extract-table-pagination

To extract HTML table data across pages, the skill walks paginated views by following a next control until no more rows appear or a max_pages limit is reached. It outputs a list of row dictionaries keyed by header cells.

Scraping structured data from a paginated table is best handled by deterministic browser actions like wait_for_selector and extract_table, which accumulate rows across pages into dictionaries ready for downstream processing.

Yes, you can use browser automation to collect table rows from a dynamic website. The skill uses wait_for_dom_ready and click actions to handle dynamic loading and navigate pagination controls reliably.

Table data extraction handles pagination limits by walking pages until the extracted rows stop growing or a configurable max_pages limit is reached, ensuring the collection process terminates predictably.

No external dependencies are needed to extract structured data from web tables. The skill operates independently using built-in browser-automation actions to wait, extract, and click through table pages.

Your paginated table extraction stops before collecting all rows if the max_pages limit is reached or if clicking the next control no longer produces additional rows on the page.