🗺️ Apple Maps Scraper

The most affordable and comprehensive Apple Maps data extraction tool available. Get real-time place data from Apple Maps including business names, addresses, phone numbers, websites, ratings, reviews, business hours, photos, amenities, categories, GPS coordinates, Michelin stars, editorial content, and 60+ fields per result.

⚡ Why this scraper?

• 💰 Cheapest on the market — significantly lower cost per result than any alternative
• 📋 60+ data fields per place — more comprehensive than any competing Apple Maps tool
• 🔧 No setup required — works instantly, no Apple account or API key needed
• 🌍 40+ languages supported — English, French, German, Japanese, Chinese, Arabic, and many more
• 🔄 Real-time data — every result is fetched live from Apple Maps
• 🚀 Lightning fast — hundreds of places extracted per minute
• 🧹 Automatic deduplication — no duplicate results in your dataset
• 💾 Resume support — long runs save progress and resume after interruptions

📊 What data can you extract?

Every place result includes up to 60+ structured fields:

🏢 Core business information

Field	Description
name	Business or place name
placeId	Unique Apple Maps place identifier
muid	Apple Maps internal unique ID
placeType	Type classification (BUSINESS, LANDMARK, etc.)
placeDisplayType	Display type classification
categoryName	Primary category (e.g., Restaurant, Hotel, Coffee Shop)
categories	Full multi-level category tree with IDs and hierarchy levels
categoryIds	Flat array of all category IDs
mapsCategoryMuid	Apple Maps internal category identifier
description	Place description text
brandMuid	Brand identifier for chain businesses

📞 Contact details

Field	Description
phone	Primary phone number
phoneFormatted	Formatted phone number
altPhones	Additional/alternate phone numbers
fax	Fax number
website	Business website URL

📍 Address and location

Field	Description
address	Short formatted address
fullAddress	Complete multi-line address
street	Full street address
subThoroughfare	Street number
thoroughfare	Street name
subLocality	Sub-locality or district
city	City or locality
subAdministrativeArea	County or sub-administrative area
state	State or administrative area
stateCode	State/province abbreviation
postalCode	ZIP or postal code
country	Country name
countryCode	ISO country code
neighborhood	Neighborhood or district name
areaOfInterest	Named areas of interest near the place
latitude	GPS latitude coordinate
longitude	GPS longitude coordinate
timezone	IANA timezone identifier (e.g., America/New_York)
timezoneOffset	UTC offset string (e.g., -05:00)

⭐ Ratings and reviews

Field	Description
rating	Average rating score (e.g., 4.5)
maxRating	Maximum possible rating score
reviewCount	Total number of ratings
reviewCountFormatted	Human-readable rating count (e.g., "1.4K")
ratingProvider	Rating source (e.g., "Yelp")
reviewsUrl	Direct link to reviews on provider site
priceLevel	Price level on a 1–4 scale
maxPriceLevel	Maximum price level
reviews	Array of review snippets with text, rating, reviewer name, and date

🕐 Hours and availability

Field	Description
hours	Full weekly business hours schedule (day, open/close times)
open24Hours	Whether the place is open 24 hours

📸 Media, editorial, and recognition

Field	Description
photos	Photo URLs with dimensions, author, provider, and category
editorial	Editorial content from guides (Michelin, The Infatuation, etc.)
accolades	Awards and recognitions (Michelin stars, James Beard, etc.)
featuredIn	Curated guides and publications featuring this place
amenities	Available amenities with status (parking, Wi-Fi, accessibility, etc.)
actions	Available actions (reservations, online ordering, menus) with URLs
containmentLine	Parent location context (e.g., "Inside Terminal 3")
lookAroundAvailable	Whether Apple Look Around street view is available

🏷️ Ownership and claims

Field	Description
claimUrl	URL to claim this business on Apple Business Connect
isClaimable	Whether the listing can be claimed
buildingId	Apple Maps building identifier

🔗 Metadata

Field	Description
inputContext	The search query or URL that produced this result
appleUrl	Direct link to the place on Apple Maps
scrapedAt	ISO timestamp of when the data was collected

📥 Input options

🔍 Search by query

Use natural language search queries, just like you would on Apple Maps:

{
    "searchQueries": [
        "coffee shops in San Francisco",
        "hotels near Times Square New York",
        "dentists in Chicago"
    ]
}

📌 Search with specific coordinates

Target a precise geographic area:

