College Football Data
CollegeFootballData.com (CFBD) is a sports statistics and analytics website with no direct affiliation to the NCAA, its member conferences, or its member teams.
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.
Popular College Football Data and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}