Integrate the Mews API with the Python API

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

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Popular Mews 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 Mews#

The Mews API is a gateway for developers to interact with the Mews hospitality platform, allowing for innovative connections and automations between hotel management systems and other software tools. By using Pipedream, you can create custom workflows that automate repetitive tasks, integrate with numerous third-party services, and manipulate data to suit specific needs within the hospitality industry. The combination of Mews' API and Pipedream's serverless execution model paves the way for enhanced guest experiences, optimized operations, and real-time data handling.

Connect Mews#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mews: {
      type: "app",
      app: "mews",
    }
  },
  async run({steps, $}) {
    const data = {
      "ClientToken": `${this.mews.$auth.ClientToken}`,
      "AccessToken": `${this.mews.$auth.AccessToken}`,
      "Client": `${this.mews.$auth.Client}`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.mews.$auth.platform_url}/api/connector/v1/configuration/get`,
      auth: {
        username: `{{custom_fields.email}}`,
        password: `{{custom_fields.password}}`,
      },
      data,
    })
  },
})

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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