Reddit Product Insight Extractor

Extract actionable product insights from Reddit discussions using AI-powered analysis. Get real user opinions on what people love and hate about any product, service, or topic.

🎯 What This Actor Does

Analyzes Reddit discussions to extract structured insights about products, services, or topics. Perfect for:

• Product Research - Understand real user pain points before building features
• Competitive Analysis - See how your product compares to competitors
• Market Research - Discover what users actually care about
• Customer Intelligence - Get unfiltered feedback from real users

📊 How It Works

1. Search Reddit - Finds relevant discussions using AI-generated search queries
2. Extract Opinions - AI analyzes posts/comments to identify specific opinions with confidence signals
3. Summarize Insights - Groups opinions into pain points and love points with evidence

Data Collection Process

• Scrapes Reddit posts and comments (up to 50 comments per post)
• Uses rotating browser fingerprints and proxies for reliability
• Filters by users with direct experience (not speculation)
• Tracks confidence signals: direct experience, comparisons, technical details

AI Extraction Method

Each opinion is extracted with:

• Aspect - What users discuss (e.g., "battery performance", "ease of use")
• Polarity - Positive or negative sentiment
• Confidence Signal - How reliable (direct_experience > comparison > second_hand > speculation)
• Evidence - Direct quote supporting the opinion
• Comparison - Competitive positioning (if mentioned)

Summary Generation

Results are grouped by aspect and ranked by:

• Users with experience - Only counts users with direct experience signals
• Severity/Strength - Critical, high, medium, or low impact
• Percentage - % of experienced users affected
• Root Cause - One-sentence explanation of WHY users complain/praise
• Competitive Insight - How product compares to alternatives

🚀 Quick Start

Input

{
  "productName": "iPhone 15 Pro",
  "analysisDepth": "medium",
  "maxPosts": 10
}

Parameters:

• productName (required) - Product, service, or topic to research (e.g., "iPhone 15 Pro", "Perplexity AI", "Vietnam travel")
• analysisDepth (optional) - Analysis depth:
  • quick - 3 pain + 3 love points (fastest)
  • medium - 3 pain + 3 love points (default)
  • deep - 15 pain + 15 love points (comprehensive)
• maxPosts (optional) - Number of posts to analyze (default: 10, max: 50)

Output

Real-time streaming output as each insight is generated:

{
  "product": "iPhone 15 Pro",
  "overview": {
    "total_opinions": 312,
    "users_with_experience": 84,
    "threads_analyzed": 8
  },
  "painPoints": [
    {
      "aspect": "battery performance",
      "severity": "high",
      "percentage": "21%",
      "reason": "Rapid battery degradation leading to insufficient daily usage",
      "comparison": null
    }
  ],
  "lovePoints": [
    {
      "aspect": "camera quality",
      "strength": "high",
      "percentage": "34%",
      "reason": "Exceptional low-light performance and computational photography",
      "comparison": "Better than Pixel 8 Pro in low-light scenarios"
    }
  ]
}

Output Fields:

• aspect - What users discuss (natural language, domain-appropriate)
• severity/strength - Impact level (critical|high|medium|low)
• percentage - % of experienced users affected
• reason - One-sentence root cause explanation
• comparison - Competitive positioning vs alternatives (or null)

💡 Use Cases

Product Development

{"productName": "Notion", "analysisDepth": "deep"}

Discover feature requests and pain points to prioritize your roadmap.

Competitive Intelligence

{"productName": "ChatGPT vs Claude", "analysisDepth": "medium"}

Understand how users compare competing products.

Market Research

{"productName": "electric vehicles", "analysisDepth": "deep", "maxPosts": 50}

Analyze market sentiment and adoption barriers.

Travel Planning

{"productName": "Japan travel", "analysisDepth": "medium"}

Get real traveler insights on destinations.

🔍 What Makes This Different

• Experience-Based - Only counts opinions from users with direct experience
• Natural Aspects - AI creates domain-appropriate categories (not hardcoded)
• Competitive Context - Shows how products compare to alternatives
• Evidence-Backed - Every insight includes supporting quotes
• Real-Time Streaming - See results as they're generated (no waiting)

⚡ Performance

• Quick mode: ~90s for 10 posts
• Medium mode: ~110s for 10 posts
• Deep mode: ~130s for 50 posts

Processing time scales with:

• Number of posts
• Comments per post
• Analysis depth

📈 Output Format

Pain Points

Each pain point includes:

• Aspect name (e.g., "battery performance")
• Severity (critical|high|medium|low)
• Users affected (count + percentage)
• Root cause explanation (one sentence)
• Competitive insight (if applicable)

Love Points

Each love point includes:

• Aspect name (e.g., "camera quality")
• Strength (critical|high|medium|low)
• Users affected (count + percentage)
• Root cause explanation (one sentence)
• Competitive insight (if applicable)

🎓 Best Practices

1. Be Specific - "iPhone 15 Pro battery" better than "iPhone"
2. Use Deep Mode - For comprehensive analysis (15 pain + 15 love points)
3. Increase Posts - More posts = more reliable insights (up to 50)
4. Check Comparisons - Look for competitive positioning insights
5. Trust Experience - Percentage shows reliability (higher = more users)

🔧 Technical Details

• Data Source: Reddit (posts + comments)
• AI Model: Google Gemini 2.5 Flash
• Extraction: Atomic opinion schema with confidence signals
• Storage: Supabase (PostgreSQL with RLS)
• Streaming: Real-time output via Apify dataset

📝 Example Outputs

Product (iPhone 15 Pro)

• Pain: battery performance, overheating, price value
• Love: camera quality, performance, ecosystem

Service (Perplexity AI)

• Pain: poor quality, missing features, slow performance
• Love: rich features, great performance, high quality

Travel (Vietnam)

• Pain: visa process, scams, language barrier
• Love: food quality, affordability, cultural experience

🚨 Limitations

• Reddit data only (not other platforms)
• English language discussions
• Requires active Reddit communities
• Processing time increases with data volume

📞 Support

For issues or questions, contact support via Apify platform.

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Built with: Node.js, Google Gemini AI, Supabase, Reddit scraping infrastructure