Integrate the Personio API with the Python API

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

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Popular Ways to Connect Personio with Python#

Run Python Code with Python API on New Employee Created from Personio API

Personio + Python

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Popular Personio and Python Triggers#

New Employee Created from the Personio API

Emit new event when a new employee is created.

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Popular Personio and Python Actions#

Create Application with the Personio API

Creates a new application. 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 Employee with the Personio API

Creates a new employee. See the documentation

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List Employees with the Personio API

Get a list of the company employees. See the documentation

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Overview of Personio#

The Personio API provides programmatic access to HR management functions, allowing you to manage employee data, time tracking, payroll, and recruitment processes. With Pipedream, you can leverage this API to create automations and workflows that can streamline HR operations, react to events in Personio in real-time, and connect HR data to other systems seamlessly.

Connect Personio#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    personio: {
      type: "app",
      app: "personio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.personio.de/v1/company/attendances/projects`,
      headers: {
        Authorization: `Bearer ${this.personio.$auth.oauth_access_token}`,
        "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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