Twitter (X) Community Members Dataset (Full History) cookieless

"# Twitter (X.com) Community Members Dataset (Full History) cookieless

Overview

This actor performs a deep extraction of member profiles, engagement metrics, and historical activity data from Twitter (X.com) Communities. The extraction process retrieves comprehensive member information including identity attributes, location data, engagement statistics, and reputation indicators. The dataset maintains high data integrity through structured validation and timestamp-based versioning, ensuring reliable downstream analysis for network mapping, lead qualification, and community intelligence applications.

Data Dictionary

Field Name	Data Type	Definition
member_id	String	Unique internal identifier assigned to each community member
external_id	String	UUID-format external reference identifier for cross-platform tracking
scraped_at	String (ISO 8601)	Timestamp indicating when the member record was extracted from the platform
first_name	String	Member's given name as displayed in their profile
last_name	String	Member's family name as displayed in their profile
display_name	String	Public-facing username or handle used within the community
join_date	String (ISO 8601 Date)	Date when the member first joined the community
is_verified	Boolean	Indicates whether the member account has platform verification status
is_active	Boolean	Flag indicating current activity status within the community
language_code	String	ISO language code representing the member's primary interface language
role	String	Member's assigned role or permission level within the community
trust_score	Float	Normalized score (0-1) representing member trustworthiness based on platform signals
location.city	String	City name from member's declared location
location.state	String	State or province code from member's declared location
location.country	String	Country name or ISO code from member's declared location
location.coordinates.latitude	Float	Geographic latitude coordinate of member's location
location.coordinates.longitude	Float	Geographic longitude coordinate of member's location
engagement_metrics.posts_count	Integer	Total number of original posts created by the member
engagement_metrics.replies_count	Integer	Total number of replies or comments made by the member
engagement_metrics.helpful_votes	Integer	Cumulative count of helpful/upvote reactions received
engagement_metrics.monthly_active_days	Integer	Number of days the member was active in the current month
badges	Array[String]	List of achievement badges or recognition tags earned by the member
expertise_areas	Array[String]	Tagged subject matter domains where the member demonstrates expertise
last_activity	String (ISO 8601)	Timestamp of the member's most recent platform interaction
reputation_score	Float	Aggregate reputation rating (typically 0-5 scale) based on community feedback

Sample Dataset

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

{
  ""member_id"": ""CM789456123"",
  ""external_id"": ""a7b9c2d4-e6f8-4321-9876-543210fedcba"",
  ""scraped_at"": ""2025-12-21T12:00:00Z"",
  ""first_name"": ""Sarah"",
  ""last_name"": ""Chen"",
  ""display_name"": ""SarahC_Community"",
  ""join_date"": ""2024-03-15"",
  ""is_verified"": true,
  ""is_active"": true,
  ""language_code"": ""en-US"",
  ""role"": ""contributor"",
  ""trust_score"": 0.89,
  ""location"": {
    ""city"": ""Austin"",
    ""state"": ""TX"",
    ""country"": ""USA"",
    ""coordinates"": {
      ""latitude"": 30.2672,
      ""longitude"": -97.7431
    }
  },
  ""engagement_metrics"": {
    ""posts_count"": 127,
    ""replies_count"": 892,
    ""helpful_votes"": 1543,
    ""monthly_active_days"": 24
  },
  ""badges"": [""top_contributor"", ""subject_expert"", ""mentor""],
  ""expertise_areas"": [""data_science"", ""machine_learning"", ""python""],
  ""last_activity"": ""2025-12-20T18:45:23Z"",
  ""reputation_score"": 4.8
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	JSON Field Name	Data Type	Required	Example Value	Description
Community ID	communityid	String	Yes	""1506779564160258059""	Unique Twitter Community identifier used to target member extraction

Analytical Use Cases

Researchers and data scientists can leverage this dataset for multiple analytical workflows:

• Network Mapping: Construct social graphs based on member attributes, engagement patterns, and expertise clustering to identify key influencers and community structure
• Lead Generation & Qualification: Filter high-engagement members with specific expertise areas and location criteria to build targeted outreach lists for business development
• Sentiment Analysis: Correlate reputation scores and engagement metrics with temporal patterns to assess community health and member satisfaction trends
• Longitudinal Studies: Track member lifecycle progression from join_date through engagement evolution to model retention patterns and identify churn risk factors
• Geographic Intelligence: Aggregate location data to map community distribution, identify regional clusters, and optimize localized engagement strategies
• Expertise Profiling: Analyze badge accumulation and expertise_areas to segment members for content personalization and targeted knowledge-sharing initiatives

Technical Limitations

Important Considerations:

• Rate Limiting: Extraction throughput is subject to platform API rate limits; large communities (>10,000 members) may require batched execution with delays between requests
• Data Freshness: Member activity metrics reflect point-in-time snapshots; last_activity timestamps may lag real-time by 5-15 minutes depending on platform caching
• Location Accuracy: Geographic coordinates are derived from user-declared locations and may not represent actual physical presence; approximately 30-40% of members provide incomplete location data
• Historical Depth: Full history extraction is limited to publicly accessible data; private or deleted content is not retrievable
• Verification Status: is_verified reflects platform verification at time of extraction and does not guarantee identity authenticity
• Cookieless Operation: This extraction method operates without authentication cookies, limiting access to public-only member information; private community data requires authenticated access
• Schema Stability: Field availability may vary based on member privacy settings; null values should be expected for optional fields

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Keywords & Tags: community member scraper, group member extractor, scrape community members, export group members, social media member data, audience data extraction, lead generation from communities"