Apple Maps Scraper API

Apple Maps answers any one search with 25 places and then stops. This gets past that by splitting the area into a grid and searching each tile, then dropping the duplicates: a real run for coffee shop in San Francisco came back with 250 unique places.

Each one carries name, full address, coordinates, category, phone number, website, opening hours, star rating, review count, price level, amenities and photos.

Give it a search term and a city, or paste Apple Maps links. It reads the same endpoints the Apple Maps web app reads, so what you get is Apple's own place data. You don't need an Apple Developer account or a key.

What you get

One row per place. A real run for coffee shop in San Francisco returned rows like this:

{
  "placeId": "IB7DAEFD6CC4ED79F",
  "name": "Saint Frank Coffee",
  "category": "Cafe",
  "categories": ["Dining", "Coffee Shop", "Cafe"],
  "categoryId": "dining.cafe.coffee_shop",
  "address": "2340 Polk St, San Francisco, CA  94109, United States",
  "street": "2340 Polk St",
  "city": "San Francisco",
  "stateCode": "CA",
  "postalCode": "94109",
  "countryCode": "US",
  "latitude": 37.7981225,
  "longitude": -122.4659999,
  "timezone": "America/Los_Angeles",
  "phone": "+14158818062",
  "phoneFormatted": "+1 (415) 881-8062",
  "website": "https://www.saintfrankcoffee.com",
  "rating": 3.9,
  "reviewCount": 88,
  "priceRange": "$$",
  "openingHoursText": "Sun: 07:00-18:00; Mon: 07:00-18:00; Tue: 07:00-18:00; Wed: 07:00-18:00; Thu: 07:00-18:00; Fri: 07:00-18:00; Sat: 07:00-18:00",
  "amenities": ["Accepts Apple Pay", "Accepts Contactless Payments", "Wheelchair Accessible"],
  "appleMapsUrl": "https://maps.apple.com/place?place-id=IB7DAEFD6CC4ED79F&_provider=9902"
}

Full field list: placeId, muid, name, category, categories, categoryId, placeType, address, addressLines, street, subLocality, city, state, stateCode, postalCode, country, countryCode, latitude, longitude, timezone, phone, phoneFormatted, additionalPhones, website, rating, ratingMax, reviewCount, priceLevel, priceRange, openingHours, openingHoursText, hoursType, amenities, photos, reviews, description, editorialTitle, editorialText, isClaimable, quickLinks, appleMapsUrl, searchQuery, position, scrapedAt.

How complete is each field?

Measured on a real run: 250 coffee shops in San Francisco, 250 unique places, no duplicates.

Field	Filled
name, address, city, postcode, country code, coordinates	100%
category, categories, timezone, Apple Maps URL	100%
opening hours	98%
photos	98%
website	95%
amenities	94%
phone	89%
star rating + review count	87%
review snippets	86%
price level	56%

Ratings, reviews and price levels come from Apple's partners, Yelp among them. Apple doesn't hold them for every business, so those columns are genuinely blank sometimes rather than missed by the scraper. A later 200-row sample in a different city came back with ratings on 82% and photos on 81%, so expect those to move with what you search. The structural fields (name, address, coordinates, hours, category, contact) are there for essentially every business in both runs.

Input

{
  "searchQueries": ["coffee shop", "bakery"],
  "location": "San Francisco, CA",
  "maxItems": 200,
  "language": "en-US",
  "countryCode": "US"
}

• searchQueries — one or more terms. Each is searched across the whole area.
• location — a city, neighbourhood or region name. Resolved through Apple Maps itself, so "Austin, TX", "Shoreditch, London" and "Bayern" all work.
• latitude / longitude / searchRadiusKm — search a point instead of a named place.
• startUrls — paste Apple Maps links. Place links (https://maps.apple.com/place?place-id=...) are looked up individually; search links (https://maps.apple.com/search?query=...&center=lat,lng) are re-run as searches.
• maxItems — hard stop. You are charged per place returned, so this is your budget cap.
• language — names, categories and descriptions come back in this language.
• countryCode — biases the search, e.g. GB, DE, JP.

How it gets more than 25 results

Apple caps any single Maps search at 25 places. To go past that the actor splits the area into a grid and searches each tile, then removes duplicates. A 2x2 grid over San Francisco produced 96 unique coffee shops from 4 requests; the grid keeps widening (3x3, 4x4, 6x6 …) until it hits your maxItems or a whole grid level stops finding anything new. That means the cost of a big run scales with places found, not with wasted requests.

In practice: 250 unique San Francisco coffee shops took 63 seconds and no proxy at all.

What this does not do

• No full review scraping. You get the star rating, the total review count and up to three review snippets that Apple shows on the place card. It isn't a review-export tool.
• No email addresses. Apple Maps does not carry them. Nothing here invents one.
• No driving directions, transit schedules or traffic.
• No Look Around imagery or satellite tiles.
• Ratings are partner data. Where Apple has no partner rating, rating and reviewCount are null. That's Apple's coverage, not a scraping failure.
• Very large areas need a big maxItems. Covering an entire country at street level means a lot of tiles. Run it city by city.

Billing

$0.40 per 1,000 places returned, plus a $0.001 start fee per run. One charge per place, and duplicates removed by the grid search are dropped before anything is billed.

Every row you pay for is a real place. If a location cannot be resolved, a search returns nothing, or Apple refuses a request, the actor writes a labelled _diagnostic row explaining what happened and charges nothing for it. Running with no input at all writes one labelled _sample row, also uncharged.

FAQ

Is there an official Apple Maps API for business listings? Apple's MapKit JS and the Apple Maps Server API need a paid Apple Developer account, a signed JWT, and their terms restrict what you may store. This actor reads the public Apple Maps website endpoints instead, and hands you plain JSON or CSV with no key to manage.

Where does the data come from? maps.apple.com, Apple's own Maps web app. Business ratings, review snippets and some amenity flags inside that data are supplied to Apple by partners such as Yelp, and are attributed as such in Apple Maps itself.

How do I scrape Apple Maps for a whole city? Set location to the city and maxItems to how many places you want. The grid search widens automatically. For a dense category in a big city, expect a few hundred to a few thousand places.

Can I get results for a specific business? Yes. Open the business in Apple Maps, copy the share link, and paste it into startUrls.

How many places do I get per search term? A single Apple search returns 25. The tiling grid goes well past that: 250 unique coffee shops came back for San Francisco. Where it stops depends on how many places Apple actually holds for that category in that area, so a dense category in a big city gives you a few hundred to a few thousand and a narrow one gives you far fewer. Duplicates across tiles are removed before anything is charged.

Does it work outside the United States? Yes. Set countryCode and language to match, for example countryCode: "DE" and language: "de-DE".

What are placeId and muid? placeId is the id Apple puts in shareable place links, so appleMapsUrl is a link you can open. muid is Apple's internal numeric id for the same place. Both are stable and both can be fed back into this actor.

Can I use it for lead generation? Yes. Name, address, phone, website, category and opening hours are the columns people build prospect lists from. There are no email addresses; Apple does not publish them.

How much does it cost? $0.40 per 1,000 places, plus a $0.001 start fee per run. Diagnostic and sample rows are free.

Output formats

JSON, CSV, Excel, XML and RSS from the Apify dataset, or through the API. Nested fields (openingHours, amenities, photos, reviews, quickLinks) flatten into columns on CSV export.