{
"success": true,
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"endpoint": "search",
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"cached": false,
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"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
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"hasMore": true,
"items": [
{
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"title": "Next-generation AI agents and real-time community intelligence benchmarks in 2026",
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"url": "https://www.reddit.com/r/technology/comments/1b8k9x2/nextgeneration_ai_agents_and_realtime/",
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"comments": [],
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curl --location --request GET 'https://zylalabs.com/api/14529/reddit+community+post+comment+and+search+data+api/37102/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": {
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"endpoint": "subreddit",
"tier": "ULTRA",
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"latency_ms": 941.2,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
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"sort": "hot",
"timeFilter": "all",
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"nextCursor": "t3_1b8k9x2",
"hasMore": true,
"items": [
{
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"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/",
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"score": 2840,
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}
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}
curl --location --request GET 'https://zylalabs.com/api/14529/reddit+community+post+comment+and+search+data+api/37103/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": {
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"plugin": "reddit",
"endpoint": "post",
"tier": "ULTRA",
"cached": false,
"latency_ms": 1180.5,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
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"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,
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"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,
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{
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"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,
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"permalink": "https://www.reddit.com/r/technology/comments/1b8k9x2/sample_thread/kty9b4c/",
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}
],
"searchQuery": null,
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curl --location --request GET 'https://zylalabs.com/api/14529/reddit+community+post+comment+and+search+data+api/37104/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": {
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"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/",
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},
{
"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/",
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}
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curl --location --request GET 'https://zylalabs.com/api/14529/reddit+community+post+comment+and+search+data+api/37105/get+post+comment+thread?post_id=1j9x2a4&sort=confidence&limit=25&no_cache=false' --header 'Authorization: Bearer YOUR_API_KEY'
{
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"plugin": "reddit",
"endpoint": "user",
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"cached": false,
"latency_ms": 1120.8,
"timestamp": "2026-10-27T06:40:00.000000+00:00"
},
"data": {
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"pageSize": 1,
"nextCursor": "t3_1b8k9x2",
"hasMore": false,
"items": [
{
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"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,
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}
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}
curl --location --request GET 'https://zylalabs.com/api/14529/reddit+community+post+comment+and+search+data+api/37106/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'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 Reddit社区帖子评论和搜索数据 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
每个端点返回来自公共Reddit社区的结构化JSON数据:搜索Reddit帖子和获取子论坛提要帖子返回带有评分和分页游标的帖子集合,获取帖子详情返回完整的线程元数据和顶级评论,获取帖子评论线程返回嵌套评论树,以及获取用户提交的帖子返回公共用户提交内容
关键帖子字段包括 id title subreddit author score upvoteRatio commentCount createdAt permalink bodyText 和 mediaUrls 评论项还包括 parentId 和 depth 以重建多层次的对话树
参数因端点而异,包括 `query` `subreddit` `sort` `time_range` `limit` `cursor` `include_nsfw` `post_id` `include_comments` `comment_limit` `username` `tab` 和 `no_cache`
当有额外项目可用时,响应包括一个 `nextCursor` 字符串和 `hasNextPage` 布尔值。在您的下一个请求中将 `nextCursor` 值传递到 `cursor` 参数中以检索下一页
是的。在获取帖子详情的端点上,将`include_comments`设置为`true`并调整`comment_limit`以在一个请求中接收完整的`post`对象和顶级线程`comments`
每个响应使用一个一致的 JSON 信封,包含一个 `success` 布尔值,一个包含 `request_id`、`latency_ms` 和 `cached` 状态的 `meta` 对象,以及一个持有请求的 `items`、`post` 或 `comments` 的 `data` 对象
常见的用例包括人工智能代理基础和检索增强生成社交倾听品牌情感分析社区趋势跟踪市场研究和开发者生态系统监测
响应默认缓存60秒以最大化速度并保护速率限制。将`no_cache`设置为`true`传递到任何端点以强制进行新的实时上游提取