Integrate the Kanbanize API with the Python API

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

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Popular Kanbanize and Python Actions#

Create New Task with the Kanbanize API

Create New Task. See the 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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Edit Task with the Kanbanize API

Edit Task. See the docs here

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List Tasks with the Kanbanize API

Get All Tasks. See the docs here

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Overview of Kanbanize#

The Kanbanize API enables the automation of complex project management workflows within Kanban boards. By leveraging the API, you can create, update, and move cards, manage board configurations, and integrate real-time updates with other tools. It's a powerful way to streamline project tracking, automate task assignments, and synchronize data across various project management platforms.

Connect Kanbanize#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kanbanize: {
      type: "app",
      app: "kanbanize",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.kanbanize.$auth.subdomain}.kanbanize.com/api/v2/users`,
      headers: {
        "apikey": `${this.kanbanize.$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#

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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