Integrate the Toggl Track API with the Python API

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

Popular Ways to Connect Toggl Track with Python#

Run Python Code with Python API on New Start Time Entry (Instant) from Toggl Track API

Toggl Track + Python

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Run Python Code with Python API on New Time Entry (Instant) from Toggl Track API

Toggl Track + Python

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Run Python Code with Python API on New Update Time Entry (Instant) from Toggl Track API

Toggl Track + Python

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Run Python Code with Python API on New Webhook Event (Instant) from Toggl Track API

Toggl Track + Python

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Popular Toggl Track and Python Triggers#

New Start Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is started. See docs here

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New Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is created. See docs here

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New Update Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is updated. See docs here

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New Webhook Event (Instant) from the Toggl Track API

Emit new event on receive a webhook event. See docs here

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Popular Toggl Track and Python Actions#

Get Current Time Entry with the Toggl Track API

Get the time entry that is running now. [See docs here]https://developers.track.toggl.com/docs/api/time_entries#get-get-current-time-entry)

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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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Get Time Entries with the Toggl Track API

Get the last thousand time entries. See docs here

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Get Time Entry with the Toggl Track API

Get details about a specific time entry. See docs here

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Overview of Toggl Track#

Toggl Track is a time tracking API that lets you start, stop, and manage timers and time entries, as well as manage projects, clients, and tasks associated with time records. With the Toggl Track API on Pipedream, you can automate time tracking activities, synchronize data across platforms, and generate insights from time tracking data to improve productivity and project management.

Connect Toggl Track#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    toggl: {
      type: "app",
      app: "toggl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.track.toggl.com/api/v9/me`,
      auth: {
        username: `${this.toggl.$auth.api_token}`,
        password: `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}}