# Google Maps Email Scraper (`cerebral_aluminum/google-maps-email-scraper`) Actor

Search Google Maps for any business type in any location. Returns business name, address, phone, website, and rating. Then visits each website to extract email addresses. Input: search queries like "plumbers in Dallas TX". Output: structured business contact data with emails.

- **URL**: https://apify.com/cerebral\_aluminum/google-maps-email-scraper.md
- **Developed by:** [Benny](https://apify.com/cerebral_aluminum) (community)
- **Categories:** Lead generation
- **Stats:** 36 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Business Email Scraper

Search Google Maps for any business type in any city. Get names, addresses, phones, websites, ratings — and emails scraped from each business's website.

### What it does

1. Takes search queries like "plumbers in Dallas TX"
2. Pulls business listings from Google local search results
3. Visits each business's website to find email addresses
4. Returns everything as structured JSON

### Input

```json
{
  "searchQueries": [
    "plumbers in Dallas TX",
    "hvac companies in Houston TX",
    "web design agencies in Miami FL"
  ],
  "maxResults": 20
}
```

`searchQueries` — Google Maps search terms. Be specific: include the business type and location.

`maxResults` — max businesses to extract per query.

### Output

```json
{
  "query": "plumbers in Dallas TX",
  "name": "Dallas Pro Plumbing",
  "address": "123 Main St, Dallas, TX",
  "phone": "(214) 555-1234",
  "website": "https://dalllasproplumbing.com",
  "rating": "4.8",
  "emails": ["info@dallasproplumbing.com"]
}
```

### Use cases

- **Local lead generation**: find businesses in any niche and city
- **Cold outreach**: build email lists for specific industries
- **Competitive analysis**: map out businesses in a market
- **Agency prospecting**: find potential clients by location and type

# Actor input Schema

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

Google Maps search queries like 'plumbers in Dallas TX' or 'restaurants near Miami FL'.

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

Maximum number of results to extract per search query.

## Actor input object example

```json
{
  "searchQueries": [
    "plumbers in Dallas TX"
  ],
  "maxResults": 20
}
```

# 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 Dallas TX"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cerebral_aluminum/google-maps-email-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 Dallas TX"] }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1xi5ckTHdkw0hJ5QF/builds/BboHOPZLZA118MJKn/openapi.json
