# 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:** 10 total users, 1 monthly users, 100.0% runs succeeded, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 — 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 · 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 — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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(`💾 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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("💾 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 '{
  "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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2ygvWuhgqpLRQdi2z/builds/4xka7b5cyAdkQoDvc/openapi.json