Connect Inflowinventory to BigQuery
Send Inflowinventory customers, products, adjustment reasons and 17 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset inflowinventory
customersproductsadjustment_reasonscategoriescurrencies- 15 more data types
How to connect Inflowinventory and BigQuery
4 steps. You can preview the Inflowinventory data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Inflowinventory
Enter your Inflowinventory API key and company ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Inflowinventory data you want in BigQuery.
Show 12 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 Inflowinventory 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 Inflowinventory data.
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20 data types, including Customers, Products, Adjustment reasons, Categories and Currencies.
With your Inflowinventory API key and company ID, 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 Inflowinventory 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 QuickBooks or Xero, and join or append them before the data reaches BigQuery.
