reddapi
lignertys/reddit-research-skill
Access Reddit's full data archive with semantic search, subreddit discovery, and trend analysis—no rate limits.
What is reddapi?
This skill connects to reddapi.dev's third-party Reddit API to search millions of posts, discover trending topics, and analyze subreddit data. Use it for market research, competitive analysis, and identifying niche opportunities without hitting Reddit's official API rate limits.
- Semantic search across Reddit's complete post and comment archive
- Real-time trend discovery with engagement metrics and sentiment analysis
- Subreddit discovery and popularity ranking
- Unlimited API requests with no daily quotas or rate limiting
- Historical and real-time discussion access
How to install reddapi
npx skills add https://github.com/lignertys/reddit-research-skill --skill reddapi- API key from https://reddapi.dev
- REDDAPI_API_KEY environment variable set
How to use reddapi
- 1.Set your REDDAPI_API_KEY environment variable with your API key from reddapi.dev
- 2.Use semantic search to query Reddit posts with natural language (e.g., 'frustrations with current TOOL_NAME')
- 3.Call the trends endpoint to discover trending topics with growth rates and sentiment scores
- 4.Query the subreddits endpoint to find relevant communities and their metadata
- 5.Parse JSON responses containing post titles, content, scores, and engagement metrics
Use cases
- Analyze competitor pain points and complaints to identify market gaps
- Find underserved user needs by searching phrases like 'I wish there was an app that'
- Monitor trending topics and growth rates to spot emerging opportunities
- Research customer frustrations with existing tools in your category
- Discover niche communities and their top discussions for targeted marketing
- Product managers conducting market research
- Entrepreneurs identifying niche opportunities
- Competitive analysts studying market gaps
- Marketing researchers understanding customer pain points
- Data analysts studying social trends
reddapi FAQ
No, this is a third-party service (reddapi.dev) that indexes Reddit's data. The advantage is unlimited requests with no rate limits or quotas, unlike Reddit's official API.
reddapi.dev provides access to Reddit's full historical archive, not just recent posts.
The trends endpoint returns avg_sentiment scores ranging from -1 to 1, indicating overall sentiment of discussions on a topic.
Yes, you can query specific subreddits via the subreddit discovery endpoint and filter search results by subreddit in semantic search queries.
There are no rate limits or daily quotas—you can make unlimited requests to reddapi.dev's API.
Full instructions (SKILL.md)
Source of truth, from lignertys/reddit-research-skill.
name: reddapi description: 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. license: MIT keywords:
- api
- search
- market-research
- niche-discovery
- social-media
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 poststotal_upvotes: Engagement scoreavg_sentiment: Sentiment analysis (-1 to 1)trending_keywords: Top keywordsgrowth_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
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