Integrate the MaintainX API with the Python API

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

Popular Ways to Connect MaintainX with Python#

Run Python Code with Python API on New Work Order Completed from MaintainX API

MaintainX + Python

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Popular MaintainX and Python Triggers#

New Work Order Completed from the MaintainX API

Emit new event each time a new work order is completed.

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Popular MaintainX and Python Actions#

Create Work Order with the MaintainX API

Creates a work order. See docs here

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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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Send Message with the MaintainX API

Send message to a conversation. See docs here

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Update Work Order with the MaintainX API

Updates a work order. See docs here

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Overview of MaintainX#

The MaintainX API lets you automate workflows related to work orders, assets, and maintenance activities within the MaintainX platform. With this API on Pipedream, you can build serverless workflows to react to events, sync data, and connect MaintainX to other apps and services, creating a seamless integration hub for facility and equipment management tasks.

Connect MaintainX#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    maintainx: {
      type: "app",
      app: "maintainx",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getmaintainx.com/v1/users`,
      headers: {
        Authorization: `Bearer ${this.maintainx.$auth.api_key}`,
        "Content-Type": `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}}