Reddit Insights

对数百万Reddit帖子进行语义搜索。与关键词搜索不同，它能理解意图和含义。

由reddapi.dev提供支持 — 基于AI的语义搜索和向量相似性搜索，覆盖1000+个子版块，索引了数百万帖子，持续更新。

主要优势：

• ✅两种搜索模式- 语义搜索（AI摘要）+ 向量搜索（快速相似性）
• ✅完整的Reddit存档- 访问历史和实时讨论
• ✅AI摘要- 语义搜索生成全面摘要
• ✅MCP支持- 直接集成Claude Desktop、Cursor等工具

设置

获取API密钥

1. 请在以下网址创建账户https://reddapi.dev
2. 订阅付费套餐（Lite版 $9.90/月，Starter版 $49/月，Pro版 $99/月，或 Enterprise版）
3. 前往https://reddapi.dev/account查看或生成您的API密钥

环境变量

export REDDAPI_API_KEY="your_api_key"

速率限制

HTTP API参考

基础URL： https://reddapi.dev

认证方式：所有请求都需要包含请求头：

Authorization: Bearer YOUR_API_KEY

POST /api/v1/search/semantic

具备关键词提取、向量搜索和AI摘要生成功能的AI语义搜索。

curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "What do developers think about Rust vs Go for backend services?", "limit": 20}'

响应：

{
  "success": true,
  "data": {
    "query": "What do developers think about Rust vs Go for backend services?",
    "results": [
      {
        "id": "1abc234",
        "title": "Switched our microservices from Go to Rust - here's what happened",
        "content": "After 6 months of running Go in production...",
        "subreddit": "rust",
        "upvotes": 847,
        "comments": 234,
        "created": "2026-02-15T10:30:00.000Z",
        "relevance": 0.92,
        "sentiment": "Discussion",
        "url": "https://reddit.com/r/rust/comments/1abc234"
      }
    ],
    "total": 20,
    "processing_time_ms": 12450,
    "ai_summary": "Developers are divided on Rust vs Go for backend services..."
  }
}

POST /api/v1/search/vector

快速向量相似性搜索。无大语言模型处理，秒级返回结果。

curl -X POST "https://reddapi.dev/api/v1/search/vector" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "best productivity apps for ADHD", "limit": 30, "start_date": "2026-01-01", "end_date": "2026-03-18"}'

响应：

{
  "success": true,
  "data": {
    "query": "best productivity apps for ADHD",
    "results": [
      {
        "id": "2def567",
        "title": "Finally found an app that works for my ADHD brain",
        "content": "I've tried everything from Todoist to Notion...",
        "subreddit": "ADHD",
        "upvotes": 1203,
        "comments": 456,
        "created": "2026-03-01T14:22:00.000Z",
        "similarity_score": 0.89,
        "url": "https://reddit.com/r/ADHD/comments/2def567"
      }
    ],
    "total": 30,
    "processing_time_ms": 3200
  }
}

GET /api/v1/subreddits

列出可用的子版块及其元数据，按订阅者数量排序。

curl "https://reddapi.dev/api/v1/subreddits?search=programming&limit=10" \
  -H "Authorization: Bearer YOUR_API_KEY"

GET /api/v1/subreddits/{名称}

获取特定子版块的详细信息及近期帖子。

curl "https://reddapi.dev/api/v1/subreddits/webdev" \
  -H "Authorization: Bearer YOUR_API_KEY"

POST /api/v1/trends

根据帖子参与度，从Reddit获取热门话题。

curl -X POST "https://reddapi.dev/api/v1/trends" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"start_date": "2026-03-11", "end_date": "2026-03-18", "limit": 20}'

MCP 服务器

reddapi.dev 还提供了一个模型上下文协议（MCP）服务器，用于直接与AI客户端集成。

端点： https://reddapi.dev/api/mcp 协议：MCP 可流式传输 HTTP 传输

{
  "mcpServers": {
    "reddit-search-api": {
      "transport": {
        "type": "http",
        "url": "https://reddapi.dev/api/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

MCP 工具：reddit_semantic_search，reddit_vector_search，reddit_list_subreddits，reddit_get_subreddit，reddit_get_trends

在语义搜索和向量搜索之间进行选择

最佳用例（已测试）

查询策略

✅ 优秀查询（相关性 0.70+）

产品对比（最佳结果！）：

"Notion vs Obsidian for note taking which one should I use"
→ Relevance: 0.72-0.81 | Found: Detailed comparison discussions, user experiences

"why I switched from Salesforce to HubSpot honest experience"  
→ Relevance: 0.70-0.73 | Found: Migration stories, feature comparisons

副业/赚钱话题：

"side hustle ideas that actually make money not scams"
→ Relevance: 0.70-0.77 | Found: Real experiences, specific suggestions

✅ 良好查询（相关性 0.60-0.69）

痛点发现：

"I hate my current CRM it is so frustrating"
→ Relevance: 0.60-0.64 | Found: Specific CRM complaints, feature wishlists

工具评估：

"AI tools that actually save time not just hype"
→ Relevance: 0.64-0.65 | Found: Real productivity gains, tool recommendations

❌ 弱效查询（避免这些模式）

过于抽象："商业机会 增长潜力" → 0.52-0.58非英语："学习编程最好的方法" → 0.45-0.51

查询公式速查表

示例工作流

市场调研：

curl -X POST https://reddapi.dev/api/v1/search/semantic \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "frustrated with project management tools switching from Jira", "limit": 50}'

品牌监测（快速）：

curl -X POST https://reddapi.dev/api/v1/search/vector \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "your-brand-name reviews complaints", "limit": 30}'

深度研究（两者结合）：

1. 首先使用向量搜索快速界定范围
2. 使用语义搜索对特定角度进行深入分析

时间过滤的情绪追踪：

curl -X POST https://reddapi.dev/api/v1/search/vector \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "ChatGPT quality", "start_date": "2026-01-01", "end_date": "2026-03-18"}'

技巧

1. 自然语言效果最佳- 像人类一样提问
2. 包含上下文- "针对小企业"或"作为开发者"能改善搜索结果
3. 结合情感词汇- "沮丧"、"喜爱"、"讨厌"、"希望"能发现更强烈的观点
4. 按参与度筛选- 高赞数/评论数 = 已验证的痛点
5. 使用向量搜索以提高速度- 约5秒 vs 语义搜索的约20秒
6. 使用日期过滤器- 追踪不同时间段内的情绪变化

错误处理

所有端点返回一致的错误响应：

{
  "success": false,
  "error": "Error description",
  "message": {
    "title": "Human-readable title",
    "message": "Detailed explanation",
    "cta": "Suggested action",
    "ctaLink": "/pricing"
  }
}

常见状态码：400（参数无效），401（API密钥错误），403（套餐限制），429（频率限制），500（服务器错误）