Cloudbeds
Independent hotels, hostels and inns run Cloudbeds as PMS, channel manager and booking engine, so its reservations, guests, rooms, rates, payments and housekeeping status describe the whole operation. Owners want to know what each channel and room type truly earns. Stored in a Lake alongside OTA data and reviews, Cloudbeds answers that with net figures.
- Category
- Industry Solutions
- Type
- Hotel PMS
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, API key
02Data
What you can sync.
- Reservations
- Guests
- Rooms
- Rates
- Payments
- Housekeeping
Report on Cloudbeds reservations in DataPrism BI and ask an AI Mind questions about it in plain words.
Need more? Name any other Cloudbeds data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- An API key
Cloudbeds uses OAuth 2.0 (client ID, client secret, refresh token) or an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Cloudbeds if you need help.
04Questions
Questions you can answer.
Once Cloudbeds data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- What is RevPAR by room type and channel for each month?
- Which booking sources show cancellation and no-show rates above the property average?
- How many rooms are still marked dirty at check-in time on high-occupancy days?
- Do guests who book direct spend more on extras than OTA guests?
05How it works
How it works in DataMind.
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Pick Cloudbeds.
Open Lake, pick Cloudbeds in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Cloudbeds API docs.
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Answer a few questions.
The AI reads the Cloudbeds documentation, then asks which credentials you will use, which data to sync (for example reservations and guests), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Cloudbeds data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Cloudbeds.
Sources teams join with Cloudbeds in the Warehouse, each one connected the same way.
