# High School Coaches Email Scraper (`contacts-api/high-school-coaches-email-scraper`) Actor High school coaches email scraper to extract verified coach emails from schools, athletic programs, and sports directories πŸ“§πŸˆ Perfect for recruitment, sports outreach, and building targeted high school athletics contact lists. Fast, accurate, and scalable. - **URL**: https://apify.com/contacts-api/high-school-coaches-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results 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 ### 🏈 High School Coaches Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted high school coaches list. This actor searches Google Maps for high school athletic programs and coaching staffs across any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” all in one clean, export-ready dataset powered by a precise high school coaches email extractor. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "High School Coaches", "athletic director", "football coach" 2. Add one or more target locations β€” e.g., "New York", "Dallas, Texas" 3. Set your desired number of programs with emails 4. Hit Run and let the high school coaches email scraper deliver results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is the High School Coaches Email Scraper? The High School Coaches Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Athletic recruitment teams and scouting organizations - Sports equipment and apparel vendors - Youth camp organizers and tournament directors - Athletic departments, boosters, and alumni outreach - EdTech, sports-tech, and SaaS providers selling to K–12 athletics It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated high school coaches list ready for immediate use. Whether you need a high school coaches contact scraper for mass discovery, a high school coaches lead finder for targeted outreach, or a high school coaches lead scraper for scaling acquisition β€” this actor covers it all. It also works as a high school coaches contact finder and high school coaches email finder when you need precise inboxes for staff and program contacts. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | School, district, or athletic program name from Google Maps | | Website | Official website or athletics portal URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public high school coaches email addresses discovered on the domain | | Additional Phones | Extra phone numbers discovered during crawl (athletics office, departments) | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, and more | | Email Count | Total unique emails found per school/program | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": [ "New York", "Los Angeles, California", "Dallas, Texas" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "High School Coaches", "athletic director", "track coach" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Dallas, Texas"] | | `maxBusinesses` | Number | βœ… Yes | Max schools/programs with emails to return (1–1,000) | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location; if false, it’s a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs | *** #### πŸ“€ Sample Output ```json [ { "name": "Roosevelt High School Athletics", "website": "https://www.rooseveltathletics.org", "phone": "+1 212-555-0145", "full_address": "1010 Madison Ave, New York, NY 10028, United States", "city": "New York", "state": "NY", "zip": "10028", "country_code": "US", "scraped_emails": [ "athletics@rooseveltathletics.org", "coach.smith@rooseveltathletics.org" ], "scraped_phones": ["+1 212-555-0145", "+1 212-555-0190"], "scraped_social_media": [ "twitter:https://twitter.com/RooseveltSports", "facebook:https://facebook.com/RooseveltAthletics" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.5, "total_reviews": 73, "lat": 40.7797, "long": -73.9634, "place_id": "ChIJ1-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Search Google Maps using your term + location (e.g., "High School Coaches", "athletic department") Step 2 β†’ Collect school listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Athletics, Staff Directory, Contact, About) Step 4 β†’ Extract public emails, phone numbers, and social links across athletics subpages Step 5 β†’ Deduplicate and normalize contact data (coach inboxes, office emails) Step 6 β†’ Return structured results ready for export or API consumption ``` The high school coaches email scraper doubles as a high school coaches lead finder and a high school coaches lead scraper in one automated pipeline β€” ideal for assembling verified outreach targets quickly. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint schools and programs in any city, state, or region β€” delivering hyper-local high school coaches leads for your campaigns. ##### πŸ” Deep Athletics Directory Crawl Goes beyond the listing. Crawls athletics portals, staff directories, and contact pages to surface every available public high school coaches email and phone number. ##### 🧠 Smart Extraction & De-Duplication Purpose-built high school coaches email extractor logic pulls and normalizes contact formats (coach@school.org, firstname.lastname@district.edu) and removes duplicates per domain automatically. ##### 🧭 Multi-Keyword Flexibility Use niche queries like "athletic director", "football coach", "basketball coach", or "track and field coach" to widen your reach with the high school coaches contact scraper. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap β€” perfect for building a large, multi-market high school coaches list. ##### βš™οΈ Lead Discovery Engine Designed as a high school coaches lead finder and high school coaches email finder to surface both general athletics inboxes and individual coach addresses where available. ##### πŸš€ Performance & Scale Proxy-ready for reliability at volume. This high school coaches data scraper handles large batches with minimal rate-limiting when proxies are enabled. ##### πŸ“Š CRM-Ready Output Results are normalized with consistent fields. Drop them into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool without reformatting. