Integrate the Timing API with the Python API

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

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Popular Ways to Connect Timing with Python#

Run Python Code with Python API on New Project Created from Timing API

Timing + Python

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Run Python Code with Python API on New Time Entry from Timing API

Timing + Python

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Run Python Code with Python API on New Timer Started Running from Timing API

Timing + Python

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Popular Timing and Python Triggers#

New Project Created from the Timing API

Emit new event each time a new project is created

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New Time Entry from the Timing API

Emit new event each time a new time entry is created in Timing

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New Timer Started Running from the Timing API

Emit new event each time a new timer is started

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Popular Timing and Python Actions#

Create Time Entry with the Timing API

Generates a new time entry in Timing app. 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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Start Timer with the Timing API

Starts a new ongoing timer as per the current timestamp or specified start date. See the documentation

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Stop Timer with the Timing API

Stop the currently running timer. See the documentation

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Overview of Timing#

The Timing app provides detailed time tracking capabilities, enabling users to automatically log time spent on various tasks and improve productivity. Using Pipedream’s integration, one could build workflows that trigger when new time entries are created, sync time data with other project management tools, or compile reports for invoicing and accountability. It's all about harnessing the power of automated time tracking to streamline processes.

Connect Timing#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timing: {
      type: "app",
      app: "timing",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://web.timingapp.com/api/v1/projects`,
      headers: {
        Authorization: `Bearer ${this.timing.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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