Integrate the Axis LMS API with the Schedule API

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

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Popular Axis LMS 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 Axis LMS#

The Axis LMS API provides a wide array of functionalities for integrating your Learning Management System with various services and automating tasks. In Pipedream, you can leverage this API to create workflows that handle data synchronization, user management, course enrollment, and reporting, among others. The API's flexibility allows you to trigger actions based on events, schedule tasks, and interact with other apps to expand your LMS capabilities.

Connect Axis LMS#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    axis_lms: {
      type: "app",
      app: "axis_lms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.axis_lms.$auth.url}/api.php/certifications/list/all/`,
      headers: {
        Authorization: `Bearer ${this.axis_lms.$auth.oauth_access_token}`,
      },
    })
  },
})

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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