Integrate the Govee API with the Python API

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

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Popular Govee and Python Actions#

Control Device with the Govee API

Send a command to control a Govee device, such as turning it on/off, changing its brightness, or adjusting its color. 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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Retrieve Device Info with the Govee API

Retrieve the current status and metadata of a specific Govee device, such as its power state, color, mode, and health. See the documentation

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Overview of Govee#

The Govee API enables you to interact with your Govee smart home devices. Through Pipedream, you can automate actions like adjusting lighting color and brightness, monitoring temperature and humidity levels, and creating alerts based on the state of your devices. With Pipedream's capability to join multiple APIs, these interactions can become intelligent responses to inputs from other sources, such as calendars, weather services, or IoT triggers.

Connect Govee#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    govee: {
      type: "app",
      app: "govee",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://openapi.api.govee.com/router/api/v1/user/devices`,
      headers: {
        "Govee-API-Key": `${this.govee.$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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