Integrate the Convenia API with the Python API

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

Popular Ways to Connect Convenia with Python#

Run Python Code with Python API on New Dismissal from Convenia API

Convenia + Python

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Run Python Code with Python API on New Vacation Request from Convenia API

Convenia + Python

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Popular Convenia and Python Triggers#

New Dismissal from the Convenia API

Emit new event when an employee is dismissed.

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New Vacation Request from the Convenia API

Emit new event when there is a new vacation request at the company.

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Popular Convenia and Python Actions#

Create Leave Of Absence For Employee with the Convenia API

Creates a new leave of absence for an employee. 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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Overview of Convenia#

The Convenia API offers a suite of HR management functionalities, allowing for the automation of employee onboarding, payroll management, and other HR tasks. By integrating with Convenia via Pipedream, you can streamline HR operations, sync employee data across applications, and trigger actions based on various HR events. Pipedream's serverless platform facilitates the creation of complex workflows to interact with the Convenia API, enabling developers and HR professionals to build custom automations without managing infrastructure.

Connect Convenia#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    convenia: {
      type: "app",
      app: "convenia",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://public-api.convenia.com.br/api/v3/employees`,
      headers: {
        "token": `${this.convenia.$auth.api_token}`,
      },
    })
  },
})

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}}