Integrate the Switchboard API with the Python API

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

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Popular Switchboard 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 Switchboard#

The Switchboard API offers a platform to manage multi-platform data pipelines, enabling seamless data synchronization and transformation across diverse systems. With Pipedream, you can leverage the Switchboard API to create serverless workflows that automate data operations, reducing manual overhead and creating real-time, event-driven processes. These workflows can integrate with numerous apps available on Pipedream, making it possible to connect data sources, handle data in transit, and trigger actions based on custom logic.

Connect Switchboard#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    switchboard: {
      type: "app",
      app: "switchboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.canvas.switchboard.ai/templates`,
      headers: {
        "X-API-Key": `${this.switchboard.$auth.api_key}`,
        "Content-Type": `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}}

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