Integrate the Workiz API with the Python API

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

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Popular Ways to Connect Workiz with Python#

Run Python Code with Python API on New Job Created from Workiz API

Workiz + Python

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Run Python Code with Python API on New Lead Created from Workiz API

Workiz + Python

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Popular Workiz and Python Triggers#

New Job Created from the Workiz API

Emit new event when a new job is created in Workiz. See the documentation

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New Lead Created from the Workiz API

Emit new event when a new lead is created in Workiz. See the documentation

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Popular Workiz and Python Actions#

Create Job with the Workiz API

Creates a new job in Workiz. See the documentation

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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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Create Lead with the Workiz API

Create a new lead in Workiz. See the documentation

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Overview of Workiz#

The Workiz API opens up a world of possibilities for managing field service operations. By tapping into Workiz with Pipedream, you can automate workflows, sync data across apps, and react to events in real-time. Whether you're automating job scheduling, dispatch notifications, or customer follow-ups, integrating Workiz with Pipedream allows you to streamline operations, reduce manual entry, and keep your team in sync.

Connect Workiz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workiz: {
      type: "app",
      app: "workiz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.workiz.com/api/v1/${this.workiz.$auth.api_token}/team/all/`,
      headers: {
        "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}}

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