reddapi（reddapi 搜索）

reddapi.dev Skill

Overview

Access Reddit's complete data archive through reddapi.dev's powerful API. This skill provides semantic search, subreddit discovery, and trend analysis capabilities.

Key Features

🔍 Semantic Search

Natural language search across millions of Reddit posts and comments.

# Search for user pain points
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
  -H "Authorization: Bearer $REDDAPI_API_KEY" \
  -d '{"query": "best productivity tools for remote teams", "limit": 100}'

# Find complaints and frustrations
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
  -H "Authorization: Bearer $REDDAPI_API_KEY" \
  -d '{"query": "frustrations with current TOOL_NAME", "limit": 100}'

📊 Trends API

Discover trending topics with engagement metrics.

# Get trending topics
curl "https://reddapi.dev/api/v1/trends" \
  -H "Authorization: Bearer $REDDAPI_API_KEY"

Response includes:

• post_count: Number of posts
• total_upvotes: Engagement score
• avg_sentiment: Sentiment analysis (-1 to 1)
• trending_keywords: Top keywords
• growth_rate: Trend momentum

📝 Subreddit Discovery

# List popular subreddits
curl "https://reddapi.dev/api/subreddits?limit=100" \
  -H "Authorization: Bearer $REDDAPI_API_KEY"

# Get specific subreddit info
curl "https://reddapi.dev/api/subreddits/programming" \
  -H "Authorization: Bearer $REDDAPI_API_KEY"

Use Cases

Market Research

# Analyze competitor discussions
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
  -H "Authorization: Bearer $REDDAPI_API_KEY" \
  -d '{"query": "COMPETITOR problems complaints", "limit": 200}'

Niche Discovery

# Find underserved user needs
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
  -H "Authorization: Bearer $REDDAPI_API_KEY" \
  -d '{"query": "I wish there was an app that", "limit": 100}'

Trend Analysis

# Monitor topic growth
curl "https://reddapi.dev/api/v1/trends" \
  -H "Authorization: Bearer $REDDAPI_API_KEY" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for trend in data.get('data', {}).get('trends', []):
    print(f\"{trend['topic']}: {trend['growth_rate']}% growth\")
"

Response Format

Search Results

{
  "success": true,
  "results": [
    {
      "id": "post123",
      "title": "User post title",
      "selftext": "Post content...",
      "subreddit": "r/somesub",
      "score": 1234,
      "num_comments": 89,
      "created_utc": "2024-01-15T10:30:00Z"
    }
  ],
  "total": 15000
}

Trends Response

{
  "success": true,
  "data": {
    "trends": [
      {
        "topic": "AI regulation",
        "post_count": 1247,
        "total_upvotes": 45632,
        "avg_sentiment": 0.42,
        "growth_rate": 245.3
      }
    ]
  }
}

Environment Variables

export REDDAPI_API_KEY="your_api_key"

Get your API key at: https://reddapi.dev

Related Skills

• niche-hunter: Automated opportunity discovery
• market-analysis: Comprehensive research workflows