# Gym Scraper - Google Maps Fitness Studios, CrossFit & Yoga (`gio21/gym-scraper`) Actor Scrape gyms and fitness studios from Google Maps. Get name, address, phone, website, rating, type (CrossFit, yoga, boxing, pilates), amenities, hours. - **URL**: https://apify.com/gio21/gym-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 gym scrapeds 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 ## Gym Scraper - Google Maps Fitness Studios, CrossFit & Yoga Scrape **gyms** from Google Maps by location, niche, and search terms. For: fitness equipment sales, supplement DTC, gym management software, fitness app onboarding, personal trainer lead gen. ### Why this scraper - Pure HTTP โ€” no Playwright, no browser, no API key from your side - Up to ~20 places per page, paginated - Returns full attributes (services, payments, accessibility, parking) - Geolocates by country code ### Input | Field | Type | Description | |-------|------|-------------| | `searchTerm` | String | What to search. Default: `gyms`. Override for niches: `crossfit gyms`. | | `location` | String | City, state, ZIP, or neighborhood. Example: `Brooklyn, NY`. | | `queries` | Array | (Advanced) Full pre-built Google Maps queries. Overrides searchTerm/location. | | `maxPages` | Integer | Pagination depth (default 3 = ~60 places). | | `country` | String | Two-letter country code: `us`, `br`, `uk`, `ca`. | | `language` | String | Two-letter language code: `en`, `pt`, `es`. | | `maxRetries` | Integer | Retries on upstream block. Default 3. | ### Output ```json { "rank": 1, "name": "Example Gym Name", "address": "100 Main St, City, ST 10000, United States", "phone": "+15551230000", "website": "example.com", "websiteLink": "https://example.com", "rating": 4.8, "reviewsCount": 250, "latitude": 40.7, "longitude": -74.0, "categories": ["Gym", "Sample category"], "primaryCategory": "Gym", "claimed": true, "workStatus": "Open ยท Closes 9 PM", "placeId": "ChIJexample", "mapsUrl": "https://www.google.com/maps/place/...", "imageUrl": "https://lh3.googleusercontent.com/...", "attributes": { "Service options": ["On-site services"], "Accessibility": ["Wheelchair-accessible entrance"], "Payments": ["Credit cards", "NFC mobile payments"] }, "query": "crossfit gyms in Brooklyn, NY", "niche": "gym" } ```` ### Pricing $0.005 per place. Pay-per-result โ€” you only pay for actual gyms returned. ### Limitations - Google Maps returns ~20 places per page. Some niches with very narrow keywords return less. - Place data reflects what Google has indexed; recently-opened gyms may not appear. - Email is not returned (Google Maps does not expose business email). Use a website-emails scraper as a second step. ### SEO keywords gym scraper, fitness studio leads, gym directory, fitness marketing. If this actor helped you, please leave a review on the Apify Store. # Actor input Schema ## `searchTerm` (type: `string`): What to search for. Default: "gyms". Examples for gyms: "crossfit gyms", "gyms accepting new patients". ## `location` (type: `string`): City, state, ZIP code, or neighborhood. Examples: "New York, NY", "90210", "Brooklyn". ## `queries` (type: `array`): Override searchTerm/location with full Google Maps queries. Each item is a complete search like "best italian restaurants in Brooklyn". ## `maxPages` (type: `integer`): Google Maps SERP returns ~20 unique places per query and stops paginating after that. To get MORE results, use multiple narrower queries (e.g. per ZIP/neighborhood) via the queries\[] field. Default 2. ## `country` (type: `string`): Two-letter country code: us, br, uk, ca, au, mx, in, de, fr, etc. ## `language` (type: `string`): Two-letter language code: en, pt, es, fr, de, etc. ## `maxRetries` (type: `integer`): Retry attempts per request if upstream blocks. Default 3, max 6. ## Actor input object example ```json { "searchTerm": "crossfit gyms", "location": "Brooklyn, NY", "maxPages": 2, "country": "us", "language": "en", "maxRetries": 3 } ``` # Actor output Schema ## `results` (type: `string`): Each row: rank, name, address, phone, website, rating, reviewsCount, categories, primaryCategory, claimed, workStatus, latitude, longitude, placeId, fid, mapsUrl, imageUrl, thumbnailUrl, attributes, query, niche. # 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 = { "searchTerm": "crossfit gyms", "location": "Brooklyn, NY" }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/gym-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchTerm": "crossfit gyms", "location": "Brooklyn, NY", } # Run the Actor and wait for it to finish run = client.actor("gio21/gym-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerm": "crossfit gyms", "location": "Brooklyn, NY" }' | apify call gio21/gym-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/gym-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gym Scraper - Google Maps Fitness Studios, CrossFit & Yoga", "description": "Scrape gyms and fitness studios from Google Maps. Get name, address, phone, website, rating, type (CrossFit, yoga, boxing, pilates), amenities, hours.", "version": "0.0", "x-build-id": "2yGZsmeMgnhJorxaQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~gym-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-gym-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/gio21~gym-scraper/runs": { "post": { "operationId": "runs-sync-gio21-gym-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/gio21~gym-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-gym-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": { "searchTerm": { "title": "Search term", "type": "string", "description": "What to search for. Default: \"gyms\". Examples for gyms: \"crossfit gyms\", \"gyms accepting new patients\"." }, "location": { "title": "Location", "type": "string", "description": "City, state, ZIP code, or neighborhood. Examples: \"New York, NY\", \"90210\", \"Brooklyn\"." }, "queries": { "title": "Custom queries (advanced)", "uniqueItems": true, "type": "array", "description": "Override searchTerm/location with full Google Maps queries. Each item is a complete search like \"best italian restaurants in Brooklyn\".", "items": { "type": "string" } }, "maxPages": { "title": "Max pages per query (advanced)", "minimum": 1, "maximum": 5, "type": "integer", "description": "Google Maps SERP returns ~20 unique places per query and stops paginating after that. To get MORE results, use multiple narrower queries (e.g. per ZIP/neighborhood) via the queries[] field. Default 2.", "default": 2 }, "country": { "title": "Country (Google Maps gl param)", "type": "string", "description": "Two-letter country code: us, br, uk, ca, au, mx, in, de, fr, etc.", "default": "us" }, "language": { "title": "Language (Google Maps hl param)", "type": "string", "description": "Two-letter language code: en, pt, es, fr, de, etc.", "default": "en" }, "maxRetries": { "title": "Max retries on block", "minimum": 1, "maximum": 6, "type": "integer", "description": "Retry attempts per request if upstream blocks. Default 3, max 6.", "default": 3 } } }, "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 } } } } } } } } } } ```