Integrate the Listen Notes API with the Python API

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

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Popular Listen Notes and Python Actions#

Full Search with the Listen Notes API

Full-text search on episodes, podcasts, or curated lists of podcasts. 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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Get Episode Details with the Listen Notes API

Get the details of the selected episode. See the documentation

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Get Podcast Details with the Listen Notes API

Get the details of the selected podcast. See the documentation

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Overview of Listen Notes#

The Listen Notes API allows you to tap into a vast podcast database, offering search capabilities, detailed information on individual episodes, and curated lists of podcasts. By leveraging the API with Pipedream, you can automate podcast-related workflows, such as monitoring new episodes from favorite shows, analyzing podcast trends, or integrating with other services for content distribution, notifications, or data aggregation.

Connect Listen Notes#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    listen_notes: {
      type: "app",
      app: "listen_notes",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://listen-api.listennotes.com/api/v2/search`,
      headers: {
        "X-ListenAPI-Key": `${this.listen_notes.$auth.api_key}`,
      },
      params: {
        "q": `programming`,
      },
    })
  },
})

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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