Agent Connector

Connect your agents to Linkedin Ads

Production-ready access to your Linkedin Ads 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 Linkedin Ads connector in minutes.

[01]

Install Package

Using uv or pip

BASH

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uv pip install airbyte-agent-linkedin-ads

[02]

Import

Initialize and use

PYTHON

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from airbyte_agent_linkedin_ads import LinkedinAdsConnector
from airbyte_agent_linkedin_ads.models import LinkedinAdsAuthConfig

connector = LinkedinAdsConnector(
    auth_config=LinkedinAdsAuthConfig(
        refresh_token="<OAuth 2.0 refresh token for automatic renewal>",
        client_id="<OAuth 2.0 application client ID>",
        client_secret="<OAuth 2.0 application client secret>"
    )
)

[03]

Tool

Add tools to your agent

python

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

Supported Entities & Actions

Access all your Linkedin Ads data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Accounts | [List](./REFERENCE.md#accounts-list), [Get](./REFERENCE.md#accounts-get), [Search](./REFERENCE.md#accounts-search) |\n| Account Users | [List](./REFERENCE.md#account-users-list), [Search](./REFERENCE.md#account-users-search) |\n| Campaigns | [List](./REFERENCE.md#campaigns-list), [Get](./REFERENCE.md#campaigns-get), [Search](./REFERENCE.md#campaigns-search) |\n| Campaign Groups | [List](./REFERENCE.md#campaign-groups-list), [Get](./REFERENCE.md#campaign-groups-get), [Search](./REFERENCE.md#campaign-groups-search) |\n| Creatives | [List](./REFERENCE.md#creatives-list), [Get](./REFERENCE.md#creatives-get), [Search](./REFERENCE.md#creatives-search) |\n| Conversions | [List](./REFERENCE.md#conversions-list), [Get](./REFERENCE.md#conversions-get), [Search](./REFERENCE.md#conversions-search) |\n| Ad Campaign Analytics | [List](./REFERENCE.md#ad-campaign-analytics-list), [Search](./REFERENCE.md#ad-campaign-analytics-search) |\n| Ad Creative Analytics | [List](./REFERENCE.md#ad-creative-analytics-list), [Search](./REFERENCE.md#ad-creative-analytics-search) |

View full reference documentation

Example Prompts

The Linkedin Ads connector is optimized to handle prompts like these

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List all my LinkedIn ad accounts - Show me all campaigns in my ad account - List all campaign groups - Show me the creatives for my campaigns - List all conversions configured for my ad accounts - Show me account users for my LinkedIn ads accounts - Which campaigns have the highest click-through rate? - What is the total ad spend across all campaigns this month? - Show me campaigns with status ACTIVE - Which creatives have the most impressions? - Compare campaign performance by cost type

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 Linkedin Ads?

The LinkedIn Ads connector supports OAuth 2.0 authentication using a refresh token, client ID, and client secret for automatic token renewal. It also supports direct access token authentication. In hosted mode, credentials are stored securely in Airbyte Cloud using Airbyte credentials 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 LinkedIn Ads connector focuses on read operations only. Write operations such as creating campaigns, updating campaign budgets, deleting ad creatives, or pausing campaigns 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 Linkedin Ads?

Get started in minutes with our open-source connector.

Go to github
READ THE DOCS