Integrate the Talenox API with the Python API

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

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Popular Talenox and Python Actions#

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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Overview of Talenox#

Talenox is a cloud-based HR software designed to handle payroll, leave, and employee records. With the Talenox API, you can automate various HR processes and integrate employee data across your business systems. On Pipedream, you can build workflows that trigger on events within Talenox or connect to other apps to streamline HR operations, manage staff details, automate payroll calculations, and synchronize employee data with other services like CRMs, messaging platforms, or time-tracking apps.

Connect Talenox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    talenox: {
      type: "app",
      app: "talenox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.talenox.com/api/v2/employees`,
      headers: {
        Authorization: `Bearer ${this.talenox.$auth.api_token}`,
        "Accept": `application/json`,
        "Content-Type": `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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