Connect Clockodo to BigQuery
Send Clockodo customers, projects, users and 14 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset clockodo
customersprojectsusersabsencesentries- 12 more data types
How to connect Clockodo and BigQuery
4 steps. You can preview the Clockodo data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Clockodo
Enter your Clockodo API key, email address and external application header. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Clockodo data you want in BigQuery.
Show 9 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 Clockodo 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 customers with fresh Clockodo data.
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17 data types, including Customers, Projects, Users, Absences and Entries.
With your Clockodo API key, email address and external application header, 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 Clockodo 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.
