# Jolpica F1 Scraper - Race Results, Qualifying & Standings (`jungle_synthesizer/jolpica-f1-results-scraper`) Actor Extract Formula 1 race results, qualifying times, driver and constructor standings, lap times, and pit stops from the Jolpica F1 API — the maintained successor to the defunct Ergast API. Covers all seasons from 1950 to present including 2025-2026. - **URL**: https://apify.com/jungle\_synthesizer/jolpica-f1-results-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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. 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 ## Jolpica F1 Scraper - Race Results, Qualifying & Standings Extract Formula 1 race results, qualifying times, driver and constructor standings, lap times, and pit stops from the **Jolpica F1 API** — the community-maintained successor to the Ergast API (retired end-2024). All seasons 1950 through 2025-2026 are available. > **Why Jolpica?** Ergast was the de-facto F1 data standard for a decade. When it was retired at the end of 2024, every fantasy app, sim-racing tool, and analytics script had to migrate. Jolpica is the migration target — same schema, live updates, free and open. This actor points at Jolpica, not the dead Ergast endpoint. --- ### What Data Does It Return? Each record type is a flat JSON object with all relevant fields: #### Race Results (`race_results`) Position, driver, constructor, grid, laps, status, fastest lap time and speed, race time, and championship points — per driver per race. #### Qualifying (`qualifying`) Q1, Q2, and Q3 session lap times per driver per race. #### Driver Standings (`driver_standings`) Championship points, wins, and position per driver, per season (or per round). #### Constructor Standings (`constructor_standings`) Championship points, wins, and position per constructor, per season (or per round). #### Lap Times (`lap_times`) Per-lap position and time for every driver in a specific race (requires `season` + `round`). #### Pit Stops (`pit_stops`) Stop number, lap, time of day, and duration for every pit stop in a specific race (requires `season` + `round`). --- ### Input | Field | Type | Description | |-------|------|-------------| | `dataType` | string | Data to fetch: `race_results`, `qualifying`, `driver_standings`, `constructor_standings`, `lap_times`, `pit_stops` | | `season` | string | Season year (e.g. `2024`, `2025`) or `current`. Leave empty for all seasons. | | `round` | string | Race round number. Required for `lap_times` and `pit_stops`. | | `driverId` | string | Filter to one driver (e.g. `max_verstappen`, `hamilton`). | | `constructorId` | string | Filter to one constructor (e.g. `red_bull`, `mercedes`). | | `maxItems` | integer | Maximum records to return. `0` = unlimited. | #### Example Inputs **Get 2024 race results (all races, all drivers):** ```json { "dataType": "race_results", "season": "2024", "maxItems": 100 } ```` **Get Hamilton's full race results career:** ```json { "dataType": "race_results", "driverId": "hamilton", "maxItems": 0 } ``` **Get lap times for the 2024 Bahrain Grand Prix (round 1):** ```json { "dataType": "lap_times", "season": "2024", "round": "1", "maxItems": 0 } ``` **Get 2025 driver championship standings:** ```json { "dataType": "driver_standings", "season": "2025", "maxItems": 25 } ``` *** ### Output Schema All record types share common race metadata fields and include a `data_type` field for filtering. **Common fields:** `data_type`, `season`, `round`, `race_name`, `circuit_id`, `circuit_name`, `circuit_locality`, `circuit_country`, `circuit_lat`, `circuit_long`, `race_date`, `race_time_utc` **Race results / qualifying:** `driver_id`, `driver_code`, `driver_name`, `driver_nationality`, `driver_dob`, `constructor_id`, `constructor_name`, `position`, `position_text`, `grid`, `laps`, `status`, `points`, `fastest_lap_rank`, `fastest_lap_time`, `fastest_lap_speed_kph`, `q1_time`, `q2_time`, `q3_time` **Standings:** `standings_position`, `standings_points`, `standings_wins`, driver/constructor fields as applicable **Lap times:** `driver_id`, `lap_number`, `lap_time`, `lap_position` **Pit stops:** `driver_id`, `pit_stop_number`, `pit_stop_lap`, `pit_stop_time_of_day`, `pit_stop_duration` *** ### Data Source [Jolpica F1 API](https://api.jolpi.ca/ergast/f1/) — free, open, no authentication required. Maintained by the F1 data community as a drop-in replacement for Ergast. Covers 1950-present with ongoing updates. *** ### Need More Features? Have a use case that isn't covered — sprint results, fastest lap history by circuit, tyre strategy data, or a specific