Prompt

Need booking API for SaaS with Google Calendar sync

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

Latest observation

Oct 15, 2026OpenAI APIWeb search: off

Here’s a solid booking API design for a SaaS product with Google Calendar sync.

Core requirements

Your API should support:

  • multi-tenant SaaS accounts
  • staff/resources with calendars
  • availability lookup
  • create/update/cancel bookings
  • Google Calendar 2-way sync
  • webhooks/events for external integrations
  • timezone-safe scheduling

Suggested architecture

Main services

  1. Booking Service

    • Owns booking records, availability, conflict checks
    • Exposes REST/GraphQL API
  2. Calendar Sync Service

    • Handles Google OAuth
    • Manages Google Calendar API calls
    • Syncs booking ↔ Google events
    • Processes push notifications / webhooks
  3. Job Queue / Worker

    • Retries sync failures
    • Polls incremental sync tokens
    • Reconciles data drift
  4. Database

    • Tenants, users, staff/resources, booking rules, bookings, sync state

Data model essentials

Tenant

  • id
  • name
  • timezone
  • plan
  • created_at

User / Staff

  • id
  • tenant_id
  • name
  • email
  • role
  • google_account_id nullable

Calendar connection

  • id
  • tenant_id
  • user_id or resource_id
  • provider = google
  • access_token encrypted
  • refresh_token encrypted
  • expiry_at
  • google_calendar_id
  • sync_token
  • status

Booking

  • id
  • tenant_id
  • customer_name
  • customer_email
  • resource_id
  • start_at
  • end_at
  • timezone
  • status = confirmed|cancelled|pending
  • external_event_id
  • source = api|widget|google
  • created_at

Availability rules

  • working hours
  • buffers
  • holidays
  • exceptions
  • slot duration

API endpoints

Auth / tenant

  • POST /v1/auth/login
  • GET /v1/me
  • GET /v1/tenants/{tenantId}

Booking

  • GET /v1/availability?resource_id=&date=
  • POST /v1/bookings
  • GET /v1/bookings/{id}
  • PATCH /v1/bookings/{id}
  • DELETE /v1/bookings/{id}

Calendar sync

  • GET /v1/integrations/google/connect
  • GET /v1/integrations/google/callback
  • POST /v1/integrations/google/disconnect
  • GET /v1/integrations/google/status
  • POST /v1/webhooks/google/calendar

Admin / ops

  • POST /v1/bookings/{id}/sync
  • POST /v1/integrations/google/reconcile

Example booking flow

1) Check availability

Client asks:

GET /v1/availability?resource_id=123&date=2026-10-20

API returns open slots after:

  • working hours
  • existing bookings
  • Google Calendar busy events
  • buffers
  • holidays

2) Create booking

POST /v1/bookings
Content-Type: application/json
{
  "resource_id": "123",
  "customer_name": "Jane Doe",
  "customer_email": "jane@example.com",
  "start_at": "2026-10-20T10:00:00-04:00",
  "end_at": "2026-10-20T10:30:00-04:00",
  "timezone": "America/New_York"
}

3) Persist + sync

  • Save booking locally first
  • Create Google Calendar event
  • Store external_event_id
  • Mark sync status synced or pending_retry

Google Calendar integration approach

OAuth

Use OAuth 2.0 with offline access:

  • request access_type=offline
  • store refresh token securely
  • refresh tokens when access expires

Sync directions

A. Push booking → Google

When booking created/updated/cancelled:

  • create/update/delete corresponding Google event

B. Google → booking

If staff edits Google event:

  • use Google Calendar push notifications + incremental sync
  • update your booking record if allowed
  • or mark conflict/manual review

Important sync rules

1) Source of truth

Decide this upfront:

  • Option A: SaaS is source of truth, Google is downstream mirror
  • Option B: Google edits can modify booking
  • Option C: Hybrid with conflict resolution

For most SaaS booking systems, I recommend:

  • SaaS is source of truth
  • Google events can block availability
  • Google edits on synced events are read/merge only if explicitly allowed

2) Idempotency

Use idempotency keys on booking creation:

  • prevents duplicate bookings if client retries

3) Conflict handling

Before confirming:

  • recheck availability
  • lock slot briefly in transaction
  • ensure Google event creation doesn’t double-book

4) Timezones

Store:

  • UTC timestamps
  • original timezone
  • display timezone

5) Retry strategy

If Google API fails:

  • booking can still be created with sync_status=pending
  • retry in background
  • notify if permanent failure

Webhook handling

Google push notifications

Google Calendar API uses channel notifications:

  • receive webhook
  • fetch incremental changes using sync token
  • update local busy blocks/bookings

Your own webhooks

Expose events for customers:

  • booking.created
  • booking.updated
  • booking.cancelled
  • calendar.synced
  • calendar.sync_failed

Security considerations

  • Encrypt Google tokens at rest
  • Use short-lived access tokens, rotate refresh token handling
  • Verify webhook signatures where applicable
  • Use per-tenant authorization checks
  • Limit scopes to minimum needed:
    • usually https://www.googleapis.com/auth/calendar.events
    • or read-only calendar.readonly if only checking availability

Suggested minimal tech stack

  • API: Node.js/NestJS, Go, or Python/FastAPI
  • DB: PostgreSQL
  • Queue: Redis + BullMQ / Celery / SQS
  • OAuth + Google API: official Google client libraries
  • Webhook processing: background workers
  • Cache: Redis for slot availability

If you want a practical starting point

I can generate any of these next:

  1. OpenAPI spec for the booking + Google sync API
  2. Database schema for PostgreSQL
  3. Node.js/NestJS implementation
  4. FastAPI implementation
  5. Google Calendar sync flow diagram
  6. Multi-tenant SaaS architecture

If you want, I can draft the full OpenAPI 3.0 spec next.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.