# Google Maps Business Scraper (`seeb/google-maps-business-scraper`) Actor Fast Google Maps lead scraper for clean business lists. Extract names, categories, ratings, addresses, phone numbers, websites, and Google Maps URLs from keyword and location searches. - **URL**: https://apify.com/seeb/google-maps-business-scraper.md - **Developed by:** [Techionik](https://apify.com/seeb) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 10 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.00 / 1,000 business 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 Business Scraper Fast Google Maps lead scraper for clean local business lists. Enter business keywords and locations. The actor returns a simple, sales-ready dataset with business names, categories, ratings, addresses, phone numbers, websites, and Google Maps URLs. ### Why This Actor Is Fast Most Google Maps scrapers open every business listing page one by one. That is slow and expensive. This actor uses a faster direct map-response parser. It loads each Google Maps search, captures the structured map results response, and parses business records directly. This makes it suitable for high-volume lead discovery where speed and compute cost matter. In testing, a 6-keyword New York run produced 130 business rows in about 16 seconds of actor runtime. ### Best For - Lead generation agencies - Local SEO prospecting - Sales teams building local business lists - Market and competitor research - CRM enrichment - Business directory creation - Fast keyword/location lead discovery ### Features - Fast direct Google Maps response parsing - Multiple keywords and locations in one run - Clean lead-list dataset without unnecessary technical fields - Business name, category, rating, address, phone, website, and Google Maps URL - Phone number extraction when available in map results - Website extraction when available in map results - Configurable result limit per keyword/location - Configurable parallel searches - Optional sponsored-result inclusion - CSV, Excel, JSON, XML, and API-ready output - Run summary saved to key-value storage ### Input | Field | Type | Required | Description | | ------------------------- | ------- | -------- | --------------------------------------------------------------------------------------- | | `keywords` | array | Yes | Business types or services, such as `dentist`, `coffee shop`, `plumber`, or `law firm`. | | `locations` | array | Yes | Cities, regions, neighborhoods, or postal areas. | | `maxResultsPerSearch` | integer | No | Maximum businesses to save per keyword/location pair. Default: `50`. | | `maxConcurrency` | integer | No | Parallel keyword/location searches. Default: `3`, maximum: `6`. | | `language` | string | No | Google Maps language code. Default: `en`. | | `includeSearchMetadata` | boolean | No | Adds keyword and location fields to each result. Default: `true`. | | `includeSponsoredResults` | boolean | No | Includes sponsored listings when Google returns them. Default: `true`. | ### Example Input ```json { "keywords": ["dentist", "coffee shop", "plumber", "gym", "real estate agent", "law firm"], "locations": ["New York, USA"], "maxResultsPerSearch": 25, "maxConcurrency": 3, "language": "en", "includeSearchMetadata": true, "includeSponsoredResults": true } ```` ### Output Each dataset item uses a clean lead-list structure: ```json { "searchKeyword": "plumber", "searchLocation": "New York, USA", "name": "RR Plumbing Roto-Rooter", "category": "Plumber", "rating": 4.8, "address": "450 7th Ave Ste B, New York, NY 10123, United States", "phone": "+1 212-687-1215", "website": "https://www.rotorooter.com/manhattan/", "googleMapsUrl": "https://www.google.com/maps/search/?api=1&query=RR%20Plumbing%20Roto-Rooter" } ``` ### Output Fields | Field | Description | | ---------------- | ------------------------------------------------------- | | `searchKeyword` | Keyword used for the search, if metadata is enabled. | | `searchLocation` | Location used for the search, if metadata is enabled. | | `name` | Business name from Google Maps. | | `category` | Primary business category. | | `rating` | Google Maps rating when available. | | `address` | Business address when available. | | `phone` | Phone number when Google exposes it in map results. | | `website` | Business website when Google exposes it in map results. | | `googleMapsUrl` | Google Maps search URL for the business. | ### Performance Performance depends on Google Maps response speed, location breadth, and result availability. In testing: - 130 rows extracted in about 16 seconds of actor runtime - 124/130 rows included phone numbers - 113/130 rows included websites - 130/130 rows included names, ratings, and Maps URLs Google may return around 20-25 strong results per keyword/location response. For larger datasets, use multiple keywords, multiple nearby locations, or neighborhood-level searches. ### Limitations - Phone numbers and websites are only returned when Google exposes them in map results. - This actor is optimized for fast lead lists, not full place-detail pages or review scraping. - Google Maps results vary by language, region, time, and ranking changes. - Very broad locations can return mixed regional results. - Google may