🏈 ESPN Sports Scraper

🚀 Collect sports data from ESPN in minutes. Filter by sport, data type, and team. Export scores, standings, rosters, and stats. No coding, no ESPN account required.

Pull structured records from ESPN Sports Data — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/espn-sports-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/espn-sports-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: maxItems (integer, default 10), sport (string, default "nfl"), dataType (string, default "scoreboard"), teamId (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~espn-sports-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

The ESPN Sports Scraper collects sports data from ESPN, returning 20+ fields per record: team names, scores, standings, player rosters, game schedules, and statistics across NFL, NBA, MLB, NHL, soccer, and more. Filter by sport, data type, and specific team.

🎯 Target Audience	💡 Primary Use Cases
Sports analysts, fantasy players, betting researchers, sports media, data scientists	Scores tracking, standings analysis, roster monitoring, statistical research, fantasy sports data

📋 What the ESPN Sports Scraper does

• 🏈 Multi-sport. NFL, NBA, MLB, NHL, soccer, and more.
• 📊 Multiple data types. Scores, standings, rosters, schedules, stats.
• 🏢 Team filter. Narrow to a specific team by ID.
• 📦 Automatic pagination. Follows pages until maxItems.

💡 Why it matters: tracking scores, standings, and stats across ESPN manually means visiting multiple pages per sport. This Actor exports structured sports data at scale for your dashboards, models, or content.

📊 Data fields

Each record includes: abbreviation, attendance, awayMoneyLine, awayRecord, awayScore, awayTeam, broadcast, categories, color, conference, date, description, gameClock, gamePeriod, gameStatus, headline, homeMoneyLine, homeRecord, homeScore, homeTeam, logoUrl, name, notes, oddsDetails, oddsOverUnder, oddsProvider, oddsSpread, published, scrapedAt, shortName, slug, team, teamId, ticketLink, venue, venueCity, webUrl. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the ESPN Sports Scraper page.
3. 🎯 Set input. Pick a sport and data type.
4. 🚀 Run it. Click Start.
5. 📥 Download. Grab results in the Dataset tab.

⏱️ Total time: 3-5 minutes. No coding required.

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💡 Browse the complete ParseForge collection.

⚠️ Disclaimer: Independent tool, not affiliated with ESPN or The Walt Disney Company. Only publicly available sports data is collected.

🆘 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.