Toggl Track

Time tracking software

Integrate the Toggl Track API with the MongoDB API

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

Create New Document with MongoDB API on New Start Time Entry (Instant) from Toggl Track API
Toggl Track + MongoDB
 
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Create New Document with MongoDB API on New Time Entry (Instant) from Toggl Track API
Toggl Track + MongoDB
 
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Create New Document with MongoDB API on New Update Time Entry (Instant) from Toggl Track API
Toggl Track + MongoDB
 
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Create New Document with MongoDB API on New Webhook Event (Instant) from Toggl Track API
Toggl Track + MongoDB
 
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Delete a Document with MongoDB API on New Start Time Entry (Instant) from Toggl Track API
Toggl Track + MongoDB
 
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New Start Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is started. See docs here

 
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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 Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is created. See docs here

 
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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 Update Time Entry (Instant) from the Toggl Track API

Emit new event when a time entry is updated. See docs here

 
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Get Current Time Entry with the Toggl Track API

Get the time entry that is running now. [See docs here]https://developers.track.toggl.com/docs/api/time_entries#get-get-current-time-entry)

 
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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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Get Time Entries with the Toggl Track API

Get the last thousand time entries. See 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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Get Time Entry with the Toggl Track API

Get details about a specific time entry. See docs here

 
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Overview of Toggl Track

Toggl Track is a time tracking API that lets you start, stop, and manage timers and time entries, as well as manage projects, clients, and tasks associated with time records. With the Toggl Track API on Pipedream, you can automate time tracking activities, synchronize data across platforms, and generate insights from time tracking data to improve productivity and project management.

Connect Toggl Track

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    toggl: {
      type: "app",
      app: "toggl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.track.toggl.com/api/v9/me`,
      auth: {
        username: `${this.toggl.$auth.api_token}`,
        password: `api_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()
  },
})