Amadeus API & GDS Integration | Canvas Developers

Amadeus integrations built for live booking traffic

Travel search looks simple until a fare changes between search and checkout, a booking request times out, or a traffic peak runs into rate limits. We build Amadeus integrations for booking engines, online travel agencies and travel management platforms, covering flight and hotel search, pricing, booking and itinerary changes. Each one handles token refresh, caching, retries and reconciliation, and shows travelers clear options when a fare is no longer available.

AI-assisted, engineer-led Amadeus integration

How AI assists

Drafts contract tests and mock responses from the Amadeus API reference, including price changes and sold-out offers
Proposes mappings from flight and hotel offers to your booking data model for engineers to review
Reviews API logs to group errors, spot quota pressure and trace a failed booking back to its request
Drafts traveler-facing messages for fare changes, sold-out offers and timeouts for designers to refine

What our experts own

Engineers set booking order and idempotency rules so a retry after a timeout does not create a second booking
DevOps engineers keep credentials in your secret store, scoped per environment and out of AI prompts
Engineers tune caching, throttling and fallbacks to keep search within your Amadeus usage limits
QA signs off fare-change and failure scenarios before go-live; we then reconcile early bookings with you

From traveler search to a reconciled booking

Illustrative flight booking path; hotel bookings and itinerary changes use similar checks.

Search request
Your booking engine calls the integration layer, which answers from a short-lived cache or queries Amadeus within quota.
Price confirmation
Before booking, the chosen fare is re-priced with Amadeus; a changed or sold-out fare pauses checkout.
Checkpoint: Traveler accepts any new price first
Booking request
A pending booking is saved under your reference first; the Amadeus reference is stored beside it once confirmed.
Timeout check
If the booking call times out, the integration checks whether Amadeus created it before trying again.
Booking reconciliation
A scheduled job compares Amadeus bookings with your records and lists any that exist on one side only.
Checkpoint: Support resolves each unmatched booking

When something fails: Search errors retry with backoff; travelers see a plain message with the nearest alternatives, and failed bookings alert your team.

What you receive

What your Amadeus integration includes

Flight search and booking
Flight search, price confirmation before booking, and order creation that shows travelers a clear message when a fare changes or sells out.
Hotel search and booking
Hotel availability, room rates and cancellation policies mapped into your booking flow and stored with each reservation for your support team.
Itinerary changes
Modifications, cancellations and schedule changes handled as tracked workflows, so support can see what happened to each booking.
Caching and rate-limit control
Short-lived caching, request throttling and quota tracking that keep search responsive without breaching your API limits.
Credential and token handling
OAuth token refresh, separate keys for test and production, and secrets stored outside your code with access limited to the services that need them.
Monitoring and dashboards
Logs tied to booking references, alerts on failed bookings and error spikes, and dashboards for search volume, API usage and response times.

Prepare an integration that your team can operate

Access and inputs
Bring your Amadeus account and API access level, the booking workflow, markets and test environment. Confirm with the provider which production booking and ticketing permissions your business has before committing to scope.
A realistic first scope
Start with a defined search-to-booking journey and its price-change, cancellation and failure cases. Supplier availability, commercial agreements and ticketing permissions are external dependencies; additional travel products are scoped separately.
Handover and maintenance
We deliver the agreed connection, test evidence, configuration notes and recovery instructions. Assign an owner for alerts and reconciliation. Provider changes, credentials and ongoing monitoring can be maintained under an agreed support plan; provider charges remain separate.

How we deliver your Amadeus integration

01
API and access review
Confirm which Amadeus APIs and access level fit your product, map flights, hotels and trips to your booking model, and agree who owns each record.
02
Contract tests
Write contract tests against the Amadeus test environment for price changes, sold-out offers, timeouts and expired tokens, noting where test data differs from live.
03
Build and harden
Build search, pricing and booking with idempotent order creation, retries with backoff, caching and structured logs, each change reviewed by an engineer.
04
Go-live and support
Move to production credentials in stages, reconcile early bookings, then keep monitoring, fixes and Amadeus API changes covered on an agreed support plan.

Two ways to work with AI tools

AI helps draft integration code and contract tests. Choose where it may process your code and API data.

Private / Local AI Engineering
Privately hosted models inside infrastructure you control or an agreed isolated environment.
Discuss with this package
Claude Code / OpenAI Codex Engineering
Claude Code and/or OpenAI Codex with cloud settings your organization approves.
Discuss with this package

Not sure? We'll recommend one during scoping. Compare AI delivery options

FAQ

Frequently Asked Questions

Do I need my own Amadeus API access?

Yes. Access and commercial terms are agreed between you and Amadeus, and the requirements depend on the APIs you use. We help you work out which access fits your product, build against the test environment while production access is arranged, and handle the technical steps for go-live.

Can you integrate Amadeus with our existing booking engine?

Yes. We add an integration layer between Amadeus and your current backend, whether it runs on PHP, Node.js, Python or another stack, so search, pricing and booking follow one tested path. Your booking records stay in your database, with Amadeus references stored alongside them for support and reconciliation.

What do travelers see when a fare changes or sells out?

A clear message and the closest available options instead of a generic error. We confirm price and availability before booking, check a booking's status before retrying after a timeout, and reconcile any booking that Amadeus confirmed but your system did not record, so support can resolve it.

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