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Apple Maps Scraper

Scrapes Apple Maps business listings for local lead generation, category research, and location-based market analysis. No browser required — it uses the MapKit API directly.

Features

• Search one or more business categories across a whole area
• Collect business names, categories, phone numbers, websites, addresses, and coordinates
• Automatic area sizing — type a city, district, or street and the area is covered at the right zoom (no need to guess a radius)
• Grid tiling with adaptive splitting to get past Apple's ~20-results-per-search cap
• Return clean records with Apple Maps links and scrape timestamps

How it works

A single Apple Maps search returns at most ~20 results. To cover a whole area, this Actor:

1. Geocodes your location and reads Apple's own boundary for it — a city is covered wide, a neighbourhood or street narrow.
2. Tiles that area into a grid and runs one local search per cell.
3. Splits dense (saturated) cells into smaller ones, the way a person zooms in and pans around.
4. Deduplicates and merges results, then keeps only places that fall inside the requested area.

Getting more results — important

Apple returns only the most prominent matches for a generic keyword, and Apple Maps coverage varies by category and country. For maximum coverage:

• Use several keywords, including the local language and brands: ["cafe", "kahve", "kahvaltı", "Starbucks", "Espressolab"]
• Categories Apple indexes well (pharmacies, restaurants, hotels, shops) return far more than niche ones.
• Result counts reflect what Apple Maps actually has for your area — the Actor does not invent far-away results to pad the list.

Input

Other advanced grid/cost controls (cellSizeMeters, adaptiveGrid, saturationThreshold, maxGridDepth, maxCells, …) are tuned by default — change them only if you understand the trade-offs.

Examples

Search a whole district (automatic area)

{
"searchQueries":["cafe","kahve"],
"location":"Kadıköy, İstanbul",
"maxItems":100,
"lang":"tr-TR"
}

Maximum coverage with multiple keywords and brands

{
"searchQueries":["cafe","kahve","kahvaltı","Starbucks","Espressolab","Kahve Dünyası"],
"location":"Beşiktaş, İstanbul",
"maxItems":200,
"lang":"tr-TR"
}

Fixed radius around coordinates

{
"searchQueries":["eczane"],
"lat":40.9907,
"lng":29.0289,
"radius":2000,
"maxItems":100,
"lang":"tr-TR"
}

Output

Each dataset item contains place data such as:

• Business name, category, address, phone number, and website
• Latitude, longitude, country, and Apple Maps URL
• Original search query and matched query
• Scrape timestamp