Integrate the Qualetics API with the MongoDB API

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

Popular Ways to Connect Qualetics with MongoDB#

Run Data Machine with Qualetics API on New Collection from MongoDB API

MongoDB + Qualetics

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Run Data Machine with Qualetics API on New Database from MongoDB API

MongoDB + Qualetics

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Run Data Machine with Qualetics API on New Document from MongoDB API

MongoDB + Qualetics

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Run Data Machine with Qualetics API on New Field in Document from MongoDB API

MongoDB + Qualetics

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Send Data with Qualetics API on New Collection from MongoDB API

MongoDB + Qualetics

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Popular Qualetics 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 Qualetics and MongoDB Actions#

Run Data Machine with the Qualetics API

Initiates a previously designed data machine within Qualetics, executing the specific analytical tasks it was built for. 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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Send Data with the Qualetics API

Send an event with data to the system. 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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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

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Overview of Qualetics#

The Qualetics API provides data intelligence as a service, allowing you to transform your data into actionable insights. With this API, you can perform advanced data analysis, predict trends, and generate reports to make informed decisions swiftly. On Pipedream, Qualetics can be integrated into workflows to automate data analysis, connect with other services for enriched data operations, and trigger actions based on the insights derived.

Connect Qualetics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    qualetics: {
      type: "app",
      app: "qualetics",
    }
  },
  async run({steps, $}) {
    const data = {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}};//"{{your_data}}";
    //E.g. {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}}
    return await axios($, {
      method: "post",
      url: `https://mq.qualetics.com/api/sendmessage?client_id=${this.qualetics.$auth.app_prefix}`,
      headers: {
        Authorization: `Bearer ${this.qualetics.$auth.oauth_access_token}`,      
      },
      data,
    })
  },
})

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()
  },
})