# Google Maps Business Scraper (`cirkit/google-maps-business-scraper`) Actor Fast and cheap Google Maps Business scraper. Pulls every business POI for any keyword and location: name, address, phone, website, hours, lat/lng, category, rating, place\_id. Direct API, no browser, scales to millions. - **URL**: https://apify.com/cirkit/google-maps-business-scraper.md - **Developed by:** [Crikit](https://apify.com/cirkit) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Business Scraper Pull every business place from Google Maps for any keyword and location. Fast, cheap, and built for scale. This Google Maps Business Scraper hits Google's own local search API directly with no browser, no headless Chrome, and returns full business data: name, address, phone, website, hours, lat/lng, category, rating, place_id, and more. It is the lowest-overhead way to extract Google Maps data on Apify. ### What you get per place | Field | Description | |-------|-------------| | `name` | Business name | | `category` | Primary Google Maps category | | `categories` | All Google Maps categories | | `address` | Street address | | `fullAddress` | Business name plus full postal address | | `neighborhood` | Local sub-locality, when present | | `latitude`, `longitude` | Decimal coordinates | | `phone`, `phoneE164` | Formatted and E.164 phone numbers | | `website` | Business website URL | | `rating` | Google rating, 0 to 5 | | `claimed` | Google Business Profile claimed flag | | `timezone` | IANA timezone string | | `description` | Editorial business description when Google provides one | | `hours` | Per-day open and close hours | | `photoUrl`, `photoCount` | Main photo URL and how many photos exist | | `placeId` | Canonical Google Places API ID, stable across runs | | `featureId` | Google internal hex feature ID | | `googleMapsUrl` | Direct link to the place on Google Maps | ### How it works The actor calls Google Maps' internal `search?tbm=map` RPC endpoint that powers maps.google.com itself. Each request returns up to 20 places. The actor paginates up to the per-geo cap of 200 places and de-duplicates by Place ID across all searches in a run. For larger areas than 200 places, send several searches with smaller radii or different center points. Each search runs independently. The HTTP client uses Chrome 124 TLS impersonation, so the scraper looks identical to a real browser on the wire and survives Google's rate limits at production speed. ### Input ```json { "searches": [ { "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000 }, { "query": "yoga studio", "location": "30.27,-97.74", "radiusM": 5000 } ], "maxResults": 200, "language": "en", "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` `location` accepts a place name string (auto-geocoded), a `"lat,lng"` pair, or a `{ "latitude": ..., "longitude": ... }` object. `radiusM` is in meters. Defaults to 10000. ### Pricing Flat fee per business place returned to your dataset. No surprise per-request charges, no separate fees for hours or photos. Cheaper than any browser-based Google Maps scraper on Apify because the API path is direct and the compute footprint is tiny. ### Use cases - Local SEO and reputation management - B2B sales and lead generation, especially when you need phone and website - Real estate site selection - Market and competitor analysis - Restaurant and hospitality data - Building local business directories ### Notes The actor uses Apify Residential proxy by default. Datacenter proxy works for very small jobs but Google will rate limit fast at scale. The `placeId` (e.g. `ChIJP8p2kJC1RIYR2qrGoXZtZCk`) is stable across runs and is the right key to join Google Maps Business Scraper output with the Google Places API or other Google Maps data. Google Maps caps each query plus geo window at roughly 200 results. To extract every coffee shop in a metro area, run several searches with overlapping radii and let the Place ID de-duplication handle the merge. ### Changelog - `0.1` Initial release. # Actor input Schema ## `searches` (type: `array`): A list of search objects, each with a keyword query and a location. Location can be a city/place name (auto-geocoded), a 'lat,lng' string, or a {latitude, longitude} object. Optional radiusM (meters, default 10000). ## `maxResults` (type: `integer`): Maximum number of unique places to extract across all searches. Default: 100. Use 0 or leave empty to take everything within the per-search 200-place cap. ## `language` (type: `string`): Two-letter UI language code. Use 'en' to get English category strings. ## `country` (type: `string`): Two-letter country code. Pin to the country you are searching in. Use 'us' for US. ## `proxyConfiguration` (type: `object`): Residential proxy is the recommended default to avoid Google rate limits at scale. ## Actor input object example ```json { "searches": [ { "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000 } ], "maxResults": 50, "language": "en", "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `items` (type: `string`): All places extracted in this run. ## `itemsCsv` (type: `string`): All places in CSV format. ## `itemsJson` (type: `string`): All places in JSON format. ## `consoleRun` (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 = { "searches": [ { "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000 } ], "maxResults": 50, "language": "en", "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("cirkit/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 = { "searches": [{ "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000, }], "maxResults": 50, "language": "en", "country": "us", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("cirkit/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 '{ "searches": [ { "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000 } ], "maxResults": 50, "language": "en", "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call cirkit/google-maps-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cirkit/google-maps-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Business Scraper", "description": "Fast and cheap Google Maps Business scraper. Pulls every business POI for any keyword and location: name, address, phone, website, hours, lat/lng, category, rating, place_id. Direct API, no browser, scales to millions.", "version": "0.1", "x-build-id": "Nt18ZKHvUEm84UfPY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cirkit~google-maps-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cirkit-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/cirkit~google-maps-business-scraper/runs": { "post": { "operationId": "runs-sync-cirkit-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/cirkit~google-maps-business-scraper/run-sync": { "post": { "operationId": "run-sync-cirkit-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": [ "searches" ], "properties": { "searches": { "title": "Searches", "type": "array", "description": "A list of search objects, each with a keyword query and a location. Location can be a city/place name (auto-geocoded), a 'lat,lng' string, or a {latitude, longitude} object. Optional radiusM (meters, default 10000).", "default": [ { "query": "coffee shop", "location": "Austin, TX", "radiusM": 10000 } ] }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of unique places to extract across all searches. Default: 100. Use 0 or leave empty to take everything within the per-search 200-place cap.", "default": 100 }, "language": { "title": "Language (hl)", "type": "string", "description": "Two-letter UI language code. Use 'en' to get English category strings.", "default": "en" }, "country": { "title": "Country (gl)", "type": "string", "description": "Two-letter country code. Pin to the country you are searching in. Use 'us' for US.", "default": "us" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is the recommended default to avoid Google rate limits at scale.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```