Connect Amazon Seller to PostgreSQL

Register Amazon Seller, save the PostgreSQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "customers".

Select concrete Amazon Seller fields such as Average Sales Per Order Item Amount, Average Sales Per Order Item Currency, Average Sales Per Order Item B2B Amount, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as stores, customers, and products.

The "customers" job can begin with a historical Amazon Seller fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

Select a valid date field when configuring the Amazon Seller job for "customers". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

With Amazon Seller data, a PostgreSQL query can summarize revenue, orders, units sold, and average order value by sales channel. Turn Average Sales Per Order Item Amount and Average Sales Per Order Item Currency into a stable PostgreSQL view that analysts and reporting tools can query repeatedly.

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.