Structured data extraction

Facebook Page Scraper

A Python package for extracting structured public page information without a WebDriver or API key.

01

Context

Public business-page data is useful for permitted research and data workflows, but the page structure can change and fields are not uniformly present.

02

What was built

A Python client that normalizes page identity, profile, audience, business, contact, service, and rating fields into a usable result.

03

The hard part

Source structures change and optional data disappears. The package handles missing nested values and documents responsible, policy-compliant use.

04

System behavior

  1. 01Accept a Facebook page URL or username.
  2. 02Request and parse the available public page data.
  3. 03Normalize optional fields into a consistent structure.
  4. 04Return a Python object ready for a wider workflow.
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