📸 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.

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🌟 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.

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📥 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.

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📤 Output Format

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

{
  "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"
}

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💡 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.

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🚀 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