Integrate the actiTIME API with the Python API

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

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Popular Ways to Connect actiTIME with Python#

Run Python Code with Python API on New Customer (Instant) from actiTIME API

actiTIME + Python

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Run Python Code with Python API on New Task (Instant) from actiTIME API

actiTIME + Python

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Run Python Code with Python API on Updated Time Track (Instant) from actiTIME API

actiTIME + Python

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Popular actiTIME and Python Triggers#

New Customer (Instant) from the actiTIME API

Emit new event when a new customer is created. See the documentation.

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New Task (Instant) from the actiTIME API

Emit new event when a new task is created. See the documentation.

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Updated Time Track (Instant) from the actiTIME API

Emit new event when the user's working time is updated. See the documentation.

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Popular actiTIME and Python Actions#

Create Customer with the actiTIME API

Creates a new customer. 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 Task with the actiTIME API

Creates a new task. See the documentation.

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Modify Leave Time with the actiTIME API

Changes the existing leave time record with a given value in actiTIME. See the documentation.

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Connect actiTIME#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    actitime: {
      type: "app",
      app: "actitime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.actitime.$auth.url}/api/v1/users`,
      auth: {
        username: `${this.actitime.$auth.email}`,
        password: `${this.actitime.$auth.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}}

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