MobyGames

Catalogs all relevant information about electronic games (computer, console, and arcade) on a game-by-game basis. Including release info, credits, cover art and much more!

Integrate the MobyGames API with the Python API

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

List Games with the MobyGames API

Provides a list of games. 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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List Genres with the MobyGames API

Provides a list of genres which may be used for filtering games via the MobyGames API. See the documentation

 
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List Platforms with the MobyGames API

List all platforms available for filtering games via the MobyGames API. See the documentation

 
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Overview of MobyGames

The MobyGames API provides access to a vast database of video game information, including titles, platforms, release dates, and more. In Pipedream, you can leverage this API to create powerful integrations and automated workflows. You might fetch game data to curate personalized game recommendations, sync release information with your calendar, or compile game statistics for analysis.

Connect MobyGames

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mobygames: {
      type: "app",
      app: "mobygames",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mobygames.com/v1/games`,
      params: {
        api_key: `${this.mobygames.$auth.api_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

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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}}