filtering combination? Open an issue or get in touch. We are happy to extend the actor for your needs. # 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. ## `dataType` (type: `string`): Type of F1 data to fetch. race\_results = race finishing positions. qualifying = Q1/Q2/Q3 times. standings = driver or constructor championship standings. lap\_times = per-lap timing per driver. pit\_stops = pit stop laps and durations. ## `season` (type: `string`): Season year (e.g. 2024, 2025) or 'current' for the ongoing season. Leave empty to get all seasons (pagination applies). ## `round` (type: `string`): Race round number within the season (e.g. 1 for the first race). Leave empty to get all rounds for the season. Required for lap\_times and pit\_stops. ## `driverId` (type: `string`): Jolpica driver identifier (e.g. max\_verstappen, hamilton, leclerc). Filters results to a single driver. Leave empty for all drivers. ## `constructorId` (type: `string`): Jolpica constructor identifier (e.g. red\_bull, mercedes, ferrari). Filters results to a single constructor. Leave empty for all. ## `maxItems` (type: `integer`): Maximum number of records to return. Each record is one result row (per driver per race, per lap, etc.). Set to 0 for unlimited. ## 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...", "dataType": "race_results", "season": "2024", "maxItems": 10 } ``` # 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...", "dataType": "race_results", "season": "2024", "round": "", "driverId": "", "constructorId": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/jolpica-f1-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...", "dataType": "race_results", "season": "2024", "round": "", "driverId": "", "constructorId": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/jolpica-f1-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...", "dataType": "race_results", "season": "2024", "round": "", "driverId": "", "constructorId": "", "maxItems": 10 }' | apify call jungle_synthesizer/jolpica-f1-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/jolpica-f1-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jolpica F1 Scraper - Race Results, Qualifying & Standings", "description": "Extract Formula 1 race results, qualifying times, driver and constructor standings, lap times, and pit stops from the Jolpica F1 API — the maintained successor to the defunct Ergast API. Covers all seasons from 1950 to present including 2025-2026.", "version": "1.0", "x-build-id": "KlTwctgdzCMNWdzFd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~jolpica-f1-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-jolpica-f1-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~jolpica-f1-results-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-jolpica-f1-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~jolpica-f1-results-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-jolpica-f1-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", "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." }, "dataType": { "title": "Data Type", "enum": [ "race_results", "qualifying", "driver_standings", "constructor_standings", "lap_times", "pit_stops" ], "type": "string", "description": "Type of F1 data to fetch. race_results = race finishing positions. qualifying = Q1/Q2/Q3 times. standings = driver or constructor championship standings. lap_times = per-lap timing per driver. pit_stops = pit stop laps and durations.", "default": "race_results" }, "season": { "title": "Season (Year)", "type": "string", "description": "Season year (e.g. 2024, 2025) or 'current' for the ongoing season. Leave empty to get all seasons (pagination applies)." }, "round": { "title": "Round Number", "type": "string", "description": "Race round number within the season (e.g. 1 for the first race). Leave empty to get all rounds for the season. Required for lap_times and pit_stops." }, "driverId": { "title": "Driver ID", "type": "string", "description": "Jolpica driver identifier (e.g. max_verstappen, hamilton, leclerc). Filters results to a single driver. Leave empty for all drivers." }, "constructorId": { "title": "Constructor ID", "type": "string", "description": "Jolpica constructor identifier (e.g. red_bull, mercedes, ferrari). Filters results to a single constructor. Leave empty for all." }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of records to return. Each record is one result row (per driver per race, per lap, etc.). Set to 0 for unlimited.", "default": 10 } } }, "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 } } } } } } } } } } ```