Integrate the Maestra API with the MongoDB API

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

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Popular Ways to Connect Maestra with MongoDB#

Create New Document with MongoDB API on New File Added from Maestra API

Maestra + MongoDB

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Delete a Document with MongoDB API on New File Added from Maestra API

Maestra + MongoDB

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Execute Aggregation with MongoDB API on New File Added from Maestra API

Maestra + MongoDB

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Find Document by Id with MongoDB API on New File Added from Maestra API

Maestra + MongoDB

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Find Document with MongoDB API on New File Added from Maestra API

Maestra + MongoDB

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Popular Maestra and MongoDB Triggers#

New File Added from the Maestra API

Emit new event when a new file is added to a project in Maestra. See the documentation

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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 Maestra 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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Translate File with the Maestra API

Translates an existing file in the Maestra 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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Upload File with the Maestra API

Initiates a new file upload to Maestra. See the documentation

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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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Overview of Maestra#

The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.

Connect Maestra#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    maestra: {
      type: "app",
      app: "maestra",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.maestra.$auth.base_url}/api/getCredits`,
      headers: {
        "apiKey": `${this.maestra.$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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