Amazon Selling Partner connector

Set up the Amazon Selling Partner connector in Kaivo: authentication, configuration, the 53 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 1 day ago

Kaivo is a fully managed data platform that syncs your Amazon Selling Partner data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your e-commerce data instead of moving it.

What is the Amazon Selling Partner connector

Sync your Amazon Selling Partner orders, financial events, and FBA reports into BigQuery with Kaivo to track marketplace sales, fees, and fulfilment.

Category	E-commerce
Authentication	OAuth
Setup	On request, contact us to enable it

Getting started with the Amazon Selling Partner connector

Sign up for Kaivo and create a workspace.
Connect your Amazon Selling Partner account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Amazon Selling Partner

Connect by signing in to your Amazon Seller Partner account. Kaivo runs the connection for you, so you never share a password.

Configuring the Amazon Selling Partner connector

When you set up the connector, you provide:

Field	Description
AWS Environment	Select the AWS Environment.
AWS Region	Select the AWS Region.
Account Type	Whether this is a Seller or Vendor account.
Start Date	Any data before this date will not be fetched.
Sales and Traffic Report ASIN Granularity	The level of ASIN granularity for the Sales and Traffic report streams.
Report Options	Additional information passed to reports. This varies by report type.
Include PII	When enabled, the connector requests access to PII fields such as buyer info and shipping address. Requires an approved Restricted Data Token.

Tables and columns synced from Amazon Selling Partner

Kaivo syncs 53 tables from Amazon Selling Partner into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Amazon Selling Partner sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Amazon Selling Partner supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Amazon Selling Partner?

It depends on how much history is in your Amazon Selling Partner account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Amazon Selling Partner's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Amazon Selling Partner, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Amazon Selling Partner instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Amazon Selling Partner connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Amazon Selling Partner data

Order reporting

Use Orders and OrderItems to report units, revenue, and returns by marketplace and product.

Fees and settlements

Use ListFinancialEvents and the FBA fee reports to see what Amazon actually deducts per order.

Fulfilment and stock

Track shipments, removal orders, and open listings to keep an eye on FBA inventory.

Real margin

Combine order revenue with fees and ad spend to get margin per ASIN rather than gross sales.

Use Amazon Selling Partner data in your AI and BI tools

Once Amazon Selling Partner data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Amazon Selling Partner data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Amazon Selling Partner connector pricing and plan details.

Google Analytics: Sync Google Analytics to BigQuery.
Recharge: Sync Recharge to BigQuery.
Extensiv 3PL Warehouse Manager: Sync Extensiv 3PL Warehouse Manager to BigQuery.
WooCommerce: Sync WooCommerce to BigQuery.
Adobe Commerce: Sync Adobe Commerce to BigQuery.
Akeneo: Sync Akeneo to BigQuery.

What is the Amazon Selling Partner connector

Getting started with the Amazon Selling Partner connector

Authenticating Amazon Selling Partner

Configuring the Amazon Selling Partner connector

Tables and columns synced from Amazon Selling Partner

GET_AFN_INVENTORY_DATA (9 columns)

GET_AFN_INVENTORY_DATA_BY_COUNTRY (9 columns)

GET_AMAZON_FULFILLED_SHIPMENTS_DATA_GENERAL (51 columns), Amazon Fulfilled Data General Reports

GET_BRAND_ANALYTICS_ALTERNATE_PURCHASE_REPORT (8 columns), Brand Analytics Alternate Purchase Reports

GET_BRAND_ANALYTICS_ITEM_COMPARISON_REPORT (8 columns), Brand Analytics Item Comparison Reports

GET_BRAND_ANALYTICS_MARKET_BASKET_REPORT (8 columns), Brand Analytics Market Basket Reports

GET_BRAND_ANALYTICS_REPEAT_PURCHASE_REPORT (11 columns), Brand Analytics Repeat Purchase Reports

GET_BRAND_ANALYTICS_SEARCH_TERMS_REPORT (9 columns), Brand Analytics Search Terms Reports

GET_FBA_ESTIMATED_FBA_FEES_TXT_DATA (37 columns)

GET_FBA_FULFILLMENT_CUSTOMER_RETURNS_DATA (16 columns), FBA customer returns report Data Reports

GET_FBA_FULFILLMENT_CUSTOMER_SHIPMENT_PROMOTION_DATA (12 columns)

GET_FBA_FULFILLMENT_CUSTOMER_SHIPMENT_REPLACEMENT_DATA (12 columns), FBA Fulfillment Customer Shipment Replacement Data Reports

