Podio - Custom App

Platform for creating no code solutions and automate workflows. This app allows you to connect your own client ID / secret

Integrate the Podio - Custom App API with the Python API

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

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.

 
Try it

Overview of Podio - Custom App

Podio's Custom App API unleashes the power to mold the Podio platform to fit your project and workflow needs. It grants the ability to create, modify, and orchestrate data across various Podio apps. By leveraging Pipedream's serverless platform, you can connect Podio with hundreds of other services for automation. This means you can trigger actions in Podio or react to events in Podio with custom logic, transform data, and pass it between your apps in real-time, without the need to manage infrastructure.

Connect Podio - Custom App

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    podio_custom_app: {
      type: "app",
      app: "podio_custom_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.podio.com/user`,
      headers: {
        Authorization: `Bearer ${this.podio_custom_app.$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

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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}}