Pipedream

Integration platform for developers

Integrate the Pipedream API with the MongoDB API

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

Create New Document with MongoDB API on New Scheduled Tasks from Pipedream API
Pipedream + MongoDB
 
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Delete a Document with MongoDB API on New Scheduled Tasks from Pipedream API
Pipedream + MongoDB
 
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Find Document by Id with MongoDB API on New Scheduled Tasks from Pipedream API
Pipedream + MongoDB
 
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Search Documents with MongoDB API on New Scheduled Tasks from Pipedream API
Pipedream + MongoDB
 
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Update a Document with MongoDB API on New Scheduled Tasks from Pipedream API
Pipedream + MongoDB
 
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New Scheduled Tasks from the Pipedream API

Exposes an HTTP API for scheduling messages to be emitted at a future time

 
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New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

 
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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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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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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

 
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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

 
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Delete a Subscription with the Pipedream API

Delete a Subscription. See Doc

 
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Overview of Pipedream

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

  • An application that can extract data from a database, transform it, and then
    load it into another database.
  • An application that can monitor a data source for changes, and then trigger a
    workflow in response to those changes.
  • An application that can poll an API for new data, and then process that data
    in real-time.

Connect Pipedream

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipedream: {
      type: "app",
      app: "pipedream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pipedream.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.pipedream.$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

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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()
  },
})