{
"success": true,
"meta": {
"request_id": "req_7b21c84a901e",
"plugin": "reddit",
"endpoint": "search",
"tier": "ULTRA",
"cached": false,
"latency_ms": 722.4,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
"query": "openai",
"tab": "posts",
"subreddit": null,
"sort": "relevance",
"timeFilter": "all",
"pageSize": 1,
"nextCursor": "t3_1b8k9x2",
"hasMore": true,
"items": [
{
"id": "t3_1b8k9x2",
"postId": "1b8k9x2",
"title": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
"subreddit": "technology",
"author": "user_a8f2",
"url": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"score": 2840,
"upvoteRatio": 0.94,
"numComments": 342,
"createdAt": "2026-03-15T13:50:00+00:00",
"selftext": "We evaluated real-time community discussion pipelines for LLM grounding, brand sentiment tracking, and developer trend discovery.",
"postType": "text",
"flair": "Artificial Intelligence",
"isOver18": false,
"isPinned": false,
"mediaUrls": [],
"commentsCount": 0,
"comments": [],
"searchQuery": "openai",
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
]
}
}
curl --location --request GET 'https://zylalabs.com/api/14530/reddit+search+and+trend+discovery+api/37107/search+reddit+posts?query=python&sort=relevance&time_range=all&limit=10&include_nsfw=false&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
{
"success": true,
"meta": {
"request_id": "req_8c32d95b012f",
"plugin": "reddit",
"endpoint": "subreddit",
"tier": "ULTRA",
"cached": false,
"latency_ms": 941.2,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
"subreddit": "technology",
"url": "https://www.reddit.com/r/technology/",
"sort": "hot",
"timeFilter": "all",
"pageSize": 1,
"nextCursor": "t3_1b8k9x2",
"hasMore": true,
"items": [
{
"id": "t3_1b8k9x2",
"postId": "1b8k9x2",
"title": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
"subreddit": "technology",
"author": "user_a8f2",
"url": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"score": 2840,
"upvoteRatio": 0.94,
"numComments": 342,
"createdAt": "2026-03-15T13:50:00+00:00",
"selftext": "We evaluated real-time community discussion pipelines for LLM grounding, brand sentiment tracking, and developer trend discovery.",
"postType": "text",
"flair": "Artificial Intelligence",
"isOver18": false,
"isPinned": false,
"mediaUrls": [],
"commentsCount": 0,
"comments": [],
"searchQuery": null,
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
]
}
}
curl --location --request GET 'https://zylalabs.com/api/14530/reddit+search+and+trend+discovery+api/37108/get+subreddit+feed+posts?subreddit=python&sort=hot&time_range=all&limit=10&include_nsfw=false&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
{
"success": true,
"meta": {
"request_id": "req_9d43ea6c1230",
"plugin": "reddit",
"endpoint": "post",
"tier": "ULTRA",
"cached": false,
"latency_ms": 1180.5,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
"id": "t3_1b8k9x2",
"postId": "1b8k9x2",
"title": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
"subreddit": "technology",
"author": "user_a8f2",
"url": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"score": 2840,
"upvoteRatio": 0.94,
"numComments": 342,
"createdAt": "2026-03-15T13:50:00+00:00",
"selftext": "We evaluated real-time community discussion pipelines for LLM grounding, brand sentiment tracking, and developer trend discovery.",
"postType": "text",
"flair": "Artificial Intelligence",
"isOver18": false,
"isPinned": false,
"mediaUrls": [],
"commentsCount": 2,
"comments": [
{
"id": "kty8m1a",
"postId": "t3_1b8k9x2",
"parentId": "t3_1b8k9x2",
"subreddit": "technology",
"author": "user_4c9b",
"body": "The real latency win comes from edge caching and avoiding cold-start browser overhead on every API call.",
"score": 412,
"createdAt": "2026-03-15T14:22:10+00:00",
"depth": 0,
"isSubmitter": false,
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/sample_thread/kty8m1a/",
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
},
{
"id": "kty9b4c",
"postId": "t3_1b8k9x2",
"parentId": "t1_kty8m1a",
"subreddit": "technology",
"author": "user_7d1e",
"body": "Agreed. For RAG pipelines and AI agents, sub-second JSON responses make a huge difference compared to headless browsers.",
"score": 189,
"createdAt": "2026-03-15T14:35:42+00:00",
"depth": 1,
"isSubmitter": false,
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/sample_thread/kty9b4c/",
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
],
"searchQuery": null,
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
}
curl --location --request GET 'https://zylalabs.com/api/14530/reddit+search+and+trend+discovery+api/37109/get+post+detail+and+top+comments?post_id=1j9x2a4&include_comments=true&comment_limit=15&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
{
"success": true,
"meta": {
"request_id": "req_ae54fb7d2341",
"plugin": "reddit",
"endpoint": "comments",
"tier": "ULTRA",
"cached": false,
"latency_ms": 985.1,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
"postId": "1b8k9x2",
"fullnameId": "t3_1b8k9x2",
"subreddit": "technology",
"postTitle": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"returnedCount": 2,
"maxCommentsRequested": 20,
"comments": [
{
"id": "kty8m1a",
"postId": "t3_1b8k9x2",
"parentId": "t3_1b8k9x2",
"subreddit": "technology",
