Connect Waiteraid to BigQuery
Send Waiteraid bookings to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset waiteraid
bookings
How to connect Waiteraid and BigQuery
4 steps. You can preview the Waiteraid data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Waiteraid
Enter your Waiteraid authentication hash and restaurant ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Waiteraid 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 Waiteraid 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 bookings with fresh Waiteraid data.
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1 data type, including Bookings.
With your Waiteraid authentication hash and restaurant ID, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Waiteraid 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.
