Integrate the College Football Data API with the Filter API

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

Popular College Football Data and Filter Actions#

Continue execution if a condition Is met with the Filter API

Continue workflow execution only if a condition is met

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End execution if a condition is met with the Filter API

End workflow execution if a condition is met

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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 Filter#

The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.

Connect Filter#

export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")
    }
  },
})