# Premier League Fixtures & Results Scraper (PulseLive) (`jungle_synthesizer/premier-league-pulselive-fixtures-results-scraper`) Actor Scrapes Premier League fixtures and results from the official PulseLive API that powers premierleague.com. Returns match details including kickoff times, scores, half-time scores, attendance, referee, and venue for every fixture in a season. - **URL**: https://apify.com/jungle\_synthesizer/premier-league-pulselive-fixtures-results-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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.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 ## Premier League Fixtures & Results Scraper (PulseLive) Scrapes Premier League fixture schedules, match results, half-time scores, attendance, and referee data from the official PulseLive API — the same JSON backend that powers premierleague.com. ### What you get One dataset row per fixture: | Field | Description | |-------|-------------| | `fixture_id` | Unique PulseLive fixture ID | | `season_label` | Season label, e.g. `2024/25` | | `matchweek` | Gameweek number (1–38) | | `kickoff_utc` | Kick-off datetime in UTC (ISO-8601) | | `home_team` / `away_team` | Full club name | | `home_team_short` / `away_team_short` | Short club name (e.g. `Man Utd`) | | `home_score` / `away_score` | Full-time score (null for upcoming fixtures) | | `ht_home_score` / `ht_away_score` | Half-time score (null for upcoming fixtures) | | `venue_name` | Stadium name | | `venue_city` | City | | `referee` | Match referee (e.g. `Robert Jones`) | | `attendance` | Crowd attendance (null for upcoming fixtures) | | `status` | `C` = completed, `U` = unplayed, `L` = live | | `source` | Source API endpoint URL | A full Premier League season is 380 fixtures (20 teams x 38 matchdays). ### Why this actor - **Direct from the source** — PulseLive powers premierleague.com. Data is official, structured, and free. - **Referee + HT score + attendance** — fields that multi-league aggregators typically strip. - **Datacenter-friendly** — the API is open with a CORS Origin header; no residential proxy needed. - **Season-aware** — pass any `seasonId` to pull historical seasons or the upcoming 2026/27 season (starts Aug 15 2026). ### Input ```json { "maxItems": 380, "seasonId": 719 } ```` | Field | Default | Description | |-------|---------|-------------| | `maxItems` | `500` | Maximum fixtures to return. Set to `380` for a complete PL season. | | `seasonId` | `719` | PulseLive season ID. `719` = 2024/25. See notes below for other seasons. | #### Finding season IDs PulseLive season IDs change each year. To discover the current/upcoming season ID, query: ``` https://footballapi.pulselive.com/football/competitions/1/compseasons ``` (Add `Origin: https://www.premierleague.com` header.) Known IDs: - `578` — 2022/23 - `596` — 2023/24 - `719` — 2024/25 - The 2026/27 ID will be available once the official site publishes it ahead of the Aug 15 2026 season start. ### How it works The actor calls the PulseLive fixtures list endpoint paginating 40 records at a time, then fetches the individual fixture detail for each match to add half-time scores and referee information. Both calls use the `Origin: https://www.premierleague.com` header required by the CORS guard on the API server. A full 380-fixture season pull (list pages + 380 detail calls) takes roughly 10-15 minutes. ### Example output ```json { "fixture_id": "115827", "season_label": "2024/25", "matchweek": 1, "kickoff_utc": "2024-08-16T19:00:00.000Z", "home_team": "Manchester United", "home_team_short": "Man Utd", "away_team": "Fulham", "away_team_short": "Fulham", "home_score": 1, "away_score": 0, "ht_home_score": 0, "ht_away_score": 0, "venue_name": "Old Trafford", "venue_city": "Manchester", "referee": "Robert Jones", "attendance": 73297, "status": "C", "source": "https://footballapi.pulselive.com/football/fixtures?comps=1&compSeasons=719&pageSize=40" } ``` ### Use cases - Fantasy football / FPL data feeds (fixtures, kickoff times, venue) - Sports betting models (HT/FT scores, referee tendencies, attendance) - Journalism and statistics (historical season archives) - Building Premier League dashboards and APIs ### Notes - Upcoming fixtures have `home_score`, `away_score`, `ht_home_score`, `ht_away_score`, `attendance`, and `referee` set to `null`. - The actor covers the English Premier League (competition ID 1). Other competitions (Championship, FA Cup) have different competition IDs and are not included. - Rate limited to one request per 200ms. The actor is polite to the upstream API. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of fixtures to return. Defaults to all fixtures in the requested season. ## `seasonId` (type: `integer`): PulseLive season ID to scrape. Use the /football/competitions endpoint to discover IDs. Defaults to the 2024/25 season (719). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "seasonId": 719 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "seasonId": 719 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/premier-league-pulselive-fixtures-results-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "seasonId": 719, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/premier-league-pulselive-fixtures-results-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "seasonId": 719 }' | apify call jungle_synthesizer/premier-league-pulselive-fixtures-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/premier-league-pulselive-fixtures-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Premier League Fixtures & Results Scraper (PulseLive)", "description": "Scrapes Premier League fixtures and results from the official PulseLive API that powers premierleague.com. Returns match details including kickoff times, scores, half-time scores, attendance, referee, and venue for every fixture in a season.", "version": "0.1", "x-build-id": "PXlaDK8n9yxhNvP5p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~premier-league-pulselive-fixtures-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-premier-league-pulselive-fixtures-results-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/jungle_synthesizer~premier-league-pulselive-fixtures-results-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-premier-league-pulselive-fixtures-results-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/jungle_synthesizer~premier-league-pulselive-fixtures-results-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-premier-league-pulselive-fixtures-results-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of fixtures to return. Defaults to all fixtures in the requested season.", "default": 500 }, "seasonId": { "title": "Season ID", "type": "integer", "description": "PulseLive season ID to scrape. Use the /football/competitions endpoint to discover IDs. Defaults to the 2024/25 season (719).", "default": 719 } } }, "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 } } } } } } } } } } ```