Integrate the Microsoft Excel API with the MongoDB API

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

Popular Ways to Connect Microsoft Excel with MongoDB#

Add A Worksheet Tablerow with Microsoft Excel API on New Collection from MongoDB API

MongoDB + Microsoft Excel

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Add A Worksheet Tablerow with Microsoft Excel API on New Database from MongoDB API

MongoDB + Microsoft Excel

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Add A Worksheet Tablerow with Microsoft Excel API on New Document from MongoDB API

MongoDB + Microsoft Excel

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Add A Worksheet Tablerow with Microsoft Excel API on New Field in Document from MongoDB API

MongoDB + Microsoft Excel

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Create New Document with MongoDB API on New Item Updated (Instant) from Microsoft Excel API

Microsoft Excel + MongoDB

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Popular Microsoft Excel and MongoDB Triggers#

New Item Updated (Instant) from the Microsoft Excel API

Emit new event when an item is updated.

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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 Microsoft Excel and MongoDB Actions#

Add A Worksheet Tablerow with the Microsoft Excel API

Adds rows to the end of specific table. 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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Update Worksheet Tablerow with the Microsoft Excel API

Update the properties of tablerow object. (Only for work or school account) 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 Microsoft Excel#

The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.

Connect Microsoft Excel#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_excel: {
      type: "app",
      app: "microsoft_excel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/v1.0/me`,
      headers: {
        Authorization: `Bearer ${this.microsoft_excel.$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#

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()
  },
})