{
    "searchQueries": ["restaurants"],
    "latitude": 48.8566,
    "longitude": 2.3522
}

🏙️ Search by location name

Let the scraper resolve coordinates automatically:

{
    "searchQueries": ["gyms"],
    "location": "Miami, FL"
}

🔗 Scrape specific places by URL

Extract data from specific Apple Maps place URLs:

{
    "placeUrls": [
        "https://maps.apple.com/place?auid=15734941717876813476"
    ]
}

🌐 Use Apple Maps search URLs

Paste search URLs directly from your Apple Maps browser:

{
    "searchUrls": [
        "https://maps.apple.com/?q=pizza&ll=40.7128,-74.0060"
    ]
}

🌏 Multilingual results

Get results in any of 40+ supported languages:

{
    "searchQueries": ["restaurants in Paris"],
    "language": "fr-FR"
}

🔀 Combine multiple input types

Mix and match in a single run:

{
    "searchQueries": ["coffee shops in Seattle"],
    "placeUrls": ["https://maps.apple.com/place?auid=15734941717876813476"],
    "location": "Seattle, WA",
    "maxItems": 500,
    "language": "en-US"
}

📤 Output example

{
    "inputContext": "restaurants in new york",
    "placeId": "IDA5DBE200785AEA4",
    "muid": "15734941717876813476",
    "name": "The River Cafe",
    "placeType": "BUSINESS",
    "placeDisplayType": "BUSINESS",
    "categoryName": "New American Cuisine",
    "categories": [
        {"name": "New American Cuisine", "categoryId": "restaurant.american.new", "level": 2}
    ],
    "description": "Fine dining restaurant in NYC.",
    "phone": "+17185225200",
    "phoneFormatted": "+1 (718) 522-5200",
    "altPhones": ["+17185522427"],
    "website": "https://rivercafe.com/",
    "brandMuid": "",
    "address": "1 Water St, Brooklyn",
    "fullAddress": "1 Water St Brooklyn, NY 11201 United States",
    "street": "1 Water St",
    "city": "Brooklyn",
    "state": "New York",
    "stateCode": "NY",
    "postalCode": "11201",
    "country": "United States",
    "countryCode": "US",
    "neighborhood": "Fulton Ferry",
    "latitude": 40.7037044,
    "longitude": -73.9948297,
    "timezone": "America/New_York",
    "rating": 4.1,
    "maxRating": 5,
    "reviewCount": 1396,
    "reviewCountFormatted": "1.4K",
    "ratingProvider": "Yelp",
    "reviewsUrl": "http://yelp.com/apple_maps_action?id=...",
    "priceLevel": 4,
    "maxPriceLevel": 4,
    "hours": [
        {"day": "MONDAY", "hours": []},
        {"day": "WEDNESDAY", "hours": [{"open": "17:00", "close": "22:30"}]}
    ],
    "open24Hours": false,
    "reviews": [
        {
            "text": "Beautiful dining room, attentive service, gorgeous gardens.",
            "rating": 4,
            "maxRating": 5,
            "reviewer": "Marianne F.",
            "time": "2026-06-07T15:42:13.000Z"
        }
    ],
    "photos": [
        {
            "photoId": "photo_xyz",
            "url": "https://is1-ssl.mzstatic.com/image/thumb/.../320x320bb.jpeg",
            "width": 308,
            "height": 308,
            "author": "The River Cafe",
            "provider": "MICHELIN Guide",
            "category": "Interior"
        }
    ],
    "amenities": [
        {"name": "Accepts Apple Pay", "amenityId": "apple_pay", "available": true},
        {"name": "Has Parking", "amenityId": "parking", "available": true},
        {"name": "Wheelchair Accessible", "amenityId": "wheelchair", "available": true}
    ],
    "accolades": [
        {"text": "Three Stars", "provider": "MICHELIN Guide"}
    ],
    "editorial": [
        {
            "title": "Michelin",
            "text": "Iconic waterfront fine dining with stunning Manhattan views...",
            "url": "https://guide.michelin.com/..."
        }
    ],
    "featuredIn": [],
    "actions": [
        {"title": "Reserve a Table", "url": "https://resy.com/...", "categoryId": "reservation"}
    ],
    "lookAroundAvailable": false,
    "claimUrl": "https://business.apple.com/?claimId=15734941717876813476",
    "isClaimable": true,
    "buildingId": "360850920180673950",
    "appleUrl": "https://maps.apple.com/place?auid=15734941717876813476",
    "scrapedAt": "2026-07-23T12:00:00.000Z"
}

