# Quick Google Map Scraper (`haya_emaan/quick-google-map-scraper`) Actor Extract businesses from Google Maps by search term and location — coffee shops, restaurants, dentists, and more. Gets name, address, phone, website, rating, review count, and coordinates. Export results as CSV, JSON, or Excel. - **URL**: https://apify.com/haya\_emaan/quick-google-map-scraper.md - **Developed by:** [Summiya bibi](https://apify.com/haya_emaan) (community) - **Categories:** Lead generation, Other, E-commerce - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Quick Google Map Scraper 📍 Extract business data from Google Maps in minutes — no coding, no API key, no Google account needed. Just type what you're looking for (e.g. **"coffee shops"**) and where (e.g. **"Chicago"**), hit Start, and get a clean, structured list of businesses ready to export as **CSV, Excel, or JSON**. ### What can you use it for? - **Lead generation** — build prospect lists of local businesses with phone numbers and websites for sales outreach - **Market research** — analyze competitor density, ratings, and reviews in any city or neighborhood - **Local SEO** — monitor listings and track how businesses rank in your area - **Data enrichment** — add phone numbers, websites, and addresses to your CRM ### How to use it 1. Click **Try for free** (new Apify accounts get free monthly usage credit) 2. Enter your **search term** — the type of business you want (e.g. `dentists`, `gyms`) 3. Enter the **location** — city, area, or address (e.g. `Miami, FL`) 4. Set the **maximum number of results** 5. Click **Start**, then download your data from the results tab ### Input The actor takes three simple input fields: | Field | Type | Required | Example | Description | |---|---|---|---|---| | `keyword` | string | ✅ | coffee shops | What to search for — business type or keyword | | `location` | string | ✅ | Chicago, IL | City, area, or country to search in | | `maxItems` | number | ❌ | 50 | Maximum number of places to extract | ### Output Each place is saved as one item in the dataset. Example of the fields returned: | Field | Example value | |---|---| | name | Intelligentsia Coffee | | address | 53 W Jackson Blvd, Chicago, IL 60604 | | phone | +1 312-253-0594 | | website | https://www.intelligentsia.com | | rating | 4.6 | | reviewsCount | 2103 | | category | Coffee shop | | latitude | 41.8781 | | longitude | -87.6298 | | url | Google Maps link to the listing | Download the full dataset as CSV, Excel, JSON, or HTML with one click, or fetch it via the Apify API. ### Pricing Simple, transparent **pay-per-result** pricing: you're charged a small fixed amount for each business extracted, and platform usage is included — no surprise compute costs. Example: extracting 1,000 coffee shops costs about **$6**. Small test runs cost just a few cents. ### Tips for best results - **Be specific with locations** — `dentists in Brooklyn, NY` works better than `dentists in New York` for complete coverage of an area - **Split large cities into neighborhoods** — Google Maps limits how many results a single search returns, so several smaller searches capture more businesses than one broad one - **Use distinct search terms** — `restaurant`, `cafe`, and `bar` as separate runs find more places than near-duplicate terms - **Start small** — test with 10–20 results first to check the output matches your needs before running large extractions ### FAQ **Do I need a Google account or API key?** No. The scraper works out of the box — just enter your search and run. **Is scraping Google Maps legal?** The scraper extracts only publicly available business information (the same data anyone sees on Google Maps). You are responsible for using the data in compliance with applicable laws and regulations in your jurisdiction. **Can I run it on a schedule?** Yes — use Apify's built-in Schedules to run it daily, weekly, or monthly and keep your data fresh. **Can I integrate it with other tools?** Yes — connect it to Zapier, Make, Google Sheets, and more via Apify integrations, or call it programmatically through the Apify API. ### Feedback & support Found a bug or want a new feature (like email extraction)? Open an issue on the **Issues** tab — I actively maintain this actor and respond quickly. # Actor input Schema ## `keyword` (type: `string`): What to search for, e.g. 'coffee shops', 'dentist', 'gyms' ## `location` (type: `string`): City or area, e.g. 'Berlin' or 'Brooklyn, NY' ## `maxItems` (type: `integer`): Stop after collecting this many places (Google Maps usually caps a search at ~120) ## Actor input object example ```json { "keyword": "restaurants", "location": "New York", "maxItems": 50 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("haya_emaan/quick-google-map-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 = {} # Run the Actor and wait for it to finish run = client.actor("haya_emaan/quick-google-map-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 '{}' | apify call haya_emaan/quick-google-map-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haya_emaan/quick-google-map-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Quick Google Map Scraper", "description": "Extract businesses from Google Maps by search term and location — coffee shops, restaurants, dentists, and more. Gets name, address, phone, website, rating, review count, and coordinates. Export results as CSV, JSON, or Excel.", "version": "0.0", "x-build-id": "qzhtBqTOhRiKdquF9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haya_emaan~quick-google-map-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haya_emaan-quick-google-map-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/haya_emaan~quick-google-map-scraper/runs": { "post": { "operationId": "runs-sync-haya_emaan-quick-google-map-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/haya_emaan~quick-google-map-scraper/run-sync": { "post": { "operationId": "run-sync-haya_emaan-quick-google-map-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "keyword": { "title": "Search keyword", "type": "string", "description": "What to search for, e.g. 'coffee shops', 'dentist', 'gyms'", "default": "restaurants" }, "location": { "title": "Location", "type": "string", "description": "City or area, e.g. 'Berlin' or 'Brooklyn, NY'", "default": "New York" }, "maxItems": { "title": "Max places to scrape", "minimum": 1, "maximum": 120, "type": "integer", "description": "Stop after collecting this many places (Google Maps usually caps a search at ~120)", "default": 50 } } }, "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 } } } } } } } } } } ```