Integrate the Clockify API with the Data Stores API

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

Popular Clockify and Data Stores Actions#

Add Members To Project with the Clockify API

Adds member(s) to a project in Clockify. 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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Add Task To Project with the Clockify API

Adds a task to a project in Clockify. 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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Create Project with the Clockify API

Creates a new project in Clockify. See the documentation

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Overview of Clockify#

Clockify is a time tracking and timesheet app that provides a straightforward way to track work hours across projects. With the Clockify API on Pipedream, you can automate time tracking, create detailed reports, manage projects, and sync timesheet data with other apps. Using Pipedream, you can create workflows that trigger on events in Clockify or other apps, process the data, and perform actions like logging time automatically, sending notifications, or creating invoices based on tracked time.

Connect Clockify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clockify: {
      type: "app",
      app: "clockify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clockify.me/api/v1/user`,
      headers: {
        "X-Api-Key": `${this.clockify.$auth.api_key}`,
        "content-type": `application/json`,
      },
    })
  },
})

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")
  },
})