# Google Maps Satellite Image (`seemuapps/google-maps-satellite-image`) Actor Convert a list of addresses into high-resolution satellite images using the Google Maps imagery. - **URL**: https://apify.com/seemuapps/google-maps-satellite-image.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Google Maps Satellite Image Convert any list of addresses into high-resolution satellite images — no scraping, no browser, just clean PNG files ready to download or export. ### What you get - **640 × 640 px PNG** satellite image per address (configurable down to 256 px) - **Zoom level control** from street level (zoom 21) to city-wide (zoom 10) - **Dataset row per address** with status, image key, and a direct download URL - **Key-Value Store** containing the raw PNG files, accessible via the Apify API or console - Error-tolerant — bad addresses are logged and skipped, the run continues ### Example output | Address | Satellite image | |---|---| | Eiffel Tower, Paris, France | ![Eiffel Tower](https://i.imgur.com/pQvWAdl.png) | | Burj Khalifa, Dubai, UAE | ![Burj Khalifa](https://i.imgur.com/hbL7p8r.png) | | Sydney Opera House, Sydney, Australia | ![Sydney Opera House](https://i.imgur.com/TRQIEfA.png) | | Empire State Building, New York, NY | ![Empire State Building](https://i.imgur.com/1buxwTH.png) | All images captured at zoom level 17. Zoom 19 gives building-level detail (~500 m altitude). ### Use cases - **Real estate analysis** — capture satellite views of properties, land parcels, or development sites at scale - **Business location verification** — confirm physical locations match claimed addresses before onboarding - **Insurance underwriting** — assess roof condition, lot size, and surrounding land use from aerial imagery - **Site scouting** — evaluate candidate sites for solar, construction, or logistics without visiting in person - **Geospatial research** — bulk-generate imagery datasets for ML training or academic analysis - **Competitor mapping** — visualise the physical footprint of competitor locations across a region ### How to use 1. Paste your addresses into the **Addresses** field — one per entry 2. Set **Zoom Level** (default 19 — good for individual buildings; lower for wider context) 3. Set **Image Size** in pixels (default 640, max 640) 4. Run the actor — images appear in the **Key-Value Store** tab, metadata in **Dataset** 5. Download images individually or export the dataset as CSV/JSON for bulk URL access ### Output format Each dataset record: ```json { "address": "1600 Amphitheatre Parkway, Mountain View, CA", "status": "success", "imageKey": "satellite_ca3b5456", "imageUrl": "https://api.apify.com/v2/key-value-stores/{storeId}/records/satellite_ca3b5456", "error": null } ```` If an address fails, `status` is `"error"` and `error` contains the reason — the run continues with the remaining addresses. ### Zoom level guide | Zoom | Approximate altitude | Best for | |---|---|---| | 21 | ~75 m | Individual vehicles, roof detail | | 19 | ~500 m | Buildings, driveways, pools | | 17 | ~2 km | City blocks, campuses | | 14 | ~16 km | Neighbourhoods, towns | | 10 | ~250 km | Regions, counties | # Actor input Schema ## `addresses` (type: `array`): List of addresses to capture satellite images for. ## `zoomLevel` (type: `integer`): Map zoom level (0–21). Level 19 gives ~500 m altitude, good for building-level detail. ## `imageSize` (type: `integer`): Width and height of the output image in pixels. Must be 256, 512, or 640. ## `removeWatermark` (type: `boolean`): Remove watermark from satellite images. ## Actor input object example ```json { "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "One Apple Park Way, Cupertino, CA" ], "zoomLevel": 19, "imageSize": 640, "removeWatermark": false } ``` # Actor output Schema ## `results` (type: `string`): One record per address: address, status (success|error), imageKey, imageUrl, error. # 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 = { "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "One Apple Park Way, Cupertino, CA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/google-maps-satellite-image").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 = { "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "One Apple Park Way, Cupertino, CA", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/google-maps-satellite-image").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 '{ "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "One Apple Park Way, Cupertino, CA" ] }' | apify call seemuapps/google-maps-satellite-image --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/google-maps-satellite-image", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Satellite Image", "description": "Convert a list of addresses into high-resolution satellite images using the Google Maps imagery.", "version": "1.0", "x-build-id": "NMJ1gnUzk5GFvFEMK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~google-maps-satellite-image/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-google-maps-satellite-image", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~google-maps-satellite-image/runs": { "post": { "operationId": "runs-sync-seemuapps-google-maps-satellite-image", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~google-maps-satellite-image/run-sync": { "post": { "operationId": "run-sync-seemuapps-google-maps-satellite-image", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "addresses" ], "properties": { "addresses": { "title": "Addresses", "type": "array", "description": "List of addresses to capture satellite images for.", "items": { "type": "string" } }, "zoomLevel": { "title": "Zoom Level", "minimum": 0, "maximum": 21, "type": "integer", "description": "Map zoom level (0–21). Level 19 gives ~500 m altitude, good for building-level detail.", "default": 19 }, "imageSize": { "title": "Image Size (px)", "minimum": 1, "maximum": 640, "type": "integer", "description": "Width and height of the output image in pixels. Must be 256, 512, or 640.", "default": 640 }, "removeWatermark": { "title": "Remove Watermark", "type": "boolean", "description": "Remove watermark from satellite images.", "default": false } } }, "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 } } } } } } } } } } ```