Para utilizar esta API debes indicar la URL de un video de Youtube para obtener metadatos sobre el video indicado.

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Zyla ofrece una amplia gama de métodos de integración para casi todos los lenguajes de programación. Puede usar estos códigos para integrar con su proyecto según sea necesario.

La API de Detalles Multimedia de YouTube es una Interfaz de Programación de Aplicaciones diseñada para proporcionar a los usuarios información completa sobre el contenido multimedia alojado en YouTube.

El endpoint de metadatos de video de YouTube devuelve metadatos detallados sobre un video específico de YouTube, incluidos campos como ID de video, URL, número de me gusta, número de no me gusta, número de vistas, calificación y una descripción de la calificación.

Los campos clave en los datos de respuesta incluyen "id" (ID del video), "url" (enlace del video), "like" (número de me gusta), "dislike" (número de no me gusta), "viewCount" (total de vistas), "rating" (calificación promedio) y "ratingDescription" (resumen de la calificación).

Los datos de la respuesta están estructurados en formato JSON, con un objeto de nivel superior que contiene "estado", "datos", "datos_no_relacionados" y "respuesta". El objeto "datos" contiene la metainformación específica del video.

El punto final proporciona información como el conteo de likes y dislikes del video, la cantidad de vistas, la calificación general y un resumen descriptivo de la calificación, lo que permite obtener una visión completa del rendimiento del video.

El parámetro principal requerido es la "URL" del video de YouTube. Los usuarios deben proporcionar una URL de video válida para recuperar su metadata asociada.

Los usuarios pueden aprovechar los datos devueltos para mejorar la interacción de los usuarios mostrando métricas de video, creando sistemas de recomendación o analizando el rendimiento del video para la estrategia de contenido.

Los casos de uso típicos incluyen la construcción de plataformas de agregación de contenido, el desarrollo de motores de recomendación, la mejora de contenido educativo y la creación de listas de reproducción de video personalizadas basadas en las preferencias del usuario.

La precisión de los datos se mantiene a través de la integración directa con la API de YouTube, lo que asegura que los metadatos recuperados reflejan la información más actual disponible en la plataforma.

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