# ESPNcricinfo Stats Scraper (`crawlerbros/espncricinfo-scraper`) Actor Scrape cricket statistics from ESPNcricinfo Statsguru - batting, bowling, and match results for Tests, ODIs, and T20Is. - **URL**: https://apify.com/crawlerbros/espncricinfo-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Agents, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## ESPNcricinfo Stats Scraper Extract cricket statistics from [ESPNcricinfo Statsguru](https://stats.espncricinfo.com/) — the world's most comprehensive cricket statistics database covering Tests, ODIs, T20Is, and domestic cricket. ### What Does This Actor Do? ESPNcricinfo Scraper fetches innings-by-innings batting and bowling performances and match results across three modes: - **Batting Stats** — individual innings batting records: runs, balls faced, strike rate, boundaries, venue - **Bowling Stats** — individual innings bowling figures: wickets, overs, economy rate, maidens - **Match Results** — team-level match results: win/loss, margin, toss, batting order All data is filtered and cleaned — no null fields are emitted. ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `mode` | String | Stat type to scrape | `battingStats` | | `matchType` | String | Match format | `tests` | | `teamId` | Integer | Filter by team ID (optional) | — | | `startDate` | String | Filter from date (YYYY-MM-DD) | — | | `endDate` | String | Filter to date (YYYY-MM-DD) | — | | `maxItems` | Integer | Max records (1–500) | `50` | #### Match Types | Value | Description | |-------|-------------| | `tests` | Test matches (5-day) | | `odis` | One Day Internationals | | `t20is` | T20 Internationals | | `firstClass` | First-class cricket | | `listA` | List A cricket | #### Common Team IDs | Team | ID | |------|----| | England | 1 | | Australia | 2 | | South Africa | 3 | | West Indies | 4 | | New Zealand | 5 | | India | 6 | | Pakistan | 7 | | Sri Lanka | 8 | | Bangladesh | 25 | | Zimbabwe | 29 | ### Output Format #### Batting Stats ```json { "player": "BC Lara", "country": "WI", "playerUrl": "https://www.espncricinfo.com/ci/content/player/52337.html", "matchType": "tests", "statType": "batting", "runs": 400, "notOut": true, "minutes": 778, "ballsFaced": 582, "fours": 43, "sixes": 4, "strikeRate": 68.72, "innings": 1, "opposition": "England", "ground": "Antigua Recreation Ground", "matchDate": "10 Apr 2004", "mode": "battingStats", "scrapedAt": "2024-01-15T10:30:00+00:00" } ```` #### Bowling Stats ```json { "player": "JC Laker", "country": "ENG", "matchType": "tests", "statType": "bowling", "overs": "51.2", "maidens": 6, "runsConceded": 23, "wickets": 10, "economy": 1.03, "innings": 3, "opposition": "Australia", "ground": "Old Trafford", "matchDate": "27 Jul 1956", "mode": "bowlingStats", "scrapedAt": "2024-01-15T10:30:00+00:00" } ``` #### Match Results ```json { "team": "Australia", "result": "won", "margin": "45 runs", "tossResult": "won", "battedFirst": "1st", "opposition": "England", "ground": "Lords", "matchDate": "18 Jun 2023", "matchType": "tests", "statType": "matchResult", "mode": "matchResults", "scrapedAt": "2024-01-15T10:30:00+00:00" } ``` ### FAQ **Q: Is an API key required?** A: No. This actor scrapes the public Statsguru HTML pages which are freely accessible. **Q: How many records per run?** A: Statsguru returns 50 records per page. Set `maxItems` up to 500 to collect more. **Q: Can I filter by specific players?** A: Player filtering is not directly supported. Use team ID and date range to narrow results, then filter the output dataset. **Q: What does `notOut` mean?** A: In batting records, `notOut: true` means the batsman was not dismissed in that innings (indicated by an asterisk in score tables). # Actor input Schema ## `mode` (type: `string`): What type of stats to scrape. ## `matchType` (type: `string`): Type of cricket match format. ## `teamId` (type: `integer`): Filter by team ID. Common: 1=England, 2=Australia, 3=South Africa, 4=West Indies, 5=New Zealand, 6=India, 7=Pakistan, 8=Sri Lanka, 25=Bangladesh, 29=Zimbabwe. Leave blank for all teams. ## `startDate` (type: `string`): Filter matches on or after this date (YYYY-MM-DD format). Example: 2020-01-01 ## `endDate` (type: `string`): Filter matches on or before this date (YYYY-MM-DD format). Example: 2024-12-31 ## `maxItems` (type: `integer`): Maximum number of records to return (1–500). ## Actor input object example ```json { "mode": "battingStats", "matchType": "tests", "maxItems": 50 } ``` # 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": "battingStats", "matchType": "tests", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/espncricinfo-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": "battingStats", "matchType": "tests", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/espncricinfo-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": "battingStats", "matchType": "tests", "maxItems": 50 }' | apify call crawlerbros/espncricinfo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/espncricinfo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPNcricinfo Stats Scraper", "description": "Scrape cricket statistics from ESPNcricinfo Statsguru - batting, bowling, and match results for Tests, ODIs, and T20Is.", "version": "0.1", "x-build-id": "FKJnRtarcv0coImvd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~espncricinfo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-espncricinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~espncricinfo-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-espncricinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~espncricinfo-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-espncricinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "battingStats", "bowlingStats", "matchResults" ], "type": "string", "description": "What type of stats to scrape.", "default": "battingStats" }, "matchType": { "title": "Match Type", "enum": [ "tests", "odis", "t20is", "firstClass", "listA" ], "type": "string", "description": "Type of cricket match format.", "default": "tests" }, "teamId": { "title": "Team Filter (Team ID)", "type": "integer", "description": "Filter by team ID. Common: 1=England, 2=Australia, 3=South Africa, 4=West Indies, 5=New Zealand, 6=India, 7=Pakistan, 8=Sri Lanka, 25=Bangladesh, 29=Zimbabwe. Leave blank for all teams." }, "startDate": { "title": "Start Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Filter matches on or after this date (YYYY-MM-DD format). Example: 2020-01-01" }, "endDate": { "title": "End Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Filter matches on or before this date (YYYY-MM-DD format). Example: 2024-12-31" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return (1–500).", "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 } } } } } } } } } } ```