rate limit or change response structures. - Users are responsible for complying with Google Maps terms and applicable laws. ### Recommended Pricing Recommended Apify pricing model: paid per result. Suggested price: `$4 per 1,000 results`. Reason: customers are buying usable local business leads, not browser waiting time. Per-result pricing is simple, marketplace-friendly, and fair because buyers pay only for saved rows. ### Marketplace Text Short description: Fast Google Maps lead scraper for clean business lists with names, categories, ratings, addresses, phones, websites, and Maps URLs. Long description: Build local business lead lists from Google Maps keyword and location searches. This actor is optimized for speed and clean output, using direct map-response parsing instead of opening every business page. It is useful for sales prospecting, local SEO research, agency lead generation, competitor research, and CRM enrichment. Use cases: local lead generation, sales prospecting, local SEO audits, market research, competitor lists, business directory creation, CRM enrichment. Search keywords: `google maps scraper`, `business leads`, `local business scraper`, `lead generation`, `local SEO`, `sales leads`, `business data`, `maps scraper`, `phone number scraper`, `website scraper`, `CRM enrichment`, `local prospecting`. # Actor input Schema ## `keywords` (type: `array`): Business types, niches, or services to search for. Add one keyword per line. ## `locations` (type: `array`): Cities, regions, neighborhoods, or postal areas to search in. Add one location per line. ## `maxResultsPerSearch` (type: `integer`): Maximum number of businesses to save for each keyword and location combination. ## `maxConcurrency` (type: `integer`): How many keyword/location searches can be processed in parallel. Use 2-3 for stability, up to 6 for faster runs with more memory. ## `language` (type: `string`): Language code used for Google Maps results and labels. ## `includeSearchMetadata` (type: `boolean`): Adds searchKeyword and searchLocation to every dataset item. ## `includeSponsoredResults` (type: `boolean`): Includes Google Maps sponsored listings when they appear in the map results. ## Actor input object example ```json { "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en", "includeSearchMetadata": true, "includeSponsoredResults": true } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `summary` (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 = { "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("seeb/google-maps-business-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 = { "keywords": [ "dentist", "coffee shop", ], "locations": ["New York, USA"], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en", } # Run the Actor and wait for it to finish run = client.actor("seeb/google-maps-business-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 '{ "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en" }' | apify call seeb/google-maps-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seeb/google-maps-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Business Scraper", "description": "Fast Google Maps lead scraper for clean business lists. Extract names, categories, ratings, addresses, phone numbers, websites, and Google Maps URLs from keyword and location searches.", "version": "1.2", "x-build-id": "MtNUxeABBPLGfxyI5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seeb~google-maps-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seeb-google-maps-business-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seeb~google-maps-business-scraper/runs": { "post": { "operationId": "runs-sync-seeb-google-maps-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seeb~google-maps-business-scraper/run-sync": { "post": { "operationId": "run-sync-seeb-google-maps-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "locations" ], "properties": { "keywords": { "title": "Business keywords", "type": "array", "description": "Business types, niches, or services to search for. Add one keyword per line.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities, regions, neighborhoods, or postal areas to search in. Add one location per line.", "items": { "type": "string" } }, "maxResultsPerSearch": { "title": "Max results per keyword/location", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of businesses to save for each keyword and location combination.", "default": 50 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many keyword/location searches can be processed in parallel. Use 2-3 for stability, up to 6 for faster runs with more memory.", "default": 3 }, "language": { "title": "Google Maps language", "type": "string", "description": "Language code used for Google Maps results and labels.", "default": "en" }, "includeSearchMetadata": { "title": "Include search metadata", "type": "boolean", "description": "Adds searchKeyword and searchLocation to every dataset item.", "default": true }, "includeSponsoredResults": { "title": "Include sponsored results", "type": "boolean", "description": "Includes Google Maps sponsored listings when they appear in the map results.", "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 } } } } } } } } } } ```