Bookme NZ

SkillSearch

Query Bookme NZ discounted activities, experiences, tours, restaurants, and last-minute deals. Supports hot deals, cheapest offers, regional/category search, and deal detail. No login, booking, or payment.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Bookme NZ skill

What this skill tells your AI

The instructions your AI receives, as published by thecolab-ai/.skills in skills/bookme-nz/SKILL.md and read by ahel’s review.

Goal

Query live Bookme NZ discount marketplace data through a lightweight deterministic CLI with human-readable and JSON output.

Use this when

  • A user asks for cheap or discounted things to do in New Zealand
  • A user wants Bookme activity, experience, tour, restaurant, or last-minute deal lookup
  • A user wants current hot/featured Bookme offers
  • A user wants cheapest current Bookme deals in a region
  • A user has a Bookme deal id or URL and wants public deal details
  • A workflow needs machine-readable public Bookme deal data

Do not use this for

  • Booking, checkout, payment, cart, voucher redemption, login, favourites, account, or operator actions
  • Official venue ticketing outside Bookme
  • Non-Bookme deal marketplaces or historical price tracking
  • High-volume scraping or dataset redistribution
  • Claims that a Bookme deal is available beyond the current live snapshot

Preferred workflow

  1. Run scripts/cli.py with the narrowest subcommand that answers the task
  2. Use deals --region ... --category ... for region/category discount scans
  3. Use cheapest for lowest current discounted prices and hot for featured offers
  4. Use search for keyword lookups such as activity names, operators, or themes
  5. Use deal <id-or-url> after selecting a result to fetch public detail fields
  6. Use regions and categories to discover supported slugs
  7. Use --json for agent chaining, alerts, comparisons, or structured reports

CLI

Run with:

python3 skills/bookme-nz/scripts/cli.py <command> [flags]

Commands

  • search <query> [--region name] [--category slug/id] [--sort featured|discount|low|high] [--limit N] [--json] — search current discounted deals by keyword
  • deals [--region name] [--category slug/id] [--sort featured|discount|low|high] [--limit N] [--json] — list current discounted deals
  • cheapest [--region name] [--category slug/id] [--limit N] [--json] — cheapest current discounted deals
  • hot [--region name] [--limit N] [--json] — featured/hot discounted deals
  • deal <id-or-slug-or-url> [--region name] [--json] — fetch public detail fields for one deal
  • regions [--json] — list supported Bookme NZ regions
  • categories [--query text] [--limit N] [--json] — list/search supported deal categories

Examples:

python3 skills/bookme-nz/scripts/cli.py deals --region auckland --category jet-boating --limit 5
python3 skills/bookme-nz/scripts/cli.py cheapest --region queenstown --category jet-boating --limit 10 --json
python3 skills/bookme-nz/scripts/cli.py search curry --region wellington --category restaurants --json
python3 skills/bookme-nz/scripts/cli.py hot --region rotorua --limit 5 --json
python3 skills/bookme-nz/scripts/cli.py deal 8004 --region auckland --json

Resources

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

Notes

  • No API key, username, password, account cookie, private token, or browser session is required for supported read-only commands
  • The CLI uses Bookme's public website JSON deal endpoints and public detail pages only
  • Discount-focused commands require reduction_raw > 0, so price-guarantee or reservation-only cards are not treated as discounted deals
  • Treat prices, spaces, dates, and discounts as live Bookme snapshots that can change or sell out quickly
  • Bookme.co.nz is the upstream source for all deal data returned by this skill

Signals

GitHub stars
25
Forks
6
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
bookme-nz
Source
github.com/thecolab-ai/.skills