Facebook Group Posts Dataset (Full History)

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Overview

This actor performs a deep extraction of Facebook group metadata, engagement metrics, and community analytics from specified group identifiers. The extraction process captures comprehensive group-level attributes including membership statistics, content activity patterns, geographic distribution, and sentiment indicators. Data integrity is maintained through ISO 8601 timestamp standardization, normalized engagement metrics, and validated geographic coordinates. The output provides a reliable foundation for longitudinal community analysis and cross-platform comparative studies.

Data Dictionary

Field Name	Data Type	Definition
group_id	String	Unique internal identifier for the Facebook group entity
external_id	String	Composite external reference key combining platform, date, and group identifier
name	String	Official display name of the Facebook group
privacy_level	String	Access control classification (PUBLIC, CLOSED, SECRET)
created_timestamp	String (ISO 8601)	UTC timestamp indicating when the group was originally created
scraped_at	String (ISO 8601)	UTC timestamp marking the exact moment of data extraction
member_count	Integer	Total number of members enrolled in the group at extraction time
post_count	Integer	Cumulative count of all posts published within the group
language_code	String	Primary language locale code (ISO 639-1 with region)
is_verified	Boolean	Indicates whether the group has official platform verification status
location.city	String	Primary city associated with the group's geographic focus
location.country	String	Country name for the group's primary geographic location
location.lat	Float	Latitude coordinate for geographic positioning
location.lng	Float	Longitude coordinate for geographic positioning
engagement_metrics.daily_active_users	Integer	Count of unique users who interacted with group content in the past 24 hours
engagement_metrics.weekly_posts	Integer	Number of posts published within the trailing 7-day period
engagement_metrics.average_comments	Float	Mean number of comments per post across recent activity
engagement_metrics.reaction_distribution.like	Integer	Total count of "Like" reactions across group content
engagement_metrics.reaction_distribution.love	Integer	Total count of "Love" reactions across group content
engagement_metrics.reaction_distribution.care	Integer	Total count of "Care" reactions across group content
topics	Array[String]	Curated list of primary subject matter tags associated with group content
rules_count	Integer	Number of community guidelines or rules established by group administrators
has_pending_posts	Boolean	Indicates whether posts are awaiting moderator approval
last_activity	String (ISO 8601)	UTC timestamp of the most recent member interaction or content publication
sentiment_score	Float	Normalized sentiment indicator ranging from -1.0 (negative) to 1.0 (positive)
admin_count	Integer	Number of users with administrative privileges in the group
content_flags	Array[String]	Categorical labels describing the nature and quality of group content

Sample Dataset

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

{
  "group_id": "g_781234567890123",
  "external_id": "grp_2025_12_fb_781234567890123",
  "name": "Data Science Professionals Network",
  "privacy_level": "CLOSED",
  "created_timestamp": "2023-03-15T08:45:22Z",
  "scraped_at": "2025-12-20T12:00:00Z",
  "member_count": 15234,
  "post_count": 4521,
  "language_code": "en_US",
  "is_verified": true,
  "location": {
    "city": "San Francisco",
    "country": "United States",
    "lat": 37.7749,
    "lng": -122.4194
  },
  "engagement_metrics": {
    "daily_active_users": 1245,
    "weekly_posts": 89,
    "average_comments": 23.5,
    "reaction_distribution": {
      "like": 8756,
      "love": 2341,
      "care": 892
    }
  },
  "topics": ["data science", "machine learning", "analytics", "python"],
  "rules_count": 8,
  "has_pending_posts": true,
  "last_activity": "2025-12-20T11:45:32Z",
  "sentiment_score": 0.78,
  "admin_count": 5,
  "content_flags": ["professional", "educational", "tech"]
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	JSON Field Name	Data Type	Required	Example Value	Description
Group ID	groupId	String	Yes	1439220986320043	Numeric identifier of the target Facebook group for extraction

Analytical Use Cases

Sentiment Analysis: Leverage the sentiment_score field in conjunction with engagement_metrics to quantify community mood and correlate emotional valence with content performance patterns.

Network Mapping: Utilize member_count, admin_count, and daily_active_users to construct hierarchical community structures and identify influence distribution across group leadership.

Longitudinal Studies: Compare created_timestamp against last_activity and weekly_posts to track community lifecycle stages, growth trajectories, and engagement decay patterns over extended observation periods.

Competitive Intelligence: Aggregate topics, content_flags, and reaction_distribution across multiple groups to benchmark content strategies, identify emerging themes, and quantify audience preference signals.

Geographic Segmentation: Parse location objects to perform spatial clustering analysis, regional engagement comparisons, and locale-specific content optimization studies.

Content Moderation Analysis: Examine has_pending_posts and rules_count relationships to assess moderation intensity and its impact on community participation rates.

Technical Limitations

Important Considerations:

• Data extraction is subject to platform rate limiting; sustained high-volume requests may result in temporary access restrictions
• The privacy_level field directly impacts data availability; CLOSED and SECRET groups may return limited metadata depending on authentication context
• Engagement metrics represent point-in-time snapshots and do not include historical trend data within a single extraction
• The sentiment_score is derived from available text content and may not reflect nuanced emotional states in multimedia-heavy groups
• Geographic coordinates in the location object represent group-declared locations and may not correspond to actual member distribution
• Reaction distribution captures only the three specified reaction types; additional reaction types are not included in this schema version
• The topics array is limited to explicitly tagged subjects and may not capture emergent or implicit thematic content
• Data retention policies may affect the availability of created_timestamp for groups established prior to 2018

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Keywords & Tags: This specification supports workflows involving group posts scraper, social media group posts, facebook group posts scraper, export group posts, group post extraction, lead generation from group posts, and collect group posts data operations for research and competitive analysis applications.