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ESPN College Football Scraper

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from $7.50 / 1,000 results

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ESPN College Football Scraper

ESPN College Football Scraper

Tap ESPN sub endpoints for college football scoreboard games, teams, or news. Add an optional YYYYMMDD date to scope the scoreboard. Handy for NCAA football trackers, conference standings dashboards, fantasy tools, and editorial workflows that surface daily gridiron results.

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from $7.50 / 1,000 results

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ParseForge

ParseForge

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1

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19 hours ago

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🏈 ESPN College Football Scraper

πŸš€ Export NCAA college football scoreboard, teams, and rankings straight from the public ESPN site API.

The ESPN College Football Scraper turns the https://site.api.espn.com/apis/site/v2/sports/football/college-football/ public endpoint into a clean, structured dataset, parses the response, and flattens it into one row per record. You can scope the run with input filters and pull whichever subset you need.

🎯 Target AudienceπŸ’‘ Primary Use Cases
πŸ“Š Data analystsPull the full public dataset into a warehouse
πŸ€– ML engineersBuild clean training sets without writing client code
πŸ“° Journalists & researchersVerify facts in seconds
πŸ‘©β€πŸ’» DevelopersMirror the upstream data into a database
🏒 Product teamsPower dashboards and internal tools
πŸŽ“ Students & educatorsFree, structured datasets for projects

πŸ“‹ What the ESPN College Football Scraper does

  • Calls the public https://site.api.espn.com/apis/site/v2/sports/football/college-football/ endpoint with the input filters you supply.
  • Parses the response, locates each record, and flattens it into a row.
  • Casts numeric fields and surfaces upstream errors as a single record with the error field populated.
  • Stops cleanly at maxItems so you never blow past your dataset budget.
  • Exports to every format the Apify dataset supports , spreadsheet, warehouse, RSS, HTML, and more.

πŸ’‘ Why it matters: the upstream endpoint is public but the response is verbose and not analyst-ready. This actor normalizes it into one clean row per record so the data drops straight into BigQuery, a Google Sheet, or a pandas DataFrame.

πŸ“Š Data fields

Each record includes: awayScore, awayTeam, date, homeScore, homeTeam, id, imageUrl, leaders, name, results, scrapedAt, status, venue, venueCity. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: all input is validated; trailing whitespace is trimmed before the request fires. Free accounts are capped at 10 items per run as a preview; upgrade for the full dataset.

πŸš€ How to use

  1. Click Try for free.
  2. Pick your input filters (or leave defaults).
  3. Click Start. Within seconds your dataset is ready, download or pipe to your warehouse.
  4. (Optional) Schedule the actor to refresh automatically.
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πŸ’‘ Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site terms of service and applicable law. Create a free account w/ $5 credit.

πŸ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.