Integrate the Airbyte API with the Python API

Setup the Airbyte API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Airbyte and Python remarkably fast. Free for developers.

Popular Airbyte and Python Actions#

Create Workspace with the Airbyte API

Creates a workspace on Airbyte. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Delete Workspace with the Airbyte API

Deletes a workspace on Airbyte. See the documentation

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List Workspaces with the Airbyte API

Lists workspaces on Airbyte. See the documentation

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Update Workspace with the Airbyte API

Updates a workspace on Airbyte. See the documentation

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Overview of Airbyte#

The Airbyte API allows for creating and managing data integration pipelines between various sources and destinations, automating data synchronization tasks, and monitoring the status of those pipelines. On Pipedream, you can leverage the Airbyte API to build intricate workflows that react to data events, manipulate and store data, and connect to other services to create rich, automated data pipelines.

Connect Airbyte#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    https_airbyte_com: {
      type: "app",
      app: "https_airbyte_com",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.https_airbyte_com.$auth.url}/v1/connections`,
      headers: {
        Authorization: `Bearer ${this.https_airbyte_com.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}