# USCF Chess Scraper (`iqraa/uscf-chess-scraper`) Actor - **URL**: https://apify.com/iqraa/uscf-chess-scraper.md - **Developed by:** [Iqraa Manuel](https://apify.com/iqraa) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.05 / actor start This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## USCF Chess Tournament Scraper Scrapes a US Chess Federation member's full tournament history, game-level results, and computes win-rate statistics by opponent rating bracket. ### Features - **Modern API** (primary): Fetches structured JSON from `ratings-api.uschess.org` — no HTML parsing needed - **Legacy fallback**: Falls back to USCF MSA + chessevents.com scraping when the API is unavailable - **Player name search**: Look up by name if USCF ID is unknown - **All rating systems**: Regular, Quick, Blitz, Online (R, Q, B, OR, OQ, OB) - **Configurable brackets**: Set your own rating bucket width (default 100 points) - **Forfeit tracking**: Records B/U/H/F/X results separately - **Rich per-bracket stats**: Win%, draw%, loss%, scoring%, points, average opponent rating - **Anti-detection**: Playwright stealth mode for legacy browser fallback - **Rate limit handling**: Exponential backoff with opponent rating caching ### How it works 1. **Modern path**: Calls `ratings-api.uschess.org/api/v1/` REST API for player info, events, and games — returns clean JSON, no browser required 2. **Legacy fallback**: If the API fails, scrapes USCF MSA for tournament history and chessevents.com for crosstables (with Playwright for JS-rendered pages) 3. **Stats engine**: Aggregates games into configurable rating brackets with win/draw/loss rates, points, and average opponent rating ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `uscfId` | string | No | — | 8-digit USCF member ID (required if `playerName` is not set) | | `playerName` | string | No | — | Player name for search, e.g. "Manuel, Iqraa" | | `bracketSize` | integer | No | 100 | Width of opponent rating buckets for stats | | `includeQuick` | boolean | No | false | Include quick-rated (G/15–G/30) games | | `includeBlitz` | boolean | No | false | Include blitz-rated games | | `includeOnline` | boolean | No | false | Include online-rated games (Chess.com) | | `maxTournaments` | integer | No | 0 | Maximum tournaments to process (0 = all) | | `useModernApi` | boolean | No | true | Use modern ratings API as primary source | | `usePlaywright` | boolean | No | true | Use Playwright fallback for legacy mode | ### Example #### Input ```json { "uscfId": "30665747", "bracketSize": 100, "maxTournaments": 5 } ```` #### Output **1. Player info** ```json { "type": "player", "uscfId": "30665747", "name": "Iqraa Manuel", "state": "VA", "expiration": "2026-12-31", "fideId": "39971732", "ratings": { "regular": { "rating": 1872, "provisional": false }, "quick": { "rating": 1350, "provisional": true, "gamesPlayed": 21 } } } ``` **2. Tournament** ```json { "type": "tournament", "id": "202607050483", "name": "54th Annual World Open", "startDate": "2026-07-01", "endDate": "2026-07-05", "stateCode": "DC", "gamesCount": 9 } ``` **3. Game** ```json { "type": "game", "result": "loss", "color": "white", "opponent": { "name": "Alan Stolyarov", "uscfId": "14490864", "rating": 1979 }, "eventName": "54th Annual World Open", "ratingSystem": "R" } ``` **4. Summary** ```json { "type": "summary", "source": "modern-api", "playerName": "Iqraa Manuel", "totalGames": 243, "wins": 138, "draws": 60, "losses": 45, "forfeits": 0, "winPercent": 56.8, "drawPercent": 24.7, "lossPercent": 18.5, "scoringPercent": 69.1, "averageOpponentRating": 1678, "byRatingRange": { "0-100": { "games": 0, "wins": 0, "draws": 0, "losses": 0, "winPercent": 0, "scoringPercent": 0, "points": 0, "averageOpponentRating": null }, ... "1600-1700": { "games": 13, "wins": 9, "draws": 2, "losses": 2, "winPercent": 69.2, "scoringPercent": 76.9, "points": 10, "averageOpponentRating": 1660 }, ... "2900-3000": { "games": 0, "wins": 0, "draws": 0, "losses": 0, "winPercent": 0, "scoringPercent": 0, "points": 0, "averageOpponentRating": null } } } ``` ### API endpoints used (modern path) | Endpoint | Purpose | |---|---| | `GET /api/v1/members/{id}` | Player profile and ratings | | `GET /api/v1/members/{id}/events` | Tournament history | | `GET /api/v1/members/{id}/games?eventId=X` | Game-level results per event | ### Use cases - **Coaches**: Track student progress across tournaments - **Players**: Get a complete picture of your career statistics - **Analysts**: Study performance patterns by opponent rating range - **Parents**: Monitor junior player