# MLB Stats API — Trade Deadline & Pennant Race Tracker (`jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-scraper`) Actor Pulls live game schedules, standings, and trade-deadline transactions from the official MLB Stats API (statsapi.mlb.com). Surface box-score results, wild-card race standings, and real-time roster moves from the /transactions endpoint — the differentiator that competing actors don't expose. - **URL**: https://apify.com/jungle\_synthesizer/mlb-statsapi-trade-deadline-pennant-race-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## MLB Stats API — Trade Deadline & Pennant Race Tracker Pull live game schedules, standings, wild-card race data, and trade-deadline transactions from the official MLB Stats API (`statsapi.mlb.com`). Three modes in one actor — the only Apify actor that surfaces the `/transactions` endpoint for real-time roster moves. ### What this actor does - **Schedule mode** — Pulls box scores and game results for any date range. Includes home/away teams, scores, winning/losing/save pitchers, venue, and game status. - **Standings mode** — Snapshots current AL and NL division standings including wild-card race position (`wildCardRank`, `wildCardGamesBack`, wins/losses). - **Transactions mode** — The trade-deadline differentiator: streams roster moves (trades, DFA, call-ups, options) from the `/transactions` endpoint for any date window. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `schedule` | `schedule`, `standings`, or `transactions` | | `startDate` | string | today | Start date `YYYY-MM-DD` (schedule / transactions) | | `endDate` | string | startDate | End date `YYYY-MM-DD` (schedule / transactions) | | `leagueIds` | string | `103,104` | League IDs for standings (103=AL, 104=NL) | | `gameType` | string | `R` | Game type: `R`=Regular, `S`=Spring, `E`=Exhibition, `D`=Division Series | | `maxItems` | integer | 10 | Maximum records to return (0 = no limit) | ### Output schema Every record shares the same 17-field flat schema regardless of mode: | Field | Notes | |-------|-------| | `game_pk` | MLB game ID (or transaction ID) | | `game_date` | Date `YYYY-MM-DD` | | `game_type` | `R` / `standings` / `transaction` | | `season` | MLB season year | | `home_team` / `home_team_abbrev` | Home team name and abbreviation | | `home_score` | Runs scored (home) — wins count in standings mode | | `away_team` / `away_team_abbrev` | Away team or division rank in standings mode | | `away_score` | Runs scored (away) — losses in standings mode | | `venue` | Ballpark name — games back in standings mode | | `status` | Game status or wild-card games back | | `winning_pitcher` | WP name (Final games) — wild-card rank in standings | | `losing_pitcher` | LP name (Final games) — games played in standings | | `save_pitcher` | Save pitcher name if applicable | | `home_runs_total` | Total HRs in game (when available) | | `source` | `statsapi.mlb.com/schedule` \| `/standings` \| `/transactions` | ### Trade deadline use case The July 31 trade deadline is the highest-traffic period in baseball analytics. Set `mode: transactions` with `startDate: 2026-07-28` and `endDate: 2026-08-01` to capture every roster move in the deadline window: ```json { "mode": "transactions", "startDate": "2026-07-28", "endDate": "2026-08-01", "maxItems": 0 } ```` ### Pennant race use case Track the wild-card standings as the pennant race heats up in August and September: ```json { "mode": "standings", "leagueIds": "103,104", "maxItems": 0 } ``` ### API details - Source: `https://statsapi.mlb.com/api/v1/` (official MLB Stats API) - Authentication: none required — fully open public API - Rate limits: generous; actor uses a 150ms courtesy delay - Proxy: none needed # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Which data to fetch: 'schedule' (game results/box scores), 'standings' (division standings + wild-card race), 'transactions' (trade-deadline roster moves). Default: schedule. ## `startDate` (type: `string`): Start date for schedule or transaction queries (YYYY-MM-DD). Defaults to today. ## `endDate` (type: `string`): End date for schedule or transaction queries (YYYY-MM-DD). Defaults to startDate. ## `leagueIds` (type: `string`): Comma-separated league IDs for standings (103=AL, 104=NL). Defaults to both leagues. ## `gameType` (type: `string`): Filter games by type: R (Regular), S (Spring Training), E (Exhibition), D (Division Series). Default: R. ## `maxItems` (type: `integer`): Maximum number of records to return (0 = no limit) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "schedule", "startDate": "2026-07-01", "endDate": "2026-07-31", "leagueIds": "103,104", "gameType": "R", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "schedule", "startDate": "2026-07-01", "endDate": "2026-07-31", "leagueIds": "103,104", "gameType": "R", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "schedule", "startDate": "2026-07-01", "endDate": "2026-07-31", "leagueIds": "103,104", "gameType": "R", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "schedule", "startDate": "2026-07-01", "endDate": "2026-07-31", "leagueIds": "103,104", "gameType": "R", "maxItems": 10 }' | apify call jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/mlb-statsapi-trade-deadline-pennant-race-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MLB Stats API — Trade Deadline & Pennant Race Tracker", "description": "Pulls live game schedules, standings, and trade-deadline transactions from the official MLB Stats API (statsapi.mlb.com). Surface box-score results, wild-card race standings, and real-time roster moves from the /transactions endpoint — the differentiator that competing actors don't expose.\n", "version": "0.1", "x-build-id": "qH486lMttSJtayAWp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~mlb-statsapi-trade-deadline-pennant-race-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-mlb-statsapi-trade-deadline-pennant-race-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/jungle_synthesizer~mlb-statsapi-trade-deadline-pennant-race-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-mlb-statsapi-trade-deadline-pennant-race-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/jungle_synthesizer~mlb-statsapi-trade-deadline-pennant-race-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-mlb-statsapi-trade-deadline-pennant-race-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "schedule", "standings", "transactions" ], "type": "string", "description": "Which data to fetch: 'schedule' (game results/box scores), 'standings' (division standings + wild-card race), 'transactions' (trade-deadline roster moves). Default: schedule." }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date for schedule or transaction queries (YYYY-MM-DD). Defaults to today." }, "endDate": { "title": "End Date", "type": "string", "description": "End date for schedule or transaction queries (YYYY-MM-DD). Defaults to startDate." }, "leagueIds": { "title": "League IDs", "type": "string", "description": "Comma-separated league IDs for standings (103=AL, 104=NL). Defaults to both leagues." }, "gameType": { "title": "Game Type", "enum": [ "R", "S", "E", "D" ], "type": "string", "description": "Filter games by type: R (Regular), S (Spring Training), E (Exhibition), D (Division Series). Default: R." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return (0 = no limit)" } } }, "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 } } } } } } } } } } ```