# Google Maps Scraper (`nosytlabs/google-maps-scraper`) Actor

Extract data from Google Maps places including business details, reviews, contact info, emails, photos, and ratings. Supports search by query, category, location, and filters. Export to JSON, CSV, Excel.

- **URL**: https://apify.com/nosytlabs/google-maps-scraper.md
- **Developed by:** [Nosyt Labs](https://apify.com/nosytlabs) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Google Maps Scraper

Extract comprehensive business data from Google Maps — names, addresses, phone numbers, websites, ratings, reviews, hours, and coordinates.

### Features

- **Business data** — Name, address, phone, website, hours, categories
- **Reviews** — Full review text, ratings, dates, photos
- **Contact extraction** — Emails and social links from websites
- **Coordinates** — Latitude/longitude for mapping
- **Search flexibility** — By query, category, or location
- **Proxy support** — Built-in Apify residential proxy rotation

### Use Cases

- Lead generation for local businesses
- Market research and competitor analysis
- Business directory building
- SEO local search analysis

### Output

Dataset with fields: `name`, `address`, `phone`, `website`, `rating`, `reviewsCount`, `category`, `location`, `hours`, `placeId`.

### Important

This scraper requires residential proxies for reliable results. Use Apify's RESIDENTIAL proxy group for best performance.

# Actor input Schema

## `searchQueries` (type: `array`):

Search queries to find places (e.g., 'restaurants in San Francisco', 'dentists near me')

## `categories` (type: `array`):

Google Maps place categories to filter by

## `location` (type: `string`):

Geographic location for search (city, address, or 'near me')

## `maxResults` (type: `integer`):

Maximum number of places to scrape per search query

## `includeReviews` (type: `boolean`):

Scrape reviews for each place (slower, uses more compute)

## `maxReviewsPerPlace` (type: `integer`):

Maximum reviews to fetch per place

## `includeContactDetails` (type: `boolean`):

Try to extract phone, website, and email from place website

## `includePhotos` (type: `boolean`):

Scrape photo URLs from place

## `language` (type: `string`):

Language for results (ISO code)

## `region` (type: `string`):

Region bias for search (e.g., 'us', 'uk', 'ca')

## `proxyConfiguration` (type: `object`):

Proxy settings for scraping

## Actor input object example

```json
{
  "searchQueries": [
    "restaurants in New York"
  ],
  "categories": [],
  "location": "New York, NY",
  "maxResults": 100,
  "includeReviews": true,
  "maxReviewsPerPlace": 50,
  "includeContactDetails": true,
  "includePhotos": false,
  "language": "en",
  "region": "us",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nosytlabs/google-maps-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("nosytlabs/google-maps-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 '{}' |
apify call nosytlabs/google-maps-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nosytlabs/google-maps-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VlBtCRRnXkdJqa0E9/builds/YxS8z7ILqPwbit4OM/openapi.json