Clima por Ubicación. API

La API de Clima por Ubicación proporciona predicciones meteorológicas precisas adaptadas a ubicaciones específicas, atendiendo a una amplia gama de aplicaciones e industrias.

Acerca de la API:  

La API del Clima por Ubicación es una herramienta versátil y poderosa que proporciona información meteorológica y pronósticos altamente precisos y específicos para cada ubicación. Con un fuerte compromiso con la precisión y la fiabilidad, esta API aborda un amplio espectro de aplicaciones e industrias, convirtiéndola en un recurso indispensable para aquellos que necesitan información meteorológica en tiempo real ajustada a coordenadas geográficas específicas.

En esencia, esta API funciona con un principio simple: permite a los usuarios acceder a datos meteorológicos completos especificando coordenadas de latitud y longitud. Este enfoque centrado geográficamente asegura que los datos recuperados se refieren directamente al área designada, permitiendo a los usuarios tomar decisiones y planes bien fundamentados basados en las condiciones climáticas locales.

La API del Clima por Ubicación se integra perfectamente en diversas aplicaciones, proporcionando una experiencia fluida y acceso optimizado a los datos meteorológicos.

Al facilitar la integración fluida de datos meteorológicos en aplicaciones y sitios web, esta API proporciona a los usuarios los medios para ofrecer a su audiencia actualizaciones meteorológicas en tiempo real y hiperlocalizadas. Ya sea que los usuarios estén planificando un viaje, organizando actividades al aire libre o simplemente verificando el pronóstico para su desplazamiento diario, pueden confiar en pronósticos precisos adaptados a su ubicación exacta.

 

¿Qué recibe esta API y qué proporciona su API (entrada/salida)?

Recibirá parámetros y le proporcionará un JSON.

 

¿Cuáles son los casos de uso más comunes de esta API?

  1. Aplicaciones del clima: Desarrollar aplicaciones y sitios web meteorológicos que proporcionen a los usuarios pronósticos y condiciones climáticas actualizadas y específicas de su ubicación.

  2. Agricultura: Ayudar a los agricultores a optimizar sus estrategias de gestión de cultivos proporcionando datos meteorológicos para sus campos específicos, asistiendo en decisiones relacionadas con la siembra, riego y cosecha.

  3. Transporte y logística: Integrar información meteorológica en sistemas de transporte y logística para mejorar la planificación de rutas, la seguridad de los vehículos y los tiempos de entrega, especialmente en condiciones climáticas adversas.

  4. Gestión energética: Optimizar la generación y distribución de energía controlando las condiciones meteorológicas, como la velocidad del viento y la radiación solar, para aumentar la eficiencia energética.

  5. Planificación de eventos al aire libre: Los organizadores de eventos pueden utilizar la API para tomar decisiones informadas sobre la programación de eventos al aire libre, como bodas, partidos deportivos y conciertos, basándose en pronósticos meteorológicos.

¿Existen limitaciones en sus planes?

Además del número de llamadas a la API, no hay ninguna otra limitación.

Documentación de la API

Endpoints


Para usar este endpoint, debes indicar una latitud y una longitud. También puedes indicar la unidad de medida (estándar, métrica, imperial).



                                                                            
GET https://zylalabs.com/api/4026/weather+by+location+api/4812/forecast
                                                                            
                                                                        

Pronóstico - Características del Endpoint

Objeto Descripción
lat [Requerido]
lon [Requerido]
units [Requerido]
Probar Endpoint

RESPUESTA DE EJEMPLO DE LA API

       
                                                                                                        
                                                                                                                                                                                                                            {"lat":55.84,"lon":36.62,"timezone":"Europe\/Moscow","timezone_offset":10800,"current":{"dt":1724613477,"sunrise":1724552710,"sunset":1724604383,"temp":21.07,"feels_like":21.37,"pressure":1020,"humidity":82,"dew_point":17.88,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.95,"wind_deg":219,"wind_gust":1,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}]},"minutely":[{"dt":1724613480,"precipitation":0},{"dt":1724613540,"precipitation":0},{"dt":1724613600,"precipitation":0},{"dt":1724613660,"precipitation":0},{"dt":1724613720,"precipitation":0},{"dt":1724613780,"precipitation":0},{"dt":1724613840,"precipitation":0},{"dt":1724613900,"precipitation":0},{"dt":1724613960,"precipitation":0},{"dt":1724614020,"precipitation":0},{"dt":1724614080,"precipitation":0},{"dt":1724614140,"precipitation":0},{"dt":1724614200,"precipitation":0},{"dt":1724614260,"precipitation":0},{"dt":1724614320,"precipitation":0},{"dt":1724614380,"precipitation":0},{"dt":1724614440,"precipitation":0},{"dt":1724614500,"precipitation":0},{"dt":1724614560,"precipitation":0},{"dt":1724614620,"precipitation":0},{"dt":1724614680,"precipitation":0},{"dt":1724614740,"precipitation":0},{"dt":1724614800,"precipitation":0},{"dt":1724614860,"precipitation":0},{"dt":1724614920,"precipitation":0},{"dt":1724614980,"precipitation":0},{"dt":1724615040,"precipitation":0},{"dt":1724615100,"precipitation":0},{"dt":1724615160,"precipitation":0},{"dt":1724615220,"precipitation":0},{"dt":1724615280,"precipitation":0},{"dt":1724615340,"precipitation":0},{"dt":1724615400,"precipitation":0},{"dt":1724615460,"precipitation":0},{"dt":1724615520,"precipitation":0},{"dt":1724615580,"precipitation":0},{"dt":1724615640,"precipitation":0},{"dt":1724615700,"precipitation":0},{"dt":1724615760,"precipitation":0},{"dt":1724615820,"precipitation":0},{"dt":1724615880,"precipitation":0},{"dt":1724615940,"precipitation":0},{"dt":1724616000,"precipitation":0},{"dt":1724616060,"precipitation":0},{"dt":1724616120,"precipitation":0},{"dt":1724616180,"precipitation":0},{"dt":1724616240,"precipitation":0},{"dt":1724616300,"precipitation":0},{"dt":1724616360,"precipitation":0},{"dt":1724616420,"precipitation":0},{"dt":1724616480,"precipitation":0},{"dt":1724616540,"precipitation":0},{"dt":1724616600,"precipitation":0},{"dt":1724616660,"precipitation":0},{"dt":1724616720,"precipitation":0},{"dt":1724616780,"precipitation":0},{"dt":1724616840,"precipitation":0},{"dt":1724616900,"precipitation":0},{"dt":1724616960,"precipitation":0},{"dt":1724617020,"precipitation":0}],"hourly":[{"dt":1724612400,"temp":21.07,"feels_like":21.37,"pressure":1020,"humidity":82,"dew_point":17.88,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.95,"wind_deg":219,"wind_gust":1,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724616000,"temp":20.41,"feels_like":20.67,"pressure":1020,"humidity":83,"dew_point":17.43,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.01,"wind_deg":210,"wind_gust":1.04,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724619600,"temp":19.58,"feels_like":19.79,"pressure":1020,"humidity":84,"dew_point":16.8,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.94,"wind_deg":218,"wind_gust":0.98,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724623200,"temp":18.62,"feels_like":18.78,"pressure":1020,"humidity":86,"dew_point":16.23,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.96,"wind_deg":243,"wind_gust":0.96,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724626800,"temp":17.59,"feels_like":17.73,"pressure":1020,"humidity":89,"dew_point":15.76,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.03,"wind_deg":234,"wind_gust":1.03,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724630400,"temp":16.51,"feels_like":16.59,"pressure":1020,"humidity":91,"dew_point":15,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.29,"wind_deg":251,"wind_gust":1.27,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724634000,"temp":16.19,"feels_like":16.27,"pressure":1020,"humidity":92,"dew_point":14.93,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.27,"wind_deg":249,"wind_gust":1.24,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724637600,"temp":15.95,"feels_like":16.03,"pressure":1020,"humidity":93,"dew_point":14.78,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.16,"wind_deg":235,"wind_gust":1.16,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724641200,"temp":16.01,"feels_like":16.04,"pressure":1021,"humidity":