Integrate the Cloudlayer API with the Schedule API

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

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Popular Cloudlayer 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 Cloudlayer#

The Cloudlayer API transforms HTML or URLs into PDFs or images, enabling seamless creation of documents and screenshots programmatically. When integrated with Pipedream, you can automate document generation and distribution workflows, trigger PDF conversions based on specific actions within your apps, or archive web content as images for compliance or monitoring purposes. It's a powerful tool for generating reports, invoices, or snapshots of digital content without manual intervention.

Connect Cloudlayer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudlayer: {
      type: "app",
      app: "cloudlayer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudlayer.io/v2/getStatus`,
      headers: {
        "X-API-Key": `${this.cloudlayer.$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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