Skip to main content

Airbyte Facebook-Marketing Connector for AI platforms

Project description

Facebook-Marketing

The Facebook-Marketing agent connector is a Python package that equips AI agents to interact with Facebook-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Facebook Marketing API connector for managing ad campaigns, ad sets, ads, creatives, and accessing performance insights, pixel configuration, and event quality data. This connector provides read access to Facebook Ads Manager data for analytics and reporting purposes.

Example questions

The Facebook-Marketing connector is optimized to handle prompts like these.

  • List all active campaigns in my ad account
  • What ads are currently running in a recent campaign?
  • List all ad creatives in my account
  • What is the status of my campaigns?
  • List all custom conversion events in my account
  • Show me all ad images in my account
  • What videos are available in my ad account?
  • Create a new campaign called 'Summer Sale 2026' with traffic objective
  • Pause my most recent campaign
  • Create a new ad set with a $50 daily budget in my latest campaign
  • Update the daily budget of my top performing ad set to $100
  • Rename my most recent ad set to 'Holiday Promo'
  • Create a new ad in my latest ad set
  • Pause all ads in my most recent ad set
  • List all pixels in my ad account
  • Show me the event stats for my pixel
  • What events is my Facebook pixel tracking?
  • Search the Ad Library for political ads in the US
  • Find ads about climate change in the Ad Library
  • Show me Ad Library ads from a specific Facebook page
  • Show me the ad sets with the highest daily budget
  • Show me the performance insights for the last 7 days
  • Which campaigns have the most spend this month?
  • Show me ads with the highest click-through rate

Unsupported questions

The Facebook-Marketing connector isn't currently able to handle prompts like these.

  • Delete this ad creative
  • Delete this campaign
  • Delete this ad set
  • Delete this ad

Installation

uv pip install airbyte-agent-facebook-marketing

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_facebook_marketing import FacebookMarketingConnector
from airbyte_agent_facebook_marketing.models import FacebookMarketingServiceAccountKeyAuthenticationAuthConfig

connector = FacebookMarketingConnector(
    auth_config=FacebookMarketingServiceAccountKeyAuthenticationAuthConfig(
        account_key="<Facebook long-lived access token for Service Account authentication>"
    )
)

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

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_facebook_marketing import FacebookMarketingConnector, AirbyteAuthConfig

connector = FacebookMarketingConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

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

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity Actions
Current User Get
Ad Accounts List, Search
Campaigns List, Create, Get, Update, Search
Ad Sets List, Create, Get, Update, Search
Ads List, Create, Get, Update, Search
Ad Creatives List, Search
Ads Insights List, Search
Ad Account Get, Search
Custom Conversions List, Search
Images List, Search
Videos List, Search
Pixels List, Get
Pixel Stats List
Ad Library List

Authentication

For all authentication options, see the connector's authentication documentation.

Facebook-Marketing API docs

See the official Facebook-Marketing API reference.

Version information

  • Package version: 0.1.64
  • Connector version: 1.0.22
  • Generated with Connector SDK commit SHA: e4c7493336bcabf5bea5a761ab7b4edfe2a606a5
  • Changelog: View changelog

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_agent_facebook_marketing-0.1.64.tar.gz (188.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file airbyte_agent_facebook_marketing-0.1.64.tar.gz.

File metadata

File hashes

Hashes for airbyte_agent_facebook_marketing-0.1.64.tar.gz
Algorithm Hash digest
SHA256 ef4529c9ab3689e2202d38d7751a52bfb217268ee5adbaf2aae10e13b4c00a7b
MD5 a5bfebefe4d86284e01ac0b1edb4b144
BLAKE2b-256 4eaf93f31ec6b094db3f4c6e24043185872bc470f2f9148884fc52faadf194e5

See more details on using hashes here.

File details

Details for the file airbyte_agent_facebook_marketing-0.1.64-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_facebook_marketing-0.1.64-py3-none-any.whl
Algorithm Hash digest
SHA256 59cd690c67868f31851e6a7c1f147718413f092cd77b5f0fdf31987e1b989cc1
MD5 6b2f96a2019488ec9864cb16b9df66a2
BLAKE2b-256 e46dbe7170768b247ee80926463391b134715c21eaff1e18da3f869c5af820aa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page