# Google Maps Business Data Extractor (`second_coming/google-maps-extractor`) Actor Scrape business names, addresses, phone numbers, websites, emails, reviews, ratings, and opening hours from Google Maps by location and category. Local lead generation tool. - **URL**: https://apify.com/second\_coming/google-maps-extractor.md - **Developed by:** [Richard P](https://apify.com/second_coming) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 Data Extractor [![Actor on Apify Store](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com/) [![Python](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/) An [Apify Actor](https://apify.com/actors) for extracting business data from Google Maps. Collects business names, addresses, phone numbers, websites, ratings, reviews, opening hours, categories, and coordinates. ### Features - **Two extraction modes:** - **Google Places API** (recommended) — full structured data including hours, photos, coordinates, and price range - **Public HTML scraping** — best-effort extraction from Google Maps search pages (JSON-LD, meta tags, embedded state) - **Multi-query support** — run multiple searches in a single execution (e.g., "pizza in New York", "dentist in Los Angeles") - **Rate-limited** — 2-second delay between requests to avoid rate limiting - **Graceful abort** — clean shutdown when stop signal is received - **Apify dataset output** — results pushed to dataset as they're collected ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `queries` | `array` | Yes | List of search queries. Each item has a `search` string (required) and optional `location` string. | | `maxResults` | `integer` | No | Max businesses to extract per query (default: 50, max: 500). | | `apiKey` | `string` | No | Google Places API key. **Strongly recommended** for full data. When empty, falls back to HTML scraping. | #### Example Input ```json { "queries": [ {"search": "pizza", "location": "New York"}, {"search": "dentist", "location": "Los Angeles"}, {"search": "coffee shop", "location": "Chicago"} ], "maxResults": 50, "apiKey": "" } ```` ### Output Each dataset item is a business with these fields: | Field | Type | Description | |-------|------|-------------| | `name` | `string` | Business name | | `address` | `string` | Full street address | | `phone` | `string` | Phone number | | `website` | `string` | Website URL | | `rating` | `number` | Star rating (0.0–5.0) | | `totalReviews` | `integer` | Number of reviews | | `priceRange` | `string` | Price level (e.g., `"$"`, `"$$"`, `"$$$"`) | | `categories` | `array` | Business type categories (e.g., `["restaurant", "food"]`) | | `latitude` | `number` | Latitude coordinate | | `longitude` | `number` | Longitude coordinate | | `hours` | `array` | Opening hours by day | | `placeId` | `string` | Google Place ID (API mode only) | | `image` | `string` | Image URL (may be available) | | `source` | `string` | Data source: `"places_api"` or `"jsonld"` / `"meta"` / `"html_body"` | | `scrapedAt` | `string` | ISO 8601 timestamp of extraction | ### Usage #### Local Development ```bash ## Install dependencies python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ## Run with Apify CLI apify run --purge ``` #### Deploy to Apify Cloud ```bash apify push ``` ### Limitations #### HTML Scraping Mode (without API Key) Google Maps is a heavily JavaScript-rendered application. The static HTML that httpx fetches contains limited structured data. In HTML mode: - **JSON-LD** may be present for featured or nearby businesses, but rarely for all search results - **Meta tags** provide basic Open Graph data (usually for a single business) - **Embedded scripts** may contain initialization state with some business data **Result**: HTML scraping typically finds 0–5 businesses per query. For production use, **always provide a Google Places API key**. #### Places API Mode - Requires a [Google Cloud API key](https://console.cloud.google.com/apis/credentials) with the Places API enabled - Free tier: $200/month credit (roughly 40,000 text searches/month) - API responses are limited to 60 results per query (20 per page, 3 pages max via `next_page_token`) - The text search endpoint doesn't return phone numbers or websites directly — those require a follow-up Place Details call ### Getting a Google Places API Key 1. Go to [Google Cloud Console](https://console.cloud.google.com/) 2. Create a project (or select existing) 3. Enable the **Places API** 4. Create an API key under **Credentials** 5. (Optional) Restrict the key to the Places API only 6. Pass the key as `apiKey` in the Actor input ### License MIT # Actor input Schema ## `queries` (type: `array`): List of search queries to run on Google Maps. Each query has a 'search' term and optional 'location'. ## `maxResults` (type: `integer`): Maximum number of businesses to extract per search query. When using the Places API, pagination follows the API's next\_page\_token. When using HTML scraping, this is best-effort. ## `apiKey` (type: `string`): Optional Google Places API key. When provided, the Actor uses the official Places API for full structured data (name, address, phone, website, hours, rating, reviews, photos). When empty, the Actor falls back to public HTML scraping of maps.google.com, which yields much more limited results because Google Maps is JavaScript-rendered. ## Actor input object example ```json { "queries": [ { "search": "pizza in New York", "location": "" }, { "search": "dentist", "location": "Los Angeles" } ], "maxResults": 50, "apiKey": "" } ``` # 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 = { "queries": [ { "search": "pizza in New York", "location": "" }, { "search": "dentist", "location": "Los Angeles" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("second_coming/google-maps-extractor").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 = { "queries": [ { "search": "pizza in New York", "location": "", }, { "search": "dentist", "location": "Los Angeles", }, ] } # Run the Actor and wait for it to finish run = client.actor("second_coming/google-maps-extractor").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 '{ "queries": [ { "search": "pizza in New York", "location": "" }, { "search": "dentist", "location": "Los Angeles" } ] }' | apify call second_coming/google-maps-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=second_coming/google-maps-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Business Data Extractor", "description": "Scrape business names, addresses, phone numbers, websites, emails, reviews, ratings, and opening hours from Google Maps by location and category. Local lead generation tool.", "version": "0.0", "x-build-id": "1a5hVErnDne9vYzl9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/second_coming~google-maps-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-second_coming-google-maps-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/second_coming~google-maps-extractor/runs": { "post": { "operationId": "runs-sync-second_coming-google-maps-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/second_coming~google-maps-extractor/run-sync": { "post": { "operationId": "run-sync-second_coming-google-maps-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of search queries to run on Google Maps. Each query has a 'search' term and optional 'location'.", "items": { "type": "object", "properties": { "search": { "title": "Search Term", "type": "string", "description": "What to search for (e.g., 'pizza', 'dentist', 'plumber', 'coffee shop')" }, "location": { "title": "Location", "type": "string", "description": "City, neighborhood, or region to search in (e.g., 'New York', 'Los Angeles'). Can be empty if the search term already includes a location." } }, "required": [ "search" ] } }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of businesses to extract per search query. When using the Places API, pagination follows the API's next_page_token. When using HTML scraping, this is best-effort.", "default": 50 }, "apiKey": { "title": "Google Places API Key", "type": "string", "description": "Optional Google Places API key. When provided, the Actor uses the official Places API for full structured data (name, address, phone, website, hours, rating, reviews, photos). When empty, the Actor falls back to public HTML scraping of maps.google.com, which yields much more limited results because Google Maps is JavaScript-rendered.", "default": "" } } }, "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 } } } } } } } } } } ```