91,"dew_point":14.57,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":1.23,"wind_deg":224,"wind_gust":1.23,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724644800,"temp":17.77,"feels_like":17.8,"pressure":1021,"humidity":84,"dew_point":14.97,"uvi":0.35,"clouds":0,"visibility":10000,"wind_speed":1.35,"wind_deg":211,"wind_gust":2.05,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724648400,"temp":20.1,"feels_like":20.02,"pressure":1021,"humidity":71,"dew_point":14.76,"uvi":0.96,"clouds":0,"visibility":10000,"wind_speed":1.42,"wind_deg":213,"wind_gust":2.26,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724652000,"temp":22.34,"feels_like":22.25,"pressure":1021,"humidity":62,"dew_point":14.69,"uvi":1.96,"clouds":0,"visibility":10000,"wind_speed":1.4,"wind_deg":215,"wind_gust":2.06,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724655600,"temp":24.23,"feels_like":24.14,"pressure":1021,"humidity":55,"dew_point":14.51,"uvi":3.16,"clouds":0,"visibility":10000,"wind_speed":1.6,"wind_deg":220,"wind_gust":2.22,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724659200,"temp":25.72,"feels_like":25.63,"pressure":1021,"humidity":49,"dew_point":14.19,"uvi":4.27,"clouds":0,"visibility":10000,"wind_speed":1.76,"wind_deg":212,"wind_gust":2.2,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724662800,"temp":26.91,"feels_like":27,"pressure":1021,"humidity":44,"dew_point":13.79,"uvi":4.99,"clouds":0,"visibility":10000,"wind_speed":1.69,"wind_deg":222,"wind_gust":1.96,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724666400,"temp":27.79,"feels_like":27.55,"pressure":1021,"humidity":41,"dew_point":13.58,"uvi":5.04,"clouds":0,"visibility":10000,"wind_speed":1.47,"wind_deg":220,"wind_gust":1.64,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724670000,"temp":28.39,"feels_like":27.94,"pressure":1021,"humidity":39,"dew_point":13.25,"uvi":4.41,"clouds":0,"visibility":10000,"wind_speed":1.4,"wind_deg":214,"wind_gust":1.54,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724673600,"temp":28.65,"feels_like":28.1,"pressure":1020,"humidity":38,"dew_point":13.15,"uvi":3.33,"clouds":0,"visibility":10000,"wind_speed":1.24,"wind_deg":231,"wind_gust":1.46,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724677200,"temp":28.47,"feels_like":28.01,"pressure":1020,"humidity":39,"dew_point":13.11,"uvi":2.12,"clouds":0,"visibility":10000,"wind_speed":0.97,"wind_deg":244,"wind_gust":1.18,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724680800,"temp":27.98,"feels_like":27.72,"pressure":1020,"humidity":41,"dew_point":13.57,"uvi":1.07,"clouds":0,"visibility":10000,"wind_speed":0.59,"wind_deg":257,"wind_gust":0.82,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724684400,"temp":26.4,"feels_like":26.4,"pressure":1020,"humidity":53,"dew_point":16.12,"uvi":0.41,"clouds":0,"visibility":10000,"wind_speed":0.24,"wind_deg":324,"wind_gust":0.19,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724688000,"temp":23.15,"feels_like":23.11,"pressure":1020,"humidity":61,"dew_point":15.32,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.56,"wind_deg":8,"wind_gust":0.43,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"pop":0},{"dt":1724691600,"temp":20.87,"feels_like":20.76,"pressure":1021,"humidity":67,"dew_point":14.5,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.73,"wind_deg":10,"wind_gust":0.7,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724695200,"temp":19.83,"feels_like":19.75,"pressure":1021,"humidity":72,"dew_point":14.47,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.69,"wind_deg":19,"wind_gust":0.64,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724698800,"temp":19.12,"feels_like":19.02,"pressure":1021,"humidity":74,"dew_point":14.38,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.41,"wind_deg":62,"wind_gust":0.46,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724702400,"temp":18.62,"feels_like":18.5,"pressure":1021,"humidity":75,"dew_point":14.2,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.28,"wind_deg":131,"wind_gust":0.51,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724706000,"temp":18.28,"feels_like":18.15,"pressure":1022,"humidity":76,"dew_point":13.95,"uvi":0,"clouds":0,"visibility":10000,"wind_speed":0.31,"wind_deg":201,"wind_gust":0.5,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01n"}],"pop":0},{"dt":1724709600,"temp":17.91,"feels_like":17.74,"pressure":1022,"humidity":76,"dew_point":13.73,"uvi":0,...
                                                                                                                                                                                                                    
