Connect When I Work to BigQuery
Send When I Work accounts, users, payrolls and 9 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset when_i_work
accountsuserspayrollstimezonespayrolls_notices- 7 more data types
How to connect When I Work and BigQuery
4 steps. You can preview the When I Work data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect When I Work
Enter your When I Work email and password. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the When I Work data you want in BigQuery.
Show 4 more data types Show fewer data types
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 When I Work 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 accounts with fresh When I Work data.
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Build your When I Work integrations with these destinations
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Gather data
Understand data
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12 data types, including Accounts, Users, Payrolls, Timezones and Payrolls notices.
With your When I Work email and password, 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 When I Work 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 Clockify or Harvest, and join or append them before the data reaches BigQuery.
