Prompt

booking API for website with calendar availability

Technology / Scheduling & Booking Software1 observationLast seen Oct 15, 2026

Latest observation

Oct 15, 2026OpenAI APIWeb search: off

Sure — if you want a booking API for a website with calendar availability, the usual setup is:

Core features

  • Check availability
  • Create booking
  • Update / cancel booking
  • Prevent double-booking
  • Sync with calendar systems like Google Calendar / Outlook
  • Timezone support
  • Working hours, buffers, holidays, blackout dates

Typical API endpoints

Availability

GET /availability?service_id=123&date=2026-10-15 Returns available time slots.

Create booking

POST /bookings Example body:

{
  "service_id": 123,
  "customer_name": "John Doe",
  "customer_email": "john@example.com",
  "start_time": "2026-10-15T14:00:00Z",
  "duration_minutes": 30
}

Get booking

GET /bookings/{id}

Cancel booking

DELETE /bookings/{id}

Calendar availability logic

You usually calculate availability from:

  • business hours
  • existing bookings
  • buffer time before/after bookings
  • staff/resource schedules
  • holidays and exceptions

Example:

  • Open: 9 AM–5 PM
  • Bookings: 10:00–10:30, 1:00–2:00
  • Result: available slots exclude those times and any buffer periods

Recommended backend approach

Use:

  • Node.js / Express, Python / FastAPI, or Django
  • Database: PostgreSQL
  • Calendar sync: Google Calendar API
  • Caching for slot generation if needed

Important design points

  • Use atomic transactions when creating bookings to avoid double-booking
  • Store all times in UTC
  • Convert to local time only for display
  • Add idempotency keys for booking creation if payments are involved

If you want, I can help with one of these:

  1. Design a full booking API spec
  2. Build a calendar availability algorithm
  3. Write backend code in Node.js, Python, or PHP
  4. Integrate with Google Calendar
  5. Create a database schema

If you want, I can generate a complete REST API design with sample code for your stack.

Observation history

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