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

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

Environment Variable

export REDDAPI_API_KEY="your_api_key"

Rate Limits

Plan	Monthly API Calls	Per Minute
Lite	500	50
Starter	5,000	50
Pro	15,000	100
Enterprise	Unlimited	1,000

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}'

Parameter	Type	Required	Description
query	string	Yes	Natural language question
limit	number	No	Results to return (default: 20, max: 100)

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"}'

Parameter	Type	Required	Description
query	string	Yes	Search query
limit	number	No	Results to return (default: 30, max: 30)
start_date	string	No	Start date filter (YYYY-MM-DD)
end_date	string	No	End date filter (YYYY-MM-DD)

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"

Parameter	Type	Required	Description
search	string	No	Filter by name/title/description
page	number	No	Page number (default: 1)
limit	number	No	Results per page (default: 50, max: 100)
sort	string	No	Sort by "subscribers" or "created" (default: subscribers)
order	string	No	"asc" or "desc" (default: desc)

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"

Parameter	Type	Required	Description
name	string	Yes	Subreddit name without `r/` prefix

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}'

Parameter	Type	Required	Description
start_date	string	No	Start date (default: today)
end_date	string	No	End date (default: today)
limit	number	No	Topics to return (default: 20, max: 100)

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

Use Case	Recommended	Why
Exploratory research	Semantic	LLM extracts keywords, generates summary
Known-topic monitoring	Vector	Faster, direct matching, no LLM overhead
Batch processing	Vector	5x faster per request
Answering complex questions	Semantic	AI summary synthesizes insights
Real-time dashboards	Vector	Low latency (~5s vs ~20s)

Best Use Cases (Tested)

Use Case	Effectiveness	Why
Product comparisons (A vs B)	⭐⭐⭐⭐⭐	Reddit loves debates
Tool/app recommendations	⭐⭐⭐⭐⭐	High-intent discussions
Side hustle/money topics	⭐⭐⭐⭐⭐	Engaged communities
Pain point discovery	⭐⭐⭐⭐	Emotional posts rank well
Health questions	⭐⭐⭐⭐	Active health subreddits
Technical how-to	⭐⭐⭐	Better to search specific subreddits
Abstract market research	⭐⭐	Too vague for semantic search
Non-English queries	⭐	Reddit is English-dominant

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

Goal	Pattern	Relevance
Compare products	"[A] vs [B] which should I use"	0.70-0.81
Find switchers	"why I switched from [A] to [B]"	0.70-0.73
Money/hustle topics	"[topic] that actually [works/makes money] not [scam/hype]"	0.70-0.77
App recommendations	"[category] apps which one is [accurate/best] and why"	0.67-0.72
Pain points	"I hate my current [tool] it is so [frustrating/slow]"	0.60-0.64
Solutions seeking	"[problem] tried everything what actually works"	0.60-0.63

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):

Vector search first to quickly scope the landscape
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

Natural language works best - Ask questions like a human would
Include context - "for small business" or "as a developer" improves results
Combine emotion words - "frustrated", "love", "hate", "wish" find stronger opinions
Filter by engagement - High upvotes/comments = validated pain points
Use vector search for speed - ~5s vs ~20s for semantic
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:

(invalid params),

(bad API key),

(plan limit),

(rate limit),

(server error)

Reddit Insights

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Reddit Insights

Setup

Get API Key

Environment Variable

Rate Limits

HTTP API Reference

POST /api/v1/search/semantic

POST /api/v1/search/vector

GET /api/v1/subreddits

GET /api/v1/subreddits/{name}

POST /api/v1/trends

MCP Server

Choosing Between Semantic and Vector Search

Best Use Cases (Tested)

Query Strategies

✅ Excellent Queries (relevance 0.70+)

✅ Good Queries (relevance 0.60-0.69)

❌ Weak Queries (avoid these patterns)

Query Formula Cheat Sheet

Example Workflows

Tips

Error Handling

Quick Start

Manual Installation

TEAR & SHARE

Tags

获取微博热搜榜数据，返回热搜标题、热度值和跳转链接。当用户需要查看微博热搜、微博热点、微博热榜时使用此技能。支持自定义获取条数（默认50条）。

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