Detect influencer fraud and fake followers with Instagram, X, TikTok and Claude

Analyzes influencer profiles and scores authenticity before brand partnership approval. Detects fake followers, bot accounts, and suspicious engagement patterns using AI-powered behavioral analysis.

🎯 How It Works

Simple 7-Node Workflow: Input → Submit influencer username and platform (Instagram/Twitter/TikTok) Fetch → Retrieve complete profile data and engagement metrics Analyze → Examine follower patterns, ratios, growth velocity, engagement AI Check → Deep behavioral analysis with Claude AI Report → Generate comprehensive fraud assessment Notify → Send detailed email report to partnership team Log → Save to database for tracking

📊 Detection Capabilities

Follower Authenticity**: Analyzes follower-to-following ratio (red flag if < 0.5) Engagement Quality**: Calculates engagement rate (industry avg: 1-5%) Growth Patterns**: Detects suspicious rapid follower spikes Content Consistency**: Evaluates posting frequency and regularity Profile Completeness**: Checks verification, bio, activity AI Behavioral Analysis**: Deep pattern recognition for sophisticated fraud

⚙️ Setup Instructions

1. Configure API Access Social Platform APIs: Instagram**: Get Graph API access token from Meta for Developers Twitter**: OAuth 2.0 credentials from Twitter Developer Portal TikTok**: Business API credentials (optional)

AI Analysis: Anthropic Claude API**: Get key from console.anthropic.com Used for advanced behavioral fraud detection

2. Setup Notifications Configure SMTP in "Send Report" node Update recipient email (partnerships@company.com) Customize HTML template if needed

3. Database (Optional) Create PostgreSQL table (schema below) Add database credentials to final node Skip if you don't need historical tracking

Database Schema CREATE TABLE partnerships.influencer_fraud_reports ( id SERIAL PRIMARY KEY, report_id VARCHAR(255) UNIQUE, username VARCHAR(255), platform VARCHAR(50), profile_url TEXT, followers BIGINT, following BIGINT, posts INTEGER, verified BOOLEAN, authenticity_score INTEGER, risk_level VARCHAR(50), final_decision TEXT, partnership_recommendation VARCHAR(100), ai_verdict VARCHAR(50), ai_confidence VARCHAR(20), red_flags JSONB, fake_follower_estimate VARCHAR(20), detailed_analysis JSONB, created_at TIMESTAMP );

🚀 How to Use

Webhook Endpoint: POST /webhook/influencer-fraud-check

Request Body: { "username": "influencer_handle", "platform": "instagram" // or "twitter", "tiktok" }

Example: curl -X POST https://your-n8n.com/webhook/influencer-fraud-check
-H "Content-Type: application/json"
-d '{"username":"example_user","platform":"instagram"}'

📈 Scoring System

Overall Authenticity Score (0-100): 80-100**: LOW RISK → Approved for partnership 60-79**: MEDIUM RISK → Requires manual review 40-59**: HIGH RISK → Caution advised 0-39**: CRITICAL RISK → Rejected

Weighted Components: Follower Quality (25%) Engagement Quality (35%) Content Consistency (15%) Growth Pattern (15%) Profile Completeness (10%)

Final Score = 70% Automated + 30% AI Analysis

🚩 Red Flags Detected

Following-to-follower ratio > 2:1 Engagement rate < 0.5% Rapid growth (>50K followers/month) Large following with <10 posts No verification with >100K followers Bot-like comment patterns Suspicious audience demographics

💰 Cost Estimate

Instagram/Twitter API**: Free tier usually sufficient Claude AI**: ~$0.10-0.20 per analysis Estimated**: $5-10/month for 50 checks

💡 Best Practices

Always verify HIGH and MEDIUM risk profiles manually Cross-reference with other influencer databases Request media kit and past campaign results Trial campaigns before large commitments Monitor performance metrics post-partnership Update detection thresholds based on your findings

🎯 What You Get

Detailed Report Includes: Overall authenticity score (0-100) Risk level classification Partnership recommendation (APPROVE/REVIEW/REJECT) Engagement quality analysis Fake follower percentage estimate AI behavioral insights Specific red flags and concerns Next steps and recommendations