Integrate the ClickTime API with the Python API

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

Popular ClickTime 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.

Overview of ClickTime#

The ClickTime API provides programmatic access to the ClickTime platform, which specializes in time tracking and project management. Leveraging this API within Pipedream allows you to automate various aspects of time tracking, employee management, and reporting. For example, you can create workflows that sync time entry data with other systems, automate notifications based on time tracking metrics, or even manage projects and tasks dynamically. Pipedream's serverless platform facilitates these automations by triggering workflows with HTTP requests, schedules, or app-based events, and offers the capability to connect to numerous other services and APIs to extend functionality further.

Connect ClickTime#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clicktime: {
      type: "app",
      app: "clicktime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clicktime.com/v2/me`,
      headers: {
        "Authorization": `Token ${this.clicktime.$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}}