Integrate the Timeular API with the Python API

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

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Popular Ways to Connect Timeular with Python#

Run Python Code with Python API on New Time Entry Created (Instant) from Timeular API

Timeular + Python

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Run Python Code with Python API on New Time Entry Updated (Instant) from Timeular API

Timeular + Python

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Popular Timeular and Python Triggers#

New Time Entry Created (Instant) from the Timeular API

Emit new event when a time entry is created.

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New Time Entry Updated (Instant) from the Timeular API

Emit new event when a time entry is updated.

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Popular Timeular and Python Actions#

Create Activity with the Timeular API

Creates a new activity. 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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Create Tag with the Timeular API

Creates a new tag within the given space and scope. See the documentation

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Create Time Entry with the Timeular API

Creates a new time entry. See the documentation

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Overview of Timeular#

The Timeular API lets you track, analyze, and manage your time directly, integrating your time tracking activities with other apps and automations. With Pipedream, you can harness the API to create custom workflows, such as triggering events based on time tracking data, syncing time entries with project management tools, or even automating invoicing processes based on tracked time. It's about connecting Timeular's detailed time tracking capabilities with other services to streamline productivity and reporting.

Connect Timeular#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timeular: {
      type: "app",
      app: "timeular",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.timeular.com/api/v3/me`,
      headers: {
        Authorization: `Bearer ${this.timeular.$auth.oauth_access_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}}

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