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Reddit Data API

Real-time social sentiment data from Reddit. Anti-detection technology, comprehensive API documentation, social sentiment analysis with community discussions, market insights, and crowd intelligence for financial markets.

🚀 Overview

The Reddit Parser provides enterprise-level data extraction from Reddit's comprehensive social media platform, including real-time sentiment analysis, community discussions, trending topics, and detailed social metrics for financial markets with a focus on crowd intelligence, social sentiment, and community-driven market insights.

Key Features

  • 👥 Community Intelligence - Access to millions of Reddit users
  • 📊 Sentiment Analysis - Real-time sentiment scoring and analysis
  • 🔥 Trending Topics - Identify trending financial discussions
  • 🛡️ Anti-detection - Advanced bypass technology
  • 📈 Market Insights - Community-driven market intelligence

📊 Data Points

  • Sentiment Data - Real-time sentiment scores, sentiment trends
  • Community Discussions - Posts, comments, upvotes, downvotes
  • Trending Topics - Hot posts, trending tickers, viral content
  • User Engagement - Comment counts, karma, user activity
  • Market Discussions - Stock discussions, crypto conversations
  • Subreddit Data - Financial subreddits, community metrics

🛠️ Quick Start

// Initialize Reddit parser
// const redditParser = new StockAPIParser({
apiKey: 'your-api-key',
platform: 'reddit',
});

// Get sentiment data
// const sentiment = await redditParser.getSentiment({
symbol: 'AAPL',
subreddit: 'wallstreetbets'
});

// console.log(`Apple sentiment score: ${sentiment.score}`);
// console.log(`Mentions: ${sentiment.mentions}`);

Python Example

import stockapi

# Initialize client
client = stockapi.Client(api_key='your-api-key')

# Get Apple sentiment data
apple_sentiment = client.reddit.get_sentiment(
symbol='AAPL',
subreddit='wallstreetbets'
)

print(f"Apple Sentiment: {apple_sentiment['score']}")
print(f"Mentions: {apple_sentiment['mentions']}")
print(f"Positive Posts: {apple_sentiment['positive_posts']}")

📈 API Endpoints

Sentiment Analysis

// Get sentiment for specific symbol
// const sentiment = await redditParser.getSentiment({
symbol: 'AAPL',
subreddit: 'wallstreetbets'
});

// Get sentiment trends
// const sentimentTrends = await redditParser.getSentimentTrends({
symbol: 'AAPL',
timeframe: '24h'
});

// Get overall market sentiment
// const marketSentiment = await redditParser.getMarketSentiment({
timeframe: '24h'
});

Community Discussions

// Get trending posts
// const trendingPosts = await redditParser.getTrendingPosts({
subreddit: 'wallstreetbets',
limit: 100
});

// Get symbol mentions
// const symbolMentions = await redditParser.getSymbolMentions({
symbol: 'AAPL',
timeframe: '24h'
});

// Get user discussions
// const userDiscussions = await redditParser.getUserDiscussions({
username: 'user123',
limit: 50
});

Subreddit Data

// Get subreddit info
// const subredditInfo = await redditParser.getSubredditInfo({
subreddit: 'wallstreetbets'
});

// Get subreddit posts
// const subredditPosts = await redditParser.getSubredditPosts({
subreddit: 'wallstreetbets',
sort: 'hot',
limit: 100
});

// Get subreddit comments
// const subredditComments = await redditParser.getSubredditComments({
subreddit: 'wallstreetbets',
limit: 100
});
// Get trending tickers
// const trendingTickers = await redditParser.getTrendingTickers({
timeframe: '24h'
});

// Get viral posts
// const viralPosts = await redditParser.getViralPosts({
subreddit: 'wallstreetbets',
limit: 50
});

// Get sentiment leaders
// const sentimentLeaders = await redditParser.getSentimentLeaders({
timeframe: '24h'
});

🔧 Advanced Features

Real-time Streaming

// Create WebSocket connection for real-time data
// const stream = redditParser.createWebSocket({
channels: ['sentiment', 'mentions', 'trending'],
symbols: ['AAPL', 'TSLA', 'GME', 'AMC', 'BBBY']
});

// stream.on('data', (data) => {
// console.log('Real-time update:', data);
});

// stream.on('error', (error) => {
// console.error('Stream error:', error);
});

Batch Processing

// Get data for multiple symbols efficiently
// const batchData = await redditParser.getBatchData({
symbols: ['AAPL', 'TSLA', 'GME', 'AMC', 'BBBY'],
functions: ['sentiment', 'mentions', 'trending']
});

📊 Sample API Response

{
"success": true,
"data": {
"symbol": "AAPL",
"subreddit": "wallstreetbets",
"sentiment_score": 0.75,
"sentiment_label": "bullish",
"mentions": 1250,
"positive_posts": 850,
"negative_posts": 200,
"neutral_posts": 200,
"top_posts": [
{
"title": "Apple earnings beat expectations!",
"score": 1250,
"comments": 450,
"sentiment": "positive",
"url": "https://reddit.com/r/wallstreetbets/comments/123456"
}
],
"trending_keywords": ["earnings", "iphone", "services", "revenue"],
"timestamp": "2024-01-15T10:30:00.000Z"
},
"metadata": {
"timestamp": "2024-01-15T10:30:00.000Z",
"source": "reddit",
"cache_hit": false,
"response_time": "200ms"
}
}

🎯 Use Cases

Social Sentiment Trading

  • Sentiment-based Trading - Trade based on social sentiment signals
  • Crowd Intelligence - Leverage community insights for trading decisions
  • Trend Detection - Identify emerging trends before they become mainstream
  • Contrarian Signals - Use extreme sentiment as contrarian indicators

Market Research

  • Community Analysis - Analyze what retail investors are discussing
  • Trend Research - Research trending topics and discussions
  • Sentiment Monitoring - Monitor sentiment changes over time
  • Influencer Tracking - Track influential users and their opinions

Risk Management

  • Sentiment Alerts - Set up alerts for extreme sentiment changes
  • Market Sentiment - Monitor overall market sentiment
  • Volatility Prediction - Use sentiment to predict volatility
  • Bubble Detection - Identify potential market bubbles through sentiment

🚀 Get Started Today

Free Trial

Start with our free tier and get instant access to:

  • 1,000 API calls per month
  • Basic sentiment data
  • Documentation and support
  • SDK downloads

Professional Plans

Upgrade to professional plans for:

  • Unlimited API calls
  • Premium data feeds
  • Priority support
  • Custom integrations

Enterprise Solutions

Contact us for enterprise solutions:

  • Custom data feeds
  • Dedicated infrastructure
  • SLA guarantees
  • White-label solutions

Ready to access social sentiment data from Reddit? Get started today and transform your trading with crowd intelligence and social sentiment analysis.