                                                                                                    

Forecast - CÓDIGOS DE EJEMPLO


curl --location --request GET 'https://zylalabs.com/api/4026/weather+by+location+api/4812/forecast?lat=37.0902&lon=95.7129&units=metric' --header 'Authorization: Bearer YOUR_API_KEY' 


    

Clave de Acceso a la API y Autenticación

Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Clima por Ubicación. API simplemente incluye tu token de portador en el encabezado de Autorización.
Encabezados
Encabezado Descripción
Autorización [Requerido] Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.

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Clima por Ubicación. API FAQs

Para usar esta API, el usuario debe indicar una latitud y una longitud junto con una unidad (métrica, estándar, imperial).

Hay diferentes planes que se adaptan a todos, incluyendo una prueba gratuita para un pequeño número de solicitudes, pero su tarifa está limitada para prevenir el abuso del servicio.

Zyla ofrece una amplia gama de métodos de integración para casi todos los lenguajes de programación. Puedes usar estos códigos para integrarlos en tu proyecto según lo necesites.

Es una API que permite a los usuarios obtener datos del clima a través de una ubicación.

Al proporcionar datos meteorológicos precisos basados en coordenadas de latitud y longitud, la API permite a los usuarios ofrecer pronósticos del tiempo personalizados por ubicación.

El endpoint de Pronóstico devuelve datos meteorológicos completos, incluyendo condiciones actuales, pronósticos horarios y predicciones de precipitación minuto a minuto. Proporciona detalles como temperatura, humedad, velocidad del viento y descripciones del tiempo.

Los campos clave en la respuesta incluyen "current" para las condiciones meteorológicas actuales, "minutely" para la precipitación minuto a minuto, "timezone" para la hora local, y "weather" para descripciones de las condiciones meteorológicas.

Los datos de respuesta están estructurados en formato JSON, con objetos anidados para el clima actual, pronósticos por hora y datos minuto a minuto. Cada sección contiene campos relevantes como temperatura, humedad y condiciones climáticas.

Los usuarios pueden especificar la latitud, la longitud y la unidad de medida (estándar, métrica, imperial) para personalizar sus solicitudes de datos. Esto permite obtener información meteorológica adaptada a las preferencias del usuario.

El endpoint de Pronóstico proporciona información sobre el clima actual, pronósticos por hora, precipitación minuto a minuto, velocidad del viento, humedad, temperatura y presión atmosférica, asegurando una comprensión completa del clima.

La precisión de los datos se mantiene a través de asociaciones con fuentes meteorológicas confiables y actualizaciones continuas. La API emplea controles de calidad para garantizar que la información proporcionada sea actual y precisa.

Los casos de uso típicos incluyen el desarrollo de aplicaciones meteorológicas, la asistencia a agricultores con la gestión de cultivos, la mejora de la planificación logística y la ayuda a los organizadores de eventos en la programación de actividades al aire libre basadas en pronósticos del tiempo.

Los usuarios pueden analizar los datos devueltos para tomar decisiones informadas, como planificar eventos al aire libre según las condiciones meteorológicas u optimizar las prácticas agrícolas al monitorear las previsiones locales y los patrones de precipitación.

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