Greenhouse

Talent Acquisition suite built for structured hiring

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.

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 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

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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: ``,
      },
    })
  },
})

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

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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}}