# Google Maps Scraper with Email Extraction (`lulzasaur/google-maps-scraper`) Actor

Scrape Google Maps business listings with emails, phone numbers, addresses, ratings, and reviews. Extract leads from any search query with website email crawling.

- **URL**: https://apify.com/lulzasaur/google-maps-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** Other
- **Stats:** 8 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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 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 with Email Extraction

Extract business leads from Google Maps including emails, phone numbers, addresses, ratings, opening hours, and reviews.

### Key Features

- **Email extraction** — Automatically crawls business websites to find contact emails
- **Full business data** — Name, address, phone, website, rating, reviews, category, coordinates
- **Multiple queries** — Run multiple search queries in a single run
- **Review scraping** — Optionally extract review text and ratings
- **Smart caching** — Avoids re-crawling the same business website domains

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| searchQueries | string\[] | \["plumbers in Denver, CO"] | Google Maps search queries |
| maxResults | integer | 100 | Max businesses per query (0 = unlimited) |
| scrapeEmails | boolean | true | Crawl websites for emails |
| scrapeReviews | boolean | false | Extract review text |
| maxReviews | integer | 5 | Reviews per business (1-50) |
| language | string | "en" | Maps interface language |
| proxyConfiguration | object | Residential | Proxy settings (residential required) |

### Output

Each result contains:

```json
{
    "businessName": "Denver Plumbing Co",
    "placeId": "ChIJ...",
    "address": "123 Main St, Denver, CO 80202",
    "phone": "+1 303-555-0100",
    "website": "https://denverplumbing.com",
    "emails": ["info@denverplumbing.com", "jobs@denverplumbing.com"],
    "rating": 4.7,
    "reviewCount": 234,
    "category": "Plumber",
    "priceLevel": "$$",
    "latitude": 39.7392,
    "longitude": -104.9903,
    "openingHours": {"Monday": "8 AM–6 PM", "Tuesday": "8 AM–6 PM"},
    "plusCode": "QRVW+XY Denver, CO",
    "reviews": [{"author": "John", "rating": 5, "text": "Great service!", "time": "2 months ago"}],
    "searchQuery": "plumbers in Denver, CO",
    "scrapedAt": "2026-04-20T12:00:00.000Z"
}
```

### Usage Tips

- Use specific location queries for best results (e.g., "dentists in Austin, TX" not just "dentists")
- Email extraction adds ~1-2 seconds per business but provides high-value lead data
- Set `maxResults` to control run time and cost
- Residential proxies are required — Google blocks datacenter IPs

### Proxy

This scraper requires **residential proxies**. The default configuration uses Apify's RESIDENTIAL proxy group. Google Maps will block requests from datacenter IPs.

### Cost

Pricing: $0.005 per result (Pay Per Event). A typical run of 100 businesses costs ~$0.50.

Memory recommendation: 4096 MB for optimal performance with Playwright browser.

# Actor input Schema

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

Google Maps search queries (e.g., 'plumbers in Denver, CO', 'restaurants near Times Square'). Each query produces a separate set of results.

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

Maximum number of businesses to scrape per search query. Google Maps typically shows up to ~400 results. Set to 0 for unlimited.

## `scrapeEmails` (type: `boolean`):

If enabled, crawls each business website to find email addresses. Adds ~1-2 seconds per business but provides valuable lead data.

## `scrapeReviews` (type: `boolean`):

If enabled, extracts review text for each business. Makes scraping slower.

## `maxReviews` (type: `integer`):

Maximum number of reviews to extract per business (only used if Scrape Reviews is enabled).

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

Google Maps interface language.

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

REQUIRED: Google Maps blocks datacenter IPs. Use residential proxies for reliable scraping.

## Actor input object example

```json
{
  "searchQueries": [
    "plumbers in Denver, CO"
  ],
  "maxResults": 5,
  "scrapeEmails": true,
  "scrapeReviews": false,
  "maxReviews": 5,
  "language": "en",
  "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 = {
    "searchQueries": [
        "plumbers in Denver, CO"
    ],
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/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 = {
    "searchQueries": ["plumbers in Denver, CO"],
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/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 '{
  "searchQueries": [
    "plumbers in Denver, CO"
  ],
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call lulzasaur/google-maps-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/nU1Lv1EMg2bi6i4Ev/builds/d2N0D9LNgAsORFHOv/openapi.json