{
"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/14532/reddit+post+and+media+extractor+api/37117/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/14532/reddit+post+and+media+extractor+api/37118/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/14532/reddit+post+and+media+extractor+api/37119/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/14532/reddit+post+and+media+extractor+api/37120/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/14532/reddit+post+and+media+extractor+api/37121/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'
Após se cadastrar, cada desenvolvedor recebe uma chave de acesso à API pessoal, uma combinação única de letras e dígitos para acessar nosso endpoint de API. Para autenticar com a Extrator de Postagens e Mídias do Reddit API basta incluir seu token Bearer no cabeçalho Authorization.
| Cabeçalho | Descrição |
|---|---|
Authorization
|
Obrigatório
Deve ser Bearer access_key. Veja "Sua chave de acesso à API" acima quando você estiver inscrito.
|
Sem compromisso de longo prazo. Faça upgrade, downgrade ou cancele a qualquer momento.
Extraia os detalhes completos da postagem no Reddit, texto markdown de postagem própria, pontuações, razões de votos positivos, links de galeria e mídia de vídeo, e os principais comentários do tópico pelo ID da postagem ou link permanente
Cada ponto final retorna dados JSON estruturados de comunidades públicas do Reddit: Pesquisa de Postagens do Reddit e Obter Postagens do Feed de Subreddit retornam coleções de postagens com pontuações e cursores de paginação, Obter Detalhes da Postagem retorna metadados completos do tópico mais os comentários principais, Obter Thread de Comentários da Postagem retorna árvores de comentários aninhadas e Obter Postagens Submetidas pelo Usuário retorna submissões públicas de usuários
Os campos principais do post incluem `id`, `título`, `subreddit`, `autor`, `pontuação`, `razãoDeUpvote`, `contagemDeComentários`, `criadoEm`, `permalink`, `textoCorpo` e `urlsDeMídia`. Itens de comentário também incluem `idPai` e `profundidade` para reconstruir árvores de conversação em múltiplos níveis
Os parâmetros variam por ponto final e incluem `query`, `subreddit`, `sort`, `time_range`, `limit`, `cursor`, `include_nsfw`, `post_id`, `include_comments`, `comment_limit`, `username`, `tab`, e `no_cache`
Quando itens adicionais estiverem disponíveis a resposta inclui uma string `nextCursor` e um booleano `hasNextPage` Passe o valor `nextCursor` para o parâmetro `cursor` na sua próxima solicitação para recuperar a próxima página
Sim No endpoint Get Post Detail defina `include_comments` como `true` e ajuste `comment_limit` para receber tanto o objeto `post` completo quanto os principais `comments` da thread em uma única solicitação
Cada resposta usa um envelope JSON consistente contendo um booleano `success`, um objeto `meta` com `request_id`, `latency_ms` e status `cached`, e um objeto `data` contendo os `items`, `post` ou `comments` solicitados
Casos de uso comuns incluem o embasamento de agentes de IA e Geração Aumentada por Recuperação (RAG) escuta social análise de sentimento de marca rastreamento de tendências de comunidade pesquisa de mercado e monitoramento de ecossistema de desenvolvedores
As respostas são armazenadas em cache por 60 segundos por padrão para maximizar a velocidade e proteger os limites de taxa. Passe `no_cache` definido como `true` em qualquer endpoint para forçar uma extração upstream em tempo real fresca