Reddapi

Skill lignertys/reddit-research-skills/skills/reddapi

Reddit research skills for Claude Code and AI agents

Install

npx -y skills add lignertys/reddit-research-skills --skill reddapi

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What its author says it does

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Use this skill to access Reddit's full data archive via reddapi.dev API. Features semantic search, subreddit discovery, and real-time trend analysis. Perfect for market research, competitive analysis, and niche opportunity discovery.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.7 KB, 964 tokens by cl100k_base, as published. Nobody here has run it

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 Advantage: This is a third-party service (not Reddit official), meaning:

✅ No rate limits - Unlimited QPS and request volume
✅ No time restrictions - 24/7 availability
✅ No daily/monthly quotas - Use as much as you need
✅ Full Reddit archive - Access historical and real-time discussions

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