💼 Use cases

• 🏪 Lead generation — Build targeted business lists with phone numbers, websites, and addresses for sales outreach
• 📈 Market research — Analyze business density, ratings, and pricing tiers across geographic areas
• 🗺️ Location analytics — Create detailed business maps with GPS coordinates and category data
• 💬 Review monitoring — Track customer sentiment and compare review performance against competitors
• 🔍 Local SEO audits — Verify business listing consistency across Apple Maps
• 🏠 Real estate analysis — Assess nearby amenities and neighborhood quality for property evaluations
• ✈️ Travel and hospitality — Compile destination guides with ratings, hours, photos, and Michelin content
• 🎓 Academic research — Study commercial corridors and urban development trends

🌍 Supported languages

40+ languages including English (US, UK, AU), French, German, Spanish, Italian, Japanese, Korean, Portuguese, Chinese (Simplified, Traditional), Dutch, Swedish, Danish, Norwegian, Finnish, Polish, Turkish, Russian, Arabic, Hebrew, Hindi, Thai, Vietnamese, Indonesian, Malay, Ukrainian, Czech, Hungarian, Romanian, Slovak, Slovenian, Croatian, Greek, and Catalan.

🔌 API, MCP & integrations

• 🌐 REST API — Start runs and retrieve datasets from any programming language
• 🤖 MCP server — Connect to AI agents like Claude, ChatGPT, or any MCP-compatible assistant
• 🔔 Webhooks — Get notified when scraping completes
• ⚙️ Integrations — Zapier, Make, n8n, LangChain, and hundreds more
• 📅 Scheduled runs — Recurring data collection on any schedule
• 📁 Export formats — JSON, CSV, Excel, or via API

🐍 Python example

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "searchQueries": ["coffee shops in San Francisco"],
    "maxItems": 100,
    "language": "en-US"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["phone"], item["rating"])

📜 JavaScript example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('YOUR_ACTOR_ID').call({
    searchQueries: ['hotels in London'],
    maxItems: 200,
    language: 'en-GB'
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.name, item.rating, item.website));

💡 Tips for best results

1. 📍 Include location in your query — "pizza in Chicago" works better than just "pizza"
2. 🎯 Use coordinates for precision — Set latitude/longitude to target a specific area
3. 🔢 Multiple queries for coverage — Apple Maps returns ~70 results per search area, so use multiple queries with different locations
4. 🔀 Combine input types — Use search queries for discovery and place URLs for specific businesses
5. 🌐 Language matters — Set the language to match your target market for localized results

⚙️ Proxy configuration

This scraper works without any proxy for most use cases. If you experience rate limiting on very large runs, you can optionally configure a proxy in the input settings.

📏 Limitations

• Each search query returns up to ~70 results from Apple Maps (Apple's internal limit per search area)
• For broader coverage, use multiple queries with different geographic coordinates or location names
• Review snippets are limited to what Apple Maps provides (typically 3 per place)
• Some fields may be empty for places with incomplete listings

❓ FAQ

How many results can I get per run? Each search query returns up to ~70 results. For larger datasets, use multiple queries targeting different areas. There is no hard cap on total results — combine as many queries as you need.

Do I need to provide coordinates? No. Include location in your search query (e.g., "restaurants in Paris") or use the location field. Explicit latitude/longitude gives the most precise control.

What happens if a run is interrupted? The scraper saves progress automatically. Interrupted runs resume from where they left off.

Can I get data in my language? Yes — 40+ languages supported. Set the language field to your desired locale code.

How fresh is the data? Every result is fetched live from Apple Maps. No caching — always the most current data.

Can I scrape specific businesses by URL? Yes. Use placeUrls to provide direct Apple Maps place links.

Is there a free tier? Yes — free users can extract up to 25 results per run.

🔗 Related scrapers

• Google Maps Reviews Scraper — Extract reviews from Google Maps
• TripAdvisor Reviews Scraper — Scrape hotel and restaurant reviews
• Nominatim Geocoder — Forward and reverse geocoding with 120+ enriched fields
• Telefonbuch Scraper — German business directory with GPS, hours, and reviews

🛟 Support

Questions or issues? Open an issue on this actor's page — we actively maintain and update this scraper.