Purpose of Collection Methodology
This page explains how the Cairo residential listings dataset is assembled from platform-visible sources. The objective is to clarify the mechanics of data collection so that the dataset is understood as a curated visibility layer rather than a comprehensive or authoritative record of residential housing.
The methodology focuses on how information is gathered, not on what conclusions can be drawn from it.
Source-Level Extraction
The dataset is constructed through systematic extraction of residential listings that are publicly visible on connected platforms at a specific point in time. Only listings that meet platform visibility criteria at the moment of collection are included.
This approach inherently limits coverage to properties that are actively published and accessible, excluding off-platform, private, or unpublished offerings.
Snapshot-Based Assembly
Collection occurs as a snapshot rather than a continuous feed. Listings are captured as they appear during the extraction window, without tracking prior states, future changes, or duration of availability.
As a result, the dataset reflects momentary exposure rather than sustained presence or activity.
Dependence on Platform Structures
Collected data inherits the structure, fields, and categorization schemes defined by source platforms. Attribute availability, naming conventions, and geographic labels are not standardized beyond what platforms expose.
The collection process does not validate, enrich, or correct platform-defined information.
Collection Boundaries and Implications
The methodology does not aim to achieve completeness, balance, or representativeness. Absence of a listing reflects lack of visibility at the time of collection, not absence of housing.
This page establishes collection as a constrained technical process that defines what enters the dataset and, by extension, what remains outside its scope.