Integrate the GmodStore API with the Python API

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

Popular GmodStore 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.

Overview of GmodStore#

The GmodStore API gives you the tools to interact with the GmodStore marketplace programmatically. Through this API, you can automate tasks like retrieving information on products, managing licenses, and handling user data. Using Pipedream, you can create workflows that integrate the GmodStore API with various other services to streamline processes, analyze data, and improve the efficiency of your operations. Pipedream’s serverless platform allows for seamless execution of these integrations, making it simpler to set up automated tasks without managing infrastructure.

Connect GmodStore#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gmodstore: {
      type: "app",
      app: "gmodstore",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.gmodstore.com/api/v3/me`,
      headers: {
        Authorization: `Bearer ${this.gmodstore.$auth.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}}