# Google Maps Leads Scraper (`crawlerbros/google-maps-leads`) Actor Scrape business leads from Google Maps. Search by query and extract business name, category, address, phone, website, rating, review count, place ID, and coordinates. Optionally enrich with emails, phone numbers, and social links crawled from each business's website. - **URL**: https://apify.com/crawlerbros/google-maps-leads.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Lead generation, Real estate, SEO tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 8 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Leads Scraper Extract business leads from Google Maps at scale. Enrich each lead with emails, phone numbers, and social media links crawled directly from the business website. ### Features - Search Google Maps by any query ("restaurants in Brooklyn", "dentists Berlin") - Extract name, category, address, phone, website, rating, reviews, place ID, coordinates - Optional website crawl: emails, additional phones, Facebook / Instagram / LinkedIn / X / YouTube / TikTok - Global — works for any country/language via the `language` input ### Input | Field | Type | Description | |------|------|-------------| | `searchQueries` | array | Google Maps queries, e.g. `["coffee shops in Brooklyn"]` | | `maxPlacesPerSearch` | int | Cap per query (default 20, max 200) | | `language` | string | Two-letter language code (default `en`) | | `enrichWithWebsite` | bool | Crawl each business website for contact info (default `true`) | | `maxPagesPerWebsite` | int | Pages per site when enrichment on (default 3) | ### Output One dataset record per business with only the fields we could populate: `title`, `categoryName`, `address`, `phone`, `website`, `totalScore`, `reviewsCount`, `placeId`, `url`, `location`, `emails`, `websitePhones`, `socialLinks`, `contactPageUrl`, `scrapedAt`. ### FAQ **Q: Do I need a proxy?** A: Not for most searches. The actor retries with Apify Residential automatically if the first attempt fails. **Q: Why are some fields missing?** A: We omit fields we couldn't populate rather than emit `null`. Every field in your record has real data. **Q: Does enrichment slow things down?** A: Website crawl adds ~1-3s per business. Disable `enrichWithWebsite` for a Maps-only run. # Actor input Schema ## `category` (type: `string`): Predefined Google Maps business category (e.g., bakery, dentist, plumber, roofing, lawyer). Used when `keyword` is not provided. ## `keyword` (type: `string`): Custom keyword search. If provided, this takes priority over `category` (e.g., 'boutique coffee', 'pet grooming'). ## `state` (type: `string`): US state filter (2-letter code) or 'All' for nationwide. Used to scope the geographic search. ## `max_results` (type: `integer`): Maximum number of business leads to return (1–10,000). ## `extractEmails` (type: `boolean`): If on, crawls each business's website to extract email addresses and social media links. Adds ~3–10s per lead but provides much richer contact data. ## `searchQueries` (type: `array`): Optional array of free-text Google Maps queries. If provided, overrides the category/keyword+state combination. ## Actor input object example ```json { "category": "dentist", "keyword": "pizza", "state": "CA", "max_results": 10, "extractEmails": true } ```` # Actor output Schema ## `results` (type: `string`): Dataset with business leads. # 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 = { "category": "bakery", "state": "CA", "max_results": 10, "extractEmails": true }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/google-maps-leads").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 = { "category": "bakery", "state": "CA", "max_results": 10, "extractEmails": True, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/google-maps-leads").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 '{ "category": "bakery", "state": "CA", "max_results": 10, "extractEmails": true }' | apify call crawlerbros/google-maps-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/google-maps-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Leads Scraper", "description": "Scrape business leads from Google Maps. Search by query and extract business name, category, address, phone, website, rating, review count, place ID, and coordinates. Optionally enrich with emails, phone numbers, and social links crawled from each business's website.", "version": "1.0", "x-build-id": "9BQ5mGjKJeWyyxvum" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~google-maps-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-google-maps-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~google-maps-leads/runs": { "post": { "operationId": "runs-sync-crawlerbros-google-maps-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~google-maps-leads/run-sync": { "post": { "operationId": "run-sync-crawlerbros-google-maps-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "category": { "title": "Category", "type": "string", "description": "Predefined Google Maps business category (e.g., bakery, dentist, plumber, roofing, lawyer). Used when `keyword` is not provided." }, "keyword": { "title": "Keyword (optional — overrides category)", "type": "string", "description": "Custom keyword search. If provided, this takes priority over `category` (e.g., 'boutique coffee', 'pet grooming')." }, "state": { "title": "US State", "enum": [ "All", "AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "FL", "GA", "HI", "ID", "IL", "IN", "IA", "KS", "KY", "LA", "ME", "MD", "MA", "MI", "MN", "MS", "MO", "MT", "NE", "NV", "NH", "NJ", "NM", "NY", "NC", "ND", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX", "UT", "VT", "VA", "WA", "WV", "WI", "WY" ], "type": "string", "description": "US state filter (2-letter code) or 'All' for nationwide. Used to scope the geographic search.", "default": "CA" }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of business leads to return (1–10,000).", "default": 100 }, "extractEmails": { "title": "Extract Emails & Social Links", "type": "boolean", "description": "If on, crawls each business's website to extract email addresses and social media links. Adds ~3–10s per lead but provides much richer contact data.", "default": true }, "searchQueries": { "title": "Advanced: Raw Search Queries (power users)", "type": "array", "description": "Optional array of free-text Google Maps queries. If provided, overrides the category/keyword+state combination.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```