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Run it daily, weekly, or monthly to continuously grow and refresh your high school coaches leads. *** #### 🎯 Use Cases - B2B Sales & Partnerships\ Build pitch lists for equipment suppliers, software vendors, and recruiting services. Fuel outbound with qualified high school coaches leads. - Camps, Clinics, and Tournaments\ Promote events to ADs and coaches using contacts assembled by a high school coaches contact finder. - Recruiting & Scouting Outreach\ Identify coaches by program and region. Use the high school coaches lead scraper to scale targeted communications. - Community & Alumni Engagement\ Create region-specific lists for booster clubs and alumni coordinators to connect with athletics programs. - Market Research & Benchmarking\ Collect structured contacts across districts to analyze program coverage and communication patterns via a high school coaches data scraper. - CRM Enrichment\ Fill gaps in your existing school records with verified staff contacts using a high school coaches email finder. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a massive regional database β€” results depend on: - Number of locations added - Search term breadth (narrow vs. broad sports) - Website directory depth and email visibility in each district - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical Output Ranges - Small (1–3 cities): 20–100 programs with contacts - Medium (5–15 cities): 200–600 programs with contacts - Large (20+ cities/states): 800–1,000+ per run Run multiple times across different regions to continuously grow your high school coaches list and keep high school coaches leads fresh. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON: Full structured data download - CSV / Excel: Import directly into spreadsheets - Apify API: Stream results into your own apps or workflows - Zapier / Make: Trigger automations when new contacts are found - Webhooks: Push results to your CRM on run completion Plug into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports. *** #### πŸ› οΈ Step-by-Step Usage Guide Step 1 β€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 β€” Open the Actor\ Search for "High School Coaches Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "High School Coaches" or niche variants like "athletic director", "football coach", "basketball coach". Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Dallas, Texas". Step 5 β€” Set Your Limit\ Choose how many schools/programs with emails you want β€” 20 for a quick test, up to 1,000 for a full campaign. Step 6 β€” Choose Scaling Strategy - Combined cap: The total across all locations combined - Per-location cap: Applies your limit independently to each city Step 7 β€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 β€” Run πŸš€\ Start the run and let the high school coaches email scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” emails and phone numbers published openly on school or district websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: - GDPR β€” European Union - CAN-SPAM Act β€” United States - CASL β€” Canada - PECR β€” United Kingdom This tool is intended for ethical business prospecting only. You are responsible for how you use data collected by a high school coaches data scraper. *** #### ❓ Frequently Asked Questions Q: Does this collect private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on school or district websites β€” athletics inboxes, department contacts, and general inquiry addresses. It focuses on high school coaches email data published for outreach. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed and use per-location capping for even geographic distribution of high school coaches leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your lists accurate and reduce bounce rates. Q: Can I target specific sports?\ A: Absolutely. Use search terms like "football coach", "basketball coach", "track coach", or "athletic director" for sport-specific discovery with the high school coaches contact scraper. Q: Is this an email finder or an email extractor?\ A: It does both. The workflow serves as a high school coaches email finder for precise inboxes and a high school coaches email extractor for broad discovery across athletics portals. Q: Do I need to use proxies?\ A: Proxies aren’t required for small runs but are strongly recommended for 200+ schools to avoid rate limits. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This automated high school coaches lead scraper combines Google Maps discovery with deep crawl extraction to deliver structured contacts in minutes. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/high-school-coaches-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/high-school-coaches-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "High School Coaches", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/high-school-coaches-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/high-school-coaches-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "High School Coaches Email Scraper", "description": "High school coaches email scraper to extract verified coach emails from schools, athletic programs, and sports directories πŸ“§πŸˆ Perfect for recruitment, sports outreach, and building targeted high school athletics contact lists. Fast, accurate, and scalable.", "version": "1.0", "x-build-id": "wwISl3uWyNJx8h12k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~high-school-coaches-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-high-school-coaches-email-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/contacts-api~high-school-coaches-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-high-school-coaches-email-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/contacts-api~high-school-coaches-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-high-school-coaches-email-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": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "High School Coaches" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "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 } } } } } } } } } } ```