Integrate the Recruitis API with the MongoDB API

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

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Popular Ways to Connect Recruitis with MongoDB#

Create Answer with Recruitis API on New Collection from MongoDB API

MongoDB + Recruitis

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Create Answer with Recruitis API on New Database from MongoDB API

MongoDB + Recruitis

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Create Answer with Recruitis API on New Document from MongoDB API

MongoDB + Recruitis

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Create Answer with Recruitis API on New Field in Document from MongoDB API

MongoDB + Recruitis

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Create Candidate with Recruitis API on New Collection from MongoDB API

MongoDB + Recruitis

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Popular Recruitis and MongoDB Triggers#

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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New Document from the MongoDB API

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

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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

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Popular Recruitis and MongoDB Actions#

Create Answer with the Recruitis API

Create a new answer for a job. 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 Recruitis API

Create a new candidate. 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 Job with the Recruitis API

Creates a new job ad and puts it in classifieds. See the documentation

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Overview of Recruitis#

The Recruitis API is a tool designed to streamline the recruitment process by allowing developers to automate and integrate different parts of the recruitment workflow. Using Pipedream, you could leverage the Recruitis API to create custom serverless workflows, connecting various apps and services to automate tasks such as candidate screening, interview scheduling, feedback collection, and more. Pipedream’s capability to trigger workflows on specific events, and to connect with numerous other apps, makes it particularly suited for enhancing the efficiency of recruitment processes with the Recruitis API.

Connect Recruitis#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    recruitis: {
      type: "app",
      app: "recruitis",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.recruitis.io/api2/me`,
      headers: {
        Authorization: `Bearer ${this.recruitis.$auth.api_token}`,
      },
    })
  },
})

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()
  },
})

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