Connect Retail Express by Maropost to Snowflake
Send Retail Express by Maropost orders, customers, products and 49 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema retailexpress_by_maropost
orderscustomersproductsuserscountries- 47 more data types
How to connect Retail Express by Maropost and Snowflake
4 steps. You can preview the Retail Express by Maropost data in Coupler.io before anything reaches Snowflake.
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 Snowflake.
Show 32 more data types Show fewer data types
And 12 more data types.
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, 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 Snowflake. Run it as often as every 15 minutes.
Each run deletes the existing rows in orders and loads fresh Retail Express by Maropost data.
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Build your Retail Express by Maropost integrations with these destinations
Get the most of Retail Express by Maropost to Snowflake integration
Gather data
Understand data
Automate data
Act on data
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. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.
Yes. Append adds new rows to orders on each run, while Replace swaps in a fresh copy. With Append, add new Retail Express by Maropost columns to the table yourself before the next run.
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 Snowflake.
