# Mararun China Marathon Event Platform Scraper (`jungle_synthesizer/mararun-china-marathon-event-platform-scraper`) Actor Scrapes the Mararun platform — the dominant Chinese marathon management SaaS. Returns event details for mararun-hosted Chinese marathons: name, date, city, registration windows, participant cap, organizer, and CAA/AIMS certification. - **URL**: https://apify.com/jungle\_synthesizer/mararun-china-marathon-event-platform-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Travel - **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 ## Mararun China Marathon Event Platform Scraper Scrapes the **Mararun platform** (`saas-user-gw.mararun.com`) — the dominant Chinese marathon management SaaS used by major CAA-labeled and regional road races across China. Returns structured event data for all event editions hosted on the platform: name (Chinese + English), race date, city, province, registration windows, participant cap, organizer, CAA label (gold/silver/bronze), and AIMS certification status. ### What it does Mararun hosts dedicated sub-platforms for each race organizer, keyed by a `hostKey` slug (e.g. `beijing-host`, `guangzhou-host`). The platform's gateway API at `saas-user-gw.mararun.com/v1/match/lists` is publicly accessible without authentication. This actor calls the API for each known organizer and normalises the response into a flat dataset. The actor ships with **13 verified hostKeys** covering the major CAA-labeled marathons and prominent regional events: | City | Event | Notes | |------|-------|-------| | Beijing | Beijing Marathon | Oldest on platform; multiple editions | | Guangzhou | Guangzhou Marathon | CAA Gold Label | | Wuhan | Wuhan Marathon | | | Nanjing | Nanjing Marathon | | | Tianjin | Tianjin Marathon | | | Kunming | Kunming Marathon | SCO-branded | | Nanchang | Nanchang Marathon | | | Xi'an | Xi'an City Wall Half Marathon | | | Nanning | Nanning Marathon | Southern China | | Haikou | Haikou Beach Marathon | | | Yangzhou | Yangzhou Half Marathon | Bank of China flagship half | | Xuzhou | Xuzhou Marathon | | | Huai'an | Huai'an Marathon | | ### Output schema Each record represents one **event edition** (a single race year/season): | Field | Type | Description | |-------|------|-------------| | `event_id` | string | Mararun internal match ID | | `event_subdomain` | string | Organizer hostKey (e.g. `beijing-host`) | | `event_name_zh` | string | Official event name in Chinese | | `event_name_en` | string | Official event name in English | | `event_date` | string | Race day (ISO-8601) | | `event_city` | string | Host city (Chinese) | | `event_province` | string | Host province / region | | `event_type` | string | `marathon`, `trail`, or `fun-run` | | `participant_cap` | integer | Maximum participant count | | `registration_fee_cny` | number | Base registration fee in CNY | | `registration_open_date` | string | Registration opening date (ISO-8601) | | `registration_close_date` | string | Registration close date (ISO-8601) | | `organizer` | string | Event organizer / host committee | | `caa_label` | string | CAA label: `gold`, `silver`, `bronze`, or empty | | `aims_certified` | boolean | Whether the course is AIMS-certified | | `is_active` | boolean | Whether the event is currently open/upcoming | | `results_count` | integer | Finisher results hosted on the platform | | `event_url` | string | Event registration page URL | | `history_count` | integer | Number of past editions for this event series | | `mkey` | string | Mararun edition key (e.g. `beijing-2024`) | | `scrapedAt` | string | ISO-8601 scrape timestamp | ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of event editions to return (across all organizers). Leave blank for all. | ### Usage notes - **No proxy required** — the `saas-user-gw.mararun.com` API is fully open (no auth, no Cloudflare). - **Discovery limitation** — the platform's global organizer catalog (`cloud-gateway.mararun.com`) requires OAuth. New events on the platform must be added to the `KNOWN_HOST_KEYS` list in the actor source. - **`distances_offered`** — the list endpoint does not expose individual distance categories; fetching per-edition detail pages would require an additional API call per event. This field is left empty in the current version. - **`total: 5000`** — Mararun's API uses `5000` as a sentinel value for "many results". The actor uses `pageSize=200`, which covers all known event histories in a single call. # 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 event editions to return (across all organizers). Leave blank for all. ## 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 } ```` # 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 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/mararun-china-marathon-event-platform-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, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/mararun-china-marathon-event-platform-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 }' | apify call jungle_synthesizer/mararun-china-marathon-event-platform-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/mararun-china-marathon-event-platform-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mararun China Marathon Event Platform Scraper", "description": "Scrapes the Mararun platform — the dominant Chinese marathon management SaaS. Returns event details for mararun-hosted Chinese marathons: name, date, city, registration windows, participant cap, organizer, and CAA/AIMS certification.", "version": "0.1", "x-build-id": "3WhkbtQRFXv4HhtZ0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~mararun-china-marathon-event-platform-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-mararun-china-marathon-event-platform-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~mararun-china-marathon-event-platform-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-mararun-china-marathon-event-platform-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~mararun-china-marathon-event-platform-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-mararun-china-marathon-event-platform-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 event editions to return (across all organizers). Leave blank for all." } } }, "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 } } } } } } } } } } ```