Zoho WorkDrive

Online file management for teams

Integrate the Zoho WorkDrive API with the MongoDB API

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

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Create New Document with MongoDB API on New File In Folder from Zoho WorkDrive API
Zoho WorkDrive + MongoDB
 
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Create New Document with MongoDB API on New Folder from Zoho WorkDrive API
Zoho WorkDrive + MongoDB
 
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Delete a Document with MongoDB API on New File In Folder from Zoho WorkDrive API
Zoho WorkDrive + MongoDB
 
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Delete a Document with MongoDB API on New Folder from Zoho WorkDrive API
Zoho WorkDrive + MongoDB
 
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Download File to Tmp Direcory with Zoho WorkDrive API on New Collection from MongoDB API
MongoDB + Zoho WorkDrive
 
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New File In Folder from the Zoho WorkDrive API

Emit new event when a new file is created in a specific folder.

 
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New Folder from the Zoho WorkDrive API

Emit new event when a new folder is created in a specific folder.

 
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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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Download File to Tmp Direcory with the Zoho WorkDrive API

Download a file to the /tmp directory. 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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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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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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Upload File with the Zoho WorkDrive API

Upload a new file to your WorkDrive account. See the documentation

 
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Overview of Zoho WorkDrive

The Zoho WorkDrive API interacts with Zoho's cloud-based file management system, enabling automated file and folder operations, team management, and content collaboration. With Pipedream, you can harness this API to create workflows that trigger on specific events, manipulate files and folders, and integrate with other services for a seamless productivity boost.

Connect Zoho WorkDrive

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

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