Integrate the Supercast API with the Python API

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

Popular Ways to Connect Supercast with Python#

Run Python Code with Python API on New Episode Created from Supercast API

Supercast + Python

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Run Python Code with Python API on New Question Created from Supercast API

Supercast + Python

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Popular Supercast and Python Triggers#

New Episode Created from the Supercast API

Emit new event when a new episode is created in Supercast. See the documentation

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New Question Created from the Supercast API

Emit new event when a new question is created. See the documentation

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Popular Supercast and Python Actions#

Create a Channel Creator with the Supercast API

Creates a new channel creator on Supercast. 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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Create an Episode with the Supercast API

Creates a new episode on Supercast. See the documentation

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Overview of Supercast#

The Supercast API offers the ability to automate interactions with your Supercast account, enabling you to manage subscribers, analyze subscription data, and integrate with other services. With the Supercast API on Pipedream, you can create serverless workflows that trigger from various events, helping to streamline operations, personalize subscriber engagement, and extend the functionality of your podcast subscription service.

Connect Supercast#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    supercast: {
      type: "app",
      app: "supercast",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://supercast.tech/api/v1/users`,
      headers: {
        Authorization: `Bearer ${this.supercast.$auth.access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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}}