# F1 Data Scraper — Results, Qualifying, Standings & Schedule (`du7chmaniac/f1-data-scraper`) Actor Scrape Formula 1 data: race results, qualifying times, driver and constructor standings, race schedules, driver info, constructors, and circuits. Covers all seasons from 1950 to present via the Jolpica-F1 API (Ergast replacement). - **URL**: https://apify.com/du7chmaniac/f1-data-scraper.md - **Developed by:** [Joren Maurissen](https://apify.com/du7chmaniac) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results 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.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 ## F1 Data Scraper — Race Results, Qualifying, Standings & Schedule Extract Formula 1 data from every season since 1950. Get race results, qualifying times, championship standings, race schedules, driver profiles, constructor info, and circuit details — all from a single Actor. ### Features - **Race results** — Finishing positions, points, lap times, grid positions, fastest laps, and finish status for every race - **Qualifying** — Q1/Q2/Q3 times and starting grid positions - **Driver standings** — Championship points, positions, and wins for any season - **Constructor standings** — Team championship points and positions - **Race schedule** — Calendar of all races in a season with circuit locations, dates, and times - **Driver profiles** — Names, codes, numbers, nationalities, and birth dates - **Constructor info** — Team names and nationalities - **Circuit details** — Circuit names, countries, and GPS coordinates - **Covers 1950–present** — Every F1 season since the inaugural championship - **No authentication required** — Uses the free, open-source Jolpica-F1 API ### Use cases - **Fantasy F1** — Build fantasy league tools with historical performance data - **Data analysis** — Trend analysis across seasons, driver comparisons, circuit performance - **Betting models** — Historical results for predictive modeling - **Visualizations** — Championship progression charts, points battles, lap time distributions - **RAG / AI** — Feed structured F1 data into LLM applications and chatbots - **News & content** — Auto-generate race reports and statistical summaries ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `endpoint` | string | ✅ | `latest-results` | Data type: `race-results`, `qualifying`, `standings-drivers`, `standings-constructors`, `schedule`, `drivers`, `constructors`, `circuits`, `latest-results` | | `year` | integer | ❌ | 0 (current) | F1 season year (1950–present). 0 = current season | | `round` | integer | ❌ | 0 (all) | Specific race round number. 0 = all rounds | | `limit` | integer | ❌ | 100 | Max records to return. 0 = no limit | ### Example input ```json { "endpoint": "race-results", "year": 2025, "round": 1, "limit": 20 } ```` ### Output Each record is pushed to the dataset as a JSON object. Fields vary by endpoint: #### Race results ```json { "dataType": "race-results", "season": 2025, "round": 1, "raceName": "Australian Grand Prix", "circuitName": "Albert Park Grand Prix Circuit", "country": "Australia", "date": "2025-03-16", "driverName": "Lando Norris", "driverCode": "NOR", "driverNumber": 4, "constructorName": "McLaren", "position": 1, "gridPosition": 1, "points": 25, "laps": 57, "time": "1:42:06.304", "status": "Finished", "fastestLap": "1:21.564", "fastestLapRank": 1, "scrapedAt": "2025-07-04T15:00:00Z" } ``` #### Driver standings ```json { "dataType": "standings-drivers", "season": 2025, "driverName": "Lando Norris", "driverCode": "NOR", "driverNumber": 4, "constructorName": "McLaren", "standingsPosition": 1, "totalPoints": 200, "wins": 4, "scrapedAt": "2025-07-04T15:00:00Z" } ``` #### Schedule ```json { "dataType": "schedule", "season": 2025, "round": 1, "raceName": "Australian Grand Prix", "circuitName": "Albert Park Grand Prix Circuit", "country": "Australia", "locality": "Melbourne", "date": "2025-03-16", "time": "04:00:00Z", "scrapedAt": "2025-07-04T15:00:00Z" } ``` ### Pricing **$0.50 per 1,000 results** Pay only for what you use. A typical race result query returns 20 records (one per driver) for less than $0.01. ### Data source This Actor uses the [Jolpica-F1 API](https://github.com/jolpica/jolpica-f1) — a free, open-source, community-maintained API that serves as a drop-in replacement for the deprecated Ergast API. No authentication is required. ### Notes - Data is available from the 1950 season to the current season - For the current season, only completed races will have results — future races will appear in the schedule - The `latest-results` endpoint returns results from the most recently completed race - Rate limiting is handled automatically with pagination support # Actor input Schema ## `endpoint` (type: `string`): Type of F1 data to retrieve. ## `year` (type: `integer`): F1 season year (1950–present). Use 0 or omit for current season. ## `round` (type: `integer`): Specific race round number (1–24). Use 0 or omit for all rounds. ## `limit` (type: `integer`): Maximum number of records to return. 0 = no limit. ## `proxyConfiguration` (type: `object`): Optional — use if hitting rate limits on the Jolpica API ## Actor input object example ```json { "endpoint": "latest-results", "year": 0, "round": 0, "limit": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("du7chmaniac/f1-data-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("du7chmaniac/f1-data-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 du7chmaniac/f1-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=du7chmaniac/f1-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "F1 Data Scraper — Results, Qualifying, Standings & Schedule", "description": "Scrape Formula 1 data: race results, qualifying times, driver and constructor standings, race schedules, driver info, constructors, and circuits. Covers all seasons from 1950 to present via the Jolpica-F1 API (Ergast replacement).", "version": "0.1", "x-build-id": "RS6i19maSVXudrdbB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/du7chmaniac~f1-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-du7chmaniac-f1-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/du7chmaniac~f1-data-scraper/runs": { "post": { "operationId": "runs-sync-du7chmaniac-f1-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/du7chmaniac~f1-data-scraper/run-sync": { "post": { "operationId": "run-sync-du7chmaniac-f1-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "endpoint" ], "properties": { "endpoint": { "title": "Data type", "enum": [ "race-results", "qualifying", "standings-drivers", "standings-constructors", "schedule", "drivers", "constructors", "circuits", "latest-results" ], "type": "string", "description": "Type of F1 data to retrieve.", "default": "latest-results" }, "year": { "title": "Season year", "minimum": 0, "maximum": 2100, "type": "integer", "description": "F1 season year (1950–present). Use 0 or omit for current season.", "default": 0 }, "round": { "title": "Round number", "minimum": 0, "maximum": 30, "type": "integer", "description": "Specific race round number (1–24). Use 0 or omit for all rounds.", "default": 0 }, "limit": { "title": "Max results", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum number of records to return. 0 = no limit.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional — use if hitting rate limits on the Jolpica API", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```