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

Scrapes Google Maps data, including reviews, images, and contact information.

- **URL**: https://apify.com/datablow/google-maps-scraper.md
- **Developed by:** [datablow](https://apify.com/datablow) (community)
- **Categories:** Lead generation, Real estate, Travel
- **Stats:** 21 total users, 4 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Places Scraper

A robust, production-ready solution for extracting highly detailed data from Google Maps.

### 🌟 Features

- **Advanced Extraction**: Consistently bypasses anti-bot mechanisms ensuring reliable scrape runs without interruptions.
- **Deep Data Retrieval**: Gathers comprehensive details including business name, address, phone number, website, open hours, coordinates, status, claimed status, and descriptions.
- **Granular Controls & Filters**:
  - Filter by minimum star ratings and review counts.
  - Exclude permanently or temporarily closed places.
  - Filter based on website presence or business claimed status.
- **Geographic Precision**: Specify locations by natural text (e.g., "Miyapur, Hyderabad") or define custom search areas to pinpoint exact regions.
- **Rich Media & Reviews**: Extract top reviews and images for each location.
- **Contact Enrichment**: (Optional) Scrape business websites to find emails and social media links.
- **Popular Times**: (Optional) Extract the popularity histogram data for peak hours.
- **B2B Ready Export**: Configured with a specialized tabular view for seamless export to Excel or direct integration into your CRM and Lead generation systems.

### 📊 Output Schema Details

The scraper extracts the following structured data fields for each place:

| Field | Type | Description |
| :--- | :--- | :--- |
| `title` | String | Name of the business or place. |
| `category` | String | Primary business category classification. |
| `rating` | Number | Average review star rating out of 5. |
| `reviewCount` | Integer | Total number of reviews posted. |
| `address` | String | Full physical location address. |
| `phone` | String | Public phone number. |
| `website` | String | Official website link. |
| `status` | String | Open status (e.g., Open now, Closed). |
| `isClaimed` | Boolean | True if the business has an active owner managing the profile. |
| `plusCode` | String | Google Maps Plus Code coordinate for precise location mapping. |
| `openHours` | String | The daily and weekly hours of operation. |
| `description` | String | Summary and descriptive characteristics about the place. |
| `url` | String | Direct URL link to the Google Maps listing. |
| `searchQuery` | String | The original input query used to find this place. |

# Actor input Schema

## `searchTerms` (type: `array`):

Enter the search terms for places you want to scrape (e.g., 'hotels', 'restaurants').

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

Add a specific location to focus your search (e.g., 'Miyapur, Hyderabad').

## `maxPlacesPerSearch` (type: `integer`):

Maximum number of places to scrape per search term or URL.

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

The language for the search results.

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

Maximum number of reviews to extract per place.

## `maxImages` (type: `integer`):

Maximum number of images per place.

## `scrapeDetail` (type: `boolean`):

Visit each place's detail page for full data.

## `scrapePopularTimes` (type: `boolean`):

If enabled, extracts popularity histogram (requires scrapeDetail).

## `contactEnrichment` (type: `boolean`):

Enrich results with email and social media from business website.

## `customGeolocation` (type: `object`):

GeoJSON Polygon or Point to define a precise area.

## `minStarRating` (type: `string`):

Discard places below this rating.

## `websiteFilter` (type: `string`):

Filter by website existence.

## `skipClosed` (type: `boolean`):

Discard permanently or temporarily closed places.

## `minReviewCount` (type: `integer`):

Discard places below this number of reviews.

## `isClaimedFilter` (type: `string`):

Filter by business claimed status.

## Actor input object example

```json
{
  "maxPlacesPerSearch": 10,
  "language": "en",
  "maxReviews": 0,
  "maxImages": 0,
  "scrapeDetail": true,
  "scrapePopularTimes": false,
  "contactEnrichment": false,
  "minStarRating": "All",
  "websiteFilter": "all",
  "skipClosed": false,
  "minReviewCount": 0,
  "isClaimedFilter": "all"
}
```

# 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("datablow/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("datablow/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 datablow/google-maps-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eOV1gL23QmXYNiDnJ/builds/Kk3K91RZ6GJncn71u/openapi.json