Integrate the College Football Data API with the Python API

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

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Popular College Football Data 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.

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Overview of College Football Data#

The College Football Data API is a treasure trove for developers and sports analysts wanting to tap into detailed college football statistics and scores. With this API, you can fetch a wide array of data, from team stats to player metrics and game results. Harness this information to fuel apps, dashboards, and automated reporting systems, or to enrich your sports-related datasets.

Connect College Football Data#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    college_football_data: {
      type: "app",
      app: "college_football_data",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.collegefootballdata.com/conferences`,
      headers: {
        Authorization: `Bearer ${this.college_football_data.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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