Integrate the AppDrag API with the MongoDB API

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

Popular Ways to Connect AppDrag with MongoDB#

Execute API Function with AppDrag API on New Collection from MongoDB API

MongoDB + AppDrag

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Execute API Function with AppDrag API on New Database from MongoDB API

MongoDB + AppDrag

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Execute API Function with AppDrag API on New Document from MongoDB API

MongoDB + AppDrag

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Execute API Function with AppDrag API on New Field in Document from MongoDB API

MongoDB + AppDrag

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Insert Row with AppDrag API on New Collection from MongoDB API

MongoDB + AppDrag

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Popular AppDrag 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 AppDrag and MongoDB Actions#

Execute API Function with the AppDrag API

Executes an API function from a cloud backend. 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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Insert Row with the AppDrag API

Inserts a new row into a cloud database table. 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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Update Row with the AppDrag API

Updates a row in a cloud database table. See the documentation

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Overview of AppDrag#

The AppDrag API lets you manage cloud functions, databases, and mail sending features within your AppDrag projects. With Pipedream, you can harness these capabilities to automate workflows such as syncing data between different platforms, processing form submissions, or triggering communication sequences. By connecting AppDrag’s API to Pipedream, you gain the ability to create serverless workflows that can respond to various triggers like webhooks, schedules, or even actions from other apps.

Connect AppDrag#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    appdrag: {
      type: "app",
      app: "appdrag",
    }
  },
  async run({steps, $}) {
    const data = {
      "APIKey": `${this.appdrag.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.appdrag.$auth.app_id}.appdrag.site/api/testfunc`,
      headers: {
        "Content-Type": `x-www-form-urlencoded`,
      },
      data,
    })
  },
})

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()
  },
})