Integrate the ReisHost API with the Python API

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

Popular ReisHost and Python Actions#

Send Console Command with the ReisHost API

Runs a command on your server's console, providing direct command execution flexibility.

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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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Overview of ReisHost#

ReisHost API provides integration options for managing hosting services, including server management, domain handling, and billing processes. It's designed for web hosting companies that need to automate and streamline their operations. By integrating the ReisHost API with Pipedream, users can create customized workflows that automate routine tasks, synchronize data across multiple platforms, and react to specific triggers from the ReisHost system, such as new user registrations or payment confirmations.

Connect ReisHost#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    reishost: {
      type: "app",
      app: "reishost",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.reishost.$auth.endpoint_structure}/api/client/account`,
      headers: {
        Authorization: `Bearer ${this.reishost.$auth.api_key}`,
        "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}}