What do you want to automate

with Dandelion and Python?

Prompt, edit and deploy AI agents that connect to Dandelion, Python and 2,500+ other apps in seconds.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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

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

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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 Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo