Instagram Influencer Deep Analyzer - AI-Powered Analytics
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from $0.01 / 1,000 results
Instagram Influencer Deep Analyzer - AI-Powered Analytics
Comprehensive Instagram influencer analysis with AI-powered fake follower detection, engagement metrics, and deep metadata extraction. Perfect for influencer marketing agencies and brands.
Pricing
from $0.01 / 1,000 results
Rating
0.0
(0)
Developer

Charles Sedenu
Actor stats
0
Bookmarked
6
Total users
3
Monthly active users
6 days ago
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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:
- Comprehensive Analytics - Get detailed insights into any public Instagram profile
- Authenticity Verification - Identify fake followers and bot accounts before you invest
- ROI Protection - Make informed decisions to maximize your influencer marketing ROI
- 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):
{"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)
{"usernames": ["instagram"]}
Example Input (Full)
{"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:
{"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
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
from apify_client import ApifyClientclient = 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
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:
- Go to Actor Settings → Environment Variables
- Add variable:
OPENAI_API_KEY - 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:
- Check the documentation above
- Open an issue on the Actor page
- 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