Reservations Import

The ‘reservation-import’ endpoint allows a PMS to request a flush of all future reservations/modifications for a hotel under that PMS.

This request will trigger a background job that will queue up these reservations and deliver them to the PMS via their normal PMSX reservation delivery flow. During this time, the hotel will receive a mixture of ‘live’ reservations and the ‘import’ reservations.

Some things to be aware of with this import

• The hotel will receive the standard email reservation notification if we are unable to deliver a reservation as part of the import.

• Cancellations are ignored, only reservations and modifications will be sent.

• There are several variables that impact how long the import process will take, such as the total number of reservations to deliver and how busy the hotel is with ‘live’ reservations.

• The import may result in duplicate reservations in the hoteliers PMS if they have already manually entered them. We are unable to exclude reservations as part of the import.

• There is currently no way to know when the import has finished. The best indicator would be a slowdown in reservation deliveries for the hotel. Back to the normal ‘live’ reservations frequency.

This function is designed to be used when a hotel is integrating with a new PMS. You can't use this to try and re-deliver reservations that have failed due to an outage or for some other reason.

Triggers the import active reservations job for requested hotel.

GEThttps://pmsx-core-api.dev.siteminderlabs.com/pmses/{pmsCode}/hotels/{hotelCode}/reservation-import

Path parameters

pmsCode*string

pmsCode used to identify the pmsx partner

hotelCode*string

hotelCode used to identify the hotelier

Header parameters

Response

202400401403404429500503

Request Accepted

Headers

Request

JavaScriptCurlPython

const response = await fetch('https://pmsx-core-api.dev.siteminderlabs.com/pmses/{pmsCode}/hotels/{hotelCode}/reservation-import', {
    method: 'GET',
    headers: {
      "X-SM-TRACE-TOKEN": "text"
    },
});
const data = await response.json();

Response

400401403404429500503

{
  "errors": [
    {
      "code": "text",
      "message": "text"
    }
  ]
}