identify-page-structure

To analyze scraped webpage content for AEM Edge Delivery Services, you identify section boundaries and content sequences using visual cues from screenshots and HTML. This two-level hierarchical analysis breaks down the page into logical sections and maps the content flow within each.

Identifying webpage sections from scraped HTML requires a two-level analysis: first detecting distinct visual sections, then analyzing the content sequences within them. This approach also surveys available content blocks to inform subsequent authoring and design decisions.

Yes, you can use webpage structure analysis to replicate a competitor's layout and information architecture. By identifying section boundaries and content sequences, you can understand the page's design structure and adapt it for your own content management import.

This content sequencing analysis uses both a webpage screenshot and the HTML to identify section boundaries accurately. The visual cues from the screenshot complement the HTML structure to effectively map sections and content flow for authoring decisions.

The main limitation of automated section identification is its reliance on visual cues and HTML structure to detect content sequences. If the scraped webpage lacks clear visual boundaries or uses ambiguous markup, the hierarchical section mapping may require manual adjustment.