Amazon Seller
BigQuery

Sync Amazon Seller to BigQuery automatically

Load Amazon Seller data into BigQuery for scalable SQL reporting and historical analysis. SyncRange maps export tabs into stable tables and refreshes them on your schedule.

Overview: all destinations for Amazon Seller

How SyncRange sends data

Connect, choose columns, schedule refreshes

  1. Connect securely so SyncRange can read your Amazon Seller data using only the access your team approves.
  2. Pick export tabs and map them to BigQuery. Each tab becomes a worksheet, table, or file range you control.
  3. Run on demand or on a schedule; SyncRange handles pagination, retries, and headers so each refresh is predictable.

When spreadsheets are not enough, SyncRange loads Amazon Seller into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.

BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.

BigQuery

Export to BigQuery

Data Warehousing & Large-Scale Analytics

Send your Amazon Seller data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL code.

  • Data warehouse ready: Tables land in BigQuery for long-term storage and historical analysis
  • Large-scale analytics: Query billions of rows with SQL and join with other sources in your warehouse
  • BI & ML ready: Connect Looker Studio, Looker, or custom tools for dashboards and machine learning

Export schema

What we can export, and how it lands

Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in Google Sheets or as BigQuery columns when you choose BigQuery as the destination.

Orders

Export Amazon order data

Columns
Amazon Order ID
Purchase Date
Last Updated Date
Order Status
Fulfillment Channel
Sales Channel
Ship Service Level
Currency
Order Total
Items Shipped
Items Unshipped
Payment Method
Marketplace ID
Buyer Email
Buyer Name
Ship City
Ship State
Ship Postal Code
Ship Country
Is Premium Order
Is Business Order
Is Prime
Order Type
Earliest Ship Date
Latest Ship Date
Earliest Delivery Date
Latest Delivery Date
Date Exported
Order Items

Export order line item details

Columns
Amazon Order ID
Order Item ID
ASIN
Seller SKU
Title
Quantity Ordered
Quantity Shipped
Currency
Item Price
Item Tax
Shipping Price
Shipping Tax
Shipping Discount
Promotion Discount
Promotion ID
Condition
Is Gift
Date Exported
FBA Inventory

Export FBA inventory levels and status

Columns
Seller SKU
FNSKU
ASIN
Product Name
Condition
Fulfillable Quantity
Inbound Working
Inbound Shipped
Inbound Receiving
Reserved Quantity
Total Quantity
Unsellable Quantity
Per Unit Volume
Researching Quantity
Date Exported
Listings

Export active product listings

Columns
Seller SKU
ASIN
Item Name
Item Description
Listing ID
Price
Currency
Quantity
Open Date
Product ID Type
Item Condition
Status
Fulfillment Channel
Business Price
Date Exported
Settlements

Export financial settlement data

Columns
Settlement ID
Settlement Start Date
Settlement End Date
Deposit Date
Total Amount
Currency
Transaction Type
Order ID
Merchant Order ID
SKU
Quantity Purchased
Marketplace
Amount Type
Amount Description
Amount
Fulfillment ID
Posted Date
Date Exported
Returns

Export FBA customer returns data

Columns
Return Date
Order ID
Seller SKU
ASIN
FNSKU
Product Name
Quantity
Fulfillment Center ID
Detailed Disposition
Return Reason
Status
License Plate Number
Customer Comments
Date Exported

Social proof

Built for ecommerce teams and complex multi-brand operators

See how teams export clean ecommerce and marketing data to Google Sheets or BigQuery without manual work.

Jay

Jay R.

Large Online Retailer

★★★★★

We manage high-volume ecommerce data across multiple channels and needed clean exports into BigQuery without custom engineering overhead. SyncRange gave us reliable scheduled pipelines and immediate visibility by brand.

Emma

Emma L.

Multi-brand Shopify Plus Operator

★★★★★

We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.

Ashley

Ashley R.

Shopify Store Founder

★★★★★

We were manually updating Google Sheets every morning with Shopify and ad data. It was slow and error-prone. Now everything updates automatically, and our daily profitability tracker is always accurate.

Dominik

Dominik S.

Shopify Store Founder

★★★★★

I almost hired developers to build custom Shopify-to-Sheets exports. Quotes were expensive and came with ongoing maintenance. SyncRange was a fraction of the cost and worked immediately without a long build project.

Documentation

Connect your account, then follow the configuration guide for your first export.

More exporters

Other data sources you can sync to BigQuery

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