# Google Maps Scraper — Reviews, Contacts & Leads \[No API Key] (`knotless_cadence/google-maps-scraper-pro`) Actor Extract YOUR local business data from Google Maps — names, addresses, phones, ratings, reviews, hours. Build lead lists for any city and industry. Export 10,000+ businesses to JSON/CSV. Perfect for sales prospecting and market research. Custom lead generation? $100 pilot — spinov001@gmail.com - **URL**: https://apify.com/knotless\_cadence/google-maps-scraper-pro.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Lead generation, Travel - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Extract business data from Google Maps at scale — names, ratings, reviews, phone numbers, addresses, and 10+ more fields. No coding required, just enter your search query and get structured results. ### Features - **13+ data fields per place** — name, rating, review count, address, phone, website, category, hours, price level, coordinates, place ID, photos count, and more - **Bulk search** — process multiple search queries in a single run - **Review extraction** — optionally scrape individual reviews with author, text, rating, and date - **Geo-coordinates** — extract latitude/longitude for every place - **Auto-scrolling** — automatically loads up to 100+ results per search query - **Multi-language support** — scrape in any language supported by Google Maps - **Export to JSON, CSV, Excel** — download results in any format via Apify ### Output Example ```json { "name": "Joe's Pizza", "rating": 4.6, "reviewCount": 12847, "address": "7 Carmine St, New York, NY 10014", "phone": "+1 212-366-1182", "website": "joespizzanyc.com", "category": "Pizza restaurant", "hours": "Open 24 hours", "priceLevel": "$$", "latitude": 40.7306, "longitude": -74.0021, "placeId": "ChIJLfySpTOlRIcR...", "photosCount": 3420, "url": "https://www.google.com/maps/place/...", "scrapedAt": "2026-03-18T12:00:00.000Z" } ```` ### Use Cases - **Lead generation** — build targeted lists of businesses in any city or niche (restaurants, dentists, gyms, agencies) - **Competitive analysis** — compare ratings, review counts, and pricing across competitors in a market - **Market research** — discover business density and saturation in specific geographic areas - **Local SEO monitoring** — track your own and competitor ratings and review volumes over time - **Real estate analysis** — map nearby amenities (schools, hospitals, shops) for property valuations ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | Array | `["restaurants in New York"]` | List of Google Maps search queries to process | | `maxResults` | Number | `100` | Maximum number of places to extract per query | | `language` | String | `"en"` | Language code for results (en, es, fr, de, etc.) | | `includeReviews` | Boolean | `false` | Whether to extract individual reviews per place | | `maxReviewsPerPlace` | Number | `5` | Maximum reviews to extract per place | ### Cost Estimation - \~$1.50 per 100 places (with Apify Playwright compute) - \~$3.00 per 100 places with reviews included - Free tier: up to 30 results with Apify free plan ### FAQ **Q: How many places can I scrape in one run?** A: You can extract up to 100+ places per search query, and run multiple queries simultaneously. A typical run of 500 places takes 15-20 minutes. **Q: Does it work for any country?** A: Yes. Google Maps Scraper works globally — just enter your search query in any language or set the `language` parameter. Supports 50+ countries. **Q: Can I get review text and ratings?** A: Yes. Set `includeReviews` to `true` and configure `maxReviewsPerPlace`. Each review includes author name, text, star rating, and date. # Actor input Schema ## `searchQueries` (type: `array`): List of search queries to run on Google Maps (e.g., 'dentists in Chicago', 'coffee shops near Times Square') ## `maxResults` (type: `integer`): Maximum number of places to extract per search query ## `language` (type: `string`): Language for Google Maps interface (ISO 639-1 code) ## `includeReviews` (type: `boolean`): Extract customer reviews for each place (slower but more data) ## `maxReviewsPerPlace` (type: `integer`): Maximum number of reviews to extract per place ## Actor input object example ```json { "searchQueries": [ "restaurants in New York" ], "maxResults": 100, "language": "en", "includeReviews": false, "maxReviewsPerPlace": 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 = { "searchQueries": [ "restaurants in New York" ] }; // Run the Actor and wait for it to finish const run = await client.actor("knotless_cadence/google-maps-scraper-pro").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 = { "searchQueries": ["restaurants in New York"] } # Run the Actor and wait for it to finish run = client.actor("knotless_cadence/google-maps-scraper-pro").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 '{ "searchQueries": [ "restaurants in New York" ] }' | apify call knotless_cadence/google-maps-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/google-maps-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Scraper — Reviews, Contacts & Leads [No API Key]", "description": "Extract YOUR local business data from Google Maps — names, addresses, phones, ratings, reviews, hours. Build lead lists for any city and industry. Export 10,000+ businesses to JSON/CSV. Perfect for sales prospecting and market research. Custom lead generation? $100 pilot — spinov001@gmail.com", "version": "1.0", "x-build-id": "Sao5NpwENAY70z35Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~google-maps-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-google-maps-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~google-maps-scraper-pro/runs": { "post": { "operationId": "runs-sync-knotless_cadence-google-maps-scraper-pro", "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/knotless_cadence~google-maps-scraper-pro/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-google-maps-scraper-pro", "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", "type": "array", "description": "List of search queries to run on Google Maps (e.g., 'dentists in Chicago', 'coffee shops near Times Square')", "default": [ "restaurants in New York" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of places to extract per search query", "default": 100 }, "language": { "title": "Language", "enum": [ "en", "es", "fr", "de", "it", "pt", "ru", "ja", "ko", "zh-CN", "ar", "hi", "tr", "pl", "nl" ], "type": "string", "description": "Language for Google Maps interface (ISO 639-1 code)", "default": "en" }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Extract customer reviews for each place (slower but more data)", "default": false }, "maxReviewsPerPlace": { "title": "Max Reviews Per Place", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of reviews to extract per place", "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 } } } } } } } } } } ```