# ACE Fitness — Find ACE Pro Trainer Scraper (`jungle_synthesizer/acefitness-find-ace-pro-trainer-scraper`) Actor Scrapes ACE-certified personal trainer and health coach profiles from the ACE Fitness "Find an ACE Pro" directory. - **URL**: https://apify.com/jungle\_synthesizer/acefitness-find-ace-pro-trainer-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 33.3% 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. 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 ## ACE Fitness — Find ACE Pro Trainer Scraper Scrapes ACE-certified personal trainer and health coach profiles from the ACE Fitness "Find an ACE Pro" directory. Returns structured data for each certified professional including name, location, certifications, specialties, bio, contact details, and years of experience. ### What it does ACE Fitness maintains a public directory of certified professionals searchable by ZIP code and radius. This actor uses ACE's internal search API to discover trainer profiles within specified ZIP codes, then scrapes each profile page to collect the full set of structured data. **Two-phase approach:** 1. **Discovery** — Calls the WCF JSON API (`/webservices/FindACEPro.svc/GetACEPros`) for each ZIP code to retrieve trainer stubs (name, city, state, profile URL). 2. **Profile scraping** — Fetches each individual profile page to extract certifications, specialties, bio, phone, website, years of experience, and profile photo. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | Integer | 10 | Maximum number of trainer profiles to scrape | | `zipCodes` | Array of strings | [] | US ZIP codes to search around. Leave empty to use the built-in set of 48 US metro ZIP codes | | `searchRadius` | Integer | 50 | Radius in miles around each ZIP code | **Example input:** ```json { "maxItems": 100, "zipCodes": ["10001", "90210", "60601"], "searchRadius": 50 } ```` ### Output Each record represents one ACE-certified professional: | Field | Type | Description | |-------|------|-------------| | `pro_name` | String | Full name | | `city` | String | City | | `state` | String | State abbreviation (e.g. "CA") | | `country` | String | Country code (e.g. "US") | | `phone` | String | Contact phone if listed | | `website` | String | Personal/business website if listed | | `bio` | String | Professional bio/about text | | `certifications` | String | ACE certifications held | | `specialties` | String | Areas of specialty (pipe-separated) | | `years_as_ace_pro` | String | Number of years certified as ACE professional | | `years_in_industry` | String | Years of fitness industry experience (range, e.g. "6-10 years") | | `profile_url` | String | URL of the ACE Fitness profile page | | `profile_image_url` | String | URL of the profile photo | **Example record:** ```json { "pro_name": "Victoria Tate", "city": "DOWNERS GROVE", "state": "IL", "country": "US", "phone": null, "website": null, "bio": null, "certifications": "ACE Certified Group Fitness Instructor, ACE Certified Personal Trainer, ACE Certified Health Coach", "specialties": "Active Aging | Group Fitness | Indoor Cycling | Strength Training | Yoga | Women's Health", "years_as_ace_pro": "21", "years_in_industry": "6-10 years", "profile_url": "https://www.acefitness.org/resources/everyone/find-ace-pro/dxw87yv/victoria-tate/", "profile_image_url": "https://acefitnessmediastorage.blob.core.windows.net/acepublicfiles/fcff944f-7c91-40c6-90da-7c02251dd009.jpg" } ``` ### Coverage Without custom ZIP codes, the actor defaults to a set of 48 major US metro ZIP codes covering NYC, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Jose, Austin, Sacramento, Seattle, Denver, Atlanta, Boston, Baltimore, Charlotte, Jacksonville, Nashville, Birmingham, Minneapolis, Oklahoma City, and Indianapolis. Results are deduplicated — a trainer appearing in multiple ZIP code searches is only scraped once. ### Notes - No login or API key required - Requires no proxy (ACE Fitness does not block scraping) - Profile pages are Cheerio-scraped (no JavaScript rendering needed) - The internal ACE search API does not support pagination beyond what is returned — for maximum coverage, use many ZIP codes with moderate radius values # 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 trainer profiles to scrape. Default is 10. ## `zipCodes` (type: `array`): List of US ZIP codes to search around. Defaults to a broad set of US metro ZIP codes if left empty. ## `searchRadius` (type: `integer`): Radius in miles around each ZIP code to search for trainers. Default is 50. ## 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, "zipCodes": [ "10001", "90001", "60601" ], "searchRadius": 50 } ``` # 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, "zipCodes": [ "10001", "90001", "60601" ], "searchRadius": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/acefitness-find-ace-pro-trainer-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, "zipCodes": [ "10001", "90001", "60601", ], "searchRadius": 50, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/acefitness-find-ace-pro-trainer-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, "zipCodes": [ "10001", "90001", "60601" ], "searchRadius": 50 }' | apify call jungle_synthesizer/acefitness-find-ace-pro-trainer-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/acefitness-find-ace-pro-trainer-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ACE Fitness — Find ACE Pro Trainer Scraper", "description": "Scrapes ACE-certified personal trainer and health coach profiles from the ACE Fitness \"Find an ACE Pro\" directory.", "version": "0.1", "x-build-id": "zKTb29BuUt45gfwEL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~acefitness-find-ace-pro-trainer-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-acefitness-find-ace-pro-trainer-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~acefitness-find-ace-pro-trainer-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-acefitness-find-ace-pro-trainer-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~acefitness-find-ace-pro-trainer-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-acefitness-find-ace-pro-trainer-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 trainer profiles to scrape. Default is 10.", "default": 10 }, "zipCodes": { "title": "ZIP Codes", "type": "array", "description": "List of US ZIP codes to search around. Defaults to a broad set of US metro ZIP codes if left empty.", "default": [], "items": { "type": "string" } }, "searchRadius": { "title": "Search Radius (miles)", "type": "integer", "description": "Radius in miles around each ZIP code to search for trainers. Default is 50.", "default": 50 } } }, "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 } } } } } } } } } } ```