Integrate the Clockify API with the Python API

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

Popular Clockify and Python Actions#

Add Members To Project with the Clockify API

Adds member(s) to a project in Clockify. See the documentation

Try it

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

Add Task To Project with the Clockify API

Adds a task to a project in Clockify. See the documentation

Try it

Create Project with the Clockify API

Creates a new project in Clockify. See the documentation

Try it

Overview of Clockify#

Clockify is a time tracking and timesheet app that provides a straightforward way to track work hours across projects. With the Clockify API on Pipedream, you can automate time tracking, create detailed reports, manage projects, and sync timesheet data with other apps. Using Pipedream, you can create workflows that trigger on events in Clockify or other apps, process the data, and perform actions like logging time automatically, sending notifications, or creating invoices based on tracked time.

Connect Clockify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clockify: {
      type: "app",
      app: "clockify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clockify.me/api/v1/user`,
      headers: {
        "X-Api-Key": `${this.clockify.$auth.api_key}`,
        "content-type": `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}}