🔍 Reddit Search Scraper

🆓 100% FREE | ⚡ Fast & Reliable | 🔒 No API Key Required

A powerful tool for searching Reddit content by keywords. Find posts, subreddits, and users with flexible sorting and time filters.

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✨ Why Choose This Scraper?

• ✅ Completely Free - No hidden costs or subscriptions
• ✅ No Reddit API Key Needed - Works out of the box
• ✅ Residential Proxies Included - Avoid rate limits
• ✅ Automatic Pagination - Get thousands of results effortlessly
• ✅ Real-time Data - Fresh content from Reddit

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🚀 Key Features

• Keyword Search: Find relevant content on Reddit
• Search Types: Posts (link), subreddits (sr), users (user)
• Time Filters: hour, day, week, month, year, all
• Sorting Options: relevance, hot, top, new, comments
• NSFW Content: Optional inclusion/exclusion
• Pagination: Automatic handling of large result sets

📋 Input Parameters

{
  "searches": ["python", "machine learning"],
  "type": "link",
  "sort": "new",
  "time": "week",
  "includeNSFW": false,
  "maxItems": 100,
  "debugMode": false
}

Parameters:

• searches (array, required): List of keywords to search for
• type (string): Content type - link (posts), sr (subreddits), user (users)
• sort (string): Result sorting method
• time (string): Time filter for publication date
• includeNSFW (boolean): Include NSFW content
• maxItems (integer): Maximum number of results
• debugMode (boolean): Debug mode with detailed logging

📤 Output Data

Each result contains:

{
  "dataType": "post",
  "keyword": "python",
  "title": "New Python 3.13 features",
  "url": "https://www.reddit.com/r/Python/comments/...",
  "id": "abc123",
  "author": "username",
  "created_at_text": "2 hours ago",
  "scrapedAt": "2025-01-20T10:30:00.000Z"
}

💡 Usage Examples

Search for Python posts from the last week

{
  "searches": ["python"],
  "type": "link",
  "sort": "top",
  "time": "week",
  "maxItems": 50
}

Find AI-related subreddits

{
  "searches": ["artificial intelligence", "machine learning"],
  "type": "sr",
  "sort": "relevance",
  "maxItems": 20
}

⚙️ Technical Details

• Memory: 256 MB (optimized for efficiency)
• Proxy: Residential (automatic, included free)
• Timeout: 3600 seconds
• Source: old.reddit.com (more stable for parsing)

📝 Notes

• Uses HTML parsing for maximum stability
• Automatic pagination handling
• Residential proxies to avoid blocking
• All results include data collection timestamp

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🎯 Perfect For

• 📊 Market research and trend analysis
• 🔬 Academic research and data collection
• 📈 Social media monitoring
• 🤖 Training AI/ML models
• 📰 Content discovery and curation

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💬 Questions or Issues? Feel free to reach out or check the documentation!