Integrate the TinyURL API with the Python API

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

Popular TinyURL and Python Actions#

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

Overview of TinyURL#

The TinyURL API lets you shorten URLs seamlessly, which can be particularly useful when dealing with lengthy or complex web addresses. With Pipedream, you can integrate the TinyURL API to create concise, manageable links that can be easily shared, tracked, or embedded in various digital content. Beyond simple URL shortening, using Pipedream's serverless platform enables you to automate workflows that involve generating, distributing, and monitoring TinyURLs in conjunction with other apps and services.

Connect TinyURL#

module.exports = defineComponent({
  props: {
    tinyurl: {
      type: "app",
      app: "tinyurl",
    }
  },
  async run({steps, $}) {
    return (await require("@pipedream/platform").axios($, {
      url: `https://api.tinyurl.com/create/`,
      method: `post`,
      headers: {
        Authorization: `Bearer ${this.tinyurl.$auth.api_token}`,
      },
      data: {
        url: `ftp://www.example.com/my-really-long-link-that-I-need-to-shorten/84378949`,
      }
    })).data
  },
})

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}}