Facebook People Extractor - Deep Extract cookieless

"# Facebook People Extractor - Deep Extract cookieless

Overview

This actor performs a deep extraction of professional profile data from social networks without requiring authentication cookies. The extractor executes systematic queries against public-facing profile endpoints and returns structured JSON records containing demographic, location, contact, and engagement metadata. Designed for high-volume lead generation workflows, this tool prioritizes data integrity through confidence scoring, verification timestamps, and completeness metrics. All extracted records include provenance fields (scraped_at, source_platform) to support audit trails and data lineage tracking.

Data Dictionary

Field Name	Data Type	Definition
search_id	String	Unique identifier for the search operation that generated this record
query_timestamp	String (ISO 8601)	UTC timestamp indicating when the search query was executed
external_id	String	Platform-specific unique identifier for the extracted profile
person.full_name	String	Complete legal or display name of the profile owner
person.display_name	String	Username or handle used for public identification
person.age	Integer	Reported or inferred age of the profile owner in years
person.occupation	String	Current job title or professional role
person.is_verified	Boolean	Indicates whether the account has platform verification (e.g., blue check)
location.city	String	Primary city of residence or business location
location.state	String	State or province code (ISO 3166-2 format)
location.country	String	Two-letter country code (ISO 3166-1 alpha-2)
location.coordinates.latitude	Float	Geographic latitude coordinate (WGS84 datum)
location.coordinates.longitude	Float	Geographic longitude coordinate (WGS84 datum)
contact_info.email_hash	String	Hashed representation of email address for privacy compliance
contact_info.phone_prefix	String	International dialing prefix (E.164 format)
contact_info.area_code	String	Regional telephone area code
metadata.language_code	String	Primary language setting (IETF BCP 47 format)
metadata.profile_completeness	Float	Ratio (0.0-1.0) indicating percentage of populated profile fields
metadata.last_active	String (ISO 8601)	UTC timestamp of most recent platform activity
metadata.account_type	String	Classification of account tier (e.g., professional, personal, business)
metadata.trust_score	Float	Algorithmic confidence metric (0.0-1.0) for profile authenticity
metadata.verification_date	String (ISO 8601)	Date when account verification was granted
engagement_metrics.connection_count	Integer	Total number of connections, followers, or network members
engagement_metrics.endorsements	Integer	Count of skill endorsements or recommendations received
engagement_metrics.profile_views	Integer	Cumulative profile view count (platform-dependent availability)
scraped_at	String (ISO 8601)	UTC timestamp when data extraction occurred
source_platform	String	Identifier for the originating social network or professional platform
confidence_score	Float	Overall data quality score (0.0-1.0) based on field completeness and validation
is_active	Boolean	Indicates whether the profile is currently active and publicly accessible
last_updated	String (ISO 8601)	UTC timestamp of the most recent data refresh for this record

Sample Dataset

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

{
  ""search_id"": ""sr_98765432198765"",
  ""query_timestamp"": ""2025-12-20T08:15:23Z"",
  ""external_id"": ""ppl_7d9f8b3a4c2e1d5f"",
  ""person"": {
    ""full_name"": ""Sarah J. Anderson"",
    ""display_name"": ""sarah.anderson"",
    ""age"": 34,
    ""occupation"": ""Software Engineer"",
    ""is_verified"": true
  },
  ""location"": {
    ""city"": ""Boston"",
    ""state"": ""MA"",
    ""country"": ""US"",
    ""coordinates"": {
      ""latitude"": 42.3601,
      ""longitude"": -71.0589
    }
  },
  ""contact_info"": {
    ""email_hash"": ""8f42a3b1c9d0e5f6"",
    ""phone_prefix"": ""+1"",
    ""area_code"": ""617""
  },
  ""metadata"": {
    ""language_code"": ""en-US"",
    ""profile_completeness"": 0.85,
    ""last_active"": ""2025-12-19T22:45:12Z"",
    ""account_type"": ""professional"",
    ""trust_score"": 0.92,
    ""verification_date"": ""2024-03-15""
  },
  ""engagement_metrics"": {
    ""connection_count"": 842,
    ""endorsements"": 156,
    ""profile_views"": 1234
  },
  ""scraped_at"": ""2025-12-20T08:15:23Z"",
  ""source_platform"": ""professional_network"",
  ""confidence_score"": 0.95,
  ""is_active"": true,
  ""last_updated"": ""2025-12-20T08:15:23Z""
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	JSON Field Name	Data Type	Description	Example Value
Search Query	query	String	Keyword, job title, company name, or skill term used to filter profile results	insights

Analytical Use Cases

Lead Scoring & Qualification: Data scientists can construct multi-dimensional scoring models using trust_score, profile_completeness, and engagement_metrics to rank prospects by conversion probability. The verification_date and is_verified fields enable temporal analysis of account maturity.

Geographic Market Segmentation: Leverage location.coordinates for spatial clustering algorithms (DBSCAN, K-means) to identify regional prospect density. Combine with metadata.language_code for localization strategy development.

Network Graph Analysis: Utilize engagement_metrics.connection_count as edge weights in social network graphs. Cross-reference external_id values across multiple extractions to map professional relationship networks and identify key influencers.

Temporal Activity Profiling: Time-series analysis of metadata.last_active patterns enables identification of optimal outreach windows. Longitudinal tracking of profile_completeness changes signals career transitions or increased platform engagement.

Data Quality Auditing: The confidence_score field supports automated data validation pipelines. Records below threshold values can be flagged for manual review or excluded from downstream CRM ingestion.

Technical Limitations

Rate Limiting: Extraction throughput is constrained to 120 requests per minute per IP address. Exceeding this threshold triggers exponential backoff with retry delays ranging from 30-300 seconds.

Data Freshness: Profile data reflects point-in-time snapshots at scraped_at timestamp. Real-time updates are not supported; minimum refresh interval is 24 hours per unique external_id.

Field Availability: Not all fields populate for every profile. contact_info fields depend on user privacy settings and may return null values. engagement_metrics.profile_views is platform-dependent and unavailable on certain networks.

Geographic Precision: location.coordinates accuracy varies by user-provided data. Coordinates represent city centroids when exact addresses are unavailable, with typical precision of ±5km.

Historical Data Retention: Extracted records are retained for 90 days in the actor's result storage. For long-term archival, export to external data warehouses within this window.

Cookieless Constraints: Operating without authentication limits access to public profiles only. Private or restricted accounts return null records with is_active: false flags.

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Keywords & Tags: This professional profile scraping tool serves as a comprehensive people search scraper and lead generation scraper, enabling sales teams to export profiles at scale. The social media scraper architecture functions as both a profile data extractor and people finder tool, delivering structured datasets optimized for CRM integration and prospecting workflows."