Integrate the Pusher API with the MongoDB API

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

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Popular Ways to Connect Pusher with MongoDB#

Send an Event to a Channel with Pusher API on New Collection from MongoDB API

MongoDB + Pusher

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Send an Event to a Channel with Pusher API on New Database from MongoDB API

MongoDB + Pusher

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Send an Event to a Channel with Pusher API on New Document from MongoDB API

MongoDB + Pusher

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Send an Event to a Channel with Pusher API on New Field in Document from MongoDB API

MongoDB + Pusher

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Popular Pusher 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 Pusher and MongoDB Actions#

Send an Event to a Channel with the Pusher API

Send an event to a channel using Pusher's npm package

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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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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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Overview of Pusher#

The Pusher API offers real-time communication capabilities for apps, enabling instant data delivery. With Pipedream, you can harness these features to create dynamic, real-time workflows that react to events, update clients immediately, and synchronize data across users and systems. It's perfect for powering live dashboards, instant notifications, chat applications, and any scenario where you need to push updates quickly and efficiently. Pipedream's serverless platform empowers you to build and run workflows that leverage Pusher's APIs without managing any infrastructure.

Connect Pusher#

module.exports = defineComponent({
  props: {
    pusher: {
      type: "app",
      app: "pusher",
    }
  },
  async run({steps, $}) {
    const Pusher = require('pusher')
    
    const { appId, key, secret, cluster } = this.pusher.$auth
    const pusher = new Pusher({
      appId,
      key,
      secret,
      cluster,
      useTLS: true
    })
    
    await pusher.trigger('my-channel', 'my-event', {
      "message": "hello world"
    })
  },
})

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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