Integrate the Apilio API with the Schedule API

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

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Popular Apilio 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 Apilio#

Apilio is an intelligent automation platform that enables the creation of complex logic for smart home and IoT devices. By leveraging the Apilio API on Pipedream, users can stitch together actions from various services and devices, making contextual decisions based on real-time data. This can involve using variables, conditions, and logicblocks within Apilio to execute actions that would otherwise require manual intervention or complex scripting.

Connect Apilio#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    apilio: {
      type: "app",
      app: "apilio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.apilio.com/api/v1/boolean_variables`,
      auth: {
        username: `${this.apilio.$auth.username}`,
        password: `${this.apilio.$auth.password}`,
      },
    })
  },
})

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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