El endpoint de Autocompletar devuelve sugerencias de consultas en tiempo real basadas en la entrada del usuario. Esto incluye consultas de búsqueda sugeridas y destacados, así como información de entidades del Gráfico de Conocimiento de Google cuando está disponible.

Los campos clave en los datos de respuesta incluyen "status," "request_id," "parameters," y "data." El campo "data" contiene un array de consultas sugeridas, cada una con su propio "query" y "highlights."

Los datos de respuesta están estructurados como un objeto JSON. Incluye un mensaje de estado, un ID de solicitud único, parámetros utilizados para la solicitud y un array de consultas sugeridas, cada una representada como un objeto con campos relevantes.

El endpoint de Autocompletar acepta parámetros como "query" (la entrada del usuario), "language" (para localización) y "region" (para personalizar sugerencias según la ubicación geográfica).

El endpoint de Autocompletar proporciona consultas de búsqueda sugeridas y resalta información relevante para la consulta de entrada. También ofrece información sobre entidades del Google Knowledge Graph, mejorando el contexto de las sugerencias.

La precisión de los datos se mantiene a través de los extensos algoritmos de Google y su vasta base de datos, que se actualiza continuamente en función de las interacciones de los usuarios y las tendencias de búsqueda, asegurando sugerencias relevantes y oportunas.

Los casos de uso típicos incluyen mejorar las funciones de búsqueda en sitios web, mejorar las experiencias de búsqueda en aplicaciones móviles, optimizar el contenido para SEO e integrar sugerencias en tiempo real en chatbots para una mejor interacción con el usuario.

Los usuarios pueden utilizar los datos devueltos mostrando consultas sugeridas en las barras de búsqueda, utilizando resaltados para enfatizar términos relevantes y aprovechando la información del Gráfico de Conocimientos para proporcionar contexto adicional en los resultados de búsqueda.

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