Integrate the Short.io API with the Python API

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

Popular Ways to Connect Short.io with Python#

Run Python Code with Python API on New event for each link created. from Short.io API

Short.io + Python

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Popular Short.io and Python Triggers#

New event for each link created. from the Short.io API

Emit new event when a link is created.

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Popular Short.io and Python Actions#

Create a Short Link with the Short.io API

Create a Short Link. See the docs.

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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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Delete a Short Link with the Short.io API

Delete a Short Link. See the docs.

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Domain Statistics. with the Short.io API

Returns detailed statistics for domain in given period. See the docs.

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Expire a Link. with the Short.io API

Expire a link by id. See the docs.

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Overview of Short.io#

Short.io provides a robust API for URL shortening, allowing you to create, delete, and track shortened links programmatically. By integrating with Pipedream, you can automate link creation or aggregation of click data in real-time, triggering workflows in response to events like link clicks or creating short links in bulk from a data source.

Connect Short.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    short: {
      type: "app",
      app: "short",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.short.io/api/domains`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `${this.short.$auth.secret_key}`,
      },
    })
  },
})

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}}