TrackingTime

The best TimeTracking app for productive freelancers and teams. Bring your Productivity to the next level!

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.

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

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}