# ProCyclingStats Scraper (`crawlerbros/procyclingstats-scraper`) Actor Scrape ProCyclingStats.com - professional road cycling race results, rider profiles, team rosters, and PCS/UCI rankings. No login or API key required. - **URL**: https://apify.com/crawlerbros/procyclingstats-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ProCyclingStats Scraper Scrape **ProCyclingStats.com** — the leading professional road cycling statistics database. Fetch race and stage results, rider profiles and career stats, team rosters, and PCS/UCI ranking tables covering every discipline (GC, climbers, sprinters, time trial, one-day races, and more). HTTP-only, no login or API key required. ### What this actor does - **Five modes:** `raceResults`, `riderProfile`, `teamRoster`, `rankings`, `raceStartlist` - **Race results** for any race, season, and stage/classification page (stage, prologue, or overall GC/one-day result) - **Race startlists** with every entrant's bib number, team, nationality, and DNF/DNS/OTL/DSQ status if the race has concluded - **Rider profiles** with date of birth, nationality, physical stats, specialty points, current team, and PCS/all-time ranking position - **Team rosters** with every rider's nationality, age, and jersey number - **36 ranking types** across PCS ranking, PCS season stats, PCS career wins, UCI World Ranking, and rider specialties (climbers, sprinters, time trial, one-day races, and more), for both men elite and women elite categories - Empty fields are omitted from every record ### Output per race result (recordType = `raceResult`) - `rank`, `bib`, `age` - `riderName`, `riderUrl`, `riderNationality` - `team`, `teamUrl` - `specialty` — rider's classified specialty for that result (e.g. `Sprint`, `Climber`) - `uciPoints`, `points`, `time`, `gcTimeLag` - `raceName`, `raceSlug`, `raceYear`, `raceStage`, `raceDate`, `raceClassification`, `raceCategory`, `raceDistance` - `sourceUrl`, `recordType: "raceResult"`, `scrapedAt` ### Output per rider (recordType = `rider`) - `name`, `riderSlug`, `dateOfBirth`, `age` - `nationality`, `nationalityUrl` - `weightKg`, `heightM` - `placeOfBirth`, `placeOfBirthUrl` - `specialtyPoints` — object with `oneDayRaces`, `gc`, `timeTrial`, `sprint`, `climber`, `hills` scores - `pcsRanking`, `allTimeRanking` — current PCS ranking positions - `currentTeam`, `currentTeamUrl` - `photoUrl` - `sourceUrl`, `recordType: "rider"`, `scrapedAt` ### Output per team roster row (recordType = `teamRider`) - `riderName`, `riderUrl`, `riderNationality`, `jerseyNumber`, `age` - `teamName`, `teamStatus`, `teamAbbreviation`, `teamLicenseCountry`, `teamSlug` - `sourceUrl`, `recordType: "teamRider"`, `scrapedAt` ### Output per startlist entrant (recordType = `startlistRider`) - `bib` - `riderName`, `riderUrl`, `riderNationality` - `status` — `DNF` / `DNS` / `OTL` / `DSQ` if PCS records a withdrawal; omitted for riders who started/finished normally - `team`, `teamUrl` - `raceName`, `raceSlug`, `raceYear`, `raceDate`, `raceClassification` - `sourceUrl`, `recordType: "startlistRider"`, `scrapedAt` ### Output per ranking row (recordType = `ranking`) - `rank`, `prevRank` - `name`, `nameUrl`, `entityType` (`rider` / `team` / `nation`) - `team`, `teamUrl` — rider's current team (individual rankings only) - `points` - `rankingType`, `rankingCategory` - `sourceUrl`, `recordType: "ranking"`, `scrapedAt` ### Input | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `raceResults` | `raceResults` / `riderProfile` / `teamRoster` / `rankings` / `raceStartlist` | | `raceSlug` | string | `tour-de-france` | Race URL slug (mode=raceResults, raceStartlist) | | `raceYear` | integer | `2024` | Season year (mode=raceResults, raceStartlist) | | `raceStage` | string | `stage-1` | Stage/result page: `stage-1`, `gc`, `result`, `prologue`, etc. (mode=raceResults) | | `riderSlugs` | array | `["tadej-pogacar"]` | Rider URL slugs to look up (mode=riderProfile) | | `teamSlugs` | array | `["uae-team-emirates-2024"]` | Team URL slugs including season year (mode=teamRoster) | | `rankingType` | string | `individual` | One of 36 ranking types; available options depend on `rankingCategory` (mode=rankings) | | `rankingCategory` | string | `me` | `me` (men elite) / `we` (women elite) (mode=rankings) | | `maxItems` | integer | `30` | Maximum number of records to return (1–500) | | `proxyConfiguration` | object | AUTO proxy | Apify proxy configuration. ProCyclingStats blocks direct requests from Apify's datacenter IPs; the free AUTO group resolves this automatically. | ### Examples #### Example: Tour de France stage 1 results ```json { "mode": "raceResults", "raceSlug": "tour-de-france", "raceYear": 2024, "raceStage": "stage-1", "maxItems": 50 } ```` #### Example: race startlist ```json { "mode": "raceStartlist", "raceSlug": "tour-de-france", "raceYear": 2024, "maxItems": 200 } ``` #### Example: rider profile lookup ```json { "mode": "riderProfile", "riderSlugs": ["tadej-pogacar", "jonas-vingegaard", "remco-evenepoel"] } ``` #### Example: