parse-flyer-nofrills-print

You extract No Frills print-flyer deals by parsing product tiles using data-testid DOM selectors for product-title, sale-price, and package-size, then normalizing the extracted prices into structured JSON records.

Web scraping handles lazy-loaded flyer items by repeatedly scrolling the page to trigger content loading and applying drift checks to stop early if the DOM container or selector hit rates change unexpectedly.

Yes, you need headed Chrome with remote debugging to automate DOM parsing for flyer deals, as it enables the CDP automation required to interact with the webpage and trigger the scroll-based lazy-loading mechanism.

Normalizing sale prices and package sizes into JSON output produces clean fields including item_name, product_type, category, sale_price, regular_price, unit, and deal_conditions, while skipping non-sale and non-grocery items.

Web scraping fails to extract product tiles from grocery flyer pages when DOM selectors experience drift, which is why the process includes operational guardrails that validate selector hit rates and container checks before outputting the final JSON array.