Integrate the Mailbluster API with the MongoDB API

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

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Popular Ways to Connect Mailbluster with MongoDB#

Create New Document with MongoDB API on New Order Created from Mailbluster API

Mailbluster + MongoDB

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Create New Document with MongoDB API on New Product Created from Mailbluster API

Mailbluster + MongoDB

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Create New Lead with Mailbluster API on New Collection from MongoDB API

MongoDB + Mailbluster

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Create New Lead with Mailbluster API on New Database from MongoDB API

MongoDB + Mailbluster

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Create New Lead with Mailbluster API on New Document from MongoDB API

MongoDB + Mailbluster

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Popular Mailbluster and MongoDB Triggers#

New Order Created from the Mailbluster API

Emit new event when a new order is created.

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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 Product Created from the Mailbluster API

Emit new event when a new product is created.

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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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Popular Mailbluster and MongoDB Actions#

Create New Lead with the Mailbluster API

Create a new lead. 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 New Order with the Mailbluster API

Create a new order. 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 New Product with the Mailbluster API

Create a new product. See the documentation

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Overview of Mailbluster#

Mailbluster is an API for managing email marketing campaigns, allowing for the creation, sending, and tracking of email newsletters. With Pipedream, you can automate workflows involving Mailbluster to send personalized emails, sync subscriber lists, and analyze campaign performance without the need to write code. By leveraging Pipedream's serverless platform, you can connect Mailbluster with various apps, set up triggers based on certain conditions, and create complex email sequences effortlessly.

Connect Mailbluster#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailbluster: {
      type: "app",
      app: "mailbluster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mailbluster.com/api/products`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.mailbluster.$auth.api_key}`,
      },
    })
  },
})

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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