reddit-insights（红迪网见解）

Reddit Insights

Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning.

Powered by reddapi.dev — AI-powered semantic search and vector similarity across 1000+ subreddits with millions of indexed posts, updated continuously.

Key Advantage:

• ✅ Two search modes - Semantic (AI summary) + Vector (fast similarity)
• ✅ Full Reddit archive - Access historical and real-time discussions
• ✅ AI summaries - Semantic search generates comprehensive summaries
• ✅ MCP support - Direct integration with Claude Desktop, Cursor, etc.

Setup

Get API Key

1. Create an account at https://reddapi.dev
2. Subscribe to a paid plan (Lite $9.90/mo, Starter $49/mo, Pro $99/mo, or Enterprise)
3. Go to https://reddapi.dev/account to view or generate your API key

Environment Variable

export REDDAPI_API_KEY="your_api_key"

Rate Limits

HTTP API Reference

Base URL: https://reddapi.dev

Authentication: All requests require header:

Authorization: Bearer YOUR_API_KEY

POST /api/v1/search/semantic

AI-powered semantic search with keyword extraction, vector search, and AI summary generation.

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}'

Response:

{
  "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

Fast vector similarity search. No LLM processing, returns results in seconds.

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"}'

Response:

{
  "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

List available subreddits with metadata, sorted by subscribers.

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

GET /api/v1/subreddits/{name}

Get detailed information about a specific subreddit with recent posts.

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

POST /api/v1/trends

Get trending topics from Reddit based on post engagement.

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 Server

reddapi.dev also provides a Model Context Protocol (MCP) server for direct integration with AI clients.

Endpoint: https://reddapi.dev/api/mcp Protocol: MCP Streamable HTTP Transport

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

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

Choosing Between Semantic and Vector Search

Best Use Cases (Tested)

Query Strategies

✅ Excellent Queries (relevance 0.70+)

Product Comparisons (best results!):

"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

Side Hustle/Money Topics:

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

✅ Good Queries (relevance 0.60-0.69)

Pain Point Discovery:

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

Tool Evaluation:

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

❌ Weak Queries (avoid these patterns)

Too Abstract: "business opportunity growth potential" → 0.52-0.58 Non-English: "学习编程最好的方法" → 0.45-0.51

Query Formula Cheat Sheet

Example Workflows

Market Research:

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}'

Brand Monitoring (fast):

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}'

Deep Research (combine both):

1. Vector search first to quickly scope the landscape
2. Semantic search for deep analysis on specific angles

Time-Filtered Sentiment Tracking:

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"}'

Tips

1. Natural language works best - Ask questions like a human would
2. Include context - "for small business" or "as a developer" improves results
3. Combine emotion words - "frustrated", "love", "hate", "wish" find stronger opinions
4. Filter by engagement - High upvotes/comments = validated pain points
5. Use vector search for speed - ~5s vs ~20s for semantic
6. Use date filters - Track sentiment changes over time periods

Error Handling

All endpoints return consistent error responses:

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

Common status codes: 400 (invalid params), 401 (bad API key), 403 (plan limit), 429 (rate limit), 500 (server error)