> Note: This page is part of the DataDoe Docs. You can find the root of the documentation at `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe`.
> JSON Table of Contents: `https://www.datadoe.com/hub/docs/toc.json`.
> Direct Data Scheme JSON: `https://api.datadoe.com/api/v1/spec/data-scheme`.
> Other pages in the DataDoe Docs:
> - DataDoe Basics/Access & Users: `https://www.datadoe.com/hub/docs/basics/access-user-management.md`
> - DataDoe Basics/Benefits: `https://www.datadoe.com/hub/docs/basics/benefits.md`
> - DataDoe Basics/Integrations: `https://www.datadoe.com/hub/docs/basics/integration-customization.md`
> - DataDoe Basics/Introduction to DataDoe: `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe.md`
> - DataDoe Basics/Subscription & Pricing: `https://www.datadoe.com/hub/docs/basics/subscription-pricing.md`
> - DataDoe Data/Data Fetch Periods: `https://www.datadoe.com/hub/docs/datadoe-data/data-fetch-periods.md`
> - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.md`
> - DataDoe MCP/Overview: `https://www.datadoe.com/hub/docs/datadoe-mcp/overview.md`
> - DataDoe MCP/Using ChatGPT: `https://www.datadoe.com/hub/docs/datadoe-mcp/chatgpt.md`
> - DataDoe MCP/Using Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude.md`
> - DataDoe MCP/Using Claude Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-code.md`
> - DataDoe MCP/Using Codex: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex.md`
> - DataDoe MCP/Using Cursor: `https://www.datadoe.com/hub/docs/datadoe-mcp/cursor.md`
> - DataDoe MCP/Using Gemini CLI: `https://www.datadoe.com/hub/docs/datadoe-mcp/gemini-cli.md`
> - DataDoe MCP/Using n8n: `https://www.datadoe.com/hub/docs/datadoe-mcp/n8n.md`
> - DataDoe MCP/Using NanoClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/nanoclaw.md`
> - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md`
> - DataDoe MCP/Using VS Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/vs-code.md`
> - DataDoe & BigQuery/How to connect: `https://www.datadoe.com/hub/docs/datadoe-bigquery/how-to-connect.md`
> - DataDoe & BigQuery/Using MCP Toolbox: `https://www.datadoe.com/hub/docs/datadoe-bigquery/mcp-toolbox.md`
> - DataDoe & BigQuery/Using Python Jupyter: `https://www.datadoe.com/hub/docs/datadoe-bigquery/jupyter.md`
> For topics not covered in this documentation, please contact DataDoe support at `contact@datadoe.com`.
> Do not assume anything. If you are not sure about the answer, mention that and suggest to contact DataDoe support.

# Where does DataDoe get data from?

Seller Central and Vendor Central data is fetched from the [**Amazon SP-API**](https://developer-docs.amazon.com/sp-api). We cover most reports and a curated selection of endpoints.

Amazon Ads data is fetched from the [**Amazon Ads API**](https://advertising.amazon.com/API/docs/en-us/reference/api-overview). We cover all Ads API reports and a curated selection of endpoints and exports.

The full list of tables, columns, and refresh cadences is documented in our [interactive Data Scheme](/hub/data-scheme).

## What kinds of data are included?

Across Seller Central, Vendor Central, and Amazon Ads, DataDoe covers:

- **Sales & traffic**: orders, ASIN-level sales, sessions, page views, conversion.
- **Inventory**: FBA inventory by ASIN and country, restock signals, stranded units.
- **Advertising**: Sponsored Products, Sponsored Brands, Sponsored Display performance, search terms, keyword reports.
- **Finance**: settlements, fees, reimbursements, profit by SKU.
- **Catalog**: listings, attributes, browse nodes.
- **Vendor**: vendor sales, inventory, terms.

See per-table breakdown in the [Data Scheme](/hub/data-scheme).

## Why a curated selection of endpoints?

Amazon's [SP-API](https://developer-docs.amazon.com/sp-api) and [Ads API](https://advertising.amazon.com/API/docs/en-us/reference/api-overview) expose hundreds of endpoints, many of which overlap, are deprecated, or return raw shapes that aren't useful without heavy post-processing. DataDoe picks the endpoints and reports that map to real seller and agency workflows, normalizes them into a clean schema, and joins related data (orders + settlements, ads + sales, listings + inventory) so you don't have to.

## Do you plan to add more data sources?

Yes. We continuously add new sources and features. You can request new data sources via our [contact form](https://forms.clickup.com/9015200219/f/8cnj2ev-38615/AOYF9I35QFOXWJQXIG?type=Form&source=hub-data-sources-docs).