Facebook Pages Posts Extractor (Rich Metadata)cookieless

"# Facebook Pages Posts Extractor (Rich Metadata)cookieless

Overview

This actor performs a deep extraction of Facebook Pages post data, capturing comprehensive metadata including engagement metrics, media attributes, targeting parameters, and call-to-action elements. The extractor operates in a cookieless environment, ensuring reliable data collection without authentication dependencies. Output data maintains high fidelity with structured schema validation, providing data scientists with consistent field types and complete nested object hierarchies for downstream analytical workflows.

Data Dictionary

Field Name	Data Type	Definition
post_id	String	Unique identifier for the Facebook post in platform-native format
external_id	String	Secondary identifier used for cross-platform tracking and deduplication
scraped_at	String (ISO 8601)	UTC timestamp indicating when the data extraction occurred
post_type	String	Classification of post format (e.g., status_update, photo, video, link, event)
content	String	Raw text content of the post, including body copy and captions
url	String	Canonical URL pointing to the post on Facebook's platform
language_code	String	ISO 639-1 language code with regional variant (e.g., en_US, es_MX)
is_verified	Boolean	Indicates whether the posting page has official verification status
sentiment_score	Float	Computed sentiment polarity ranging from -1.0 (negative) to 1.0 (positive)
privacy_setting	String	Visibility level of the post (public, friends, custom, private)
page_info.page_id	String	Unique identifier for the Facebook Page that published the post
page_info.name	String	Display name of the Facebook Page
page_info.category	String	Business or content category assigned to the Page
page_info.follower_count	Integer	Total number of followers/likes for the Page at time of scraping
engagement_metrics.reactions	Integer	Aggregate count of all reaction types (Like, Love, Haha, Wow, Sad, Angry)
engagement_metrics.comments	Integer	Total number of top-level comments on the post
engagement_metrics.shares	Integer	Count of times the post was shared to timelines or other destinations
engagement_metrics.reach	Integer	Estimated number of unique users who viewed the post
media.has_media	Boolean	Indicates presence of attached media assets (images, videos, documents)
media.type	String	Primary media type classification (image, video, album, document, none)
media.count	Integer	Number of media items attached to the post
media.dimensions.width	Integer	Width in pixels of the primary media asset
media.dimensions.height	Integer	Height in pixels of the primary media asset
targeting.location	Array[String]	ISO country codes representing geographic targeting parameters
targeting.age_range	String	Age demographic range targeted by the post (e.g., 18-24, 25-34, 18-65+)
targeting.demographics	String	Additional demographic targeting criteria (all, custom, specific segments)
cta_data.has_cta	Boolean	Indicates presence of a call-to-action button on the post
cta_data.button_type	String	Type of CTA button (learn_more, shop_now, sign_up, contact_us, etc.)
cta_data.destination_url	String	Target URL where the CTA button redirects users

Sample Dataset

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

{
  ""post_id"": ""page_post_789012345678901"",
  ""external_id"": ""fb_p_2025122001_xyz789"",
  ""scraped_at"": ""2025-12-20T08:15:32Z"",
  ""post_type"": ""status_update"",
  ""content"": ""Exciting developments in our Q4 roadmap!"",
  ""url"": ""https://facebook.com/pages/posts/789012345678901"",
  ""language_code"": ""en_US"",
  ""is_verified"": true,
  ""sentiment_score"": 0.78,
  ""privacy_setting"": ""public"",
  ""page_info"": {
    ""page_id"": ""156789012345"",
    ""name"": ""Tech Solutions Inc"",
    ""category"": ""Technology Company"",
    ""follower_count"": 45678
  },
  ""engagement_metrics"": {
    ""reactions"": 1234,
    ""comments"": 89,
    ""shares"": 156,
    ""reach"": 12567
  },
  ""media"": {
    ""has_media"": true,
    ""type"": ""image"",
    ""count"": 2,
    ""dimensions"": {
      ""width"": 1200,
      ""height"": 630
    }
  },
  ""targeting"": {
    ""location"": [""US"", ""UK"", ""CA""],
    ""age_range"": ""18-65+"",
    ""demographics"": ""all""
  },
  ""cta_data"": {
    ""has_cta"": true,
    ""button_type"": ""learn_more"",
    ""destination_url"": ""https://techsolutions.com/roadmap""
  }
}

Configuration Parameters

To ensure optimal data depth, configure the following:

Parameter	JSON Field Name	Data Type	Description	Example Value
Page ID	pageId	String	Numeric identifier of the Facebook Page from which to extract posts. Located in the Page's URL or About section.	61553294532484

Analytical Use Cases

Engagement Pattern Analysis: Data scientists can construct time-series models using scraped_at, engagement_metrics, and post_type to identify optimal posting schedules and content formats that maximize reach and interaction rates.

Sentiment Correlation Studies: The sentiment_score field enables correlation analysis between emotional tone and engagement performance, supporting A/B testing hypotheses for content optimization strategies.

Competitive Intelligence: By extracting posts from multiple Pages within the same page_info.category, analysts can benchmark engagement metrics, content strategies, and CTA effectiveness across industry competitors.

Viral Content Identification: Threshold-based filtering on engagement_metrics.shares and engagement_metrics.reach ratios enables identification of viral content patterns for replication in future campaigns.

Media Performance Attribution: The media object structure supports multivariate analysis of how media type, count, and dimensions impact engagement outcomes across different audience segments.

Geographic Targeting Optimization: The targeting.location array facilitates cohort analysis to determine which geographic markets demonstrate highest engagement rates for specific content types.

Longitudinal Content Strategy Studies: Consistent schema structure across extraction runs enables panel data analysis tracking how Page strategy evolution (measured through post_type, cta_data, and content themes) correlates with follower growth and engagement trends over extended time periods.

Technical Limitations

Important Considerations:

• Rate Limiting: Extraction throughput is subject to platform-imposed rate limits. Recommended batch size is 100 posts per execution to maintain stability.
• Data Freshness: Engagement metrics (reactions, comments, shares, reach) represent point-in-time snapshots and do not update retroactively. Historical engagement growth requires multiple extraction runs.
• Cookieless Constraints: Operating without authentication limits access to public posts only. Private or restricted content will not appear in extraction results.
• Sentiment Score Methodology: The sentiment_score is computed using lexicon-based analysis and may not capture context-dependent sentiment nuances or sarcasm.
• Media Dimension Availability: The media.dimensions object may return null values for certain media types (videos, documents) where dimensional metadata is not exposed.
• Reach Metric Accuracy: The reach value is an estimated metric and may not reflect exact unique user counts due to platform calculation methodologies.
• Historical Data Retention: Facebook Pages typically expose the most recent 100-500 posts via public interfaces. Comprehensive historical archives may require incremental extraction strategies.
• Targeting Data Completeness: The targeting object reflects advertised targeting parameters when available; organic posts may return default values (""all"", null arrays).

---

Keywords & Tags: This web scraper functions as a specialized web scraping tool designed to extract data from web pages, specifically engineered to scrape website data from Facebook Pages. As a social media post scraper and blog post scraper, it serves content analysts and functions as a lead generation scraper for competitive intelligence workflows."