# Flashscore Scraper — Live Scores & Fixtures | from $0.90/1K (`bovi/flashscore-scores-scraper`) Actor Scrape Flashscore live scores, fixtures and results by sport, date or league. Returns home/away teams, score, status (live/finished/scheduled), kickoff time, league, country, match ID and URL. Supports soccer, tennis, basketball and 15+ more sports. - **URL**: https://apify.com/bovi/flashscore-scores-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Other, News, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.87 / 1,000 match-items This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/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 ## Flashscore Scraper — Live Scores, Fixtures & Results Scrape [Flashscore.com](https://www.flashscore.com) live scores, fixtures, and results across 19+ sports including football, tennis, basketball, hockey, handball, volleyball, and more. ### What you get One record per match, with: | Field | Description | |---|---| | `match_id` | Unique Flashscore match ID | | `match_url` | Full URL to the match page | | `home_team` / `away_team` | Team names | | `home_score` / `away_score` | Scores (`null` = not yet played) | | `status` | `scheduled` / `live` / `finished` / `postponed` / `abandoned` | | `live_minute` | Current match minute (live games only) | | `kickoff_time` | ISO-8601 UTC kickoff timestamp | | `sport` | Sport name (football, basketball, etc.) | | `country` | Country / region | | `league` | Competition / league name | | `league_url` | Full URL to the league page | | `tournament_id` | Internal Flashscore tournament ID | | `round` | Competition round | ### Inputs | Input | Type | Description | |---|---|---| | `sport` | Select | Sport to scrape (default: `football`) | | `date` | String | Filter by date `YYYY-MM-DD` (UTC) — leave blank for today's feed | | `leagueFilter` | String | Case-insensitive substring to filter league/country | | `statusFilter` | Select | `all` / `scheduled` / `live` / `finished` | | `maxItems` | Number | Max records to push (default 100, 0 = unlimited) | | `proxyConfiguration` | Proxy | Apify RESIDENTIAL proxy recommended | ### Sports supported `football`, `tennis`, `basketball`, `hockey`, `handball`, `volleyball`, `baseball`, `rugby-union`, `american-football`, `cricket`, `badminton`, `table-tennis`, `boxing`, `mma`, `cycling`, `golf`, `rugby-league`, `ice-hockey`, `floorball` ### How it works Flashscore uses an internal feed API at `GET https://www.flashscore.com/x/feed/f_{sportId}_1_1_en_1` with a static `x-fsign: SW9D1eZo` authentication header (hardcoded in Flashscore's `core_2_2302000000.js`). The response is a custom `÷`/`¬`-delimited format containing all match data for the current day. No JavaScript execution, no HTML parsing — pure API call. Apify RESIDENTIAL proxy handles IP-based restrictions. ### Pricing Pay Per Event (PPE): **$1.50 per 1,000 match items** returned. Football: 700+ matches per day. Basketball: 50–100. Tennis: 30–60. ### Notes - The Flashscore feed covers the current day's matches (today's schedule). Use `date` filter to limit results to a specific day. - Scores are `null` for scheduled matches; populated for live and finished games. - Live games include `live_minute` (current minute). - Postponed/abandoned matches have `status: postponed` or `status: abandoned` with `home_score: null`. # Actor input Schema ## `sport` (type: `string`): Sport to scrape. Use 'football' for soccer. Supports: football, tennis, basketball, hockey, handball, volleyball, baseball, rugby-union, american-football, cricket, badminton, table-tennis, boxing, mma, cycling, golf, rugby-league, ice-hockey, floorball. ## `date` (type: `string`): Filter matches to this calendar date (UTC). Format: YYYY-MM-DD, e.g. '2026-06-05'. Leave blank to get all matches in the current feed (today and near-term upcoming). When set, only matches whose kickoff falls on this date are returned. ## `leagueFilter` (type: `string`): Case-insensitive substring to filter by league or country name. E.g. 'Premier League', 'NBA', 'England'. Leave blank to return all leagues. ## `statusFilter` (type: `string`): Return only matches with a specific status, or all. 'live' = currently in progress; 'scheduled' = not yet started; 'finished' = completed. ## `maxItems` (type: `integer`): Maximum number of match records to push. Set to 0 for all available (can be 700+ for football). Default 100. You are charged per record returned. ## `proxyConfiguration` (type: `object`): Apify Residential proxy recommended for best reliability. Flashscore may block datacenter IPs. No external proxy account is required — Apify's built-in residential proxy is billed to your run. ## Actor input object example ```json { "sport": "football", "statusFilter": "all", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `results` (type: `string`): Dataset containing Flashscore Scores Scraper records (sport, league, country, home\_team, away\_team, home\_score, away\_score, status, kickoff\_time, match\_url). # 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 = { "date": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/flashscore-scores-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 = { "date": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/flashscore-scores-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 '{ "date": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/flashscore-scores-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/flashscore-scores-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flashscore Scraper — Live Scores & Fixtures | from $0.90/1K", "description": "Scrape Flashscore live scores, fixtures and results by sport, date or league. Returns home/away teams, score, status (live/finished/scheduled), kickoff time, league, country, match ID and URL. Supports soccer, tennis, basketball and 15+ more sports.", "version": "0.1", "x-build-id": "d6plqMLNYa7lYBHGO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~flashscore-scores-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-flashscore-scores-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/bovi~flashscore-scores-scraper/runs": { "post": { "operationId": "runs-sync-bovi-flashscore-scores-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/bovi~flashscore-scores-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-flashscore-scores-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": { "sport": { "title": "Sport", "enum": [ "football", "tennis", "basketball", "hockey", "volleyball", "handball", "baseball", "rugby-union", "american-football", "cricket", "badminton", "table-tennis", "boxing", "mma", "cycling", "golf", "rugby-league", "ice-hockey", "floorball" ], "type": "string", "description": "Sport to scrape. Use 'football' for soccer. Supports: football, tennis, basketball, hockey, handball, volleyball, baseball, rugby-union, american-football, cricket, badminton, table-tennis, boxing, mma, cycling, golf, rugby-league, ice-hockey, floorball.", "default": "football" }, "date": { "title": "Date (YYYY-MM-DD)", "type": "string", "description": "Filter matches to this calendar date (UTC). Format: YYYY-MM-DD, e.g. '2026-06-05'. Leave blank to get all matches in the current feed (today and near-term upcoming). When set, only matches whose kickoff falls on this date are returned." }, "leagueFilter": { "title": "League / competition filter (optional)", "type": "string", "description": "Case-insensitive substring to filter by league or country name. E.g. 'Premier League', 'NBA', 'England'. Leave blank to return all leagues." }, "statusFilter": { "title": "Match status filter", "enum": [ "all", "scheduled", "live", "finished" ], "type": "string", "description": "Return only matches with a specific status, or all. 'live' = currently in progress; 'scheduled' = not yet started; 'finished' = completed.", "default": "all" }, "maxItems": { "title": "Max match items to return", "minimum": 0, "type": "integer", "description": "Maximum number of match records to push. Set to 0 for all available (can be 700+ for football). Default 100. You are charged per record returned.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Residential proxy recommended for best reliability. Flashscore may block datacenter IPs. No external proxy account is required — Apify's built-in residential proxy is billed to your run.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```