Instagram Followers Extractor (Rich Metadata + cookieless)

Overview

This actor performs a deep extraction of Instagram follower data with enriched metadata, delivering structured JSON output optimized for analytical workflows. The extraction pipeline captures account-level attributes, engagement metrics, profile metadata, and content analysis signals without requiring authentication cookies. Data integrity is maintained through versioned schemas and timestamp validation, ensuring reliable downstream processing for segmentation models and audience intelligence systems.

Data Dictionary

Field Name	Data Type	Definition
external_id	String	Unique identifier for the scrape operation, prefixed with ig_scrape_
scraped_at	String (ISO 8601)	UTC timestamp indicating when the extraction was initiated
account_data.username	String	Instagram handle without the @ symbol
account_data.display_name	String	Public-facing profile name as displayed on the account
account_data.follower_count	Integer	Total number of followers at time of extraction
account_data.following_count	Integer	Total number of accounts the profile follows
account_data.post_count	Integer	Cumulative number of posts published by the account
account_data.is_verified	Boolean	Indicates whether the account has Instagram verification badge
account_data.is_private	Boolean	Indicates whether the account requires follow approval
account_data.language_code	String (ISO 639-1)	Two-letter language code of primary account content
account_data.category	String	Instagram business category classification
engagement_metrics.avg_likes_per_post	Integer	Mean like count calculated across recent posts
engagement_metrics.avg_comments_per_post	Integer	Mean comment count calculated across recent posts
engagement_metrics.engagement_rate	Float	Percentage representing (likes + comments) / followers * 100
engagement_metrics.follower_growth_rate	Float	Estimated percentage growth in followers over trailing period
profile_metadata.bio_links	Array[String]	URLs extracted from profile bio section
profile_metadata.email_hash	String	Hashed representation of contact email if publicly available
profile_metadata.location.city	String	City name extracted from profile location field
profile_metadata.location.country_code	String (ISO 3166-1)	Two-letter country code
profile_metadata.location.timezone	String	IANA timezone identifier for the profile location
content_analysis.post_frequency	Float	Average number of posts published per week
content_analysis.top_hashtags	Array[String]	Most frequently used hashtags across recent content
content_analysis.sentiment_score	Float	Normalized sentiment score ranging from -1.0 (negative) to 1.0 (positive)
content_analysis.audience_credibility	Float	Calculated score (0.0-1.0) indicating follower authenticity
last_updated	String (ISO 8601)	UTC timestamp of the most recent data refresh
version	String (Semantic)	Schema version following semver specification

Sample Dataset

Below is a sample of the high-fidelity JSON output:

{
  "external_id": "ig_scrape_789012345678901",
  "scraped_at": "2025-12-19T12:00:00Z",
  "account_data": {
    "username": "travel_enthusiast",
    "display_name": "Travel & Adventure",
    "follower_count": 45678,
    "following_count": 892,
    "post_count": 1243,
    "is_verified": true,
    "is_private": false,
    "language_code": "en",
    "category": "Travel & Tourism"
  },
  "engagement_metrics": {
    "avg_likes_per_post": 2341,
    "avg_comments_per_post": 89,
    "engagement_rate": 5.12,
    "follower_growth_rate": 2.3
  },
  "profile_metadata": {
    "bio_links": ["linktr.ee/travel_enthusiast"],
    "email_hash": "b4d8c7e2f1a9",
    "location": {
      "city": "London",
      "country_code": "GB",
      "timezone": "GMT"
    }
  },
  "content_analysis": {
    "post_frequency": 4.2,
    "top_hashtags": ["travel", "adventure", "photography"],
    "sentiment_score": 0.78,
    "audience_credibility": 0.85
  },
  "last_updated": "2025-12-19T11:55:23Z",
  "version": "2.1.0"
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	Type	Required	Description	Example
username	String	Yes	Instagram username to extract follower data from (without @ prefix)	domnique

Analytical Use Cases

Researchers and data scientists can leverage this structured dataset for:

• Audience Segmentation: Cluster followers by engagement patterns, location, and content affinity to identify high-value micro-segments for targeted campaigns
• Influencer Vetting: Validate influencer authenticity through audience credibility scores and engagement rate benchmarking against category norms
• Sentiment Analysis: Aggregate sentiment scores across follower bases to assess brand perception and content resonance
• Network Mapping: Construct follower graphs to identify community structures, opinion leaders, and cross-pollination opportunities
• Longitudinal Studies: Track follower growth trajectories, engagement decay curves, and content strategy effectiveness over time
• Competitive Intelligence: Compare engagement metrics and audience demographics across competitor accounts within the same category

Technical Limitations

Important Considerations:

• Extraction depth is limited to publicly accessible profile data; private accounts return only basic metadata (username, follower count, verification status)
• Engagement metrics are calculated from the most recent 12-50 posts depending on account activity; historical data beyond this window is not captured
• Rate limiting is enforced at 100 profiles per hour to maintain platform compliance; batch operations should implement exponential backoff
• Email hashes are only available when contact information is explicitly displayed in the bio; approximately 15-20% of profiles include this field
• Sentiment scores utilize NLP models trained on English-language content; accuracy degrades for non-Latin scripts and mixed-language posts
• Data retention policy maintains raw extraction records for 90 days; archived datasets are available upon request for compliance auditing
• Schema versioning follows semantic versioning; breaking changes increment the major version and require pipeline updates

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Keywords & Tags: instagram scraper, instagram followers scraper, instagram data extractor, instagram follower export, social media scraping tool, instagram scraping api, lead generation