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URL: https://apify.com/charlestechy/instagram-influencer-deep-analyzer

โ‡ฑ Instagram Influencer Deep Analyzer - AI-Powered Analytics ยท Apify


๐Ÿ‘ Instagram Influencer Deep Analyzer - AI-Powered Analytics avatar

Instagram Influencer Deep Analyzer - AI-Powered Analytics

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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

๐Ÿ‘ Charles Sedenu

Charles Sedenu

Maintained by Community

Actor stats

3

Bookmarked

75

Total users

4

Monthly active users

6 months ago

Last modified

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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 speedโ€”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):

{
"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

ParameterTypeDefaultDescription
usernamesstring[]RequiredInstagram usernames to analyze (without @)
getPostsbooleantrueFetch and analyze recent posts for engagement metrics
deepMetadatabooleanfalseExtract location, account history (slower)
maxPostsinteger3Number of posts to analyze (1-50)
maxItemsinteger10Maximum profiles to analyze per run
useProxybooleantrueUse Apify proxy for reliable scraping
proxyConfigurationobjectAutoAdvanced 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.

RangeInterpretation
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.

RangeRisk Level
0-30%โœ… Low risk (authentic audience)
30-60%โš ๏ธ Medium risk (some fake followers)
60-100%โŒ High risk (many fake followers)

Audience Quality Score

Overall authenticity and engagement quality rating (0-100).

ScoreQuality
80-100๐ŸŒŸ Premium (excellent choice)
60-79โœ… Good (solid option)
40-59โš ๏ธ Fair (proceed with caution)
0-39โŒ Poor (avoid)

Integration & API

JavaScript / Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({
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 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

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

ProfilesEstimated 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 โ†’ 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)

  • โšก Improved proxy configuration for better reliability
  • ๐Ÿ›ก๏ธ Enhanced error handling and fallbacks
  • ๐Ÿ“Š Optimized timeouts for faster execution
  • ๐Ÿ”ง Better compatibility with all Apify subscription levels

v1.1

  • โšก Improved performance for faster execution
  • ๐Ÿ›ก๏ธ Better error handling and fallbacks
  • ๐Ÿ“Š Optimized for Apify health checks

v1.0

  • ๐Ÿš€ Initial release
  • ๐Ÿค– AI-powered fake follower detection
  • ๐Ÿ“Š Engagement rate calculation
  • ๐ŸŽฏ Audience quality scoring

License

Apache-2.0 - Free to use and modify

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