Integrate the ElevenLabs API with the MongoDB API

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

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Popular Ways to Connect ElevenLabs with MongoDB#

Add Voice with ElevenLabs API on New Collection from MongoDB API

MongoDB + ElevenLabs

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Add Voice with ElevenLabs API on New Database from MongoDB API

MongoDB + ElevenLabs

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Add Voice with ElevenLabs API on New Document from MongoDB API

MongoDB + ElevenLabs

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Add Voice with ElevenLabs API on New Field in Document from MongoDB API

MongoDB + ElevenLabs

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Create New Document with MongoDB API on New History Item Created from ElevenLabs API

ElevenLabs + MongoDB

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Popular ElevenLabs and MongoDB Triggers#

New History Item Created from the ElevenLabs API

Emit new event when a new history item 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 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 ElevenLabs and MongoDB Actions#

Add Voice with the ElevenLabs API

Add a voice from one or more audio files. 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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Download History Items with the ElevenLabs API

Download one or more history items to your workflow's tmp directory. If one history item ID is provided, we will return a single audio file. If more than one history item IDs are provided, we will provide the history items packed into a .zip file. 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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Get Audio From History Item with the ElevenLabs API

Returns the audio of an history item and converts it to a file. See the documentation

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Overview of ElevenLabs#

The ElevenLabs API offers text-to-speech capabilities with realistic voice synthesis. Integrating this API on Pipedream allows you to build automated workflows that convert text content into spoken audio files. You can trigger these conversions from various events, process the text data, send it to the ElevenLabs API, and handle the audio output—all within a serverless environment.

Connect ElevenLabs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elevenlabs: {
      type: "app",
      app: "elevenlabs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elevenlabs.io/v1/user`,
      headers: {
        "Accept": `application/json`,
        "xi-api-key": `${this.elevenlabs.$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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