Connect Retail Express by Maropost to BigQuery
Send Retail Express by Maropost orders, customers, products and 49 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset retailexpress_by_maropost
orderscustomersproductsuserscountries- 47 more data types
How to connect Retail Express by Maropost and BigQuery
4 steps. You can preview the Retail Express by Maropost data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Retail Express by Maropost
Enter your Retail Express by Maropost API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Retail Express by Maropost data you want in BigQuery.
Show 32 more data types Show fewer data types
And 12 more 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 Retail Express by Maropost 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 orders with fresh Retail Express by Maropost data.
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Build your Retail Express by Maropost integrations with these destinations
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52 data types, including Orders, Customers, Products, Users and Countries.
With your Retail Express by Maropost API key, 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 Retail Express by Maropost 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 Shopify or GoHighLevel, and join or append them before the data reaches BigQuery.
