Integrate the Planning Center API with the Python API

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

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Popular Planning Center and Python Actions#

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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Overview of Planning Center#

The Planning Center API offers a suite of church management features, allowing for the seamless coordination of events, services, and resources. With Pipedream, you can automate tasks, sync data across different platforms, and create dynamic workflows that save time and reduce errors. This can include managing attendees, coordinating service schedules, tracking donations, and more. Pipedream's serverless platform connects with the Planning Center API to create workflows that trigger on new data, process and transform data, and automate communication and organizational tasks.

Connect Planning Center#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    planning_center: {
      type: "app",
      app: "planning_center",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.planningcenteronline.com/people/v2/me`,
      headers: {
        Authorization: `Bearer ${this.planning_center.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}

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