# MapLead Photos - Google Maps Photos & Images Scraper (`automation_studio/maplead-photos-scraper`) Actor

Extract high-resolution photos, images, photo categories (Owner, Customer, Food & Drink, Vibe, Rooms), author names, photo URLs, and metadata from Google Maps places. Export to CSV, JSON, & Excel.

- **URL**: https://apify.com/automation\_studio/maplead-photos-scraper.md
- **Developed by:** [Asad Naeem](https://apify.com/automation_studio) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 scraped google maps photos

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?

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

## 📸 MapLead Photos - Google Maps Photos & Images Scraper

**Extract high-resolution photos, thumbnails, author details, and categories from Google Maps places at scale.**

Fast, flexible, and cost-effective Google Maps photo scraper powered by Playwright with built-in proxy support. Extract high-res (1080p/4K) CDN imagery uploaded by business owners and customers.

***

### 🌟 Key Features

- 🖼️ **High-Resolution Photo Extraction**: Automatically converts Google CDN image URLs to high-res (1080p / 4K) versions and provides mobile-friendly thumbnails.
- 📁 **Category Filtering**: Filter photos by **All**, **By Owner**, **Customer Uploads**, **Food & Drink**, **Vibe**, or **Rooms**.
- 👤 **Author & Place Attribution**: Captures place title, place ID, author attribution, and upload date.
- 🎯 **Multi-Target Input**: Search by keywords/locations (e.g. `coffee shops in Brooklyn`), direct Google Maps URLs, or Google Place IDs.
- 💰 **Pay-Per-Event (PPE) Pricing**: Pay only **$0.002 per photo** and **$0.002 per run start**. No expensive monthly subscriptions!
- ⚡ **Proxy Support**: Pre-integrated with Apify Proxy for high reliability without blocks.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchStrings` | Array of Strings | `["restaurants in Miami"]` | Search queries or locations to find places on Google Maps. |
| `startUrls` | Array of Objects | `[]` | Direct Google Maps place or search URLs. |
| `placeIds` | Array of Strings | `[]` | Specific Google Place IDs or `0x...` hex IDs. |
| `maxPhotos` | Integer | `5` | Maximum total photos to harvest across the entire run. |
| `maxPhotosPerPlace` | Integer | `5` | Maximum photos to extract per place listing. |
| `photoCategory` | String (Select) | `ALL` | Filter category: `ALL`, `OWNER`, `CUSTOMER`, `FOOD_DRINK`, `VIBE`, `ROOMS`. |
| `proxyConfiguration` | Object | `{ "useApifyProxy": true }` | Apify Proxy configuration for anti-blocking. |

***

### 📤 Output Format

Each extracted photo produces a clean, structured JSON record pushed directly to the default dataset:

```json
{
  "imageUrl": "https://lh3.googleusercontent.com/p/AF1QipN...=w1920-h1080-k-no",
  "thumbnailUrl": "https://lh3.googleusercontent.com/p/AF1QipN...=w300-h200-k-no",
  "title": "Photo - Joe's Pizza NYC",
  "placeTitle": "Joe's Pizza NYC",
  "placeAddress": "",
  "category": "Customer Upload",
  "author": "Joe's Pizza NYC",
  "publishedAt": "2026-09-07",
  "placeId": "0x89c25990263f338d:0x87d468eb37f7d750",
  "scrapedAt": "2026-09-07T10:30:00.000Z"
}
```

***

### 💡 Common Use Cases

- **AI & Computer Vision Training**: Gather thousands of real-world retail, restaurant, and venue images for dataset training.
- **Local SEO & Business Auditing**: Monitor competitor photo uploads and audit visual brand presence across locations.
- **Directory & Travel Aggregators**: Enrich local city guides, hotel booking portals, and travel apps with high-definition photos.
- **Marketing & Creative Agencies**: Analyze food styling, restaurant ambiance, and customer photo trends.

***

### 🚀 Exporting Data

You can download your scraped photos directly from the Apify Console or API in multiple formats:

- **JSON**
- **CSV**
- **Excel (XLSX)**
- **XML**
- **HTML Table**

# Actor input Schema

## `searchStrings` (type: `array`):

Enter search terms or location queries (e.g. 'restaurants in Miami', 'hotels in New York').

## `startUrls` (type: `array`):

Direct Google Maps place URLs to extract photos from.

## `placeIds` (type: `array`):

Specific Google Maps Place IDs (e.g. 'ChIJN1t\_tDeuEmsRUsoyG83frY4').

## `maxPhotosPerPlace` (type: `integer`):

Number of high-resolution photos to extract per individual place (1 to 100). Default is 5 photos.

## `maxPhotos` (type: `integer`):

Maximum total photos to extract across all places (1 to 5000). Default is 5 photos.

## `photoCategory` (type: `string`):

Filter photos by specific Google Maps photo category.

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

Optional Apify Proxy settings. Google Maps loads directly by default; enable only if you have custom proxies.

## Actor input object example

```json
{
  "searchStrings": [
    "restaurants in Miami"
  ],
  "startUrls": [],
  "placeIds": [],
  "maxPhotosPerPlace": 5,
  "maxPhotos": 5,
  "photoCategory": "ALL",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all extracted Google Maps high-resolution photo URLs, categories, and author metadata

# 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 = {
    "searchStrings": [
        "restaurants in Miami"
    ],
    "startUrls": [],
    "placeIds": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation_studio/maplead-photos-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 = {
    "searchStrings": ["restaurants in Miami"],
    "startUrls": [],
    "placeIds": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("automation_studio/maplead-photos-scraper").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 '{
  "searchStrings": [
    "restaurants in Miami"
  ],
  "startUrls": [],
  "placeIds": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call automation_studio/maplead-photos-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation_studio/maplead-photos-scraper"
        }
    }
}

```

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/b422swZCTWlwWDdtA/builds/asdaCHmcyqK3BgbOj/openapi.json