# Grand Tour Official Stage & Rider Results (`jungle_synthesizer/grand-tour-official-stage-rider-results-scraper`) Actor Scrapes official stage results and rider classifications from Tour de France, Giro d'Italia, and La Vuelta. Returns one record per rider per stage with rank, time, team, nationality, bib number, and classification type (stage / GC / points / mountains / youth). - **URL**: https://apify.com/jungle\_synthesizer/grand-tour-official-stage-rider-results-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 0.0% 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 ## Grand Tour Official Stage & Rider Results Scrapes official stage results and rider classifications from the three Grand Tours of professional cycling: Tour de France, Giro d'Italia, and La Vuelta. Returns one record per rider per stage per classification type, sourced directly from official tour websites (letour.fr, giroditalia.it, lavuelta.es). ### What you get Each record in the dataset contains: | Field | Description | |-------|-------------| | `tour` | Tour identifier: `tour-de-france`, `giro-d-italia`, `la-vuelta` | | `year` | Season year (e.g. 2026) | | `stage_number` | Stage number (1–21) | | `rank` | Rider's finishing rank in this classification | | `rider_id` | Official-site rider identifier (numeric ID for TdF/Vuelta, slug for Giro) | | `rider_name` | Rider full name | | `rider_nationality` | Rider nationality code (available for TdF and Vuelta) | | `team` | Team name | | `team_id` | Team slug identifier | | `finish_time` | Finish time (HH:MM:SS for stage winner, +offset for others) | | `bib_number` | Rider bib number (available for TdF and Vuelta) | | `classification` | Classification type: `stage`, `gc`, `points`, `mountains`, `youth` | | `jersey_holder` | Whether the rider leads this classification at this stage | | `dnf` / `dns` / `hd` | Did Not Finish / Did Not Start / Hors Délai (outside time limit) | | `source_url` | Source page URL | ### Input configuration | Parameter | Type | Description | |-----------|------|-------------| | `tours` | array | **Required.** Which tours to scrape: `tour-de-france`, `giro-d-italia`, `la-vuelta` | | `stages` | array | Stage numbers to include (e.g. `[1, 2, 3]`). Leave empty for all available stages. | | `classifications` | array | Classification types: `stage`, `gc`, `points`, `mountains`, `youth`. Default: `stage` only. | | `maxItems` | integer | Maximum records to return (0 = no limit) | ### Classification types - **stage** — Order of arrival: each rider's finishing time for the individual stage - **gc** — General classification: overall standings by cumulative elapsed time - **points** — Points classification (sprint points accumulated across stages) - **mountains** — King of the Mountains: climbing points accumulated across stages - **youth** — Best young rider classification ### Coverage The actor scrapes the current edition of each Grand Tour as published on the official sites. All three tours run annually: - **Tour de France**: July, 21 stages - **Giro d'Italia**: May, 21 stages - **La Vuelta a España**: August, 21 stages ### Why official sources? The main alternative source (procyclingstats.com) is protected by Cloudflare Turnstile, making it unreliable for automated data collection. Official Grand Tour sites serve clean server-rendered HTML with no anti-bot measures, providing more reliable data lineage directly from the race organisers. ### Notes - Rider nationality and bib number are available for Tour de France and La Vuelta (both use ASO's platform). The Giro d'Italia uses CSS-based flags that are not accessible server-side; these fields are `null` for Giro records. - Stage metadata (distance, start/finish city, stage type, date) is not available on the rankings pages and returns `null` in all records. - The actor always scrapes the current/ongoing edition. Past editions are not available via these official URLs. # 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. ## `tours` (type: `array`): Which Grand Tours to scrape. One or more of: tour-de-france, giro-d-italia, la-vuelta ## `year` (type: `integer`): Which season year to scrape (e.g. 2025 for the 2025 editions). Leave blank to default to the current/most-recent season on each site. ## `stages` (type: `array`): Which stage numbers to include. Leave blank to scrape all available stages. ## `classifications` (type: `array`): Which classification types to scrape. One or more of: stage, gc, points, mountains, youth ## `maxItems` (type: `integer`): Maximum number of records to return (0 = no limit) ## 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...", "tours": [ "tour-de-france" ], "year": 2025, "stages": [ 1, 2 ], "classifications": [ "stage" ], "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...", "tours": [ "tour-de-france" ], "year": 2025, "stages": [ 1, 2 ], "classifications": [ "stage" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/grand-tour-official-stage-rider-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...", "tours": ["tour-de-france"], "year": 2025, "stages": [ 1, 2, ], "classifications": ["stage"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/grand-tour-official-stage-rider-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...", "tours": [ "tour-de-france" ], "year": 2025, "stages": [ 1, 2 ], "classifications": [ "stage" ], "maxItems": 10 }' | apify call jungle_synthesizer/grand-tour-official-stage-rider-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/grand-tour-official-stage-rider-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grand Tour Official Stage & Rider Results", "description": "Scrapes official stage results and rider classifications from Tour de France, Giro d'Italia, and La Vuelta. Returns one record per rider per stage with rank, time, team, nationality, bib number, and classification type (stage / GC / points / mountains / youth).", "version": "0.1", "x-build-id": "a4Cct0KrxkSsnJ3KN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~grand-tour-official-stage-rider-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-grand-tour-official-stage-rider-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~grand-tour-official-stage-rider-results-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-grand-tour-official-stage-rider-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~grand-tour-official-stage-rider-results-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-grand-tour-official-stage-rider-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": [ "tours" ], "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." }, "tours": { "title": "Tours to scrape", "type": "array", "description": "Which Grand Tours to scrape. One or more of: tour-de-france, giro-d-italia, la-vuelta", "items": { "type": "string" } }, "year": { "title": "Season year", "type": "integer", "description": "Which season year to scrape (e.g. 2025 for the 2025 editions). Leave blank to default to the current/most-recent season on each site." }, "stages": { "title": "Stage numbers to scrape", "type": "array", "description": "Which stage numbers to include. Leave blank to scrape all available stages.", "items": { "type": "string" } }, "classifications": { "title": "Classification types", "type": "array", "description": "Which classification types to scrape. One or more of: stage, gc, points, mountains, youth", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return (0 = no limit)", "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 } } } } } } } } } } ```