GET_FBA_FULFILLMENT_REMOVAL_ORDER_DETAIL_DATA (18 columns), FBA Fulfillment Removal Order Detail Data Reports

GET_FBA_FULFILLMENT_REMOVAL_SHIPMENT_DETAIL_DATA (12 columns), FBA Fulfillment Removal Shipment Detail Data Reports

GET_FBA_INVENTORY_PLANNING_DATA (80 columns)

GET_FBA_MYI_UNSUPPRESSED_INVENTORY_DATA (24 columns)

GET_FBA_REIMBURSEMENTS_DATA (21 columns), FBA Reimbursements Data Reports

GET_FBA_STORAGE_FEE_CHARGES_DATA (34 columns), FBA Storage Fees Report

GET_FLAT_FILE_ACTIONABLE_ORDER_DATA_SHIPPING (28 columns), Flat File All Orders Data by Last Update Date General Reports

GET_FLAT_FILE_ALL_ORDERS_DATA_BY_LAST_UPDATE_GENERAL (36 columns), Flat File All Orders Data by Last Update Date General Reports

GET_FLAT_FILE_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL (36 columns), Flat File All Orders Data by Order Date General Reports

GET_FLAT_FILE_ARCHIVED_ORDERS_DATA_BY_ORDER_DATE (34 columns)

GET_FLAT_FILE_OPEN_LISTINGS_DATA (26 columns), Flat File Open Listings Data Reports

GET_FLAT_FILE_RETURNS_DATA_BY_RETURN_DATE (35 columns)

GET_LEDGER_DETAIL_VIEW_DATA (18 columns)

GET_LEDGER_SUMMARY_VIEW_DATA (24 columns)

GET_MERCHANT_CANCELLED_LISTINGS_DATA (45 columns)

GET_MERCHANT_LISTINGS_ALL_DATA (32 columns), Get Merchant Listings All Data Reports

GET_MERCHANT_LISTINGS_DATA (50 columns)

GET_MERCHANT_LISTINGS_DATA_BACK_COMPAT (49 columns)

GET_MERCHANT_LISTINGS_INACTIVE_DATA (31 columns)

GET_MERCHANTS_LISTINGS_FYP_REPORT (11 columns)

GET_ORDER_REPORT_DATA_SHIPPING (34 columns), GET_ORDER_REPORT_DATA_SHIPPING

GET_RESTOCK_INVENTORY_RECOMMENDATIONS_REPORT (33 columns), Restock Inventory Report

GET_SALES_AND_TRAFFIC_REPORT (44 columns), Seller retail analytics reports - Sales and Traffic Business Report

GET_SALES_AND_TRAFFIC_REPORT_BY_DATE (54 columns), Seller retail analytics reports - Sales and Traffic Business Report aggregated by date

GET_SALES_AND_TRAFFIC_REPORT_BY_MONTH (44 columns), Seller retail analytics reports - Sales and Traffic Business Report

GET_SELLER_FEEDBACK_DATA (9 columns), Seller Feedback Data Reports

GET_STRANDED_INVENTORY_UI_DATA (21 columns)

GET_V2_SETTLEMENT_REPORT_DATA_FLAT_FILE (40 columns)

GET_VENDOR_FORECASTING_FRESH_REPORT (11 columns), A report with forward looking mean, P70, P80, and P90 weekly customer demand forecasts. Data is reported at the ASIN level for the most recent weekly forecast generation date.

GET_VENDOR_FORECASTING_RETAIL_REPORT (11 columns), A report with forward looking mean, P70, P80, and P90 weekly customer demand forecasts. Data is reported at the ASIN level for the most recent weekly forecast generation date.

GET_VENDOR_INVENTORY_REPORT (20 columns), Vendor retail analytics reports - Inventory Report

GET_VENDOR_SALES_REPORT (13 columns), Vendor retail analytics reports - Sales Report

GET_XML_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL (16 columns)

GET_XML_BROWSE_TREE_DATA (17 columns)

ListFinancialEventGroups (16 columns), List Financial Event Groups

ListFinancialEvents (3 columns), List of Financial Events

OrderItems (55 columns), All order items that were updated after a specified date

Orders (48 columns), All orders that were updated after a specified date

VendorDirectFulfillmentShipping (29 columns), Vendor Direct Fulfillment Shipping

VendorOrders (74 columns), All vendor purchase orders that were updated after a specified date

VendorOrdersStatus (44 columns), Status of vendor purchase orders