What is Amazon Seller Partner?

Connector for the Amazon Selling Partner API (SP-API). Provides access to seller orders and order items, financial events and event groups, catalog item search and details, and report metadata.

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Agent Connector

Connect your agents to Amazon Seller Partner

Production-ready access to your Amazon Seller Partner data with managed auth, parametric control, and the reliability your agents need to actually work.

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Installation & Usage

Get start with the Amazon Seller Partner connector in minutes.

[01]

Install Package

Using uv or pip

BASH

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uv pip install airbyte-agent-amazon-seller-partner

[02]

Import

Initialize and use

PYTHON

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from airbyte_agent_amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_amazon_seller_partner.models import AmazonSellerPartnerAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AmazonSellerPartnerAuthConfig(
        lwa_app_id="<Your Login with Amazon Client ID.>",
        lwa_client_secret="<Your Login with Amazon Client Secret.>",
        refresh_token="<The Refresh Token obtained via the OAuth authorization flow.>",
        access_token="<Access token (optional if refresh_token is provided).>"
    )
)

[03]

Tool

Add tools to your agent

python

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@agent.tool_plain # assumes you're using Pydantic AI
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Supported Entities & Actions

Access all your Amazon Seller Partner data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Orders | [List](./REFERENCE.md#orders-list), [Get](./REFERENCE.md#orders-get), [Search](./REFERENCE.md#orders-search) |\n| Order Items | [List](./REFERENCE.md#order-items-list), [Search](./REFERENCE.md#order-items-search) |\n| List Financial Event Groups | [List](./REFERENCE.md#list-financial-event-groups-list), [Search](./REFERENCE.md#list-financial-event-groups-search) |\n| List Financial Events | [List](./REFERENCE.md#list-financial-events-list), [Search](./REFERENCE.md#list-financial-events-search) |\n| Catalog Items | [List](./REFERENCE.md#catalog-items-list), [Get](./REFERENCE.md#catalog-items-get) |\n| Reports | [List](./REFERENCE.md#reports-list), [Get](./REFERENCE.md#reports-get) |

View full reference documentation

Example Prompts

The Amazon Seller Partner connector is optimized to handle prompts like these

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List all recent orders - Show me order items for a specific order - List financial event groups - Show recent financial events - Search catalog items by keyword - List recent reports - What are my top-selling products by order volume? - Show orders from the last 30 days with status Shipped - Find financial events related to refunds - Which orders have the highest total value?

View full reference documentation

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Secure Authentication

Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.

Agent-Native Design

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Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.

Production Ready

Battle-tested connectors with comprehensive error handling, logging, and retry logic.

Open Source

Fully open source under the MIT license. Contribute, customize, and extend freely.

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Works with your favorite frameworks

Use the Salesforce connector with any AI agent framework.

LangChain

CrewAI

LlamaIndex

AutoGen

OpenAI Agents SDK

Claude Agents SDK

Frequently Asked Questions

Didn't find your answer? Please don't hesitate to reach out.

How do I authenticate with Amazon Seller Partner?

The Amazon Seller Partner connector supports OAuth 2.0 authentication via Login with Amazon (LWA). You provide a lwa_app_id, lwa_client_secret, and a refresh_token obtained from the OAuth authorization flow. An access_token is optional if a refresh token is provided, and the connector handles automatic token refresh.

Can I use this connector with any AI agent framework?

The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.

Does this connector support write operations?

No, the Amazon Seller Partner connector currently supports read operations only. Write operations such as creating or canceling orders, submitting new report requests, or updating product listings are not supported at this time.

How is this different from the Airbyte data connector?

Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.

Ready to connect your AI agents to Amazon Seller Partner?

Get started in minutes with our open-source connector.

Go to github

READ THE DOCS