Export Amazon Orders to Spreadsheet

If you've been selling on Amazon or any platform, exporting orders is easy. But keeping it updated so that you're not analyzing old stale data is important for growth and becoming a better seller.

A serious Amazon order spreadsheet has to answer one question: can I use this order row today without checking Seller Central again?

The discipline of building a spreadsheet that does not depend on one person becomes super important if you want to go on a vacation or if someone calls in sick.

Video Tutorial on Exporting Amazon Orders to Spreadsheet

Manual order exports issues in the reporting process

The request-wait-download-paste cycle fails in four specific ways. Each has a measurable cost.

The download still has a place. A one-time analysis, a quick audit, or a small account review can run from a manual export. But it's a problem when in this day and age, exporting a file is part of a process for your company reporting. Competitors are automating basic tasks and increasing efficiency, reducing labor, cutting costs and some are even lowering prices due to these changes.

Amazon order reports contain different rows depending on the report type

Amazon order exports are not one universal report. Seller Central and SP-API expose different order report types for tracking, shipping, tax, and invoicing.

Per Amazon’s Order Reports documentation, flat file order reports can include order identifiers, item identifiers, purchase dates, payment dates, SKU, product name, quantity purchased, item price, item tax, shipping price, shipping tax, shipment fields, business order flags, and sales channel fields.

That matters because sellers often say “order export” as if every file contains the same columns. It does not. A report used for shipping can include address-related fields. A tracking report may be better for order movement without customer-identifying data. A tax or invoicing report has a different job.

For a working Google Sheet, I care less about the report label and more about whether the row can support the next decision. If the sheet needs SKU sales, use fields that tie the order to sku, asin, quantity, and price. If the sheet needs fulfillment review, bring in order status, fulfillment channel, shipped quantity, and last update date.

For the full picture of what Seller Central data exists beyond order reports, the Amazon seller data to Google Sheets hub covers all 8 report families and how they connect.

The order sheet is the starting point for three downstream views:

The right order spreadsheet starts with stable keys

An Amazon order spreadsheet should be built around stable identifiers before it is built around charts.

The important keys are order-id, order-item-id, sku, asin, and purchase-date. Those fields let the sheet deduplicate rows, join orders to products, filter by time period, and connect sales to refunds or fee data later.

If the order spreadsheet starts with a pivot table, it looks useful fast. If it starts with stable raw rows, it keeps working after the first month. I would rather have a plain ORDERS_RAW tab that nobody touches than a polished report where imported data and formulas sit in the same area.

Here is the basic structure I would use.

The order file should make the rest of the workbook easier to trust.

The order fields, column by column

The table below uses verified order-related fields from Gorilla ROI’s supported data list and Amazon’s order report documentation.

Tab structure recommendation:

• ORDERS_RAW: protected. Raw imported rows land here. No formulas, no manual edits.
• ORDER_CALCS: all formulas reference ORDERS_RAW. All calculations live here. The raw tab stays untouched.
• Review tab: manager-facing view. Built from ORDER_CALCS with filters and charts.

Protect ORDERS_RAW immediately after setup. A team member editing a cell in the raw tab to "fix" a value breaks the entire formula structure the next time the sheet refreshes. The calculation tab is where corrections belong. Never the raw data.

Gorilla ROI’s supported fields for manageorder include Order ID, Purchase Date, Order Status, Fulfillment Channel, Order Total, Marketplace, ASIN, SKU, Quantity Ordered, Quantity Shipped, Item Price, Shipping State, and Last Update Date. Amazon’s flat file order report documentation lists related fields such as order-id, order-item-id, purchase-date, sku, quantity-purchased, item-price, shipping-price, ship-state, and sales-channel.

‍Order exports are good for one-time review, connected sheets are better for repeated review

Manual exports and connected sheets solve different order-data problems.

Amazon’s Reports API exists for retrieving reports sellers use to manage inventory, orders, tax information, returns, and other selling activity. It is powerful, but building directly against it means your team has to manage report requests, authorization, report documents, field mapping, and error handling.

For most teams, the decision just comes down to whether you want your team maintaining that API connection or spending that time on growing the business.

