Integrate the DeepL API with the Schedule API

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

Popular DeepL 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 DeepL#

The DeepL API provides a powerful machine translation service, allowing you to translate text between languages with a high degree of accuracy and nuance. Leveraging the DeepL API on Pipedream, you can automate multilingual content creation, streamline communication in different languages, and enrich apps with instant translation features. The integration possibilities are vast, enabling you to weave translation capabilities into various workflows, data processing, and content management systems.

Connect DeepL#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deepl: {
      type: "app",
      app: "deepl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-free.deepl.com/v2/usage`,
      headers: {
        "Authorization": `DeepL-Auth-Key ${this.deepl.$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.