Integrate the TrackingTime API with the Python API

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

Popular TrackingTime and Python Actions#

Start Tracking Time with the TrackingTime API

Start tracking time of a task. See the documentation

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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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Stop Tracking Time with the TrackingTime API

Stop tracking time of a task. See the documentation

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Overview of TrackingTime#

The TrackingTime API enables the automation of time tracking, task management, and reporting processes. In Pipedream, you can use this API to create powerful workflows that connect TrackingTime with other apps to streamline productivity, enhance project management, and generate insights on time allocation. Automate tasks based on project activities, sync time entries with calendars, or trigger notifications based on tracked time data.

Connect TrackingTime#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trackingtime: {
      type: "app",
      app: "trackingtime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.trackingtime.co/api/v4/users`,
      auth: {
        username: `API_TOKEN`,
        password: `${this.trackingtime.$auth.app_password}`,
      },
    })
  },
})

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}}