# Google Maps Scraper: Places, Contacts & Reviews (`aiscraperdev/google-maps-comprehensive-scraper`) Actor Extract highly detailed data from Google Maps at high speed. Scrape business names, direct website URLs, phone numbers, opening hours, star ratings, and exact geographic coordinates. - **URL**: https://apify.com/aiscraperdev/google-maps-comprehensive-scraper.md - **Developed by:** [Randeep Dhillon](https://apify.com/aiscraperdev) (community) - **Categories:** Lead generation, SEO tools, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.00 / 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 Scraper: Places, Contacts & Reviews 📍 The most robust and clean Google Maps data extractor on the market. Built for speed and accuracy, this scraper bypasses Google's UI artifacts and tracking redirects to deliver pristine, ready-to-use JSON data for your CRM, lead generation, or local SEO analysis. ### 🔥 Key Features * **Universal Extraction:** Seamlessly scrapes data across different Google Maps layouts (Restaurants, Hotels, Plumbers, Retail, etc.). * **Clean Data Guarantee:** Automatically strips out hidden Google icon fonts and UI artifacts. * **Direct URLs:** Bypasses Google's `/url?q=` tracking redirects to give you the actual, direct website and menu links. * **Granular Location Data:** Parses full addresses into City, State, and Zip, and extracts exact Latitude/Longitude coordinates. * **Opening Hours:** Delivers a cleanly formatted array of daily opening hours. * **High-Speed & Resource Efficient:** Optimized to block unnecessary heavy image and map tile rendering, saving you compute time. ### 🎯 Use Cases * **B2B Lead Generation:** Build hyper-targeted lists of local businesses with direct phone numbers and websites. * **Local SEO & Reputation Management:** Track review counts and average star ratings for competitors in specific neighborhoods. * **Market Research & Real Estate:** Map out the density of specific business categories (e.g., "coffee shops in Brooklyn") using exact geographic coordinates. * **Travel & Hospitality Aggregation:** Extract hotel star ratings and descriptions effortlessly. ### 📥 Input Configuration | Field | Type | Description | | ----- | ---- | ----------- | | `searchStringsArray` | Array | The keywords you want to search for (e.g., `["restaurant", "plumber"]`). | | `locationQuery` | String | The geographic area to search within (e.g., `"New York, USA"`, `"London"`). | | `maxCrawledPlacesPerSearch` | Number | Limit the number of results per search keyword. | | `language` | String | Two-letter language code (e.g., `en`, `es`). | ### 📤 Sample Output The scraper provides highly structured JSON output perfect for immediate database ingestion. ```json { "title": "Gramercy Tavern", "categoryName": "New American restaurant", "address": "42 E 20th St, New York, NY 10003", "city": "New York", "state": "NY", "postalCode": "10003", "location": { "lat": 40.7384555, "lng": -73.9885064 }, "phone": "(212) 477-0777", "phoneUnformatted": "2124770777", "website": "[https://www.gramercytavern.com/](https://www.gramercytavern.com/)", "totalScore": 4.6, "reviewsCount": 4882, "price": "$100+", "openingHours": [ { "day": "Monday", "hours": "11:30 AM–10:30 PM" } ] } # Actor input Schema ## `searchStringsArray` (type: `array`): Array of keywords to search (e.g., 'restaurant', 'laundromat'). ## `locationQuery` (type: `string`): City, State, or Area to search within. ## `language` (type: `string`): Two-letter language code for the Google Maps interface (e.g., 'en', 'es'). ## `maxCrawledPlacesPerSearch` (type: `integer`): Maximum number of places to scrape per search query. ## `scrapeContacts` (type: `boolean`): Enable to extract emails and phone numbers if a website is provided. ## `scrapeSocialMediaProfiles` (type: `object`): Toggle which social media profiles to attempt to scrape from the business. ## `includeWebResults` (type: `boolean`): Include related web search results from Google. ## `scrapeReviewsPersonalData` (type: `boolean`): Include personal reviewer data (names, profile links) in the output. ## Actor input object example ```json { "searchStringsArray": [ "restaurant" ], "locationQuery": "New York, USA", "language": "en", "maxCrawledPlacesPerSearch": 50, "scrapeContacts": false, "scrapeSocialMediaProfiles": { "facebooks": false, "instagrams": false, "tiktoks": false, "twitters": false, "youtubes": false }, "includeWebResults": false, "scrapeReviewsPersonalData": true } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchStringsArray": [ "restaurant" ], "locationQuery": "New York, USA" }; // Run the Actor and wait for it to finish const run = await client.actor("aiscraperdev/google-maps-comprehensive-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 = { "searchStringsArray": ["restaurant"], "locationQuery": "New York, USA", } # Run the Actor and wait for it to finish run = client.actor("aiscraperdev/google-maps-comprehensive-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 '{ "searchStringsArray": [ "restaurant" ], "locationQuery": "New York, USA" }' | apify call aiscraperdev/google-maps-comprehensive-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aiscraperdev/google-maps-comprehensive-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Scraper: Places, Contacts & Reviews", "description": "Extract highly detailed data from Google Maps at high speed. Scrape business names, direct website URLs, phone numbers, opening hours, star ratings, and exact geographic coordinates.", "version": "0.0", "x-build-id": "4DvRngBe2FQh2QerG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aiscraperdev~google-maps-comprehensive-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aiscraperdev-google-maps-comprehensive-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aiscraperdev~google-maps-comprehensive-scraper/runs": { "post": { "operationId": "runs-sync-aiscraperdev-google-maps-comprehensive-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aiscraperdev~google-maps-comprehensive-scraper/run-sync": { "post": { "operationId": "run-sync-aiscraperdev-google-maps-comprehensive-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchStringsArray", "locationQuery" ], "properties": { "searchStringsArray": { "title": "Search Terms", "type": "array", "description": "Array of keywords to search (e.g., 'restaurant', 'laundromat').", "items": { "type": "string" } }, "locationQuery": { "title": "Location Query", "type": "string", "description": "City, State, or Area to search within." }, "language": { "title": "Language Code", "type": "string", "description": "Two-letter language code for the Google Maps interface (e.g., 'en', 'es').", "default": "en" }, "maxCrawledPlacesPerSearch": { "title": "Max Places Per Search", "type": "integer", "description": "Maximum number of places to scrape per search query.", "default": 50 }, "scrapeContacts": { "title": "Scrape Contacts", "type": "boolean", "description": "Enable to extract emails and phone numbers if a website is provided.", "default": false }, "scrapeSocialMediaProfiles": { "title": "Scrape Social Media Profiles", "type": "object", "description": "Toggle which social media profiles to attempt to scrape from the business.", "default": { "facebooks": false, "instagrams": false, "tiktoks": false, "twitters": false, "youtubes": false } }, "includeWebResults": { "title": "Include Web Results", "type": "boolean", "description": "Include related web search results from Google.", "default": false }, "scrapeReviewsPersonalData": { "title": "Scrape Reviews Personal Data", "type": "boolean", "description": "Include personal reviewer data (names, profile links) in the output.", "default": true } } }, "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 } } } } } } } } } } ```