College Football Data

College Football Data

· #470 most-used

College football data, on schedule

SpreadsheetsDatabaseAnalyticsDeveloperAISchedulingAutomationMonitoring & Alerts

CollegeFootballData provides API access to college football schedules, teams, rosters, games, rankings, ratings, betting lines, play-by-play, player stats, win probability, recruiting, and transfer portal data. Actionist agents can use it as a read-only football data source for scheduled reports, Slack answers, dashboards, analysis packs, and source-data review workflows.

Average time saved
13 hours
per person · per month
≈ 2 workdays back

Eliminates manual work. Agents remove repeated schedule, ranking, stats, odds, and play-by-play pulls by calling CollegeFootballData on a schedule and writing sourced summaries into the tools analysts already use.

Schedule

What your College Football Data agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
WedFri
Wed
Thu
Fri
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

College Football Data × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
10Apps spanned
~11 hrsSaved / week
6Personas served
For sales
Featured4 apps

Sponsor matchup brief before the Monday pipeline call

The agent pulls this week's games, rankings, SP ratings, and historical matchup data, then assembles a sponsor-ready brief in Google Docs and posts the top opportunities to Slack. Reps see which games have ranked teams, rivalry context, and likely audience hooks before they decide where to focus outreach.

~2 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·Every Monday before the pipeline call
Result
Update the weekly sponsor matchup briefPost priority matchups to the sales channel
The win
Saved per run
~2 hrs
Runs / week
~1×
Reps start with data-backed game angles instead of manual tab switching
Driven bySales Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    95 min / week
    Manual matchup research

    Reps search schedules, rankings, odds, and matchup history in separate tabs before every campaign or sponsor call.

    Sales Agent
    0 min
    Agent builds matchup briefs from games, rankings, ratings, lines, and historical matchup pulls.

    The Monday task refreshes account briefs before reps open the pipeline meeting.

  • Marketing
    80 min / week
    Manual sports content prep

    Marketers copy rankings, player stats, kickoff windows, and game notes into content plans by hand.

    Marketing Agent
    0 min
    Agent refreshes rankings, player stats, calendar data, and game lists for campaign planning.

    Editors receive current story candidates and source filters for review.

  • Customer Support
    65 min / week
    Manual API lookup for every question

    Support staff inspect API docs, guess filters, and paste raw JSON into internal notes before replying.

    Customer Support Agent
    0 min
    Agent chooses the likely endpoint, drafts a sourced answer, and asks for review when data is ambiguous.

    Replies include endpoint names and filters instead of unsupported guesses.

  • Human Resources
    55 min / week
    Manual roster and school list updates

    HR rebuilds team, roster, transfer, and recruiting context sheets when events or ambassador programs change.

    Human Resources Agent
    0 min
    Agent refreshes school lists, roster context, and transfer movement summaries from read-only endpoints.

    Planning sheets stay current while sensitive decisions remain with people.

  • Finance
    70 min / week
    Manual odds and exposure workbook updates

    Finance checks betting lines, rankings, probabilities, and team strength manually before budget reviews.

    Finance Agent
    0 min
    Agent updates the exposure workbook with lines, probabilities, ratings, and selected game metadata.

    Large changes are flagged for review before campaign spend is adjusted.

  • Operations
    150 min / week
    Manual postgame data pulls

    Analysts run repeated schedule, box score, drive, play, and player-stat exports after every game weekend.

    Operations Agent
    0 min
    Agent stages the recurring reads, logs counts, and reports any failed or missing-game pulls.

    Monday analysis begins with refreshed data and a clear exception list.

  • Legal
    45 min / week
    Manual source evidence collection

    Legal reviewers ask analysts to reconstruct where contest or prediction inputs came from.

    Legal Agent
    0 min
    Agent assembles source packets with endpoints, filters, timestamps, and returned values.

    Reviewers see an audit trail before public copy or contest rules are approved.

+ 100s of other College Football Data automations
Average time saved
56 hrs / person / month
Calculator

Calculate what your team saves

Team size
8 people
Hourly rate
$35 / hr
Hours saved / week
26
Hours saved / year
1,280
Annual ROI
$44,800

Based on College Football Data's typical team usage — the visible tasks plus a few other automations the agent runs: ~3.2 hrs / person / week of admin work automated.

Connect

How to plug College Football Data into Actionist

Pick the connection method that suits your environment.

Connect with a CollegeFootballData API key sent as a bearer token in the Authorization header. This is the documented authentication scheme for the REST API.

1
Request or locate your API key

Sign in to CollegeFootballData and use the API key page to get the token for your account or access tier.

2
Paste the token into Actionist

Open the Apps tab, choose CollegeFootballData, and paste the key into the secure API key field.

3
Run a read-only test

Actionist calls a simple endpoint such as conferences or teams to confirm the bearer-token handshake before scheduled tasks use the connection.

Credentials you'll need
API key*
Use your CollegeFootballData API key as the bearer token.
Actions

26 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about College Football Data + Actionist

How does Actionist connect to CollegeFootballData?
CollegeFootballData uses bearer-token API authentication. In Actionist, add the CollegeFootballData connection, paste your API key into the secure token field, and run a read-only test call. Keep the token in your secrets store and rotate it according to your team policy.
Can Actionist create or update CollegeFootballData records?
No. The public CollegeFootballData REST API is a read-oriented data API. The actions on this page are reads such as schedules, teams, rosters, rankings, betting lines, play-by-play, stats, ratings, and win probability. Actionist can write the results into your own tools, such as Sheets, Slack, Docs, databases, or tickets.
Does CollegeFootballData provide triggers or webhooks?
The scraped integration and the official OpenAPI spec do not expose CollegeFootballData webhooks. This page does not list app-native triggers. Actionist can still run scheduled agent tasks or respond to events from other connected tools, then call CollegeFootballData as the data source.
Which CollegeFootballData endpoints can agents use?
Agents can call REST endpoints for games, scoreboard, calendar, teams, conferences, rosters, rankings, ratings, betting lines, team and player stats, plays, drives, advanced box scores, win probability, PPA, recruiting, and transfer portal data. Access depends on your CollegeFootballData plan and API key permissions.
Can Actionist answer questions in Slack with CollegeFootballData?
Yes. Slack is one of Actionist's supported chat channels. A teammate can ask for a team, player, game, or ranking lookup, and the agent can call CollegeFootballData, summarize the response, and include the endpoint filters used. Ambiguous requests can be routed for approval or clarification.
Can this feed my warehouse or spreadsheet?
Yes. The agent can run scheduled reads, compare the latest response with previous exports, and write results into Google Sheets, Postgres, Airtable, or another connected destination. Destructive changes in downstream tools still require approval according to your Actionist approval settings.
Is this suitable for live game monitoring?
CollegeFootballData includes live and scoreboard surfaces, but Actionist trigger language should not promise sub-minute updates. Use scheduled checks or Slack-requested lookups, and describe timing honestly. Where a source is polled, expect checks to happen on the schedule you configure.
Do I need a paid CollegeFootballData tier?
CollegeFootballData offers access tiers with different call limits and capabilities. Start with the API key and tier that fits your volume, then configure Actionist tasks so they stay within your allowed usage. High-volume warehouse refreshes may need a higher CollegeFootballData tier.