Integrate the Happy Scribe API with the Python API

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

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Popular Ways to Connect Happy Scribe with Python#

Run Python Code with Python API on New Transcription from Happy Scribe API

Happy Scribe + Python

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Popular Happy Scribe and Python Triggers#

New Transcription from the Happy Scribe API

Emit new event on each new transcription.

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Popular Happy Scribe and Python Actions#

Delete Transcription with the Happy Scribe API

Delete a transcription. 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 Transcription with the Happy Scribe API

Retrieve a transcription. See the documentation

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Submit File with the Happy Scribe API

Submit a file. See the documentation

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Overview of Happy Scribe#

The Happy Scribe API provides tools for converting speech to text and vice versa, enabling developers to automate the transcription and subtitling of audio and video files. With the Happy Scribe integration on Pipedream, you can create workflows that trigger on various events, process content, and connect to other apps. Automate transcription jobs, sync transcripts to databases, notify teams when transcriptions are ready, or even analyze text for insights.

Connect Happy Scribe#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    happy_scribe: {
      type: "app",
      app: "happy_scribe",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.happyscribe.com/api/v1/transcriptions`,
      headers: {
        Authorization: `Bearer ${this.happy_scribe.$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}}

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