Connect Cloudbeds to BigQuery
Send Cloudbeds transactions, guests, hotels and 3 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset cloudbeds
transactionsguestshotelsroomsreservations- 1 more data type
How to connect Cloudbeds and BigQuery
4 steps. You can preview the Cloudbeds data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Cloudbeds
Enter your Cloudbeds API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Cloudbeds data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Cloudbeds data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites transactions with fresh Cloudbeds data.
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6 data types, including Transactions, Guests, Hotels, Rooms and Reservations.
With your Cloudbeds API key, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Cloudbeds data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
