🏈 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.

🕒 Last updated: 2026-04-23 · 📊 20+ fields per record · 🏈 Multi-sport · 📊 Scores + stats · 🚫 No auth required

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

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📋 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.

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🎬 Full Demo

🚧 Coming soon.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Max records.
sport	string	""	Sport: nfl, nba, mlb, nhl, soccer.
dataType	string	""	Data: scores, standings, rosters, schedule.
teamId	string	""	Specific ESPN team ID.

Example: NFL standings.

{ "sport": "nfl", "dataType": "standings", "maxItems": 32 }

Example: NBA scores today.

{ "sport": "nba", "dataType": "scores", "maxItems": 20 }

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📊 Output

🧾 Schema

Field	Type	Example
🏈 sport	string	"NFL"
🏢 teamName	string	"Kansas City Chiefs"
📊 record	string	"14-3"
💯 score	number	27
📅 gameDate	string	"2026-01-12"
🏆 standing	string	"1st AFC West"
🔗 url	string	"https://www.espn.com/..."
🕒 scrapedAt	ISO 8601	"2026-04-16T00:00:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
🏈	Multi-sport. NFL, NBA, MLB, NHL, soccer, and more.
📊	Multiple data types. Scores, standings, rosters, schedules.
🏢	Team filter. Narrow to specific teams.
⚡	Scalable. Quick lookups to full league sweeps.
🚫	No authentication. Public ESPN data.

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📈 How it compares to alternatives

Approach	Cost	Sports	Data types	Setup
⭐ ESPN Scraper (this Actor)	$5 free credit	Multi-sport	Scores, standings, rosters	⚡ 2 min
Manual ESPN browsing	Free	One at a time	UI only	🕒 Hours
Paid sports APIs	$50-500/month	Multi-sport	Many	⏳ Hours

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🚀 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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💼 Business use cases

📊 Sports Analytics Track team performance over time Build statistical models Monitor roster changes Analyze scheduling patterns	🎮 Fantasy & Betting Pull player stats for projections Track injury reports Monitor standings changes Build custom dashboards
📰 Sports Media Generate automated game recaps Track standings for content Build real-time scoreboards Monitor league-wide trends	🏢 Sports Business Track franchise valuations Monitor attendance data Analyze broadcast schedules Build sports market research

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

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🔌 Automating ESPN Sports Scraper

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

🔌 Integrate with any app

• Make - Automate workflows
• Zapier - Connect 5,000+ apps
• Slack - Get score alerts
• Airbyte - Data pipelines
• GitHub - Trigger from commits
• Google Drive - Export to Sheets

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💡 Browse the complete ParseForge collection.

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🆘 Need Help? Open our contact form to request a new scraper or report an issue.

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