development ### Deployment #### Local development ```bash pip install -r requirements.txt python -m src.main ``` #### Apify ```bash apify push ``` # Actor input Schema ## `uscfId` (type: `string`): The 8-digit US Chess Federation member ID (e.g. 30665747). Required if playerName is not set. ## `playerName` (type: `string`): Search by player name (last, first) if USCF ID is unknown. Used when uscfId is empty. ## `bracketSize` (type: `integer`): Width of each opponent rating bucket for stats (e.g. 100 = 0-99, 100-199, etc.) ## `includeQuick` (type: `boolean`): Also scrape quick-rated (G/15–G/30) games ## `includeBlitz` (type: `boolean`): Also scrape blitz-rated games ## `includeOnline` (type: `boolean`): Also scrape online regular/quick/blitz games (from Chess.com) ## `useModernApi` (type: `boolean`): Use the modern ratings-api.uschess.org REST API as the primary data source. Falls back to legacy MSA if the API fails. ## `usePlaywright` (type: `boolean`): Fall back to a headless browser when HTTP scraping finds no crosstable (legacy mode only). ## `maxTournaments` (type: `integer`): Maximum number of tournaments to process (0 = unlimited) ## `crosstableSources` (type: `array`): Crosstable provider used for game-level details. Tournament history always comes from US Chess MSA. ## Actor input object example ```json { "bracketSize": 100, "includeQuick": false, "includeBlitz": false, "includeOnline": false, "useModernApi": true, "usePlaywright": true, "maxTournaments": 0, "crosstableSources": [ "chessevents" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("iqraa/uscf-chess-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 = {} # Run the Actor and wait for it to finish run = client.actor("iqraa/uscf-chess-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 '{}' | apify call iqraa/uscf-chess-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=iqraa/uscf-chess-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USCF Chess Scraper", "version": "1.0", "x-build-id": "1LOUheqZynOL4GPLb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/iqraa~uscf-chess-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-iqraa-uscf-chess-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/iqraa~uscf-chess-scraper/runs": { "post": { "operationId": "runs-sync-iqraa-uscf-chess-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/iqraa~uscf-chess-scraper/run-sync": { "post": { "operationId": "run-sync-iqraa-uscf-chess-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "uscfId": { "title": "USCF Member ID", "pattern": "^\\d{8}$", "type": "string", "description": "The 8-digit US Chess Federation member ID (e.g. 30665747). Required if playerName is not set." }, "playerName": { "title": "Player name", "type": "string", "description": "Search by player name (last, first) if USCF ID is unknown. Used when uscfId is empty." }, "bracketSize": { "title": "Rating bracket size", "minimum": 25, "maximum": 500, "type": "integer", "description": "Width of each opponent rating bucket for stats (e.g. 100 = 0-99, 100-199, etc.)", "default": 100 }, "includeQuick": { "title": "Include Quick rated games", "type": "boolean", "description": "Also scrape quick-rated (G/15–G/30) games", "default": false }, "includeBlitz": { "title": "Include Blitz rated games", "type": "boolean", "description": "Also scrape blitz-rated games", "default": false }, "includeOnline": { "title": "Include Online rated games", "type": "boolean", "description": "Also scrape online regular/quick/blitz games (from Chess.com)", "default": false }, "useModernApi": { "title": "Use modern USCF API", "type": "boolean", "description": "Use the modern ratings-api.uschess.org REST API as the primary data source. Falls back to legacy MSA if the API fails.", "default": true }, "usePlaywright": { "title": "Use Playwright (browser) for JS-rendered pages", "type": "boolean", "description": "Fall back to a headless browser when HTTP scraping finds no crosstable (legacy mode only).", "default": true }, "maxTournaments": { "title": "Max tournaments", "minimum": 0, "maximum": 200, "type": "integer", "description": "Maximum number of tournaments to process (0 = unlimited)", "default": 0 }, "crosstableSources": { "title": "Crosstable sources to try", "type": "array", "description": "Crosstable provider used for game-level details. Tournament history always comes from US Chess MSA.", "items": { "type": "string", "enum": [ "chessevents" ], "enumTitles": [ "CCA / chessevents.com" ] }, "default": [ "chessevents" ] } } }, "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 } } } } } } } } } } ```