Connect WooCommerce to PostgreSQL
Send WooCommerce orders, customers, products and 20 more data types to PostgreSQL on a schedule. Pick columns, filter by date and narrow it down by status. Refresh as often as every 15 minutes.
PostgreSQL
schema woocommerce
orderscustomersproductscontinentscountries- 18 more data types
How to connect WooCommerce and PostgreSQL
6 steps. You can preview the WooCommerce data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 6
Connect WooCommerce
Add the WooCommerce account you want to export from.
Connect WooCommerce
Step 2 of 6
Choose what to export
Pick the WooCommerce data you want in PostgreSQL.
Show 15 more data types Show fewer data types
Step 3 of 6
Fine-tune the export
Optional settings for this WooCommerce export.
Show 3 more fields Show fewer fields
Step 4 of 6
Pick columns
Keep only the columns you need, so the table stays easy to work with.
Step 5 of 6
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the WooCommerce data.
Show 3 more fields Show fewer fields
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in orders and loads fresh WooCommerce data.
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23 data types, including Orders, Customers, Products, Continents and Countries.
Yes. Set the start date and end date to cover the period you need. You can also filter by date.
Yes. Pick the columns you need, and only those reach PostgreSQL.
Yes. Available filters include status.
Yes, if the database user has CREATE privileges. Coupler.io creates the woocommerce schema and the orders table on the first run.
Yes. Append adds new rows to orders on each run, while Replace swaps in a fresh copy. With Append, add new WooCommerce 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 PostgreSQL.
