Integrate the Dandelion API with the Schedule API

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

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Popular Dandelion 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 Dandelion#

The Dandelion API is a text analysis toolkit that allows for understanding and extracting information from texts in various languages. On Pipedream, you can leverage this API to automate workflows that involve natural language processing tasks like sentiment analysis, entity recognition, and language detection. These capabilities enable developers to create applications that can interpret user input, analyze social media sentiment, categorize content, and more, all within a serverless platform.

Connect Dandelion#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dandelion: {
      type: "app",
      app: "dandelion",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dandelion.eu/datagraph/wikisearch/v1`,
      params: {
        text: `brightroll`,
        lang: `en`,
        token: `${this.dandelion.$auth.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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