identify-page-structure

To identify section boundaries in a scraped webpage, apply a two-level analysis to the screenshot and cleaned HTML to detect top-level sections and map their internal content sequences. This generates neutral, section-by-section structural outlines for authoring decisions.

Webpage structure decomposition is the process of locating section boundaries and analyzing the content sequences within each section. You need it when planning content blocks and authoring decisions for scraped webpage outputs like screenshots and cleaned HTML.

You outline sections by analyzing cleaned HTML, screenshots, and metadata together to locate structural boundaries and sequences. This produces a structured outline detailing the hierarchical layout to guide subsequent page-import and decomposition steps.

Yes, you can use this page structure identification approach for block inventory workflows. It is specifically designed to integrate with the page-import, page-decomposition, and block-inventory workflows in the SAS Edge Delivery workflow.

You need a scraped webpage package containing screenshot.png, cleaned.html, and metadata.json. These inputs provide the visual layout, structural markup, and contextual data required to detect section boundaries and map internal content flow.