Workiom

An online No-Code Platform for teams and companies to manage their Data & Tasks using automation and advance collaboration features

Integrate the Workiom API with the Python API

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

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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.

 
Try it

Overview of Workiom

Workiom is a no-code platform that helps teams build custom work management apps. The Workiom API allows for extensive customization and automation, enabling you to streamline business processes by connecting your custom apps with a multitude of other services. With the API, you can create, read, update, and delete records, manage lists, and automate tasks within your Workiom apps. By leveraging Pipedream's capabilities, you can integrate Workiom with hundreds of other apps to automate workflows, sync data across platforms, and trigger actions based on events from any connected service.

Connect Workiom

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workiom: {
      type: "app",
      app: "workiom",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.workiom.com/api/services/app/Apps/GetAll`,
      headers: {
        "Accept": `text/plain`,
        "X-Api-Key": `${this.workiom.$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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo