parse-flyer-walmart

Parse Walmart Canada flyer deals via the Flipp API into normalized JSON records.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/Joresti/grocery-hack --skill parse-flyer-walmart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parse-flyer-walmart
Source: https://github.com/Joresti/grocery-hack/tree/main/.claude/skills/parse-flyer-walmart
Command: npx skills add https://github.com/Joresti/grocery-hack --skill parse-flyer-walmart

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Walmart flyer deal extraction turns hard-to-scrape flyer content into structured grocery deals you can plug into meal planning and shopping list generation.

Core Features & Use Cases

  • Flipp API extraction (no browser): Fetches the Walmart Canada flyer data directly from backflipp.wishabi.com, avoiding CAPTCHA/iframe scraping.
  • Deal normalization: Produces JSON deal records with category/product_type heuristics and computed regular_price when discounts exist.
  • Guardrails via drift detection: Runs pre-scrape and post-scrape checks to catch API breakage or partial/invalid responses before continuing.

Quick Start

Use this skill to parse the Walmart Canada weekly flyer deals for your area by providing the flyer URL context, then let it output a JSON array of extracted grocery deals.

Frequently Asked Questions about parse-flyer-walmart

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

FAQPage Schema
How do I extract Walmart Canada flyer deals without browser automation?

Extracting Walmart Canada grocery deals via the Flipp API requires no browser automation. It fetches data directly from backflipp.wishabi.com, avoiding CAPTCHA and iframe scraping, and outputs structured JSON records.

Can I get normalized JSON output for grocery deals from the Walmart weekly flyer?

Yes, parsing the Walmart weekly flyer yields normalized JSON deal records. The output includes computed regular_price estimations from discounts, product categories, and metadata, filtering out non-grocery items for downstream planning.

Does the Flipp API parsing approach include drift detection for API breakage?

Yes, the parsing process runs pre-scrape and post-scrape drift-detection checks to catch API breakage or partial responses. This guardrail validates flyer selection by merchant_id and date before continuing with extraction.

What is the best way to use extracted Walmart flyer data for meal planning?

The best way is to use the deterministic JSON output directly for downstream matching. The normalized deal records contain sale prices, categories, and metadata, making them ready to plug into automated meal planning workflows.

Are there limitations when scraping Walmart Canada grocery deals with the Flipp API?

Limitations include dependency on the Flipp API structure, meaning changes could trigger drift detection. Additionally, the parser specifically targets the Walmart Canada weekly flyer and actively filters out non-grocery items from the output.