# CricBuzz Scraper (`crawlerbros/cricbuzz-scraper`) Actor Scrape live cricket match scores, upcoming matches, and series schedules from CricBuzz. - **URL**: https://apify.com/crawlerbros/cricbuzz-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, News, Developer tools - **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 ## CricBuzz Scraper Extract live cricket match scores, upcoming fixtures, and series schedules from [CricBuzz](https://www.cricbuzz.com/) — one of the world's most popular cricket information platforms. ### What Does This Actor Do? CricBuzz Scraper provides structured access to cricket match data in 3 modes: - **Live Scores** — currently live and recently completed matches with full team, status, and series information - **Upcoming Matches** — scheduled international matches (from the upcoming series international page) - **Series Schedule** — all upcoming series across international, domestic, and league cricket ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `mode` | String | Scraping mode | `liveScores` | | `matchFormat` | String | Filter by format (T20, ODI, TEST, etc.) | All formats | | `maxItems` | Integer | Max records to return (1–500) | `50` | #### Mode Options | Mode | URL | Description | |------|-----|-------------| | `liveScores` | `/cricket-match/live-scores` | Live and recent matches | | `upcomingMatches` | `/cricket-schedule/upcoming-series/international` | Upcoming international matches | | `seriesSchedule` | `/cricket-schedule/upcoming-series/all` | All upcoming series (international + domestic + leagues) | ### Output Format ```json { "matchId": "155409", "seriesId": "9241", "seriesName": "Indian Premier League 2026", "matchDesc": "Final", "matchFormat": "T20", "state": "Complete", "status": "Royal Challengers Bengaluru won by 5 wkts", "team1": "Gujarat Titans", "team1ShortName": "GT", "team2": "Royal Challengers Bengaluru", "team2ShortName": "RCB", "startDate": "2026-05-29T15:00:00+00:00", "endDate": "2026-05-29T17:45:00+00:00", "matchUrl": "https://www.cricbuzz.com/live-cricket-scores/155409", "mode": "liveScores", "scrapedAt": "2026-06-02T10:30:00+00:00" } ```` ### Match States | State | Meaning | |-------|---------| | `Complete` | Match has finished | | `In Progress` | Match currently being played | | `Preview` | Match scheduled, not yet started | | `Abandoned` | Match cancelled | ### FAQ **Q: Does this require any API keys or authentication?** A: No. CricBuzz's public pages are scraped without authentication. **Q: How many matches does `liveScores` return?** A: Typically 30–100 matches depending on active season — all matches visible on the CricBuzz live scores page. **Q: Can I filter by specific series or teams?** A: Not directly from input. Use `matchFormat` to filter by format, then process output with your own filters. **Q: How often is the data updated on CricBuzz?** A: CricBuzz updates live scores in near real-time. Run this actor periodically for the most current data. **Q: What formats does `seriesSchedule` cover?** A: All international, domestic, and league series across all formats (T20, ODI, Test, T10, etc.). # Actor input Schema ## `mode` (type: `string`): What to scrape from CricBuzz. ## `matchFormat` (type: `string`): Filter results by match format. Leave blank for all formats. ## `maxItems` (type: `integer`): Maximum number of match records to return (1–500). ## Actor input object example ```json { "mode": "liveScores", "matchFormat": "", "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": "liveScores", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/cricbuzz-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": "liveScores", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/cricbuzz-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": "liveScores", "maxItems": 50 }' | apify call crawlerbros/cricbuzz-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/cricbuzz-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CricBuzz Scraper", "description": "Scrape live cricket match scores, upcoming matches, and series schedules from CricBuzz.", "version": "0.1", "x-build-id": "9oW13X2P2wsJp12fG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~cricbuzz-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-cricbuzz-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~cricbuzz-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-cricbuzz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~cricbuzz-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-cricbuzz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "liveScores", "upcomingMatches", "seriesSchedule" ], "type": "string", "description": "What to scrape from CricBuzz.", "default": "liveScores" }, "matchFormat": { "title": "Match Format Filter", "enum": [ "", "T20", "ODI", "TEST", "T10", "OTHER" ], "type": "string", "description": "Filter results by match format. Leave blank for all formats.", "default": "" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of match 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 } } } } } } } } } } ```