team roster ```json { "mode": "teamRoster", "teamSlugs": ["uae-team-emirates-2024"] } ``` #### Example: World Ranking, women elite ```json { "mode": "rankings", "rankingType": "world-ranking", "rankingCategory": "we", "maxItems": 100 } ``` ### Use cases - **Sports media** — build live leaderboards and rider profile pages from race results - **Fantasy cycling apps** — pull current rankings and rider specialty scores for team-building tools - **Sponsorship & talent scouting** — track rider career trajectories and team rosters season over season - **Sports betting analytics** — feed historical race results and rankings into prediction models - **Cycling journalism** — automate post-stage results tables and season recaps ### FAQ **What is the data source?** All data comes from the public pages of [ProCyclingStats.com](https://www.procyclingstats.com), the most comprehensive free professional road cycling statistics database. **Is this actor affiliated with ProCyclingStats?** No — this is an independent, third-party actor that reads publicly available pages. It is not affiliated with or endorsed by ProCyclingStats. **How do I find a race, rider, or team slug?** Visit the corresponding page on procyclingstats.com and copy the last part of the URL — e.g. `procyclingstats.com/rider/tadej-pogacar` → slug `tadej-pogacar`. Full URLs are also accepted directly in the `riderSlugs` / `teamSlugs` / `raceSlug` fields. **Why does `raceStage` vary by race?** Stage races (Grand Tours, week-long stage races) use `stage-1`, `stage-2`, … and `gc` for the general classification. One-day races (Classics, World Championships) use `result`. Some Grand Tours also have a `prologue`. **Why are some ranking rows missing a `team` field?** Team, nation, and race rankings only rank a single entity type and have no separate "current team" column, so `team` is omitted for those ranking types. **Why does `rankingType` only offer 2 categories (`me`/`we`) and why do some ranking types say "men only" / "women only"?** ProCyclingStats uses different, inconsistent internal ranking-type names for men's and women's cycling (e.g. men's `wins-individual` vs women's `individual-wins`), and for junior/national-team categories the site's ranking-type taxonomy could not be reliably verified. To guarantee correct data, only the men-elite and women-elite combinations that were confirmed to return real, category-matching results are exposed. If you pick a ranking type that doesn't apply to the selected category, the actor automatically falls back to `individual` for that category and logs the substitution — it will never silently return the wrong category's data. **How fresh is the data?** Every run fetches the live page directly from procyclingstats.com at request time — there is no caching. **Why does opening a `sourceUrl` sometimes look blocked to automated tools?** procyclingstats.com fronts its pages with bot-fingerprinting that can reject simplistic HTTP clients (e.g. a bare `curl` request). Every `sourceUrl` returned by this actor loads normally in a real web browser. **Why do some riders have no `age` or `specialtyPoints`?** Retired or lesser-known riders sometimes have incomplete profile pages on the source site; fields that aren't present are simply omitted rather than returned as null or zero. # Actor input Schema ## `mode` (type: `string`): What to fetch from ProCyclingStats. ## `raceSlug` (type: `string`): Race URL slug, e.g. `tour-de-france`, `milano-sanremo`, `giro-d-italia`. Find it in the race's ProCyclingStats URL. ## `raceYear` (type: `integer`): Season year of the race. ## `raceStage` (type: `string`): Which result page to scrape: `stage-1`, `stage-2`, ... for stage races, `prologue`, `gc` (general classification), or `result` for one-day races. ## `riderSlugs` (type: `array`): Rider URL slugs, e.g. `tadej-pogacar`, `jonas-vingegaard`. Full rider URLs are also accepted. ## `teamSlugs` (type: `array`): Team URL slugs including season year, e.g. `uae-team-emirates-2024`. Full team URLs are also accepted. ## `rankingType` (type: `string`): Which PCS/UCI ranking table to fetch. Available options depend on `rankingCategory` — an unsupported combination automatically falls back to `individual` (logged in the run). ## `rankingCategory` (type: `string`): Category group for the ranking table. Only men elite and women elite are exposed — PCS uses an inconsistent, largely unverifiable ranking-type taxonomy for junior and national-team categories. ## `maxItems` (type: `integer`): Maximum number of records to return. ## `proxyConfiguration` (type: `object`): ProCyclingStats blocks direct requests from Apify's datacenter IP ranges. The free Apify AUTO proxy group resolves this transparently — leave this on the default. ## Actor input object example ```json { "mode": "raceResults", "raceSlug": "tour-de-france", "raceYear": 2024, "raceStage": "stage-1", "riderSlugs": [ "tadej-pogacar" ], "teamSlugs": [ "uae-team-emirates-2024" ], "rankingType": "individual", "rankingCategory": "me", "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `records` (type: `string`): Dataset containing all scraped ProCyclingStats race results, riders, teams, and rankings. # 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 = { "mode": "raceResults", "raceSlug": "tour-de-france", "raceYear": 2024, "raceStage": "stage-1", "riderSlugs": [ "tadej-pogacar" ], "teamSlugs": [ "uae-team-emirates-2024" ], "rankingType": "individual", "rankingCategory": "me", "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/procyclingstats-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 = { "mode": "raceResults", "raceSlug": "tour-de-france", "raceYear": 2024, "raceStage": "stage-1", "riderSlugs": ["tadej-pogacar"], "teamSlugs": ["uae-team-emirates-2024"], "rankingType": "individual", "rankingCategory": "me", "maxItems": 30, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/procyclingstats-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 '{ "mode": "raceResults", "raceSlug": "tour-de-france", "raceYear": 2024, "raceStage": "stage-1", "riderSlugs": [ "tadej-pogacar" ], "teamSlugs": [ "uae-team-emirates-2024" ], "rankingType": "individual", "rankingCategory": "me", "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true } }' | apify call crawlerbros/procyclingstats-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/procyclingstats-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ProCyclingStats Scraper", "description": "Scrape ProCyclingStats.com - professional road cycling race results, rider profiles, team rosters, and PCS/UCI rankings. No login or API key required.", "version": "1.0", "x-build-id": "h5OV7D8kpShgILCCe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~procyclingstats-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-procyclingstats-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~procyclingstats-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-procyclingstats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~procyclingstats-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-procyclingstats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "raceResults", "riderProfile", "teamRoster", "rankings", "raceStartlist" ], "type": "string", "description": "What to fetch from ProCyclingStats.", "default": "raceResults" }, "raceSlug": { "title": "Race slug (mode=raceResults, raceStartlist)", "type": "string", "description": "Race URL slug, e.g. `tour-de-france`, `milano-sanremo`, `giro-d-italia`. Find it in the race's ProCyclingStats URL.", "default": "tour-de-france" }, "raceYear": { "title": "Race year (mode=raceResults, raceStartlist)", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Season year of the race.", "default": 2024 }, "raceStage": { "title": "Stage / result page (mode=raceResults)", "type": "string", "description": "Which result page to scrape: `stage-1`, `stage-2`, ... for stage races, `prologue`, `gc` (general classification), or `result` for one-day races.", "default": "stage-1" }, "riderSlugs": { "title": "Rider slugs (mode=riderProfile)", "type": "array", "description": "Rider URL slugs, e.g. `tadej-pogacar`, `jonas-vingegaard`. Full rider URLs are also accepted.", "items": { "type": "string" } }, "teamSlugs": { "title": "Team slugs (mode=teamRoster)", "type": "array", "description": "Team URL slugs including season year, e.g. `uae-team-emirates-2024`. Full team URLs are also accepted.", "items": { "type": "string" } }, "rankingType": { "title": "Ranking type (mode=rankings)", "enum": [ "individual", "teams", "nations", "races", "all-time", "season-individual", "season-teams", "season-nations", "distance", "racedays", "climbers", "hills", "gc-ranking", "one-day-races", "sprinters", "time-trial", "uci-individual-daily", "uci-teams", "u23", "u23-nations", "team-total", "wins-individual", "wins-individual-pro", "wins-teams", "wins-nations", "uci-individual", "uci-one-day-races", "uci-season-individual", "uci-nations-olympic-selection", "prologues", "individual-wins", "nation-wins", "promotion-relegation", "team-wins", "world-ranking", "wwt" ], "type": "string", "description": "Which PCS/UCI ranking table to fetch. Available options depend on `rankingCategory` — an unsupported combination automatically falls back to `individual` (logged in the run).", "default": "individual" }, "rankingCategory": { "title": "Rider/team category (mode=rankings)", "enum": [ "me", "we" ], "type": "string", "description": "Category group for the ranking table. Only men elite and women elite are exposed — PCS uses an inconsistent, largely unverifiable ranking-type taxonomy for junior and national-team categories.", "default": "me" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return.", "default": 30 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "ProCyclingStats blocks direct requests from Apify's datacenter IP ranges. The free Apify AUTO proxy group resolves this transparently — leave this on the default.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```