# Google Earth Scraper (`crawlerbros/google-earth-scraper`) Actor Advanced Google Earth Scraper. Extracts precise 3D coordinates (Latitude, Longitude, Altitude), Place IDs, Addresses, and metadata from Google Earth. - **URL**: https://apify.com/crawlerbros/google-earth-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Real estate, Travel, Other - **Stats:** 25 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Earth Location Scraper A robust Apify Actor that scrapes location data directly from Google Earth. ### Features - **Direct Google Earth Scraping**: Extracts data from Google Earth's internal Search API. - **Headless Support**: Uses Xvfb and SwiftShader to render Google Earth's 3D interface in a headless Docker environment. - **No API Keys Required**: Does not require a Google Maps API key. - **Detailed Data**: Extracts latitude, longitude, place name, description, and other metadata. ### Input The actor accepts the following input options: | Field | Type | Default | Description | |---|---|---|---| | `searchQueries` | array | `['Eiffel Tower']` | List of location names or addresses to search for. | | `minDelayBetweenRequests` | integer | `2` | Minimum delay (in seconds) between search requests. | | `maxDelayBetweenRequests` | integer | `5` | Maximum delay (in seconds) between search requests. | #### Example Input ```json { "searchQueries": [ "Eiffel Tower", "Statue of Liberty", "Burj Khalifa" ], "minDelayBetweenRequests": 2, "maxDelayBetweenRequests": 5 } ```` ### Output The actor outputs the scraped data to the default dataset. Each result includes: - `search_query`: The query used to find the location. - `place_name`: The name of the place found. - `latitude`: Latitude coordinate. - `longitude`: Longitude coordinate. - `description`: Brief description (if available). - `google_place_id`: Google's internal place ID. - `url`: The Google Earth URL for the location. - `scraped_at`: Timestamp of extraction. #### Example Output ```json { "search_query": "Eiffel Tower", "place_name": "Eiffel Tower", "latitude": 48.85837, "longitude": 2.294481, "description": "Tower in Paris, France", "google_place_id": "0x47e66e2964e34e2d:0x8ddca9ee380ef7e0", "url": "https://earth.google.com/web/search/Eiffel+Tower/...", "data_source": "search_api", "scraped_at": "2025-11-28T12:00:00.000000" } ``` ### Technical Details This scraper runs a headless Chromium browser with **Xvfb** (Virtual Framebuffer) to support WebGL rendering, which is required for Google Earth to load. It intercepts network traffic to capture the raw data returned by Google's Search API. # Actor input Schema ## `searchQueries` (type: `array`): List of location names or addresses to search for on Google Earth. Each query returns ONE result (the primary location Google Earth identifies). For multiple franchise locations (e.g., 'KFC'), use specific queries like 'KFC New York', 'KFC Los Angeles'. ## `minDelayBetweenRequests` (type: `integer`): Minimum delay in seconds between queries to avoid rate limiting. ## `maxDelayBetweenRequests` (type: `integer`): Maximum delay in seconds between queries to avoid rate limiting. ## Actor input object example ```json { "searchQueries": [ "Eiffel Tower", "Grand Canyon", "Tokyo Tower", "Statue of Liberty" ], "minDelayBetweenRequests": 2, "maxDelayBetweenRequests": 5 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/google-earth-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 = {} # Run the Actor and wait for it to finish run = client.actor("crawlerbros/google-earth-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 '{}' | apify call crawlerbros/google-earth-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/google-earth-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Earth Scraper", "description": "Advanced Google Earth Scraper. Extracts precise 3D coordinates (Latitude, Longitude, Altitude), Place IDs, Addresses, and metadata from Google Earth.", "version": "1.0", "x-build-id": "gGbbsjpuiTel7OTo2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~google-earth-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-google-earth-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~google-earth-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-google-earth-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~google-earth-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-google-earth-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "minItems": 1, "maxItems": 100, "type": "array", "description": "List of location names or addresses to search for on Google Earth. Each query returns ONE result (the primary location Google Earth identifies). For multiple franchise locations (e.g., 'KFC'), use specific queries like 'KFC New York', 'KFC Los Angeles'.", "items": { "type": "string", "minLength": 1 }, "default": [ "Eiffel Tower" ] }, "minDelayBetweenRequests": { "title": "Minimum Delay Between Requests (seconds)", "minimum": 1, "maximum": 30, "type": "integer", "description": "Minimum delay in seconds between queries to avoid rate limiting.", "default": 2 }, "maxDelayBetweenRequests": { "title": "Maximum Delay Between Requests (seconds)", "minimum": 1, "maximum": 60, "type": "integer", "description": "Maximum delay in seconds between queries to avoid rate limiting.", "default": 5 } } }, "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 } } } } } } } } } } ```