# College Athlete Recruiting Profiles Scraper — On3 & Rivals (`jungle_synthesizer/college-athletes-on3-247-rivals-scraper`) Actor Scrape 80,000+ college football and multi-sport recruiting profiles from On3.com (the platform that acquired Rivals in 2023). Extracts star ratings, national/position/state rankings, commitment data, transfer portal status, physical measurements, and social handles across class years 2016-2034. - **URL**: https://apify.com/jungle\_synthesizer/college-athletes-on3-247-rivals-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Lead generation, Business - **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 ## College Athletes On3 & 247 Sports Scraper Scrape college football and basketball recruit profiles from [On3.com](https://www.on3.com/) — the platform that now hosts both On3 and Rivals recruiting data after their 2023 merger. Extracts rankings (national, position, and state), star ratings, NIL valuations, transfer portal status, social handles, and recruiting data for athletes across all class years. ### What You Get Each record includes: | Field | Description | |-------|-------------| | `name` | Athlete full name | | `sport` | Sport (Football, Basketball, etc.) | | `position` | Position abbreviation and full name | | `class_year` | Recruiting class year (HS graduation year) | | `height` / `weight` | Physical measurements | | `high_school` | High school name | | `hs_city` / `hs_state` | Hometown location | | `college` | Committed college (if committed) | | `commitment_date` | Date of commitment | | `transfer_status` | Transfer portal status | | `star_rating` | On3 star rating (2-5 stars) | | `rating` | Numeric rating score (0-100) | | `ranking_national` | National overall rank in class | | `ranking_position` | Position rank in class | | `ranking_state` | State rank in class | | `nil_status` | NIL valuation status | | `nil_valuation` | NIL market value in USD (public profiles only) | | `twitter_handle` | Twitter/X handle (when public) | | `instagram_handle` | Instagram handle (when public) | | `tiktok_handle` | TikTok handle (when public) | | `profile_url` | Direct URL to athlete profile on On3 | ### Use Cases - **NIL agencies and sports agents** — Find ranked recruits by position, state, and class year - **College recruiting services** — Build pipeline of prospects with ranking and commitment data - **Athletic brand sponsors** — Identify athletes by NIL rank and social following - **Fantasy / DFS platforms** — Enrich player databases with recruiting pedigree - **Sports journalism** — Track transfer portal activity and commitment trends ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `sport` | string | `football` | Sport to scrape. Options: football, basketball, womens-basketball, baseball, softball, volleyball | | `classYear` | integer | 0 | Recruiting class year filter. Set to 0 to scrape all available years. | | `maxItems` | integer | 0 | Maximum number of profiles to return. Set to 0 for no limit. | ### Example Output ```json { "athlete_id": 156049, "platform": "on3", "slug": "kody-strayhorn-156049", "profile_url": "https://www.on3.com/rivals/kody-strayhorn-156049/", "name": "Kody Strayhorn", "sport": "Football", "position": "IOL", "position_full": "Interior Offensive Lineman", "class_year": 2028, "class_rank": "Senior", "height": "6-3", "weight": 295, "high_school": "Lebanon", "hs_state": "MI", "star_rating": 3, "rating": 87, "ranking_national": 524, "ranking_position": 30, "ranking_state": 76, "nil_status": "Private", "nil_valuation": null, "twitter_handle": "kodystrayhorn", "organization_level": "HighSchool", "athlete_verified": true } ```` ### Data Scale - Football: 80,000+ athletes across class years 2016-2034 - Basketball: 15,000+ athletes - Use `classYear` to narrow to a specific graduating class - Sitemaps update daily ### Notes - NIL valuations are only public for high-profile athletes; most show `nil_status: "Private"` - Rivals.com data is fully integrated — On3 acquired Rivals in 2023; all profiles at `on3.com/rivals/*` - Social handles are only returned when made public on the athlete's profile # 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. ## `sport` (type: `string`): Sport to scrape. Determines which sitemap sub-file is used. ## `classYear` (type: `integer`): Recruiting class year (graduation year). Defaults to the next 2 years if empty. ## `maxItems` (type: `integer`): Maximum number of athlete profiles to scrape. Set to 0 for 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...", "sport": "football", "classYear": 2026, "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...", "sport": "football", "classYear": 2026, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/college-athletes-on3-247-rivals-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...", "sport": "football", "classYear": 2026, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/college-athletes-on3-247-rivals-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...", "sport": "football", "classYear": 2026, "maxItems": 10 }' | apify call jungle_synthesizer/college-athletes-on3-247-rivals-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/college-athletes-on3-247-rivals-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "College Athlete Recruiting Profiles Scraper — On3 & Rivals", "description": "Scrape 80,000+ college football and multi-sport recruiting profiles from On3.com (the platform that acquired Rivals in 2023). Extracts star ratings, national/position/state rankings, commitment data, transfer portal status, physical measurements, and social handles across class years 2016-2034.", "version": "0.1", "x-build-id": "Dqs50Y6pN12FsINt7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~college-athletes-on3-247-rivals-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-college-athletes-on3-247-rivals-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~college-athletes-on3-247-rivals-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-college-athletes-on3-247-rivals-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~college-athletes-on3-247-rivals-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-college-athletes-on3-247-rivals-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." }, "sport": { "title": "Sport", "enum": [ "football", "basketball", "womens-basketball", "baseball", "softball", "volleyball" ], "type": "string", "description": "Sport to scrape. Determines which sitemap sub-file is used.", "default": "football" }, "classYear": { "title": "Class Year", "type": "integer", "description": "Recruiting class year (graduation year). Defaults to the next 2 years if empty.", "default": 0 }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of athlete profiles to scrape. Set to 0 for no limit.", "default": 0 } } }, "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 } } } } } } } } } } ```