DeskTime

DeskTime is a time tracking software solution that also analyzes productivity. The only fully automatic time tracker app.

Integrate the DeskTime API with the MongoDB API

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

Create a New Project with an optional task with DeskTime API on New Collection from MongoDB API
MongoDB + DeskTime
 
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Create a New Project with an optional task with DeskTime API on New Database from MongoDB API
MongoDB + DeskTime
 
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Create a New Project with an optional task with DeskTime API on New Document from MongoDB API
MongoDB + DeskTime
 
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Create a New Project with an optional task with DeskTime API on New Field in Document from MongoDB API
MongoDB + DeskTime
 
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Start Project with DeskTime API on New Collection from MongoDB API
MongoDB + DeskTime
 
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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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Create a New Project with an optional task with the DeskTime API

Create a new project with an optional task in DeskTime. 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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Start Project with the DeskTime API

Starts tracking time for a given project and optionally a task. 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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Stop Project with the DeskTime API

Stop tracking time for a given project and optionally a task. See the documentation

 
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Overview of DeskTime

The DeskTime API enables you to hook into vital data concerning productivity tracking, employee attendance, and project management. Integrating this API with Pipedream allows you to automate workflows, synchronize productivity data with other tools, and trigger actions based on team performance metrics. For instance, you can set up a system that notifies a project manager when an employee logs overtime or integrates time tracking data with payroll software.

Connect DeskTime

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    desktime: {
      type: "app",
      app: "desktime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://desktime.com/api/v2/json/company`,
      params: {
        apiKey: `${this.desktime.$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()
  },
})