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.
About this Connector
Connector for the LinkedIn Ads Marketing API. Provides access to ad accounts, campaigns, campaign groups, creatives, conversions, and ad analytics data. Supports OAuth 2.0 and direct access token authentication.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.1
Connector version
1.0.1
SDK commit
e50d6dd2afcab025208f4c255431a51c213a1c5c
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Check us out on Github and join the Airbyte community
Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-linkedin-ads
2
Import
Initialize and use
python
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>"
)
)3
Tool
Add tools to your agent
python
@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
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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) |
Example Prompts
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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
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
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LangChain
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LlamaIndex
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CrewAI
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AutoGen
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OpenAI Agents SDK
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Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The LinkedIn Ads connector supports OAuth 2.0 authentication using a refresh token, client ID, and client secret for automatic token renewal. Alternatively, in hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte 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 LinkedIn Ads connector focuses on read operations only. Write operations such as creating campaigns, updating budgets, deleting 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.
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.