🧠 Reddit Sentiment Analysis Engine (n8n Workflow)

📊 Analyze Emotional Tone, Toxicity & Community Insights from Reddit Posts — Instantly

This advanced n8n workflow transforms Reddit content into structured sentiment intelligence — perfect for community managers, brand monitoring, researchers, or AI-based moderation tools.

🔍 What It Does

This workflow pulls recent Reddit posts from any subreddit and automatically analyzes:

✅ Overall sentiment (positive, negative, neutral) with confidence score
✅ Emotional tone and intensity (e.g. frustration, excitement, sarcasm)
✅ Toxicity level and content type (meme, debate, complaint, praise, etc.)
✅ Moderation insights: flagging issues like trolling or misinformation
✅ Actionable community response suggestions (urgency, follow-ups, etc.)

🧠 Built With

• n8n (self-hosted or desktop)
• Reddit API
• LangChain + OpenRouter AI (deepseek-r1)
• Webhook-based ingestion
• JSON-structured AI prompts and extraction pipeline

📥 Use Cases

• 🛡️ Reddit mod teams or community managers
• 🏢 Brands tracking sentiment about their services
• 🧪 Social researchers categorizing discourse
• 🧠 AI startup founders building moderation or trend detection tools

⚙️ Workflow Features

• Accepts HTTP POST request via webhook (e.g., from a form, tool, or external trigger)
• Scrapes top 5 recent posts from any subreddit
• Analyzes post and comment sentiment in-depth
• Outputs a well-structured JSON report with categories like:
  • Sentiment Confidence
  • Tone
  • Toxicity
  • Urgency
  • Follow-up action suggestions

🎯 Example Output

{
  "sentiment_analysis": {
    "overall_sentiment": {
      "category": "Negative",
      "confidence_score": 9
    },
    "emotional_tone": ["Frustrated", "Angry"],
    "intensity_level": "High"
  },
  "content_categorization": {
    "discussion_type": "Complaint",
    "key_themes": ["Banking issues", "Mobile app"],
    "toxicity_level": {
      "level": "Medium",
      "indicators": "Aggressive language, expletives"
    }
  },
  "contextual_insights": {
    "community_engagement_quality": "Mixed",
    "potential_issues_flagged": ["Trolling"],
    "trending_concerns": ["App update issues"]
  },
  "actionable_intelligence": {
    "moderator_attention_needed": {
      "required": "Yes",
      "reason": "Escalating frustration + policy violations"
    },
    "response_urgency": "High",
    "suggested_follow_up_actions": [
      "Send moderation notice",
      "Clarify app update changes"
    ]
  }
}

📦 Includes

• ✅ Full n8n Workflow JSON (Reddit Sentiment Analysis)
• ✅ Pre-written prompt with detailed Reddit-specific sentiment instructions
• ✅ Modular nodes for extracting text, batching, and LLM interaction
• ✅ Code node to unwrap and reformat AI JSON safely
• ✅ Webhook entry point to trigger from any app or system

🔧 Requirements

• n8n (self-hosted or desktop)
• Reddit API credentials
• OpenRouter API key (LLM access)
• JSON-friendly webhook caller (Zapier, Integromat, browser fetch, etc.)

💡 Prompt Customization Ideas

Want to fine-tune for your own brand or use case?

• Add brand name detection or flagging
• Customize tone detection (e.g., detect sarcasm for Gen Z brands)
• Add real-time email alerts for high-toxicity reports
• Feed results into Notion, Slack, or a CRM for team alerts

🚀 Ready to Use in Minutes

Just plug in your Reddit and OpenRouter credentials, trigger the webhook, and start analyzing real Reddit conversations for powerful community sentiment intelligence.

Built by a verified n8n creator obsessed with automation + AI + data.
Perfect for building LLM-powered moderation, PR watch tools, or Reddit dashboards.