⚾ MLB StatsAPI Public Scraper

🚀 Export MLB teams, players, schedule, and venues in seconds, straight from the public StatsAPI used by MLB.com.

🕒 Last updated: 2026-06-05 · 📊 14 fields per record · All 30 MLB clubs · Player rosters and bios · Schedule, venues, leagues, divisions

The MLB StatsAPI Public Scraper turns the statsapi.mlb.com public endpoint into a clean dataset. It calls the public API with whichever filters you supply, then flattens each record into one row.

Coverage spans all 30 mlb clubs · player rosters and bios · schedule, venues, leagues, divisions. Each row carries the most useful identifiers, names, scores, and timestamps the upstream feed exposes.

🎯 Target Audience	💡 Primary Use Cases
⚾ Baseball analysts	Pull rosters and schedules at scale
🏟️ Fantasy MLB builders	Power daily-fantasy and season leagues
📰 Sports journalists	Verify roster and schedule data fast
🎓 Sabermetrics students	Mine official MLB datasets
🤖 ML engineers	Build pitcher-batter prediction sets
👩‍💻 Developers	Mirror StatsAPI into your own store

📋 What the MLB StatsAPI Public Scraper does

• Calls MLB StatsAPI endpoints for teams, players, schedule, and venues.
• Flattens nested venue, league, and division blocks into top-level fields.
• Supports sportId, season, and date range filters.
• Casts numeric ids cleanly.
• Surfaces upstream errors as a clean error record.

💡 Why it matters. The MLB StatsAPI powers MLB.com itself. This actor turns its sprawling endpoints into a flat dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
endpoint	string	No	See examples below.
maxItems	integer	No	Free users 10, paid up to 1,000,000. Prefill is 10.

Example 1, All MLB teams.

{ "endpoint": "teams", "sportId": 1, "maxItems": 30 }

Example 2, 2024 schedule.

{ "endpoint": "schedule", "season": 2024, "maxItems": 100 }

⚠️ Good to Know. StatsAPI is public and unauthenticated. Heavy use can trigger rate limits.

📊 Output

Field	Type	Description
🆔 id	number	Primary id.
🏷️ name	string	Name or full name.
🔤 abbreviation	string	Short code when present.
📍 venue	string	Venue name when present.
🏟️ league	string	League name.
🧭 division	string	Division name when present.
🌍 locationName	string	Location.
📅 firstYearOfPlay	string	First year of play when present.
🔗 link	string	StatsAPI link.
🆎 endpoint	string	Which endpoint was called.
📅 season	number	Season when applicable.
📦 raw	object	Full upstream record.
🕒 scrapedAt	string	When fetched.
❌ error	string	Set when upstream returned an error.

Sample record.

{
  "id": 0,
  "name": "",
  "abbreviation": "",
  "venue": "",
  "league": "",
  "division": "",
  "locationName": "",
  "firstYearOfPlay": "",
  "link": "",
  "endpoint": "",
  "season": 0,
  "raw": {},
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Public MLB StatsAPI endpoint, no scraping tricks needed. | | 🧹 | Flattens nested upstream payloads into one row per record. | | 🔢 | Casts numeric fields cleanly for spreadsheet imports. | | 🛟 | Surfaces upstream errors as clean rows. | | 🔌 | Filters exposed for the most common slicing needs. | | 💾 | Push to dataset for spreadsheet, warehouse, or webhook export. |

📈 How it compares to alternatives

Approach	Setup	Pagination	Flattening	Export formats
Raw curl	5 min	manual	none	manual
DIY Python script	30 min	yes	partial	code
This Actor	5 seconds	yes	yes	7 formats

🚀 How to use

1. Click Try for free.
2. Pick your filters from the schema above.
3. Click Start. Your dataset is ready in seconds.

💼 Business use cases

📊 Analytics. Mirror MLB StatsAPI into a warehouse for dashboards.

🏢 Internal tooling. Mirror the data into private apps without writing client code.

📰 Journalism. Verify and bulk-fetch records for stories.

🤖 Machine learning. Build training sets from a known canonical source.

🔌 Automating MLB StatsAPI Public Scraper

• Make / Zapier: schedule a daily run.
• Cron schedule: native Apify scheduler.
• Webhooks: POST on completion.
• Warehouse pipe: native integrations move datasets straight into BigQuery, Snowflake, or Postgres.

🌟 Beyond business use cases

🎓 Education. Teach API integration with a clean dataset.

🧪 Personal research. Track the data you care about.

🤝 Non-profit and open data. Power public dashboards.

🧰 Tinkering and prototyping. Spin up a feed for side projects in seconds.

🤖 Ask an AI assistant about this scraper

Drop this README into ChatGPT, Claude, or any AI assistant and ask it to design a pipeline. The input fields, schema, and examples above contain everything an LLM needs.

❓ Frequently Asked Questions

❓ Do I need an API key? No. The endpoint is public.

❓ Pagination? Yes, handled automatically where the upstream supports it.

❓ Rate limits? The upstream sets the rate limit. The actor surfaces upstream errors cleanly.

❓ Schema stability? Core fields are stable. Optional fields are passed through when present.

❓ Real-time? Yes, every run hits the live endpoint.

❓ Spreadsheet export? Yes, via the Apify dataset UI.

❓ Scheduling? Yes, via the Apify scheduler.

❓ Public data only? Yes.

❓ Free trial? Yes, $5 free credit on signup covers many runs.

❓ Webhook integration? Yes, native Apify webhooks fire on run completion.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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