# Apple Maps Scraper (Imagery / Satellite Maps Capture API) (`t_wasfy/apple-maps-scraper`) Actor Capture Apple Maps frame map servers into cropped tiles and optional stitched GeoTIFF output. Coordinate-based frame capture API for generating cropped screenshot mosaics and GeoTIFF outputs.Ls. Use only where you have permission or where your use complies with the provider’s terms. - **URL**: https://apify.com/t\_wasfy/apple-maps-scraper.md - **Developed by:** [Tarek Wasfy](https://apify.com/t_wasfy) (community) - **Categories:** Other, Developer tools, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Frame Map Downloader Apify Actor — Coordinates Only This Actor captures a frame-map screenshot grid from coordinates and stitches the cropped cells into a PNG and optional EPSG:3857 GeoTIFF. ## Apple Maps Frame Capture API Capture map areas from coordinate bounding boxes and export cropped screenshot mosaics as PNG and optional EPSG:3857 GeoTIFF. This Actor is designed for GIS, visual map export, QA workflows, remote sensing previews, and automated frame capture jobs. Users only need to provide coordinates. The Actor handles the screenshot grid, crop margins, parallel capture, stitching, and optional GeoTIFF metadata. Use this Actor only where your use complies with the map/frame provider’s terms and where you have the required permission. ### Minimal input The API user only needs coordinates. Zoom is optional and defaults to 18. ```json { "minLat": 50.9000, "minLon": 6.9400, "maxLat": 50.9140, "maxLon": 6.9980, "zoom": 18 } ```` ### Built-in defaults The desktop Apple/frame screenshot defaults are embedded in `src/main.py`: - `urlTemplate`: `https://maps.apple.com/frame?map=satellite¢er={center_lat}%2C{center_lon}&span={lat_span}%2C{lon_span}` - `viewportWidth`: `1600` - `viewportHeight`: `1600` - `cropLeft`: `300` - `cropTop`: `0` - `cropRight`: `100` - `cropBottom`: `100` - `appleMapPaneLeftPx`: `285` - `cropAwareUrlSpan`: `true` - `maxConcurrency`: `4` Use only with map/frame services where your use complies with the provider terms and you have the required permission. # Actor input Schema ## `minLat` (type: `number`): Minimum latitude of the requested bounding box. ## `minLon` (type: `number`): Minimum longitude of the requested bounding box. ## `maxLat` (type: `number`): Maximum latitude of the requested bounding box. ## `maxLon` (type: `number`): Maximum longitude of the requested bounding box. ## `zoom` (type: `integer`): Web Mercator zoom level used for the screenshot grid. ## `maxCells` (type: `integer`): Maximum allowed number of screenshot cells for one run. ## `maxConcurrency` (type: `integer`): Maximum number of screenshots captured in parallel. ## `outputFormats` (type: `array`): Output formats to generate, for example png and geotiff. ## Actor input object example ```json { "minLat": 50.9, "minLon": 6.94, "maxLat": 50.914, "maxLon": 6.998, "zoom": 18, "maxCells": 50000, "maxConcurrency": 4, "outputFormats": [ "png", "geotiff" ] } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "minLat": 50.9, "minLon": 6.94, "maxLat": 50.914, "maxLon": 6.998, "zoom": 18 }; // Run the Actor and wait for it to finish const run = await client.actor("t_wasfy/apple-maps-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "minLat": 50.9, "minLon": 6.94, "maxLat": 50.914, "maxLon": 6.998, "zoom": 18, } # Run the Actor and wait for it to finish run = client.actor("t_wasfy/apple-maps-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "minLat": 50.9, "minLon": 6.94, "maxLat": 50.914, "maxLon": 6.998, "zoom": 18 }' | apify call t_wasfy/apple-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=t_wasfy/apple-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple Maps Scraper (Imagery / Satellite Maps Capture API)", "description": "Capture Apple Maps frame map servers into cropped tiles and optional stitched GeoTIFF output.\nCoordinate-based frame capture API for generating cropped screenshot mosaics and GeoTIFF outputs.Ls.\nUse only where you have permission or where your use complies with the provider’s terms.", "version": "0.1", "x-build-id": "ybmrMTIcNao3f4T9V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/t_wasfy~apple-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-t_wasfy-apple-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/t_wasfy~apple-maps-scraper/runs": { "post": { "operationId": "runs-sync-t_wasfy-apple-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/t_wasfy~apple-maps-scraper/run-sync": { "post": { "operationId": "run-sync-t_wasfy-apple-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "minLat", "minLon", "maxLat", "maxLon" ], "properties": { "minLat": { "title": "South / min latitude", "type": "number", "description": "Minimum latitude of the requested bounding box." }, "minLon": { "title": "West / min longitude", "type": "number", "description": "Minimum longitude of the requested bounding box." }, "maxLat": { "title": "North / max latitude", "type": "number", "description": "Maximum latitude of the requested bounding box." }, "maxLon": { "title": "East / max longitude", "type": "number", "description": "Maximum longitude of the requested bounding box." }, "zoom": { "title": "Zoom", "minimum": 0, "maximum": 22, "type": "integer", "description": "Web Mercator zoom level used for the screenshot grid.", "default": 18 }, "maxCells": { "title": "Maximum screenshots safety limit", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum allowed number of screenshot cells for one run.", "default": 50000 }, "maxConcurrency": { "title": "Parallel captures", "minimum": 1, "maximum": 16, "type": "integer", "description": "Maximum number of screenshots captured in parallel.", "default": 4 }, "outputFormats": { "title": "Output formats", "type": "array", "description": "Output formats to generate, for example png and geotiff.", "items": { "type": "string", "enum": [ "png", "geotiff" ], "enumTitles": [ "PNG", "GeoTIFF EPSG:3857" ] }, "default": [ "png", "geotiff" ] } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```