Miro Developer App

The Visual Collaboration Platform for Every Team.

Integrate the Miro Developer App API with the MongoDB API

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

Create Board with Miro Developer App API on New Collection from MongoDB API
MongoDB + Miro Developer App
 
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Create Board with Miro Developer App API on New Database from MongoDB API
MongoDB + Miro Developer App
 
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Create Board with Miro Developer App API on New Document from MongoDB API
MongoDB + Miro Developer App
 
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Create Board with Miro Developer App API on New Field in Document from MongoDB API
MongoDB + Miro Developer App
 
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Create New Document with MongoDB API on Item Position Changed from Miro Developer App API
Miro Developer App + MongoDB
 
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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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Item Position Changed from the Miro Developer App API

Emit new event when an item's position changes in a Miro Custom App.

 
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Create Board with the Miro Developer App API

Creates a Miro board. See the docs.

 
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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 Shape with the Miro Developer App API

Creates a shape on a Miro board. See the docs.

 
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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 Sticky Note with the Miro Developer App API

Creates a sticky note on a Miro board. See the docs.

 
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Overview of Miro Developer App

The Miro Developer App API lets you extend the functionality of Miro, an online collaborative whiteboarding platform. On Pipedream, you can automate interactions with Miro boards, such as creating or updating content, and extracting data for reporting or integration purposes. This can streamline collaboration and project management by automating repetitive tasks and connecting Miro with other tools and services.

Connect Miro Developer App

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    miro_custom_app: {
      type: "app",
      app: "miro_custom_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.miro.com/v2/boards`,
      headers: {
        Authorization: `Bearer ${this.miro_custom_app.$auth.access_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

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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()
  },
})