Integrate the TrackingTime API with the Data Stores API

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

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Popular TrackingTime and Data Stores Actions#

Start Tracking Time with the TrackingTime API

Start tracking time of a task. See the documentation

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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Stop Tracking Time with the TrackingTime API

Stop tracking time of a task. See the documentation

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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Overview of TrackingTime#

The TrackingTime API enables the automation of time tracking, task management, and reporting processes. In Pipedream, you can use this API to create powerful workflows that connect TrackingTime with other apps to streamline productivity, enhance project management, and generate insights on time allocation. Automate tasks based on project activities, sync time entries with calendars, or trigger notifications based on tracked time data.

Connect TrackingTime#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trackingtime: {
      type: "app",
      app: "trackingtime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.trackingtime.co/api/v4/users`,
      auth: {
        username: `API_TOKEN`,
        password: `${this.trackingtime.$auth.app_password}`,
      },
    })
  },
})

Overview of Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})

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