"author": "user_4c9b",
"body": "The real latency win comes from edge caching and avoiding cold-start browser overhead on every API call.",
"score": 412,
"createdAt": "2026-03-15T14:22:10+00:00",
"depth": 0,
"isSubmitter": false,
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/sample_thread/kty8m1a/",
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
},
{
"id": "kty9b4c",
"postId": "t3_1b8k9x2",
"parentId": "t1_kty8m1a",
"subreddit": "technology",
"author": "user_7d1e",
"body": "Agreed. For RAG pipelines and AI agents, sub-second JSON responses make a huge difference compared to headless browsers.",
"score": 189,
"createdAt": "2026-03-15T14:35:42+00:00",
"depth": 1,
"isSubmitter": false,
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/sample_thread/kty9b4c/",
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
]
}
}
curl --location --request GET 'https://zylalabs.com/api/14530/reddit+search+and+trend+discovery+api/37110/get+post+comment+thread?post_id=1j9x2a4&sort=confidence&limit=25&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
{
"success": true,
"meta": {
"request_id": "req_bf650c8e3452",
"plugin": "reddit",
"endpoint": "user",
"tier": "ULTRA",
"cached": false,
"latency_ms": 1120.8,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
"username": "user_a8f2",
"profileUrl": "https://www.reddit.com/user/user_a8f2/",
"pageSize": 1,
"nextCursor": "t3_1b8k9x2",
"hasMore": false,
"items": [
{
"id": "t3_1b8k9x2",
"postId": "1b8k9x2",
"title": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
"subreddit": "technology",
"author": "user_a8f2",
"url": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
"score": 2840,
"upvoteRatio": 0.94,
"numComments": 342,
"createdAt": "2026-03-15T13:50:00+00:00",
"selftext": "We evaluated real-time community discussion pipelines for LLM grounding, brand sentiment tracking, and developer trend discovery.",
"postType": "text",
"flair": "Artificial Intelligence",
"isOver18": false,
"isPinned": false,
"mediaUrls": [],
"commentsCount": 0,
"comments": [],
"searchQuery": null,
"scrapedAt": "2026-10-27T06:40:00.000000+00:00"
}
]
}
}
curl --location --request GET 'https://zylalabs.com/api/14530/reddit+search+and+trend+discovery+api/37111/get+user+submitted+posts+and+activity?username=user_a8f2&tab=posts&sort=new&limit=10&include_nsfw=false&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
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 Búsqueda en Reddit y descubrimiento de tendencias API simplemente incluye tu token de portador en el encabezado de Autorización.
| Encabezado | Descripción |
|---|---|
Autorización
|
Requerido
Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.
|
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento.
Busca discusiones públicas de Reddit por palabra clave en todas las comunidades o subreddits específicos con ordenación por relevancia, popularidad, mejores, nuevos o recuento de comentarios y filtros de rango de tiempo
Cada punto final devuelve datos JSON estructurados de comunidades públicas de Reddit: Buscar publicaciones de Reddit y Obtener publicaciones del feed de subreddit devuelven colecciones de publicaciones con puntajes y cursores de paginación Obtener detalles de la publicación devuelve metadatos completos del hilo más los comentarios principales Obtener el hilo de comentarios de la publicación devuelve árboles de comentarios anidados y Obtener publicaciones enviadas por el usuario devuelve las presentaciones públicas del usuario
Los campos clave de la publicación incluyen `id`, `título`, `subreddit`, `autor`, `puntuación`, `ratioDeUpvotes`, `conteoDeComentarios`, `creadoEn`, `enlacePermanente`, `textoDelCuerpo`, y `urlsDeMedios`. Los elementos de los comentarios también incluyen `idPadre` y `profundidad` para reconstruir árboles de conversación de múltiples niveles
Los parámetros varían según el punto final e incluyen `query`, `subreddit`, `sort`, `time_range`, `limit`, `cursor`, `include_nsfw`, `post_id`, `include_comments`, `comment_limit`, `username`, `tab` y `no_cache`
Cuando hay elementos adicionales disponibles la respuesta incluye una cadena `nextCursor` y un booleano `hasNextPage` Pasa el valor `nextCursor` al parámetro `cursor` en tu próxima solicitud para recuperar la siguiente página
Sí En el endpoint Obtener Detalle de Publicación establece `include_comments` en `true` y ajusta `comment_limit` para recibir tanto el objeto completo de `post` como los `comments` del hilo principal en una sola solicitud
Cada respuesta utiliza un sobre JSON consistente que contiene un booleano `success`, un objeto `meta` con `request_id`, `latency_ms` y estado `cached`, y un objeto `data` que contiene los `items`, `post` o `comments` solicitados
Los casos de uso comunes incluyen el anclaje de agentes de IA y la Generación Aumentada por Recuperación (RAG) la escucha social el análisis de sentimiento de marca el seguimiento de tendencias de la comunidad la investigación de mercado y el monitoreo del ecosistema de desarrolladores
Las respuestas se almacenan en caché durante 60 segundos por defecto para maximizar la velocidad y proteger los límites de tasa Pasa `no_cache` establecido en `true` en cualquier punto de acceso para forzar una extracción en tiempo real fresca