Integrate the Device Magic API with the Python API

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

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Popular Device Magic 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 Device Magic#

Device Magic is a mobile forms and data collection tool that allows field teams to capture and submit form data using smartphones and tablets. With the Device Magic API on Pipedream, you can automate the ingestion, processing, and distribution of this data. Harnessing Pipedream's capabilities, you can trigger workflows upon form submission, manipulate the data, and integrate it with countless other services, all in real-time. This enables seamless data flow from field to office, triggering notifications, analytics, and even actions in other business applications.

Connect Device Magic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    device_magic: {
      type: "app",
      app: "device_magic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.devicemagic.com/organizations/${this.device_magic.$auth.organization_id}/forms.json`,
      headers: {
        "Authorization": `Basic ${this.device_magic.$auth.api_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#

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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