What do you want to automate
with Greenhouse and Data Stores?
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Popular Ways to Connect Greenhouse with Data Stores#
Popular Greenhouse and Data Stores Triggers#
Emit new event when a candidate submits a new application.
Emit new event when a candidate's application or status changes.
Emit new event when a new interview is scheduled within a specific time period.
Popular Greenhouse and Data Stores Actions#
Adds an attachment to a specific candidate or prospect. See the documentation
Add or update a single record in your Pipedream Data Store
Creates a new candidate entry in Greenhouse. See the documentation
Add or update multiple records to your Pipedream Data Store
Creates a new prospect entry in Greenhouse. See the documentation
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 Data Stores#
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
Connect Data Stores#
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies