Kmart

Goal

Query live Kmart NZ and AU public product data through a small deterministic CLI with human-readable and JSON output, without browser automation or account login.

Use this when

• A user asks for Kmart NZ or AU product prices
• A user wants to search Kmart products by keyword
• A user has Kmart SKUs and wants product details
• A user wants a lightweight clearance or promotional product snapshot
• A user needs public Kmart store-location URLs from the site sitemaps
• A workflow needs fast read-only Kmart data for comparisons or reports

Do not use this for

• Authenticated account, OnePass, personalised, cart, checkout, delivery-slot, payment, order, or review actions
• High-volume scraping or redistributing scraped Kmart product data as a dataset
• Historical pricing or price-change claims unless another dataset provides history
• Canonical store trading-hour or stock-availability claims; verify store pages or official locator output before publishing

Preferred workflow

1. Run scripts/cli.py with the narrowest subcommand that answers the task
2. Default to NZ unless the user asks for AU; pass --country au for Australia
3. Use search for keyword product lookup and product when an exact SKU is known
4. Use specials for a clearance/promotional snapshot based on product metadata
5. Use stores for public store-detail URL discovery from Kmart sitemaps
6. Use --json for agent chaining, comparisons, or structured reports
7. Mention that prices and specials are live online Kmart snapshots and the source is unofficial

CLI

Run with:

python3 skills/kmart/scripts/cli.py <command> [flags]

Commands

• search <query> [--country nz|au] [--limit N] [--page N] [--json] — product search with prices
• product <sku> [--country nz|au] [--json] — fetch exact SKU details via product search metadata
• stores [--region text] [--country nz|au] [--limit N] [--json] — list store-detail URLs and public store metadata
• specials [query] [--country nz|au] [--limit N] [--page N] [--json] — clearance/promotional products inferred from product metadata

Examples:

python3 skills/kmart/scripts/cli.py search lego --limit 10
python3 skills/kmart/scripts/cli.py search "air fryer" --country au --limit 5 --json
python3 skills/kmart/scripts/cli.py product 43684687 --json
python3 skills/kmart/scripts/cli.py specials sale --limit 10 --json
python3 skills/kmart/scripts/cli.py stores --country au --region melbourne --limit 5 --json

Resources

• CLI entrypoint: scripts/cli.py
• API and stability notes: references/api-notes.md

Notes

• No API key, username, password, account cookie, or browser automation is required for the implemented read-only operations
• Product search and SKU lookup use the public Constructor.io search endpoints configured by the Kmart web app
• AU store discovery uses the public Kmart XML sitemap. NZ store discovery uses official store-detail pages because the NZ store sitemap currently returns AU locations.
• Specials are a best-effort live snapshot from public product metadata such as clearance badges, sale badges, save-price text, and non-list price types
• Endpoint shapes can change; verify with a small live query before relying on large workflows