# Baseball Savant Scraper (Statcast) (`crawlerbros/baseball-savant-scraper`) Actor Scrape Baseball Savant (baseballsavant.mlb.com) for Statcast data - expected stats (xBA, xSLG, xwOBA, xERA), sprint speed leaderboards, and percentile rankings for all MLB players. - **URL**: https://apify.com/crawlerbros/baseball-savant-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Baseball Savant Scraper (Statcast) Scrape **[Baseball Savant](https://baseballsavant.mlb.com)** — MLB's official Statcast data platform. Retrieve expected statistics (xBA, xSLG, xwOBA, xERA), sprint speed leaderboards, and percentile rankings for every MLB player. ### What You Can Scrape | Mode | Data | |------|------| | `xStats` | Expected batting avg (xBA), slugging (xSLG), weighted on-base (xwOBA), and for pitchers: ERA and xERA | | `sprintSpeed` | Sprint speed (ft/sec), bolts (top sprints), and home-to-first times for every qualifier | | `percentileRankings` | Full percentile scores across xwOBA, exit velocity, K%, BB%, whiff%, chase%, barrel% | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | select | `xStats` | Which Statcast dataset to retrieve | | `statType` | select | `batter` | Batter or pitcher stats (xStats/percentileRankings only) | | `year` | integer | `2023` | MLB season year (2015–2024) | | `minPA` | string | `q` | Qualifying threshold: `q` for qualified, or a number like `50` | | `maxItems` | integer | `100` | Maximum records to return | ### Output Each record contains: ```json { "playerName": "Freddie Freeman", "playerId": 518692, "year": 2023, "statType": "batter", "plateAppearances": 730, "battingAvg": 0.331, "xBA": 0.315, "slugging": 0.567, "xSLG": 0.567, "wOBA": 0.411, "xwOBA": 0.406, "profileUrl": "https://baseballsavant.mlb.com/savant-player/518692", "mode": "xStats", "scrapedAt": "2024-01-01T00:00:00+00:00" } ```` ### FAQs **Does this require an API key?** No. All data is fetched from Baseball Savant's public CSV export endpoints — no authentication required. **What years are supported?** 2015–2024. Statcast data began in 2015. **What is xERA?** Expected ERA is a pitcher metric based on the quality of contact allowed, not actual results. Lower xERA indicates better underlying performance. **What does sprint speed measure?** Sprint speed is measured in feet per second during a player's fastest runs of at least 90 feet. The league average is approximately 27 ft/sec. **Can I get both batter and pitcher stats in one run?** Run the actor twice — once with `statType: batter` and once with `statType: pitcher`. # Actor input Schema ## `mode` (type: `string`): Which Statcast dataset to fetch. ## `statType` (type: `string`): Batter or pitcher stats (applies to xStats and percentileRankings modes). ## `year` (type: `integer`): MLB season year (2015–2024). Default 2023. ## `minPA` (type: `string`): Minimum qualifying threshold. Use 'q' for qualified, or a number like '50'. ## `maxItems` (type: `integer`): Maximum records to return. ## Actor input object example ```json { "mode": "xStats", "statType": "batter", "year": 2023, "minPA": "q", "maxItems": 100 } ``` # Actor output Schema ## `players` (type: `string`): Dataset containing all scraped player Statcast records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "xStats", "statType": "batter", "year": 2023, "minPA": "q", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/baseball-savant-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "xStats", "statType": "batter", "year": 2023, "minPA": "q", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/baseball-savant-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "xStats", "statType": "batter", "year": 2023, "minPA": "q", "maxItems": 100 }' | apify call crawlerbros/baseball-savant-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/baseball-savant-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Baseball Savant Scraper (Statcast)", "description": "Scrape Baseball Savant (baseballsavant.mlb.com) for Statcast data - expected stats (xBA, xSLG, xwOBA, xERA), sprint speed leaderboards, and percentile rankings for all MLB players.", "version": "1.0", "x-build-id": "g9evhLGO4ysM98lkA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~baseball-savant-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-baseball-savant-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~baseball-savant-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-baseball-savant-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~baseball-savant-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-baseball-savant-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "xStats", "sprintSpeed", "percentileRankings" ], "type": "string", "description": "Which Statcast dataset to fetch.", "default": "xStats" }, "statType": { "title": "Stat Type", "enum": [ "batter", "pitcher" ], "type": "string", "description": "Batter or pitcher stats (applies to xStats and percentileRankings modes).", "default": "batter" }, "year": { "title": "Season Year", "minimum": 2015, "maximum": 2024, "type": "integer", "description": "MLB season year (2015–2024). Default 2023.", "default": 2023 }, "minPA": { "title": "Minimum Plate Appearances / Pitches Seen", "type": "string", "description": "Minimum qualifying threshold. Use 'q' for qualified, or a number like '50'.", "default": "q" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum records to return.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```