Amadeus Self-Service shut down on July 17. Here's a drop-in replacement for flight prices

If your fare tracker, travel bot or class project suddenly can't reach test.api.amadeus.com or gets auth errors, it's not your code. Amadeus decommissioned its Self-Service APIs on 17 July 2026.

test.api.amadeus.com, the SDK's default host, had no DNS A record at Google or Cloudflare DNS. GitHub is full of projects hitting this. More than 190 issues and PRs mention Amadeus Self-Service since February. Some remove their Amadeus adapter (anythingmcp #713). Others swap in another API (multi-flight-search #1). Many are student projects that started an Amadeus integration after registrations closed.

I needed the same three calls for my own projects, so I built a replacement with the same parameter names and the same JSON shape. This post covers the options, the migration code, and what you can't replace.

If you need booking (Flight Create Orders, ticketing), none of these help. You need a booking API from an airline, a consolidator or Amadeus Enterprise. The rest of this post is about the read-only price calls, which is what most hobby and research projects used.

I published Flight Offers API on Apify. It takes the Amadeus Self-Service parameter names, fetches live prices from Google Flights, and returns Amadeus-shaped JSON:

Disclosure: I built and sell this. It's pay per use: $0.003 per search plus $0.0005 per saved offer. A Flight Offers Search with 10 offers costs $0.008. Apify's free plan includes $5 of monthly credit, which covers about 600 such searches.

Before, with the archived SDK:

from amadeus import Client

amadeus = Client(client_id="...", client_secret="...")
response = amadeus.shopping.flight_offers_search.get(
    originLocationCode="JFK", destinationLocationCode="LAX",
    departureDate="2026-11-12", adults=1, max=5)

for offer in response.data:
    seg = offer["itineraries"][0]["segments"][0]
    print(offer["price"]["total"], seg["carrierCode"], seg["number"], seg["departure"]["at"])

After (pip install apify-client, version 3.x):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

def amadeus_call(endpoint, **params):
    """Runs the replacement and returns an Amadeus-style {meta, data, dictionaries} dict."""
    run = client.actor("kuezi/flight-offers-api").call(logger=None, run_input={"endpoint": endpoint, **params})
    return client.key_value_store(run.default_key_value_store_id).get_record("RESPONSE")["value"]

response = amadeus_call("flight-offers",
    originLocationCode="JFK", destinationLocationCode="LAX",
    departureDate="2026-11-12", adults=1, max=5)

for offer in response["data"]:
    seg = offer["itineraries"][0]["segments"][0]
    print(offer["price"]["total"], seg["carrierCode"], seg["number"], seg["departure"]["at"])

The loop is unchanged. Only response.data becomes response["data"]. Output from a real run on 2 October:

204.00 DL 1788 2026-11-12T12:00:00
204.00 B6 1023 2026-11-12T12:00:00
204.00 B6 623 2026-11-12T15:29:00
204.00 B6 123 2026-11-12T05:45:00
204.00 DL 742 2026-11-12T07:00:00

The run took 5 seconds. Its status message is a one-line answer, handy for logs and AI agents:

5 flight offers JFK-LAX on 2026-11-12. Cheapest 204.00 USD: DL 1788, departs 2026-11-12T12:00:00, PT6H8M.
Google says prices are typical (typical 144-240).

Amadeus took a date range in departureDate. So does this:

response = amadeus_call("cheapest-date",
    origin="SFO", destination="HNL", departureDate="2026-11-01,2026-11-30")

for d in response["data"][:3]:      # sorted cheapest first
    print(d["departureDate"], d["price"]["total"], d["priceLevel"])

Real run: 30 dates priced in 18 seconds. Cheapest was $163 on 1 November, with 11 more dates at the same price. The priciest was $444 on 20 November. For round trips, pass duration=7 (one trip length; Amadeus-style ranges like 1,15 aren't supported).

response = amadeus_call("price-metrics",
    originIataCode="JFK", destinationIataCode="LAX", departureDate="2026-11-12")
m = response["data"][0]
print({x["quartileRanking"]: x["amount"] for x in m["priceMetrics"]})
{'MINIMUM': '167.00', 'FIRST': '178.00', 'MEDIUM': '178.00', 'THIRD': '204.00', 'MAXIMUM': '215.00'}

Amadeus built these quartiles from its booking data. This version builds them from Google Flights' price history for that exact date, 61 days in this case, and also returns Google's own verdict (typical) and typical range ($144–240). The idea is the same, but the source isn't, so don't compare the numbers one to one.

Be aware of these before you switch:

country: "us" by default). That includes low-cost and airline-direct fares that Amadeus often didn't have. They're shopping prices, not bookable fares.null`` numberOfBookableSeats, lastTicketingDate, price.base, and aircraft.code (the aircraft name is in aircraft.name instead).googleFlights in each offer: CO₂, legroom, layovers, Google's price level and a link to the search.

curl -X POST "https://api.apify.com/v2/acts/kuezi~flight-offers-api/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"endpoint":"flight-offers","originLocationCode":"LHR","destinationLocationCode":"JFK","departureDate":"2026-12-01","max":5}'

That returns the data array directly.

If you were using another Amadeus Self-Service endpoint and want it replaced, tell me which one in the comments. I'll prioritize by demand.

AI disclosure: this post and the tool were produced with an AI agent (Claude) working for me. Every number above comes from real runs on 2 October 2026.