Facebook Page Search Results Extractor (Rich Metadata) cookieless

Overview

This actor performs a deep extraction of Facebook page search results, capturing comprehensive metadata including engagement metrics, audience demographics, and content quality indicators. The extraction operates in a cookieless environment, ensuring compliance with privacy standards while maintaining high data integrity. Each record is timestamped and assigned a unique external identifier for reliable deduplication and longitudinal tracking across data pipelines.

Data Dictionary

Field Name	Data Type	Definition
page_id	String	Unique Facebook-assigned identifier for the page entity
external_id	String	Composite identifier combining platform prefix, page ID, and extraction timestamp for cross-system tracking
name	String	Display name of the Facebook page as shown to users
username	String	URL-safe handle used in the page's vanity URL (facebook.com/username)
category	String	Primary business or content category assigned to the page
scraped_at	String (ISO 8601)	UTC timestamp indicating when the extraction occurred
is_verified	Boolean	Indicates whether the page has received official verification status (blue badge)
language_code	String	ISO 639-1 language code with regional variant (e.g., en_US) representing primary page language
follower_count	Integer	Total number of users following the page at time of extraction
location.city	String	City name where the page entity is physically located or registered
location.state	String	State or province code for the page's registered location
location.country	String	Country name for the page's primary geographic location
location.lat	Float	Latitude coordinate for the page's registered address
location.lng	Float	Longitude coordinate for the page's registered address
engagement_metrics.total_likes	Integer	Cumulative count of likes received across all page content
engagement_metrics.total_shares	Integer	Cumulative count of shares across all page posts
engagement_metrics.avg_post_reach	Integer	Mean number of unique users reached per post over the measurement period
engagement_metrics.weekly_engagement_rate	Float	Percentage representing (interactions / impressions) × 100 for the trailing 7-day period
page_insights.post_frequency	Float	Average number of posts published per day over the measurement window
page_insights.peak_activity_hour	Integer	Hour of day (0-23, UTC) when the page demonstrates highest posting activity
page_insights.audience_demographics.age_25_34	Integer	Percentage of audience within the 25-34 age bracket
page_insights.audience_demographics.age_35_44	Integer	Percentage of audience within the 35-44 age bracket
page_insights.audience_demographics.age_other	Integer	Percentage of audience outside the specified age brackets
sentiment_score	Float	Normalized sentiment score (-1.0 to 1.0) derived from recent post content and comments
last_post_timestamp	String (ISO 8601)	UTC timestamp of the most recent post published by the page
website_url	String	External website URL associated with the page profile
verification_date	String (ISO 8601)	Date when the page received official verification status (null if unverified)
content_quality_score	Float	Proprietary metric (0.0 to 1.0) assessing content originality, engagement, and consistency

Sample Dataset

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

{
  "page_id": "157893428901234",
  "external_id": "fb_p_157893428901234_20251220",
  "name": "Tech Innovations Daily",
  "username": "techinnovdaily",
  "category": "Technology Company",
  "scraped_at": "2025-12-20T12:00:00Z",
  "is_verified": true,
  "language_code": "en_US",
  "follower_count": 234567,
  "location": {
    "city": "San Francisco",
    "state": "CA",
    "country": "United States",
    "lat": 37.7749,
    "lng": -122.4194
  },
  "engagement_metrics": {
    "total_likes": 892345,
    "total_shares": 45678,
    "avg_post_reach": 50000,
    "weekly_engagement_rate": 4.2
  },
  "page_insights": {
    "post_frequency": 3.5,
    "peak_activity_hour": 14,
    "audience_demographics": {
      "age_25_34": 45,
      "age_35_44": 30,
      "age_other": 25
    }
  },
  "sentiment_score": 0.78,
  "last_post_timestamp": "2025-12-20T10:15:00Z",
  "website_url": "https://techinnovdaily.com",
  "verification_date": "2023-03-15T00:00:00Z",
  "content_quality_score": 0.92
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	JSON Field Name	Data Type	Description	Example Value
Search Query	query	String	Keyword or search term used to filter Facebook page results	trending

Analytical Use Cases

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

• Lead Scoring & Segmentation: Combine follower_count, engagement_metrics.weekly_engagement_rate, and content_quality_score to build predictive models for lead prioritization in B2B marketing campaigns.
• Competitive Intelligence: Track post_frequency, peak_activity_hour, and sentiment_score across competitor pages to identify content strategy gaps and optimal posting windows.
• Audience Profiling: Utilize audience_demographics and location fields to construct geographic and demographic heat maps for targeted advertising campaigns.
• Longitudinal Trend Analysis: Time-series analysis using scraped_at and last_post_timestamp enables detection of page growth patterns, engagement decay, and seasonal content performance.
• Network Mapping: Aggregate category and location data to visualize industry clusters and regional market penetration for strategic planning.
• Sentiment Monitoring: Continuous tracking of sentiment_score provides early warning signals for brand reputation management and crisis response.

Technical Limitations

Important Considerations:

• Rate Limiting: Extraction throughput is constrained to 100 pages per minute to prevent platform-level throttling. Bulk operations exceeding 10,000 pages require batch scheduling.
• Data Freshness: engagement_metrics and page_insights reflect a 7-day trailing window. Real-time metrics are not available due to platform aggregation delays.
• Geographic Accuracy: location coordinates are derived from page-declared addresses and may not reflect actual operational headquarters for distributed organizations.
• Demographic Sampling: audience_demographics percentages are estimated from available public signals and may not represent the complete follower base for privacy-restricted pages.
• Verification Status: is_verified reflects status at extraction time; historical verification changes are not tracked retroactively.
• Content Quality Scoring: content_quality_score is a derived metric based on engagement patterns and may not correlate with subjective content assessments.
• Data Retention: Extracted records should be re-scraped every 30 days to maintain accuracy, as page metadata and metrics exhibit high volatility.

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Keywords & Tags: facebook page scraper, facebook search results scraper, facebook data extractor, export facebook page data, scrape facebook pages, facebook lead generation data, social media scraping tool