Integrate the y.gy API with the Python API

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

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Popular y.gy and Python Actions#

Create Short Link with the y.gy API

Create new short links with y.gy. 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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Get Links with the y.gy API

Get a list of the links created by the authenticated account See the documentation

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Overview of y.gy#

The y.gy API allows users to shorten URLs dynamically, providing a way to manage and track URL performance in applications or marketing campaigns. Using this API on Pipedream, you can automate URL shortening and integrate these activities with other services like databases, analytics tools, or CRM systems. This capability is particularly valuable in scenarios involving high-volume link generation, targeted content distribution, and real-time link performance analysis.

Connect y.gy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    y_gy: {
      type: "app",
      app: "y_gy",
    }
  },
  async run({steps, $}) {
    const data = {
        "destination_url": "https://pipedream.com",
      }
    return await axios($, {
      method: "post",
      url: `https://api.y.gy/api/v1/link`,
      headers: {
        "api-key": `${this.y_gy.$auth.api_key}`,
      },
      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}}

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