# Google My Business Scraper Tool (`moving_beacon-owner1/google-my-business-scraper-tool`) Actor

This Python script automates data scraping from Google My Business. It collects essential information like business name, website, phone number, address, ratings, and photos, saving the data in Excel format and uploading it to an Apify dataset.

- **URL**: https://apify.com/moving_beacon-owner1/google-my-business-scraper-tool.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Automation, Lead generation, Travel
- **Stats:** 472 total users, 12 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $9.99 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## **Google My Business Data Scraper**

### **Overview**

The Google My Business Data Scraper is a powerful tool designed to collect essential business information from Google. This tool automates the process of extracting data, including business names, contact details, websites, ratings, profiles, and photos. The extracted data can be saved in an Excel file or sent to an Apify dataset for further analysis, ensuring streamlined access to critical insights.

***

### **Key Features**

- **Efficient Data Extraction**: Automates the collection of business names, phone numbers, addresses, websites, ratings, and photos.
- **Excel Export**: Saves the data in a well-structured Excel file for easy use and sharing.
- **Apify Integration**: Seamlessly stores scraped data in Apify datasets for scalability.
- **Pagination Support**: Handles multiple pages of data to ensure comprehensive results.
- **Headless Browsing**: Operates in the background without disrupting your workflow.

***

### **Benefits**

- Saves time and effort compared to manual data collection.
- Delivers accurate and structured data for business analysis.
- Enhances decision-making with quick access to business information.
- Reduces errors through automated and reliable processes.

***

### **How It Works**

1. **Input Search Query**: The script accepts a search term (e.g., "lawyers in Rawalpindi") to specify the type and location of businesses to scrape.
2. **Scraping Process**: Using Selenium, the script navigates Google My Business, extracts relevant data, and processes each business entry.
3. **Data Storage**:
   - **Excel Output**: Data is saved locally in `<search-term>_data.xlsx`.
   - **Apify Dataset**: Optionally pushes data to an Apify dataset for cloud-based storage.
4. **Output Results**: The output includes all requested business details in a clean and accessible format.

***

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `search` | string | *required* | Search query, e.g. `"restaurants in New York"` |
| `max_results` | int | 100 | Max listings to return (0 = unlimited) |
| `max_scrolls` | int | 50 | Max scroll attempts |
| `language` | string | `"en"` | Google Maps language code |
| `geo_coordinates` | string | — | `"lat,lng"` to center the search |
| `zoom_level` | int | 14 | Map zoom (1–21) |
| `proxy` | object | Residential | Apify proxy config |
| `max_retries` | int | 3 | Retries with proxy rotation |
| `scroll_delay_min` | float | 1.5 | Min delay between scrolls (s) |
| `scroll_delay_max` | float | 3.5 | Max delay between scrolls (s) |
| `extract_detailed` | bool | false | Click each listing for extra fields |

#### **Data Captured**

- **Business Name**
- **Website URL**
- **Phone Number**
- **Address**
- **Ratings**
- **Profile Links**
- **Photo URLs**

***

### **Deliverables**

- Clean and structured Excel file containing all scraped data.
- Optionally, data uploaded to an Apify dataset (if configured).

***

### **Client Instructions**

1. **Search Term**: Provide a clear and specific search term (e.g., "restaurants in New York").
2. **Output Preferences**: Specify if you require Excel output, Apify storage, or both.
3. **Review Results**: Once the script completes, review the Excel file or Apify dataset for insights.

***

***

### **Support**

For any issues, clarifications, or enhancements, feel free to reach out.

***

# Actor input Schema

## `query` (type: `string`):

What to search for on Google Maps: a business type, service or name (e.g. 'coffee shops', 'plumbers', 'Joe's Pizza').

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

City, region or address to search around (e.g. 'Austin, TX', 'London, UK'). Appended to the query as '<query> in <location>'. Leave empty to search without a location constraint.

## `max_results` (type: `integer`):

Maximum number of business records to return. Results are collected 20 per page.

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

Two-letter language code for result labels and addresses (e.g. 'en', 'es', 'de').

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

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "query": "coffee shops",
  "location": "Austin, TX",
  "max_results": 20,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "query": "coffee shops",
    "location": "Austin, TX",
    "max_results": 20,
    "language": "en",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/google-my-business-scraper-tool").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 = {
    "query": "coffee shops",
    "location": "Austin, TX",
    "max_results": 20,
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/google-my-business-scraper-tool").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "coffee shops",
  "location": "Austin, TX",
  "max_results": 20,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/google-my-business-scraper-tool --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/google-my-business-scraper-tool"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XqBcCyiDypLhCES5p/builds/RdiRdGGhrLOXVjza1/openapi.json