Integrate the DoneDone API with the Schedule API

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

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Popular DoneDone and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Overview of DoneDone #

The DoneDone API opens a realm of possibilities for tracking issues and managing projects within Pipedream's serverless platform. By harnessing this API, you can automate ticket creation, update project statuses, and streamline collaboration with your team. DoneDone's simple yet powerful API provides endpoints to manage tasks, projects, people, and more, effectively becoming a backbone for your project management workflow automation.

Connect DoneDone #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    donedone: {
      type: "app",
      app: "donedone",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://2.donedone.com/public-api/accounts`,
      auth: {
        username: `${this.donedone.$auth.email}`,
        password: `${this.donedone.$auth.api_key}`,
      },
    })
  },
})

Overview of Schedule#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

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