Integrate the Looker API with the Schedule API

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

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Popular Looker 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 Looker#

The Looker API provides programmatic access to Looker's data exploration functionalities, allowing you to tap into your data analytics and share insights across your organization dynamically. With the Looker API on Pipedream, you can automate reporting, synchronize analytics data with other apps, and trigger data-driven workflows. Whether it's scheduling reports, updating dashboards, or integrating data insights into other systems, the Looker API empowers you to make data-informed decisions efficiently.

Connect Looker#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    looker: {
      type: "app",
      app: "looker",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.looker.$auth.looker_base_url}/api/4.0/user`,
      headers: {
        "Authorization": `token ${this.looker.$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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