identify-page-structure

Detect page structure by performing a two-level analysis on scraped webpage outputs like screenshots and cleaned HTML. It identifies top-level sections first, then maps the content sequences within each section to produce neutral structural descriptions.

Mapping content sequences is best handled by analyzing scraped outputs sequentially. The process identifies top-level sections first, then detects the specific content sequences inside each section without assuming block types.

Yes, page structure detection works with cleaned HTML, screenshots, and metadata from scraped webpages. It analyzes these inputs to enumerate section boundaries and sequence descriptions for downstream authoring workflows.

Prepare scraped webpage data for an authoring workflow by running a two-level structure detection that outputs neutral section and sequence descriptions, deferring block decisions to the available library and downstream skills.

Yes, you can analyze page structure without naming content blocks. The analysis produces neutral section and sequence descriptions, intentionally deferring block decisions and naming to the available block inventory and downstream tools.

A web scraping workflow needs a separate section detection step to accurately separate top-level section boundaries from internal content sequences. This two-level approach ensures structural mapping remains neutral before committing to specific block inventory decisions.