Integrate the Greenhouse API with the Python API

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

Popular Greenhouse 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 Greenhouse#

Greenhouse is a recruitment software platform that helps companies source,
hire, and onboard employees. With the Greenhouse API, you can access data
about:

Job postings
Applicants
Interviews
Offers
Hires

This data can be used to create custom applications or integrations that help
streamline your recruiting process. Some examples of what you can build with
the Greenhouse API include:

A tool that allows candidates to apply for multiple positions with a single
click
A dashboard that displays real-time data about your hiring pipeline
An integration with your HRIS system that automatically creates profiles for
new hires
A chatbot that answers questions about open positions or the hiring process

Connect Greenhouse#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    greenhouse: {
      type: "app",
      app: "greenhouse",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://harvest.greenhouse.io/v1/user_roles`,
      auth: {
        username: `${this.greenhouse.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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}}