Integrate the Async Interview API with the MongoDB API

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

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Popular Ways to Connect Async Interview with MongoDB#

Create New Document with MongoDB API on New Interview Response from Async Interview API

Async Interview + MongoDB

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Delete a Document with MongoDB API on New Interview Response from Async Interview API

Async Interview + MongoDB

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Execute Aggregation with MongoDB API on New Interview Response from Async Interview API

Async Interview + MongoDB

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Find Document by Id with MongoDB API on New Interview Response from Async Interview API

Async Interview + MongoDB

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Find Document with MongoDB API on New Interview Response from Async Interview API

Async Interview + MongoDB

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Popular Async Interview and MongoDB Triggers#

New Interview Response from the Async Interview API

Emit new event when a new interview response is received.

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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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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 Async Interview and MongoDB Actions#

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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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

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Overview of Async Interview#

The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.

Connect Async Interview#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    async_interview: {
      type: "app",
      app: "async_interview",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.asyncinterview.ai/api/jobs`,
      headers: {
        Authorization: `Bearer ${this.async_interview.$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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