# Google Maps Business Data Extractor (`second_coming/google-maps-extractor`) Actor

Scrape business names, addresses, phone numbers, websites, emails, reviews, ratings, and opening hours from Google Maps by location and category. Local lead generation tool.

- **URL**: https://apify.com/second\_coming/google-maps-extractor.md
- **Developed by:** [Richard P](https://apify.com/second_coming) (community)
- **Categories:** Lead generation, Business
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.02 / scan run

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 Business Data Extractor

[![Actor on Apify Store](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com/)
[![Python](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/)

An [Apify Actor](https://apify.com/actors) for extracting business data from Google Maps. Collects business names, addresses, phone numbers, websites, ratings, reviews, opening hours, categories, and coordinates.

### Features

- **Two extraction modes:**
  - **Google Places API** (recommended) — full structured data including hours, photos, coordinates, and price range
  - **Public HTML scraping** — best-effort extraction from Google Maps search pages (JSON-LD, meta tags, embedded state)
- **Multi-query support** — run multiple searches in a single execution (e.g., "pizza in New York", "dentist in Los Angeles")
- **Rate-limited** — 2-second delay between requests to avoid rate limiting
- **Graceful abort** — clean shutdown when stop signal is received
- **Apify dataset output** — results pushed to dataset as they're collected

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `queries` | `array` | Yes | List of search queries. Each item has a `search` string (required) and optional `location` string. |
| `maxResults` | `integer` | No | Max businesses to extract per query (default: 50, max: 500). |
| `apiKey` | `string` | No | Google Places API key. **Strongly recommended** for full data. When empty, falls back to HTML scraping. |

#### Example Input

```json
{
  "queries": [
    {"search": "pizza", "location": "New York"},
    {"search": "dentist", "location": "Los Angeles"},
    {"search": "coffee shop", "location": "Chicago"}
  ],
  "maxResults": 50,
  "apiKey": ""
}
```

### Output

Each dataset item is a business with these fields:

| Field | Type | Description |
|-------|------|-------------|
| `name` | `string` | Business name |
| `address` | `string` | Full street address |
| `phone` | `string` | Phone number |
| `website` | `string` | Website URL |
| `rating` | `number` | Star rating (0.0–5.0) |
| `totalReviews` | `integer` | Number of reviews |
| `priceRange` | `string` | Price level (e.g., `"$"`, `"$$"`, `"$$$"`) |
| `categories` | `array` | Business type categories (e.g., `["restaurant", "food"]`) |
| `latitude` | `number` | Latitude coordinate |
| `longitude` | `number` | Longitude coordinate |
| `hours` | `array` | Opening hours by day |
| `placeId` | `string` | Google Place ID (API mode only) |
| `image` | `string` | Image URL (may be available) |
| `source` | `string` | Data source: `"places_api"` or `"jsonld"` / `"meta"` / `"html_body"` |
| `scrapedAt` | `string` | ISO 8601 timestamp of extraction |

### Usage

#### Local Development

```bash
## Install dependencies
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

## Run with Apify CLI
apify run --purge
```

#### Deploy to Apify Cloud

```bash
apify push
```

### Limitations

#### HTML Scraping Mode (without API Key)

Google Maps is a heavily JavaScript-rendered application. The static HTML that httpx fetches contains limited structured data. In HTML mode:

- **JSON-LD** may be present for featured or nearby businesses, but rarely for all search results
- **Meta tags** provide basic Open Graph data (usually for a single business)
- **Embedded scripts** may contain initialization state with some business data

**Result**: HTML scraping typically finds 0–5 businesses per query. For production use, **always provide a Google Places API key**.

#### Places API Mode

- Requires a [Google Cloud API key](https://console.cloud.google.com/apis/credentials) with the Places API enabled
- Free tier: $200/month credit (roughly 40,000 text searches/month)
- API responses are limited to 60 results per query (20 per page, 3 pages max via `next_page_token`)
- The text search endpoint doesn't return phone numbers or websites directly — those require a follow-up Place Details call

### Getting a Google Places API Key

1. Go to [Google Cloud Console](https://console.cloud.google.com/)
2. Create a project (or select existing)
3. Enable the **Places API**
4. Create an API key under **Credentials**
5. (Optional) Restrict the key to the Places API only
6. Pass the key as `apiKey` in the Actor input

### License

MIT

# Actor input Schema

## `queries` (type: `array`):

List of search queries to run on Google Maps. Each query has a 'search' term and optional 'location'.

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

Maximum number of businesses to extract per search query. When using the Places API, pagination follows the API's next\_page\_token. When using HTML scraping, this is best-effort.

## `apiKey` (type: `string`):

Optional Google Places API key. When provided, the Actor uses the official Places API for full structured data (name, address, phone, website, hours, rating, reviews, photos). When empty, the Actor falls back to public HTML scraping of maps.google.com, which yields much more limited results because Google Maps is JavaScript-rendered.

## Actor input object example

```json
{
  "queries": [
    {
      "search": "pizza in New York",
      "location": ""
    },
    {
      "search": "dentist",
      "location": "Los Angeles"
    }
  ],
  "maxResults": 50,
  "apiKey": ""
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "queries": [
        {
            "search": "pizza in New York",
            "location": ""
        },
        {
            "search": "dentist",
            "location": "Los Angeles"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("second_coming/google-maps-extractor").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 = { "queries": [
        {
            "search": "pizza in New York",
            "location": "",
        },
        {
            "search": "dentist",
            "location": "Los Angeles",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("second_coming/google-maps-extractor").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 '{
  "queries": [
    {
      "search": "pizza in New York",
      "location": ""
    },
    {
      "search": "dentist",
      "location": "Los Angeles"
    }
  ]
}' |
apify call second_coming/google-maps-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dfNNmmGefavdigLPD/builds/vgQaLhKfUl2HMZyBI/openapi.json