---
id: apache-airflow-providers-airbyte
version: "6.0.1"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-airbyte — Provider package apache-airflow-providers-airbyte for Apache Airflow

License: permissive · Maintenance: active · Downloads: 2.5M/mo

## What it is and what it does

This is an Apache Airflow provider package that bridges Airflow and Airbyte, enabling you to trigger and monitor Airbyte data synchronization jobs from within Airflow DAGs. It wraps Airbyte's API (via the airbyte-api and httpx libraries) and exposes it as Airflow operators and hooks, so you can treat Airbyte jobs as first-class Airflow tasks alongside your other pipeline steps.

The package is actively maintained by the Apache Airflow project and supports Python 3.10, 3.11, 3.12, 3.13, 3.14. It requires Apache Airflow >=2.11.0, apache-airflow-providers-common-compat >=1.12.0, airbyte-api >=1.0.0,<2.0, and httpx >=0.28.1. Installation is straightforward via pip, with no compiled dependencies or special system requirements beyond a working Airflow environment.

Use it for:

- Trigger Airbyte sync jobs on a schedule or in response to upstream Airflow tasks.
- Monitor Airbyte job status and fail Airflow DAGs if a sync encounters errors.
- Chain Airbyte data ingestion with downstream transformation or analysis tasks in a single workflow.
- Centralize data pipeline orchestration by managing both Airbyte and non-Airbyte tasks in Airflow.
- Integrate Airbyte syncs into multi-step ETL workflows with conditional logic and dependencies.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Airbyte data pipelines into Apache Airflow workflows, allowing you to orchestrate and monitor Airbyte jobs as Airflow tasks.

Yes. This is a production-stable, actively maintained provider package from the Apache Airflow project with no known vulnerabilities. Install it if you run Airflow and need to orchestrate Airbyte jobs; the low install friction and permissive license make it a straightforward addition to an existing Airflow setup. Verify that your Airflow version meets the >=2.11.0 requirement and that you have an Airbyte instance to connect to.

## Install

pip install apache-airflow-providers-airbyte
uv add apache-airflow-providers-airbyte
poetry add apache-airflow-providers-airbyte

## Installing apache-airflow-providers-airbyte

Before you install: Low friction install as a pure-Python wheel. Actively maintained with a recent release and backed by the Apache Airflow project. Requires Apache Airflow >=2.11.0 and Python 3.10–3.14.

License in practice: Apache-2.0 (permissive) allows free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart:

pip install apache-airflow-providers-airbyte

from airflow.providers.airbyte.operators.airbyte import AirbyteTriggerSyncJobOperator

task = AirbyteTriggerSyncJobOperator(task_id='sync_job')

Requires an existing Apache Airflow installation (>=2.11.0) and a running Airbyte instance with configured jobs.

Verify before relying:

- What specific Airbyte operators and hooks are available beyond job triggering.
- Whether the package supports Airbyte Cloud, self-hosted, or both deployment models.
- How error handling and retry logic integrate with Airflow's native mechanisms.
- Example job IDs or configuration patterns for typical use cases.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 2.5M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow airbyte integration, orchestrate airbyte jobs, airflow provider airbyte, data pipeline orchestration, airbyte task operator, airflow data sync, etl workflow automation, airflow-provider, data-orchestration, etl-integration

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