Integrate the Kadoa API with the Python API

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

Popular Ways to Connect Kadoa with Python#

Run Python Code with Python API on New Workflow Finished (Instant) from Kadoa API

Kadoa + Python

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Popular Kadoa and Python Triggers#

New Workflow Finished (Instant) from the Kadoa API

Emit new event when a Kadoa workflow finishes.

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Popular Kadoa 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.

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Start Kadoa Workflow with the Kadoa API

Triggers a Kadoa workflow using Pipedream. See the documentation

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Overview of Kadoa#

The Kadoa API enables automation and integration of Kadoa's time tracking and project management features. With it, you can manage projects, tasks, time entries, and extract reports programmatically. When combined with Pipedream's ability to connect to hundreds of other services and create complex workflows, the potential for increased efficiency and data connectivity is significant. You can trigger workflows on Pipedream with HTTP requests, schedule them, or even run them in response to emails, among other methods.

Connect Kadoa#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kadoa: {
      type: "app",
      app: "kadoa",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.kadoa.com/v2/controller/overview`,
      headers: {
        "x-api-key": `${this.kadoa.$auth.api_key}`,
        "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}}