Dandelion

Semantic Text Analytics as a service

Integrate the Dandelion API with the Delay API

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

Delay Workflow with the Delay API

Delay the execution of your workflow for a specific amount of time (does not count against your compute time).

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
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 Delay

The Delay API in Pipedream is a built-in function that allows you to pause a workflow for a specified amount of time. This can be incredibly useful when you need to stagger API calls to avoid rate limits, wait for an external process to complete, or simply introduce a delay between actions in a sequence. With precision up to milliseconds, the Delay API provides a simple yet powerful tool for managing timing in automation workflows.

Connect Delay

1
2
3
4
5
6
7
export default defineComponent({
  async run({steps, $}) {
    // Specify the amount of time to delay your workflow in milliseconds
    return $.flow.delay(5000)
  },
})