Integrate the Breezy HR API with the Python API

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

Popular Breezy HR 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.

Overview of Breezy HR#

The Breezy HR API allows developers to interact with Breezy HR data in order to
build applications that can perform various Human Resources-related tasks. Some
examples of what you can build using the Breezy HR API include:

An application that can help job seekers create and manage their resumes
A tool that helps managers post job openings and track applications
A tool that helps businesses keep track of employee vacation days
An application that helps employees find internal job openings
A tool that helps businesses track the progress of job applicants through the
hiring process

Connect Breezy HR#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    breezy_hr: {
      type: "app",
      app: "breezy_hr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.breezy.hr/v3/user`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.breezy_hr.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}