Integrate the KanbanFlow API with the Python API

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

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Popular Ways to Connect KanbanFlow with Python#

Run Python Code with Python API on Task Created from KanbanFlow API

KanbanFlow + Python

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Run Python Code with Python API on Task Moved from KanbanFlow API

KanbanFlow + Python

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Popular KanbanFlow and Python Triggers#

Task Created from the KanbanFlow API

Emit new event when a new task is created

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Task Moved from the KanbanFlow API

Emit new event when a task is moved

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Popular KanbanFlow and Python Actions#

Create Task with the KanbanFlow API

Create a task (docs available on board settings)

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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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Overview of KanbanFlow#

The KanbanFlow API unlocks the potential for creating customized, automated workflows to enhance productivity and streamline task management. By tapping into this API via Pipedream, developers can craft serverless functions that interact with KanbanFlow boards, tasks, users, and time tracking features. These automations can range from syncing tasks across platforms to triggering notifications based on task updates.

Connect KanbanFlow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kanbanflow: {
      type: "app",
      app: "kanbanflow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://kanbanflow.com/api/v1/users`,
      params: {
        apiToken: `${this.kanbanflow.$auth.api_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}}

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