# MarathonGuide Road Race Results Scraper (`jungle_synthesizer/marathonguide-road-race-results-scraper`) Actor Extract finisher results from MarathonGuide — the largest US road-race results database covering thousands of marathons and road races since the 1990s. Search by race name or year to retrieve finish times, placements, age-group rankings, and runner details. - **URL**: https://apify.com/jungle\_synthesizer/marathonguide-road-race-results-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Education - **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 ## MarathonGuide Road Race Results Scraper Extract finisher results from [MarathonGuide.com](https://www.marathonguide.com) — the largest US road-race results database, covering thousands of marathons and road races since the 1990s. Search by race name or supply a direct results URL to retrieve finish times, placements, age-group rankings, and runner details. Data is sourced directly from the `back.runzy.com` JSON API that powers the MarathonGuide frontend, giving you clean structured records without browser automation. --- ### What You Get Each output record represents one finisher at one race: | Field | Description | |-------|-------------| | `race_name` | Full race name (e.g. "Boston Marathon") | | `race_slug` | URL slug identifier (e.g. "boston-marathon") | | `race_year` | Year of the race | | `race_date` | Race date (YYYY-MM-DD) | | `race_location` | City, state, country | | `race_city` / `race_state` / `race_country` | Race location components | | `distance` | Distance label (e.g. "Marathon", "Half Marathon") | | `overall_place` | Overall finish position | | `gender_place` | Position within the runner's gender | | `division_place` | Position within the runner's age group | | `age_group` | Age group label (e.g. "M40-44", "F30-34") | | `runner_name` | Runner's full name | | `gender` | Runner's gender (M or F) | | `age` | Runner's age at time of race | | `finish_time` | Official finish time (chip time preferred) | | `chip_time` | Net/chip finish time | | `bib_number` | Bib number | | `city` / `state` / `country` | Runner's home location | --- ### Input Options #### Search by race name ```json { "raceSearch": "Boston Marathon", "year": 2024, "gender": "all", "maxItems": 100 } ```` - **`raceSearch`** — Search term matched against race names (partial matches work: "Chicago", "New York City Marathon") - **`year`** — Optional year filter. Omit to return results across all available years for matching races - **`gender`** — Filter by gender: `all` (default), `M`, or `F` - **`maxItems`** — Maximum total finisher records to return #### Direct race URL ```json { "raceUrl": "https://www.marathonguide.com/races/run/boston-marathon/2024/results/", "maxItems": 500 } ``` Supply a full MarathonGuide results page URL. The actor extracts the race slug and year from the URL and fetches the finisher list directly, bypassing the search phase. *** ### How It Works The actor uses a two-phase approach: 1. **Race discovery** — Searches the MarathonGuide API for races matching your query, filtering by year if specified. Returns a list of matching race occurrences with their slugs and years. 2. **Finisher pagination** — For each discovered race, paginates through finisher results (up to 100 per API call) until `maxItems` is reached or all finishers are collected. Both phases hit the `back.runzy.com` JSON REST API. No browser automation is required — the API is open and returns clean structured data. *** ### Examples **Top 50 finishers at Boston Marathon 2024:** ```json { "raceSearch": "Boston Marathon", "year": 2024, "maxItems": 50 } ``` **Female finishers at Chicago Marathon 2023:** ```json { "raceSearch": "Chicago Marathon", "year": 2023, "gender": "F", "maxItems": 200 } ``` **All finishers for a specific race via URL:** ```json { "raceUrl": "https://www.marathonguide.com/races/run/new-york-city-marathon/2023/results/", "maxItems": 50000 } ``` *** ### Notes - Results are ordered by overall place (fastest finisher first) - The MarathonGuide database covers thousands of US road races from the 1990s to present. Not all races have complete finisher data — some older events may have partial records - When `raceSearch` matches multiple races or multiple years, results are concatenated across all matches until `maxItems` is reached - Large races (Boston, Chicago, New York) have 20,000–50,000+ finishers; set `maxItems` accordingly and expect proportionally longer run times # 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. ## `raceSearch` (type: `string`): Search races by name (e.g. "Boston Marathon", "Chicago", "New York City Marathon"). Returns all matching races and their finisher results. At least one of raceSearch or raceUrl must be provided. ## `raceUrl` (type: `string`): Direct URL to a specific race results page on MarathonGuide.com, e.g. https://www.marathonguide.com/races/run/boston-marathon/2024/results/. Overrides raceSearch when provided. ## `year` (type: `integer`): Limit results to a specific year (e.g. 2024). Leave blank to return results for all available years matching the search. ## `gender` (type: `string`): Filter finishers by gender — 'all', 'M', or 'F'. ## `maxItems` (type: `integer`): Maximum number of finisher records to return across all matching races. ## 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...", "raceSearch": "Boston Marathon", "gender": "all", "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...", "raceSearch": "Boston Marathon", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/marathonguide-road-race-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...", "raceSearch": "Boston Marathon", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/marathonguide-road-race-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...", "raceSearch": "Boston Marathon", "maxItems": 10 }' | apify call jungle_synthesizer/marathonguide-road-race-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/marathonguide-road-race-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MarathonGuide Road Race Results Scraper", "description": "Extract finisher results from MarathonGuide — the largest US road-race results database covering thousands of marathons and road races since the 1990s. Search by race name or year to retrieve finish times, placements, age-group rankings, and runner details.", "version": "0.1", "x-build-id": "xFidT4VAsc0ImX3rv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~marathonguide-road-race-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-marathonguide-road-race-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~marathonguide-road-race-results-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-marathonguide-road-race-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~marathonguide-road-race-results-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-marathonguide-road-race-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": [ "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." }, "raceSearch": { "title": "Race Search Query", "type": "string", "description": "Search races by name (e.g. \"Boston Marathon\", \"Chicago\", \"New York City Marathon\"). Returns all matching races and their finisher results. At least one of raceSearch or raceUrl must be provided." }, "raceUrl": { "title": "Race Results URL", "type": "string", "description": "Direct URL to a specific race results page on MarathonGuide.com, e.g. https://www.marathonguide.com/races/run/boston-marathon/2024/results/. Overrides raceSearch when provided." }, "year": { "title": "Year Filter", "type": "integer", "description": "Limit results to a specific year (e.g. 2024). Leave blank to return results for all available years matching the search." }, "gender": { "title": "Gender Filter", "enum": [ "all", "M", "F" ], "type": "string", "description": "Filter finishers by gender — 'all', 'M', or 'F'.", "default": "all" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of finisher records to return across all matching races." } } }, "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 } } } } } } } } } } ```