# World Athletics Rankings Scraper (`crawlerbros/world-athletics-rankings-scraper`) Actor Scrape official World Athletics world rankings for track and field events - 100m, marathon, high jump, javelin throw, and 30+ other disciplines. Get athlete name, nationality, ranking score, date of birth, and more. No API key required. - **URL**: https://apify.com/crawlerbros/world-athletics-rankings-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Agents - **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 ## World Athletics Rankings Scraper Scrape official **[World Athletics](https://www.worldathletics.org)** world rankings for all track and field events — 100m sprints to marathon, high jump to javelin throw, hurdles, relay races, and more. No API key required. ### Features - World rankings for 30+ track and field events (men and women) - Athlete name, nationality (IOC 3-letter code), date of birth - Official ranking score from World Athletics - Filter by nationality (e.g. only US, Kenya, Jamaica athletes) - Pagination support — retrieve top 500 ranked athletes per event - No authentication or proxy required ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | Currently `worldRankings` — official World Athletics rankings | | `event` | select | Track/field discipline (100m, marathon, high-jump, etc.) | | `gender` | select | Men or Women | | `nationality` | String | Filter to a specific IOC country code (e.g. `USA`, `KEN`, `JAM`) | | `maxItems` | Integer | Max athletes to return (1–500, default 50) | ### Output Each record represents one ranked athlete: | Field | Type | Description | |-------|------|-------------| | `rank` | Integer | World ranking position | | `athleteName` | String | Athlete full name | | `nationality` | String | IOC 3-letter country code | | `dateOfBirth` | String | Date of birth (DD MMM YYYY) | | `rankingScore` | Integer | Official World Athletics ranking score | | `event` | String | Event discipline | | `gender` | String | men or women | | `sourceUrl` | String | Source rankings page URL | | `scrapedAt` | String | ISO 8601 timestamp | ### Example Input ```json { "mode": "worldRankings", "event": "100m", "gender": "men", "maxItems": 50 } ```` ```json { "mode": "worldRankings", "event": "marathon", "gender": "women", "nationality": "ETH", "maxItems": 20 } ``` ### Example Output ```json { "rank": 1, "athleteName": "Oblique SEVILLE", "nationality": "JAM", "dateOfBirth": "16 MAR 2001", "rankingScore": 1403, "event": "100m", "gender": "men", "sourceUrl": "https://www.worldathletics.org/world-rankings/100m/men", "scrapedAt": "2024-01-15T10:30:00Z" } ``` ### Available Events **Sprints:** 100m, 200m, 400m\ **Middle/Long Distance:** 800m, 1500m, 5000m, 10000m, Half Marathon, Marathon\ **Hurdles:** 110m Hurdles (M), 100m Hurdles (W), 400m Hurdles\ **Steeplechase:** 3000m Steeplechase\ **Jumps:** High Jump, Pole Vault, Long Jump, Triple Jump\ **Throws:** Shot Put, Discus Throw, Hammer Throw, Javelin Throw\ **Combined:** Decathlon, Heptathlon\ **Relays:** 4×100m, 4×400m\ **Race Walk:** 20km, 50km ### Use Cases - **Athletics federations**: Monitor national and global athlete rankings - **Coaches and agents**: Benchmark athletes against world rankings - **Researchers**: Analyze performance trends across disciplines and nations - **Sports betting**: Track form and ranking momentum for athletics events ### FAQ **How often are rankings updated?** World Athletics updates rankings after each major competition. Data reflects the official rankings as of the scrape date. **Do I need an API key?** No. World Athletics rankings are publicly accessible without authentication. **Can I filter by country?** Yes — use the `nationality` field with a 3-letter IOC country code (e.g. `USA`, `KEN`, `JAM`, `ETH`, `GBR`). # Actor input Schema ## `mode` (type: `string`): What to fetch. Currently supports `worldRankings` — official World Athletics world rankings by event and gender. ## `event` (type: `string`): Track and field event to get rankings for. ## `gender` (type: `string`): Athlete gender category. ## `nationality` (type: `string`): Only return athletes with this 3-letter IOC country code (e.g. `USA`, `KEN`, `JAM`, `ETH`, `GBR`). ## `maxItems` (type: `integer`): Maximum number of ranked athletes to return. ## Actor input object example ```json { "mode": "worldRankings", "event": "100m", "gender": "men", "nationality": "", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): Dataset of ranked athletes from worldathletics.org. # 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": "worldRankings", "event": "100m", "gender": "men", "nationality": "", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/world-athletics-rankings-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": "worldRankings", "event": "100m", "gender": "men", "nationality": "", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/world-athletics-rankings-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": "worldRankings", "event": "100m", "gender": "men", "nationality": "", "maxItems": 50 }' | apify call crawlerbros/world-athletics-rankings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/world-athletics-rankings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Athletics Rankings Scraper", "description": "Scrape official World Athletics world rankings for track and field events - 100m, marathon, high jump, javelin throw, and 30+ other disciplines. Get athlete name, nationality, ranking score, date of birth, and more. No API key required.", "version": "1.0", "x-build-id": "JpzwdQJfvxgTi3DZ2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~world-athletics-rankings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-world-athletics-rankings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~world-athletics-rankings-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-world-athletics-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~world-athletics-rankings-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-world-athletics-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "worldRankings" ], "type": "string", "description": "What to fetch. Currently supports `worldRankings` — official World Athletics world rankings by event and gender.", "default": "worldRankings" }, "event": { "title": "Event", "enum": [ "100m", "200m", "400m", "800m", "1500m", "5000m", "10000m", "half-marathon", "marathon", "110m-hurdles", "100m-hurdles", "400m-hurdles", "3000m-steeplechase", "high-jump", "pole-vault", "long-jump", "triple-jump", "shot-put", "discus-throw", "hammer-throw", "javelin-throw", "decathlon", "heptathlon", "4x100m", "4x400m", "20km-race-walk", "50km-race-walk" ], "type": "string", "description": "Track and field event to get rankings for.", "default": "100m" }, "gender": { "title": "Gender", "enum": [ "men", "women" ], "type": "string", "description": "Athlete gender category.", "default": "men" }, "nationality": { "title": "Filter by nationality (IOC 3-letter code)", "type": "string", "description": "Only return athletes with this 3-letter IOC country code (e.g. `USA`, `KEN`, `JAM`, `ETH`, `GBR`).", "default": "" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of ranked athletes to return.", "default": 50 } } }, "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 } } } } } } } } } } ```