Integrate the Greenhouse API with the MongoDB API

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

Popular Ways to Connect Greenhouse with MongoDB#

Add Attachment to Candidate with Greenhouse API on New Collection from MongoDB API

MongoDB + Greenhouse

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Add Attachment to Candidate with Greenhouse API on New Database from MongoDB API

MongoDB + Greenhouse

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Add Attachment to Candidate with Greenhouse API on New Document from MongoDB API

MongoDB + Greenhouse

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Add Attachment to Candidate with Greenhouse API on New Field in Document from MongoDB API

MongoDB + Greenhouse

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Create Candidate with Greenhouse API on New Collection from MongoDB API

MongoDB + Greenhouse

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Popular Greenhouse and MongoDB Triggers#

New Candidate Application from the Greenhouse API

Emit new event when a candidate submits a new application.

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New Candidate Watching from the Greenhouse API

Emit new event when a candidate's application or status changes.

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New Scheduled Interview from the Greenhouse API

Emit new event when a new interview is scheduled within a specific time period.

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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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Popular Greenhouse and MongoDB Actions#

Add Attachment to Candidate with the Greenhouse API

Adds an attachment to a specific candidate or prospect. See the documentation

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Create Candidate with the Greenhouse API

Creates a new candidate entry in Greenhouse. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Create Prospect with the Greenhouse API

Creates a new prospect entry in Greenhouse. See the documentation

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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 MongoDB#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})