Integrate the HotspotSystem API with the Python API

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

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Popular Ways to Connect HotspotSystem with Python#

Run Python Code with Python API on New Customer Created from HotspotSystem API

HotspotSystem + Python

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Run Python Code with Python API on New Subscriber Created from HotspotSystem API

HotspotSystem + Python

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Popular HotspotSystem and Python Triggers#

New Customer Created from the HotspotSystem API

Emit new event when a new customer in a location is created. See the docs.

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New Subscriber Created from the HotspotSystem API

Emit new event when a new subscriber in a location is created. See the docs.

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Popular HotspotSystem 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 HotspotSystem#

The HotspotSystem API enables automation of hotspot management tasks, such as creating and managing user accounts, adjusting access packages, and retrieving usage statistics. Leveraging Pipedream's capabilities, you can build powerful workflows to interact with this API, automating tasks that otherwise would take considerable manual effort. Use Pipedream to integrate HotspotSystem with a myriad of services for notifications, data analysis, customer management, and more, all in real-time.

Connect HotspotSystem#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hotspotsystem: {
      type: "app",
      app: "hotspotsystem",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.hotspotsystem.com/v2.0/me`,
      headers: {
        "sn-apikey": `${this.hotspotsystem.$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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