The order spreadsheet should feed sales, refund, and fee review

Amazon order rows are the starting point for sales review, but they do not explain the full business by themselves.

A useful order spreadsheet should be able to feed three follow-up views.

This is where an order export becomes more than a file. Once the order rows are stable, you can connect them to a live Amazon sales tracker in Google Sheets, compare them against Amazon FBA returns in Google Sheets, and later bring in Amazon seller fees in Google Sheets for margin review.

Keep the order article narrow. Orders tell you what sold, when it sold, and what changed on the order row. Fees, returns, ads, and inventory belong in their own tabs.

Key terms

Order ID vs Order Item ID

‍Order ID is Amazon's identifier for the customer transaction. Order Item ID identifies a specific line item inside that transaction. One order can contain multiple SKUs, each with its own Order Item ID. SKU-level analysis requires the Order Item ID row, which means the item-level row rather than the order total. When joining order data to returns or fee data, confirm whether the source uses Order ID or Order Item ID as the key. A mismatch produces empty joins.

Fulfillment Channel

‍Fulfillment Channel indicates whether an order was fulfilled by Amazon (FBA) or by the seller (FBM). FBA fulfillment fees are deducted by Amazon and appear in the Fee report. FBM shipping costs are paid by the seller outside Amazon and do not appear in order data at all. Filtering P&L calculations by fulfillment channel is the only way to compare FBA margin to FBM margin accurately.

Restricted Data Token

‍A Restricted Data Token is an SP-API authorization requirement for order report types that contain personally identifiable information: buyer names, addresses, and phone numbers. Standard order reporting for sales and fulfillment analysis does not require restricted authorization. If your reporting workflow ever needs invoicing or shipping-level customer data, the RDT requirement applies and adds a separate authorization step to the API call.

FAQ

How do I export Amazon orders to a spreadsheet?

You can export Amazon orders from Seller Central by requesting an order report and downloading the finished file, then opening it in Excel or Google Sheets. That works for one-time review, but repeated reporting needs a protected raw tab and a process for refreshing the order rows.

What fields are included in an Amazon order export?

Amazon flat file order reports can include fields such as order-id, order-item-id, purchase-date, payments-date, sku, product-name, quantity-purchased, item-price, shipping-price, ship-state, and sales-channel, depending on the report type. Gorilla ROI order pulls expose working sheet fields such as Order ID, Purchase Date, Order Status, Fulfillment Channel, ASIN, SKU, Quantity Ordered, Item Price, Shipping State, and Last Update Date.

Can I export Amazon orders directly into Google Sheets?

Yes, but there are three practical ways to do it: manual CSV download, a custom SP-API connection, or a Google Sheets connection through Gorilla ROI. Manual downloads are fine for one-off review, while a connected sheet fits repeated order review.

Does Amazon order export include customer information?

Some restricted order reports can include customer-identifying fields, but Amazon requires restricted authorization for report types that contain personally identifiable information. For normal operations, I would build the sheet around order, SKU, shipment, revenue, and state-level fields rather than customer names or addresses.

How often should Amazon order data update in Google Sheets?

Daily refresh is enough for sales review, fulfillment review, and SKU-level trend checks. If your team is using the sheet for same-day fulfillment decisions, confirm the report type and refresh timing because Amazon order reports and report generation rules vary by report.

Can order data connect to refunds and returns?

Yes. Use Order ID, SKU, ASIN, Purchase Date, and Quantity Ordered as the bridge between order rows and refund or return rows. For return-specific fields and reason codes, use the Amazon FBA returns in Google Sheets article.

Does the order report include advertising spend?

‍No. Advertising data is a separate report category. To calculate TACoS, pull advertising data into its own tab and join with total order revenue by SKU and date range. The Amazon advertising metrics article covers the advertising tab structure.

What happens when a customer returns an order?

‍The order row stays in the order report unchanged. Returns appear in a separate report and must be joined to the order tab using order_id. High-return SKUs are invisible in an order-only view. They show revenue but not the refund that followed. The Amazon FBA returns in Google Sheets article covers how to pull return data and connect it to order rows.

Amazon order spreadsheet checklist

The order spreadsheet is ready when your team can review a SKU’s sales movement without downloading a new file from Seller Central.