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parse-flyer-metro

Extract structured grocery deal data from Metro flyer pages into JSON arrays.

1|Updated Mar 12, 2026
Search Tags:#browser automation#web scraping#price parsing#grocery deals#json extraction#weighted produce
One-click install
npx skills add https://github.com/Joresti/grocery-hack --skill parse-flyer-metro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parse-flyer-metro
Source: https://github.com/Joresti/grocery-hack/tree/main/.claude/skills/parse-flyer-metro
Command: npx skills add https://github.com/Joresti/grocery-hack --skill parse-flyer-metro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns Metro flyer product cards into clean, structured deal records with reliable prices and item metadata, removing the manual effort of copying deals out of a dynamic webpage.

Core Features & Use Cases

  • Metro flyer deal extraction: Parses Metro’s Complete Flyer grid using stable CSS selectors plus rich data-* attributes for product name, brand, category, and pricing.
  • Automated pagination via interaction: Clicks “Load More Deals” repeatedly until the flyer’s full deal set is loaded, with verification against the on-page “Found: N Deals” counter.
  • Deal schema mapping: Outputs JSON deal objects with mapped categories, unit handling for weighted items, detection of multi-buy deals, and skip rules for non-grocery or missing sale prices.
  • Drift detection for robustness: Runs selector hit-rate diagnostics before bulk extraction to avoid wasting time if Metro’s page structure changes.

Quick Start

Run parse-flyer-metro with the Metro flyer URL to return a JSON array of extracted grocery deals.

Frequently Asked Questions about parse-flyer-metro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract grocery deals from the Metro flyer into JSON?▼

Yes, weighted per-lb produce items are supported during Metro flyer extraction by reading the data-is-weighted attribute, mapping the unit handling, and including the per-lb pricing in the normalized JSON output.

How does web scraping handle the Metro flyer's 'Load More' pagination?▼

Web scraping handles Metro flyer 'Load More' pagination by automatically clicking the button repeatedly until all deals are loaded, verifying the extracted count against the on-page 'Found: N Deals' counter before outputting the JSON array.

What happens if Metro changes their flyer page structure during web scraping?▼

If Metro changes their flyer page structure, the web scraping process runs selector hit-rate diagnostics for drift detection before bulk extraction to avoid wasting time and prevent emitting incomplete or inaccurate JSON deal data.

Can I parse multi-buy grocery deals and skip non-grocery items from the Metro flyer?▼

You can parse multi-buy grocery deals from the Metro flyer by detecting specific pricing patterns, while enforced skip rules automatically filter out non-grocery items or products missing sale prices from the final JSON output.

What's the best way to automate grocery price parsing for a dynamic flyer page?▼

The best way to automate grocery price parsing on a dynamic flyer page is using browser automation to interact with pagination, extract data from stable CSS selectors, and map the results into structured JSON records.

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