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.
Popular Greenhouse and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Greenhouse#
The Greenhouse API offers a powerful suite of tools for automating and enhancing the recruitment process. It allows you to programmatically access candidate information, job listings, scorecards, and scheduling details, which opens a myriad of possibilities for streamlining recruiting workflows. By leveraging the Greenhouse API on Pipedream, you can automate repetitive tasks, integrate with other HR systems, analyze recruitment data, and build custom event-driven workflows to improve the efficiency and effectiveness of your 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: ``,
},
})
},
})
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}}