Netatmo

Manufacturers of smart, functional and innovative products that make the home truly smart.

Integrate the Netatmo API with the Python API

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

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.

 
Try it

Overview of Netatmo

The Netatmo API gives you access to data from your Netatmo weather station and connected devices, letting you track weather and air quality, monitor home security, and automate smart home reactions. Using Pipedream, these capabilities open up a world of possibilities for creating workflows that harness real-time environmental data, trigger actions based on weather events, and integrate with a myriad of other services available on Pipedream’s platform.

Connect Netatmo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    netatmo: {
      type: "app",
      app: "netatmo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.netatmo.com/api/getpublicdata?lat_ne=10&lon_ne=10&lat_sw=10&lon_sw=10&filter=false`,
      headers: {
        Authorization: `Bearer ${this.netatmo.$auth.oauth_access_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

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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}}