Connect Float to BigQuery
Send Float tasks, accounts, projects and 13 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset float
tasksaccountsprojectsdepartmentspeople- 11 more data types
How to connect Float and BigQuery
4 steps. You can preview the Float data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Float
Enter your Float access token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Float data you want in BigQuery.
Show 8 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 Float 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 tasks with fresh Float data.
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16 data types, including Tasks, Accounts, Projects, Departments and People.
With your Float access token, 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 Float 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 ClickUp or Airtable, and join or append them before the data reaches BigQuery.
