Integrate the Control D API with the Python API

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

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Popular Control D and Python Actions#

Create Device with the Control D API

Create a new device. 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 Profile with the Control D API

Create a profile. See the documentation

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Delete Device with the Control D API

Delete a device with the specified ID. See the documentation

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Overview of Control D#

The Control D API allows you to manage and monitor internet access across different devices and networks. With it, you can automate the control of browsing data, enforce internet access policies, and generate detailed reports on internet usage. When integrated with Pipedream, these capabilities can be extended to automate workflows involving data from other apps, trigger actions based on internet usage patterns, and much more, leveraging Pipedream's capability to connect with hundreds of other apps and services.

Connect Control D#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    control_d: {
      type: "app",
      app: "control_d",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.controld.com/users`,
      headers: {
        Authorization: `Bearer ${this.control_d.$auth.api_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}}

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