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Amazon Ads

Amazon Ads Connector for AI Agents

Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.

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About this Connector

Amazon Ads is Amazon's advertising platform that enables sellers and vendors to promote their products across Amazon's marketplace. This connector provides access to advertising profiles for managing and analyzing advertising campaigns across different marketplaces.

CRM

Sales Analytics

Customer Data

advertising, ecommerce, campaign analytics

Version Information

Package version

0.1.55

Connector version

1.0.8

SDK commit

cb4380e76ac5cbc67b9089f94522be1bbe9f8d73

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Amazon Ads connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-amazon-ads

2

Import

Initialize and use

python

Copy
from airbyte_agent_amazon_ads import AmazonAdsConnector
from airbyte_agent_amazon_ads.models import AmazonAdsAuthConfig

connector = AmazonAdsConnector(
    auth_config=AmazonAdsAuthConfig(
        client_id="<The client ID of your Amazon Ads API application>",
        client_secret="<The client secret of your Amazon Ads API application>",
        refresh_token="<The refresh token obtained from the OAuth authorization flow>"
    )
)

3

Tool

Add tools to your agent

python

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

Supported Entities & Actions

Access all your Amazon Ads data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Profiles | [List](./REFERENCE.md#profiles-list), [Get](./REFERENCE.md#profiles-get), [Search](./REFERENCE.md#profiles-search) |\n| Portfolios | [List](./REFERENCE.md#portfolios-list), [Get](./REFERENCE.md#portfolios-get) |\n| Sponsored Product Campaigns | [List](./REFERENCE.md#sponsored-product-campaigns-list), [Get](./REFERENCE.md#sponsored-product-campaigns-get) |

Example Prompts

The Amazon Ads connector is optimized to handle prompts like these

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List all my advertising profiles across marketplaces - Show me the profiles for my seller accounts - What marketplaces do I have advertising profiles in? - List all portfolios for one of my profiles - Show me all sponsored product campaigns - What campaigns are currently enabled? - Find campaigns with a specific targeting type

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Agent-Native Design

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

Secure Authentication

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

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.

Works with your favorite frameworks

Use the Amazon Ads connector with any AI agent framework

🦜

LangChain

🦙

LlamaIndex

🤖

CrewAI

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 Ads?

The Amazon Ads connector supports OAuth 2.0 authentication via a client ID, client secret, and refresh token obtained from the OAuth authorization flow. In hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte customer name, organization ID, client ID, and client secret instead.

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?

Currently, the Amazon Ads connector focuses on read operations only. Write operations such as creating campaigns, updating budgets, deleting ad groups, or generating performance reports 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.

Will there be a platform for agent connectors?

The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors