Integrate the Rebrandly API with the Python API

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

Popular Ways to Connect Rebrandly with Python#

Run Python Code with Python API on New Click Received from Rebrandly API

Rebrandly + Python

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Run Python Code with Python API on New Link from Rebrandly API

Rebrandly + Python

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Popular Rebrandly and Python Triggers#

New Click Received from the Rebrandly API

Emit new event on each new click received by a link.

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New Link from the Rebrandly API

Emit new event on each new link created.

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Popular Rebrandly and Python Actions#

Create Link with the Rebrandly API

Creates a link. See docs here

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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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Update Link with the Rebrandly API

Updates a link. See docs here

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Overview of Rebrandly#

The Rebrandly API enables the creation, updating, and management of branded short links. Within Pipedream, you can leverage this API to automate custom URL shortening workflows, analyze link performance, and seamlessly integrate URL management into your business processes or applications.

Connect Rebrandly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rebrandly: {
      type: "app",
      app: "rebrandly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rebrandly.com/v1/account`,
      headers: {
        Authorization: `Bearer ${this.rebrandly.$auth.oauth_access_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#

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}}