Integrate the U301 API with the Python API

Setup the U301 API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate U301 and Python remarkably fast. Free for developers.

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Popular U301 and Python Actions#

Create QR Code with the U301 API

Create a QR Code from the shortened URL. See the documentation

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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.

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List Domains with the U301 API

List all available domains for URL shortening. See the documentation

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Shorten URL with the U301 API

Shorten a long link. See the documentation

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Overview of U301#

The U301 API provides a robust platform for URL management, including features like URL shortening, analytics, and secure redirection. This API is extremely useful for businesses or developers who need to manage and analyze web traffic through compact, trackable URLs. Using Pipedream, you can integrate the U301 API into automated workflows that enhance marketing efforts, streamline link management, and provide detailed insights into click-through behaviors.

Connect U301#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    u301: {
      type: "app",
      app: "u301",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.u301.com/v2/shorten`,
      headers: {
        Authorization: `Bearer ${this.u301.$auth.api_key}`,
      },
      params: {
        url: `https://pipedream.com?via=go`,
        title: `Pipedream - Connect APIs, AI, databases and more.`,
      },
    })
  },
})

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#

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}}

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