Integrate the Darwinbox API with the Python API

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

Popular Darwinbox 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.

Try it

Overview of Darwinbox#

Darwinbox is a cloud-based Human Resources Management System (HRMS) that streamulates HR processes from recruitment to retirement. With the Darwinbox API, you can automate various HR tasks such as employee onboarding, performance appraisals, and leave management. The API allows you to synchronize employee data across different systems, automate HR workflows, and build custom integrations to extend the capabilities of your HR tech stack.

Connect Darwinbox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    darwinbox: {
      type: "app",
      app: "darwinbox",
    }
  },
  async run({steps, $}) {
    const data = {
      "username": `${this.darwinbox.$auth.username}`,
      "password": `${this.darwinbox.$auth.password}`,
      "api_key": `[AES256 encrypted string of(${this.darwinbox.$auth.api_key})]`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.darwinbox.$auth.subdomain}.darwinbox.in/loginapi/employee`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.darwinbox.$auth.username}`,
        password: `${this.darwinbox.$auth.password}`,
      },
      data,
    })
  },
})

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}}