Every Amazon table. One data layer.
61 tables across Amazon Seller Central, Vendor Central, and Amazon Ads. Each one documented with refresh cadence, BigQuery name, and column schema. Access via Exports, Explorer, REST API, MCP, or direct BigQuery integration.
How to access this data?
Use DataDoe in the way that fits your workflow. From business exports to direct integrations for technical teams or AI native solutions.
MCP (AI agents)
Quickly connect DataDoe to Claude or ChatGPT, or set up an advance AI Agent using professional tools.
DataDoe REST API
Build your own apps, dashboards, and automations. Work with your team or AI vibe coding tools, like Claude Code, Lovable or Replit.
Direct BigQuery Integration
Best for technical teams that want the scheme available directly in their own BigQuery project for powerful BI and data warehouse workflows.
Exports
Create CSV, Excel, JSON or XML files for your data on one-time or recurring basis. Push this data directly to tools like Excel or Power BI. No programming required.
How to modify data on Amazon?
Go beyond read-only access. Use DataDoe Actions to let AI agents and integrations update listings, manage orders, and control ads through MCP or the REST API.
Actions
Let AI agents act on your Amazon account through DataDoe: update listings, cancel orders, confirm shipments, and manage ads. Every Action runs through MCP or the REST API and is monitored and auditable.
Scheme explorer
Search tables and columns, then pick a data source tab to browse the full scheme.