Instagram User Info Extractor (Rich Metadata) ## Overview This actor performs a deep extraction of Instagram user profile data, capturing comprehensive metadata across identity, engagement, content, and behavioral dimensions. The extraction pipeline prioritizes data integrity through structured validation and timestamp-based provenance tracking. Output conforms to a normalized schema optimized for analytical workflows, ensuring consistency across large-scale data collection operations. ## Data Dictionary | Field Name | Data Type | Definition | |-----------|-----------|------------| | user_id | String | Platform-assigned unique identifier for the Instagram account | | username | String | Public handle used for account identification and URL routing | | external_id | String | System-generated external reference ID for cross-platform tracking | | scraped_at | String (ISO 8601) | UTC timestamp indicating exact moment of data extraction | | display_name | String | User-defined profile name displayed on the account page | | is_verified | Boolean | Verification status indicating platform-authenticated account (blue checkmark) | | is_private | Boolean | Privacy setting indicating whether account content requires follow approval | | language_code | String | ISO language-region code representing primary account language | | follower_count | Integer | Total number of accounts following this user at extraction time | | following_count | Integer | Total number of accounts this user follows at extraction time | | post_count | Integer | Cumulative number of posts published by the account | | engagement_metrics.avg_likes | Integer | Mean number of likes per post calculated across recent content | | engagement_metrics.avg_comments | Integer | Mean number of comments per post calculated across recent content | | engagement_metrics.engagement_rate | Float | Percentage representing (likes + comments) / followers * 100 | | engagement_metrics.reach_estimate | Integer | Estimated unique accounts reached per post based on engagement patterns | | profile_metadata.business_category | String | Instagram-defined business vertical classification | | profile_metadata.account_type | String | Account classification (PERSONAL, CREATOR, BUSINESS) | | profile_metadata.joined_date | String (ISO 8601 Date) | Date when the account was created on Instagram | | profile_metadata.last_post_timestamp | String (ISO 8601) | UTC timestamp of the most recent content publication | | location_data.country_code | String | ISO 3166-1 alpha-2 country code derived from profile location | | location_data.city | String | City name extracted from profile location metadata | | location_data.timezone | String | IANA timezone identifier associated with account location | | content_analysis.primary_topics | Array[String] | Machine-extracted topic tags representing dominant content themes | | content_analysis.sentiment_score | Float | Normalized sentiment score (0.0-1.0) derived from caption analysis | | content_analysis.authenticity_score | Float | Computed authenticity metric (0.0-1.0) based on engagement patterns and follower quality | ## Sample Dataset Below is a sample of the high-fidelity JSON output: json { "user_id": "839275610384", "username": "tech_influencer_92", "external_id": "inst_usr_8392756103840001", "scraped_at": "2025-12-19T15:22:31Z", "display_name": "Tech Insights Daily", "is_verified": true, "is_private": false, "language_code": "en_US", "follower_count": 245631, "following_count": 892, "post_count": 1432, "engagement_metrics": { "avg_likes": 15234, "avg_comments": 342, "engagement_rate": 6.2, "reach_estimate": 89000 }, "profile_metadata": { "business_category": "TECHNOLOGY", "account_type": "CREATOR", "joined_date": "2019-03-15", "last_post_timestamp": "2025-12-18T22:15:43Z" }, "location_data": { "country_code": "US", "city": "San Francisco", "timezone": "America/Los_Angeles" }, "content_analysis": { "primary_topics": ["tech", "programming", "ai"], "sentiment_score": 0.87, "authenticity_score": 0.92 } } ## Configuration Parameters To ensure optimal data depth, configure the following: | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | username | String | Yes | Instagram username (handle) to extract profile data from. Exclude @ symbol. | domnique | ## Analytical Use Cases Competitive Intelligence: Benchmark engagement metrics and content strategies across competitor accounts to identify performance gaps and opportunities. Audience Segmentation: Cluster user profiles by engagement patterns, content topics, and demographic signals for targeted campaign development. Influencer Vetting: Assess authenticity scores and engagement rates to identify high-quality partnership candidates and detect fraudulent accounts. Sentiment Analysis: Track sentiment trends over time to measure brand perception and content resonance within specific audience segments. Network Mapping: Construct follower-following graphs to identify community structures, key opinion leaders, and information diffusion pathways. Longitudinal Studies: Monitor profile evolution metrics (follower growth, engagement shifts, content topic drift) to understand platform dynamics and user behavior patterns. Lead Generation: Export verified business accounts with specific engagement thresholds and location criteria for B2B prospecting workflows. ## Technical Limitations Important Considerations: - Extraction accuracy depends on account privacy settings; private accounts return limited metadata fields only. - Engagement metrics represent point-in-time snapshots and may not reflect historical performance trends. - Content analysis fields (sentiment, authenticity, topics) are derived metrics subject to model confidence thresholds. - Rate limiting applies at 100 profile extractions per hour to maintain platform compliance. - Data retention window is 90 days; historical extractions beyond this period are not guaranteed. - Follower/following counts may experience ±2% variance due to platform caching mechanisms. - Location data availability depends on user-provided profile information; null values are common. - Business category and account type classifications reflect Instagram's taxonomy at extraction time and may change. --- Keywords & Tags: This specification supports workflows involving instagram scraper, instagram profile scraper, instagram user data, instagram data export, export instagram followers, lead generation instagram, and instagram user data extraction for research and analytical applications.