all the elements needed to build various weather-related functions.