Integrate the Breathe API with the Python API

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

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Popular Ways to Connect Breathe with Python#

Run Python Code with Python API on Employee Updated from Breathe API

Breathe + Python

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

Breathe + Python

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Run Python Code with Python API on New Leave Request Created from Breathe API

Breathe + Python

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Popular Breathe and Python Triggers#

Employee Updated from the Breathe API

Emit new event when an existing employee is updated in Breathe. See the documentation

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New Employee Created from the Breathe API

Emit new event when a new employee is created in Breathe. See the documentation.

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New Leave Request Created from the Breathe API

Emit new event when a new employee leave request is created in Breathe. See the documentation

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Popular Breathe and Python Actions#

Approve or Reject Leave Request with the Breathe API

Approve or reject an employee leave request in Breathe. 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 Breathe API

Creates a new employee in Breathe. See the documentation

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Create Leave Request with the Breathe API

Creates a new leave request for an employee in Breathe. See the documentation

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Connect Breathe#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    breathe: {
      type: "app",
      app: "breathe",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.breathe.$auth.api_url}/v1/account`,
      headers: {
        "x-api-key": `${this.breathe.$auth.api_key}`,
      },
    })
  },
})

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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