Connect Amazon Seller Central to Snowflake
Send Amazon Seller Central orders, order items, list financial event groups and 37 more report types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
amazon_seller_central
ordersorder_itemslist_financial_event_groupslist_financial_eventsget_flat_file_all_orders_data_by_order_date_generals- 35 more report types
How to connect Amazon Seller Central and Snowflake
5 steps. You can preview the Amazon Seller Central data in Coupler.io before anything reaches Snowflake.
Step 1 of 5
Connect Amazon Seller Central
Sign in to Amazon Seller Central and authorize Coupler.io. There's no API key to copy.
Step 2 of 5
Choose what to export
Pick the Amazon Seller Central data you want in Snowflake.
Core components
Reports
Show 32 more report types Show fewer report types
Reports
Step 3 of 5
Set the report period
Choose the date range the report covers.
Step 4 of 5
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Amazon Seller Central data.
Step 5 of 5
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 Amazon Seller Central data.
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40 report types, including Orders, Order items, List financial event groups, List financial events and Get flat file all orders data by order date generals.
You sign in to Amazon Seller Central and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date and end 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 Amazon Seller Central 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 100ms or Ashby, and join or append them before the data reaches Snowflake.