Combine BigQuery and Amazon Seller Central Data Using AI – Free Template
Automatically combine Amazon Seller Central and BigQuery data without writing a single line of code.
The Parabola Team
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Sign up for freeTransform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- Set up your data sources by creating a new Parabola flow and connecting both your Amazon Seller Central account and your BigQuery warehouse.
- Select the specific data you want to integrate — settlement reports, orders, SKUs, and fees from Amazon; analytics tables and schemas from BigQuery.
- Clean, organize, and transform your data. Flatten multi-line orders, split out Amazon fees, normalize SKU names, and map fields to BigQuery tables.
- Apply any additional processing needed, such as reconciling payouts, mapping returns and refunds, or blending ASC data with other commerce datasets in BigQuery.
- Generate your results by previewing the integrated data and running your automated flow. Once live, BigQuery will always reflect the latest ASC data.
Practical use cases and examples
Centralizing Amazon data for analytics
Push Amazon Seller Central reports into BigQuery to unlock deeper insights into sales, fees, and profitability.
Automating payout reconciliations
Compare Amazon disbursements with transaction-level detail stored in BigQuery to automate reconciliation.
Cross-channel reporting
Blend ASC data with Shopify, ERP, or marketing data already in BigQuery for a unified view of performance.
Template features
Features
