# ESPN MLB Scoreboard Scraper (`parseforge/espn-mlb-scoreboard-scraper`) Actor Fetch Major League Baseball games from the ESPN scoreboard endpoint by season year or a specific YYYYMMDD date. Returns matchups, scores, and team info as ESPN serves them. Great for daily score tickers, fantasy baseball aides, and analytics models tracking the MLB season. - **URL**: https://apify.com/parseforge/espn-mlb-scoreboard-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Sports, Automation, Integrations - **Stats:** 6 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 1,000 results 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## โšพ ESPN MLB Scoreboard Public API Scraper > ๐Ÿš€ **Export every MLB game on the ESPN scoreboard with inning, scores, status, venue, and weather, straight from the public ESPN site API.** > ๐Ÿ•’ **Last updated:** 2026-06-05 ยท **๐Ÿ“Š 13 fields** per record ยท Every MLB season ยท Regular, postseason, spring ยท Live scores, venues, probables The ESPN MLB Scoreboard Public API Scraper turns the [site.api.espn.com](https://site.api.espn.com/apis/site/v2/sports/baseball/mlb/) 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 every mlb season ยท regular, postseason, spring ยท live scores, venues, probables. Each row carries the most useful identifiers, names, scores, and timestamps the upstream feed exposes. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | โšพ MLB analysts | Mine schedule and result data | | ๐Ÿ“Š DFS players | Track probables and matchups | | ๐Ÿ“ฐ Sports journalists | Live game cards in one fetch | | ๐ŸŒฆ๏ธ Weather analysts | Correlate games with weather | | ๐Ÿค– ML engineers | Train run-line models | | ๐Ÿ‘ฉโ€๐Ÿ’ป Developers | Mirror the ESPN MLB scoreboard | ### ๐Ÿ“‹ What the ESPN MLB Scoreboard Public API Scraper does - Calls the ESPN MLB scoreboard endpoint for the chosen date or season. - Flattens nested competitions and competitors into top-level fields. - Exposes home and away score, status, venue, broadcast, and probables when present. - Casts numeric ids cleanly. - Surfaces upstream errors as a clean error record. > ๐Ÿ’ก **Why it matters.** The ESPN MLB scoreboard JSON is dense and deeply nested. This actor flattens it to one row per game. ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon._ ### โš™๏ธ Input
FieldTypeRequiredDescription
seasonstringNoSee examples below.
maxItemsintegerNoFree users 10, paid up to 1,000,000. Prefill is 10.
**Example 1, Today on ESPN MLB.** ```json { "maxItems": 20 } ```` **Example 2, Specific date.** ```json { "dates": "20240715", "maxItems": 20 } ``` > โš ๏ธ **Good to Know.** The ESPN site API is public and unauthenticated. ### ๐Ÿ“Š Output | Field | Type | Description | |---|---|---| | ๐Ÿ†” `gameId` | string | ESPN event id. | | โšพ `name` | string | Event name. | | ๐Ÿ“… `date` | string | First pitch time. | | ๐Ÿ  `homeTeam` | string | Home team name. | | โœˆ๏ธ `awayTeam` | string | Away team name. | | ๐Ÿ”ข `homeScore` | number | Home score. | | ๐Ÿ”ข `awayScore` | number | Away score. | | ๐ŸŸข `status` | string | Game status. | | ๐ŸŸ๏ธ `venue` | string | Venue name. | | ๐Ÿ“บ `broadcast` | string | Broadcast network. | | ๐ŸŒฆ๏ธ `weather` | string | Weather summary when present. | | ๐Ÿ•’ `scrapedAt` | string | When fetched. | | โŒ `error` | string | Set when upstream returned an error. | **Sample record.** ```json { "gameId": "", "name": "", "date": "", "homeTeam": "", "awayTeam": "", "homeScore": 0, "awayScore": 0, "status": "", "venue": "", "broadcast": "", "weather": "", "scrapedAt": "2026-06-05T12:00:00.000Z", "error": null } ``` ### โœจ Why choose this Actor | ๐Ÿ†“ | Public ESPN MLB Scoreboard endpoint, no scraping tricks needed. | | ๐Ÿงน | Flattens nested upstream payloads into one row per record. | | ๐Ÿ”ข | Casts numeric fields cleanly for spreadsheet imports. | | ๐Ÿ›Ÿ | Surfaces upstream errors as clean rows. | | ๐Ÿ”Œ | Filters exposed for the most common slicing needs. | | ๐Ÿ’พ | Push to dataset for spreadsheet, warehouse, or webhook export. | ### ๐Ÿ“ˆ 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 | ### ๐Ÿš€ 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. ### ๐Ÿ’ผ Business use cases **๐Ÿ“Š Analytics.** Mirror ESPN MLB Scoreboard into a warehouse for dashboards. **๐Ÿข Internal tooling.** Mirror the data into private apps without writing client code. **๐Ÿ“ฐ Journalism.** Verify and bulk-fetch records for stories. **๐Ÿค– Machine learning.** Build training sets from a known canonical source. ### ๐Ÿ”Œ Automating ESPN MLB Scoreboard Public API 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. ### ๐ŸŒŸ Beyond business use cases **๐ŸŽ“ Education.** Teach API integration with a clean dataset. **๐Ÿงช Personal research.** Track the data you care about. **๐Ÿค Non-profit and open data.** Power public dashboards. **๐Ÿงฐ Tinkering and prototyping.** Spin up a feed for side projects in seconds. ### ๐Ÿค– 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. ### โ“ Frequently Asked Questions **โ“ Do I need an API key?** No. The endpoint is public. **โ“ Pagination?** Yes, handled automatically where the upstream supports it. **โ“ Rate limits?** The upstream sets the rate limit. The actor surfaces upstream errors cleanly. **โ“ Schema stability?** Core fields are stable. Optional fields are passed through when present. **โ“ Real-time?** Yes, every run hits the live endpoint. **โ“ Spreadsheet export?** Yes, via the Apify dataset UI. **โ“ Scheduling?** Yes, via the Apify scheduler. **โ“ Public data only?** Yes. **โ“ Free trial?** Yes, $5 free credit on signup covers many runs. **โ“ Webhook integration?** Yes, native Apify webhooks fire on run completion. ### ๐Ÿ”Œ 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. ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [ParseForge Alpha Vantage Public Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Public stock, FX, and crypto market data. | | [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. | | [ParseForge Civitai Models Scraper](https://apify.com/parseforge/civitai-models-scraper) | Public Civitai model catalogue. | | [ParseForge Hugging Face Spaces Scraper](https://apify.com/parseforge/huggingface-spaces-scraper) | Public Hugging Face Spaces metadata. | > ๐Ÿ’ก **Pro Tip.** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records. *** **Disclaimer.** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). # Actor input Schema ## `maxItems` (type: `integer`): Free users are limited to 10 items (preview). Paid users can collect up to 1,000,000 items. ## `season` (type: `integer`): Optional season year. Defaults to current season. ## `dates` (type: `string`): Optional specific date in YYYYMMDD format. ## Actor input object example ```json { "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/espn-mlb-scoreboard-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("parseforge/espn-mlb-scoreboard-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10 }' | apify call parseforge/espn-mlb-scoreboard-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/espn-mlb-scoreboard-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN MLB Scoreboard Scraper", "description": "Fetch Major League Baseball games from the ESPN scoreboard endpoint by season year or a specific YYYYMMDD date. Returns matchups, scores, and team info as ESPN serves them. Great for daily score tickers, fantasy baseball aides, and analytics models tracking the MLB season.", "version": "0.1", "x-build-id": "AYVttrYOMb628jmny" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~espn-mlb-scoreboard-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-espn-mlb-scoreboard-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~espn-mlb-scoreboard-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-espn-mlb-scoreboard-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~espn-mlb-scoreboard-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-espn-mlb-scoreboard-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users are limited to 10 items (preview). Paid users can collect up to 1,000,000 items." }, "season": { "title": "Season year", "type": "integer", "description": "Optional season year. Defaults to current season." }, "dates": { "title": "Date (YYYYMMDD)", "type": "string", "description": "Optional specific date in YYYYMMDD format." } } }, "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 } } } } } } } } } } ```