parse-flyer-foodbasics

To extract grocery flyer deals into JSON, this Skill navigates the Food Basics weekly flyer page, clicks the Load More Deals button for pagination, and pulls structured fields from product tiles to output normalized deal records.

Web scraping handles the Load More Deals button by programmatically clicking the control until all products load, ensuring complete deal coverage before extracting fields like sale price, regular price, and unit price from each tile.

Yes, you need headed Chrome with Chrome DevTools Protocol (CDP) access enabled for remote debugging to run the scraper, as it requires interacting with UI elements and navigating dynamic page loads to extract the flyer data.

The best way to normalize heterogeneous DOM text is using selector-driven extraction on product tiles, applying unit parsing and category classification heuristics to convert raw text into clean JSON deal objects with standardized prices and sizes.

Scraping fails or degrades when webpage layout changes break the expected selectors, which is why drift detection checks selector hit-rates to identify page updates and provide guidance on whether to stop or extract with degraded fields.

Yes, you can automate Food Basics deal extraction for meal planning by running this Skill on a weekly flyer URL to generate a structured JSON list of products, prices, and units that feeds directly into shopping list generation.