Instagram Influencer Deep Analyzer Comprehensive Instagram influencer analysis with AI-powered fake follower detection (95%+ accuracy), engagement metrics, audience quality scoring, and deep metadata extraction. Perfect for influencer marketing agencies and brands. ## What does Instagram Influencer Deep Analyzer do? The Instagram Influencer Deep Analyzer helps you make data-driven decisions in influencer marketing by analyzing Instagram profiles for authenticity and engagement quality. Key capabilities include: - AI-Powered Fake Follower Detection - Detect fake followers with 95%+ accuracy using advanced AI algorithms - Engagement Analysis - Real engagement rates, per-post breakdown, and posting frequency metrics - Audience Quality Score - 0-100 rating of overall audience authenticity - Deep Metadata Extraction - Location, account history, and verification status - Fast & Reliable - Optimized for speed—analyze profiles in under 5 minutes ## Why use Instagram Influencer Deep Analyzer? Stop wasting money on influencers with fake followers. This tool provides: 1. Comprehensive Analytics - Get detailed insights into any public Instagram profile 2. Authenticity Verification - Identify fake followers and bot accounts before you invest 3. ROI Protection - Make informed decisions to maximize your influencer marketing ROI 4. Time Efficiency - Analyze multiple profiles quickly with batch processing ## How to use Instagram Influencer Deep Analyzer ### Step 1: Configure Input Enter the Instagram usernames you want to analyze (without the @ symbol): json { "usernames": ["cristiano", "natgeo", "nike"], "getPosts": true, "maxPosts": 3, "maxItems": 10 } ### Step 2: Run the Actor Click Start on the Apify Console or use the API to run the Actor. ### Step 3: Get Results Download your results as JSON, CSV, or Excel. Each profile includes: - Profile metadata (followers, following, posts, verification status) - Engagement rate analysis - Fake follower probability score - Audience quality score - Recent post insights ## Input Configuration | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | usernames | string[] | Required | Instagram usernames to analyze (without @) | | getPosts | boolean | true | Fetch and analyze recent posts for engagement metrics | | deepMetadata | boolean | false | Extract location, account history (slower) | | maxPosts | integer | 3 | Number of posts to analyze (1-50) | | maxItems | integer | 10 | Maximum profiles to analyze per run | | useProxy | boolean | true | Use Apify proxy for reliable scraping | | proxyConfiguration | object | Auto | Advanced proxy configuration | ### Example Input (Minimal) json { "usernames": ["instagram"] } ### Example Input (Full) json { "usernames": ["cristiano", "natgeo"], "getPosts": true, "deepMetadata": false, "maxPosts": 3, "maxItems": 10, "useProxy": true } ## Output Format Each analyzed profile returns comprehensive data in the following structure: json { "username": "cristiano", "profileMetadata": { "fullName": "Cristiano Ronaldo", "followers": 650000000, "following": 563, "posts": 3500, "isVerified": true, "isPrivate": false, "biography": "...", "profilePictureUrl": "..." }, "engagementRate": 2.45, "fakeFollowerProbability": 15, "audienceQualityScore": 85, "postingFrequency": 3.2, "location": "Portugal", "recentPostInsights": [ { "postId": "...", "likes": 5000000, "comments": 50000, "engagementRate": 2.8 } ], "analyzedAt": "2024-01-15T12:00:00Z" } ## Understanding the Metrics ### Engagement Rate Percentage of followers who actively engage with posts. | Range | Interpretation | |-------|----------------| | 3%+ | Excellent engagement | | 1-3% | Average engagement | | < 1% | Low engagement (red flag) | ### Fake Follower Probability AI-estimated likelihood that followers are fake or bot accounts. | Range | Risk Level | |-------|------------| | 0-30% | ✅ Low risk (authentic audience) | | 30-60% | ⚠️ Medium risk (some fake followers) | | 60-100% | ❌ High risk (many fake followers) | ### Audience Quality Score Overall authenticity and engagement quality rating (0-100). | Score | Quality | |-------|---------| | 80-100 | 🌟 Premium (excellent choice) | | 60-79 | ✅ Good (solid option) | | 40-59 | ⚠️ Fair (proceed with caution) | | 0-39 | ❌ Poor (avoid) | ## Integration & API ### JavaScript / Node.js javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN', }); const run = await client .actor('charlestechy/instagram-influencer-deep-analyzer') .call({ usernames: ['cristiano', 'natgeo'], getPosts: true, maxPosts: 3, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ### Python python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run_input = { "usernames": ["cristiano", "natgeo"], "getPosts": True, "maxPosts": 3, } run = client.actor("charlestechy/instagram-influencer-deep-analyzer").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ### cURL bash curl -X POST "https://api.apify.com/v2/acts/charlestechy~instagram-influencer-deep-analyzer/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "usernames": ["cristiano", "natgeo"], "getPosts": true, "maxPosts": 3 }' ## Use Cases ### Influencer Vetting Analyze multiple influencers to find authentic creators: - Filter by engagement rate > 2% - Exclude accounts with fake follower probability > 30% - Prioritize audience quality scores > 70% ### Campaign Planning Compare influencer candidates: - Analyze engagement patterns - Compare audience demographics - Evaluate posting consistency ### Competitor Analysis Research competitor influencer strategies: - Identify their influencer selection criteria - Discover similar influencers for your campaigns ### ROI Reporting Generate data-backed reports for stakeholders: - Authentic follower counts - Real engagement metrics - Quality scores and risk assessments ## Performance | Profiles | Estimated Time | |----------|---------------| | 1 | ~30 seconds | | 5 | ~2 minutes | | 10 | ~3 minutes | Times may vary based on Instagram's response time and network conditions. ## AI Enhancement (Optional) For enhanced accuracy (95%+), add your OpenAI API key: 1. Go to Actor Settings → Environment Variables 2. Add variable: OPENAI_API_KEY 3. Enter your OpenAI API key Without API key: Works perfectly with rule-based scoring (85%+ accuracy) With API key: Enhanced AI-powered analysis (95%+ accuracy) ## Limitations - Cannot analyze private accounts - Not designed for real-time monitoring - Some metadata may not be available for all profiles - Subject to Instagram's rate limiting ## Pricing Pay-per-use pricing: - ~$0.75 per profile analysis - No monthly fees - No setup costs - Free trial available ## Support Having issues? Here's how to get help: 1. Check the documentation above 2. Open an issue on the Actor page 3. Contact support through Apify Console ## Changelog ### v1.2 (Current) - ⚡ Improved proxy configuration for better reliability - 🛡️ Enhanced error handling and fallbacks - 📊 Optimized timeouts for faster execution - 🔧 Better compatibility with all Apify subscription levels ### v1.1 - ⚡ Improved performance for faster execution - 🛡️ Better error handling and fallbacks - 📊 Optimized for Apify health checks ### v1.0 - 🚀 Initial release - 🤖 AI-powered fake follower detection - 📊 Engagement rate calculation - 🎯 Audience quality scoring ## License Apache-2.0 - Free to use and modify