Integrate the Workboard API with the Python API

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

Start for free — no credit card required

Watch a demo

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

Popular Workboard 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.

Try it

Overview of Workboard#

The Workboard API enables you to interact with Workboard's platform programmatically, allowing for the automation of tasks related to goal setting, action item tracking, and performance metrics. By deploying workflows on Pipedream, you can connect Workboard to a multitude of other apps, triggering actions and exchanging data to streamline your organization's operations and decision-making processes. A well-integrated system can save time, reduce errors, and provide real-time insights into team performance and project progress.

Connect Workboard#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workboard: {
      type: "app",
      app: "workboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.myworkboard.com/wb/apis/user/`,
      headers: {
        Authorization: `Bearer ${this.workboard.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo