# ESPN Standings (`crawlerbros/espn-standings`) Actor Scrape league standings tables from ESPN across 16 leagues and 5 sports. Supports current and historical seasons. No account or proxy required. - **URL**: https://apify.com/crawlerbros/espn-standings.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** News, SEO tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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 ## ESPN Standings Scraper Scrape league standings tables from [ESPN](https://www.espn.com) — no account or subscription required. Supports 16 leagues across 5 sports including the NBA, NFL, MLB, NHL, MLS, WNBA, NCAA basketball and football, Premier League, La Liga, Champions League, Bundesliga, Serie A, Ligue 1, and Liga MX. ### What This Scraper Does This actor fetches standings tables from ESPN's public JSON API and returns one flat record per team with all available stats: wins, losses, win percentage, points for/against, games behind, playoff seed, streak, home/away records, and more. Supports current and historical seasons. ### Supported Leagues | Code | Sport | League | |---|---|---| | `nba` | Basketball | NBA | | `wnba` | Basketball | WNBA | | `ncaam` | Basketball | NCAA Men's | | `ncaaw` | Basketball | NCAA Women's | | `nfl` | Football | NFL | | `ncaaf` | Football | NCAA Football | | `mlb` | Baseball | MLB | | `nhl` | Hockey | NHL | | `mls` | Soccer | Major League Soccer | | `epl` | Soccer | English Premier League | | `laliga` | Soccer | La Liga (Spain) | | `ucl` | Soccer | UEFA Champions League | | `bundesliga` | Soccer | Bundesliga (Germany) | | `seriea` | Soccer | Serie A (Italy) | | `ligue1` | Soccer | Ligue 1 (France) | | `ligamx` | Soccer | Liga MX (Mexico) | ### Input | Field | Type | Description | |---|---|---| | **Leagues** | List of strings | League codes to scrape. Defaults to `["nba"]`. | | **Season** | Integer (optional) | Year the season ends (e.g. `2026` for NBA 2025-26). Omit for current season. | | **Max Items** | Integer | Maximum number of team records across all leagues (1–10,000). Default: 1000. | #### Season Encoding ESPN uses the **ending year** for cross-year seasons. Examples: - NBA 2025-26 season → `season: 2026` - EPL 2025-26 season → `season: 2026` - NFL 2025 season (Sep 2025 – Feb 2026) → `season: 2025` - MLB 2025 season → `season: 2025` ### Output Each record represents one team's standings row. Fields marked `?` are optional and appear only when ESPN makes them publicly available for that sport/season. | Field | Type | Description | |---|---|---| | `league` | string | League code e.g. `"nba"` | | `sport` | string | Sport e.g. `"basketball"` | | `season` | integer | Season year (ending year) | | `conference` | string? | e.g. `"Eastern Conference"` — omitted for flat-table leagues | | `division` | string? | e.g. `"Atlantic Division"` — omitted when not applicable | | `groupName` | string? | e.g. `"Group A"` for UCL; omitted otherwise | | `rank` | integer | Position in the group | | `playoffSeed` | integer? | Playoff seed if available | | `teamId` | string | ESPN team ID | | `teamName` | string | Full team name | | `teamAbbreviation` | string? | Short code e.g. `"BOS"` | | `teamLogo` | string? | Logo URL | | `wins` | integer | | | `losses` | integer | | | `ties` | integer? | MLB/NHL/soccer | | `overtimeLosses` | integer? | NHL-specific | | `gamesPlayed` | integer? | | | `winPercent` | number? | 0.0–1.0 | | `gamesBehind` | number? | | | `points` | integer? | Soccer/NHL point totals | | `pointsFor` | number? | | | `pointsAgainst` | number? | | | `pointDifferential` | number? | | | `avgPointsFor` | number? | Per-game avg | | `avgPointsAgainst` | number? | Per-game avg | | `streak` | string? | e.g. `"W5"` | | `homeRecord` | string? | e.g. `"20-8"` | | `awayRecord` | string? | e.g. `"15-14"` | | `divisionRecord` | string? | NA sports | | `conferenceRecord` | string? | NA sports | | `lastTenRecord` | string? | e.g. `"7-3"` | | `clincher` | string? | e.g. `"x"` (clinched playoff), `"y"` (clinched division) | | `note` | string? | ESPN qualification/seed note | | `scrapedAt` | string | ISO 8601 UTC scrape timestamp | Fields are included only when ESPN returns data for them — no nulls. #### Error Records If a league fetch fails, the record contains: | Field | Description | |---|---| | `inputLeague` | The league code that was attempted | | `inputSeason` | The season that was attempted (or null) | | `error` | Human-readable error message | | `scrapedAt` | Timestamp | ### Frequently Asked Questions **Do I need an ESPN account?** No. This scraper only uses ESPN's public JSON API which does not require authentication. **Is a proxy required?** No. ESPN's public API has no bot protection or rate limiting for typical use. **How do I get last season's standings?** Set `season` to the year the season ended. For the NBA 2023-24 season, use `2024`. For the NFL 2023 season, use `2023`. **Can I filter by conference or division?** Yes — all team records include `conference` and `division` fields when applicable. Use Apify's dataset view filters to narrow the results, or filter in your downstream pipeline. **Why are some fields missing on some records?** ESPN's standings endpoint returns different stats per sport. For example, `points` appears only for soccer and NHL; `gamesBehind` is baseball/basketball/football; `overtimeLosses` is NHL-only. Per our design, fields only appear when ESPN publishes data — no nulls. **What's the difference between this actor and the ESPN Scores & Schedules actor?** - **Scores & Schedules** returns game-by-game data: scores, schedules, leaders, odds, attendance. - **Standings** returns team-by-team season standings: wins, losses, rankings, playoff position. **How often does the data update?** ESPN updates standings in near real-time as games finish. Running the actor returns the latest state at fetch time. **Can I combine multiple leagues in one run?** Yes. Pass multiple codes in the `leagues` array, e.g. `["nba", "nfl", "epl"]`. All teams from all leagues are returned in a single dataset, each tagged with their `league` field. # Actor input Schema ## `leagues` (type: `array`): League codes to scrape. Supported: nba, nfl, mlb, nhl, mls, wnba, ncaam, ncaaw, ncaaf, epl, laliga, ucl, bundesliga, seriea, ligue1, ligamx. ## `season` (type: `integer`): Year the season ends (e.g. 2026 for NBA 2025-26). Leave empty for current season. ## `maxItems` (type: `integer`): Maximum number of team records to return across all leagues (1–10,000). ## Actor input object example ```json { "leagues": [ "nba" ], "maxItems": 1000 } ```` # 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 = { "leagues": [ "nba" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/espn-standings").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 = { "leagues": ["nba"] } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/espn-standings").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 '{ "leagues": [ "nba" ] }' | apify call crawlerbros/espn-standings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/espn-standings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Standings", "description": "Scrape league standings tables from ESPN across 16 leagues and 5 sports. Supports current and historical seasons. No account or proxy required.", "version": "0.0", "x-build-id": "QRxoBFjTqpq1eeoJX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~espn-standings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-espn-standings", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~espn-standings/runs": { "post": { "operationId": "runs-sync-crawlerbros-espn-standings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~espn-standings/run-sync": { "post": { "operationId": "run-sync-crawlerbros-espn-standings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "leagues" ], "properties": { "leagues": { "title": "Leagues", "type": "array", "description": "League codes to scrape. Supported: nba, nfl, mlb, nhl, mls, wnba, ncaam, ncaaw, ncaaf, epl, laliga, ucl, bundesliga, seriea, ligue1, ligamx.", "default": [ "nba" ], "items": { "type": "string" } }, "season": { "title": "Season (optional)", "minimum": 1990, "maximum": 2100, "type": "integer", "description": "Year the season ends (e.g. 2026 for NBA 2025-26). Leave empty for current season." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of team records to return across all leagues (1–10,000).", "default": 1000 } } }, "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 } } } } } } } } } } ```