# ✨ Google Maps Scraper (`damilo/google-maps-scraper`) Actor πŸ“ Scrape business listings from Google Maps by keyword and location. Extract names, addresses, phone numbers, websites, ratings, coordinates, and more β€” perfect for lead generation, local SEO, and competitor research. - **URL**: https://apify.com/damilo/google-maps-scraper.md - **Developed by:** [Imad](https://apify.com/damilo) (community) - **Categories:** Lead generation, Travel - **Stats:** 294 total users, 12 monthly users, 97.8% runs succeeded, 10 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $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 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 ## πŸ—ΊοΈ Google Maps Scraper βœ… If this actor saved you time, a ⭐⭐⭐⭐⭐ review helps me keep improving! Scrape local business listings from Google Maps by keyword and location. Get structured data like names, addresses, phone numbers, websites, ratings, and more β€” all without needing a Google Maps API key. --- ### πŸ“š Table of Contents - [Features](#features) - [Input Parameters](#input-parameters) - [Example Input](#example-input) - [Output](#output) - [Limitations & Notes](#limitations--notes) - [Why Choose This Scraper?](#why-choose-this-scraper) - [Support](#support) --- ### πŸš€ Features - Search by keyword and city, town, or address - Get rich business data: phone, address, rating, hours, etc. - Works worldwide in over 100 languages - No need for a Google API key - Structured output ready for download or integration - Paginated scraping for up to hundreds of listings - Supports optional Place ID and CID targeting --- ### 🧩 Input Parameters ![Inputs](./assets/input.png) | Field | Type | Description | | ------------- | ------- | -------------------------------------------- | | `query` | string | What to search for (e.g. `"coffee shops"`) | | `location` | string | Where to search (e.g. `"London"`) | | `place_id` | string | (Optional) Google Maps Place ID | | `cid` | string | (Optional) Google Maps CID | | `language` | string | Language for results (default: `"en"`) | | `max_results` | integer | How many listings to scrape (default: `100`) | --- ### πŸ’‘ Example Input ```json { "query": "bookstore", "location": "Berlin", "language": "de", "max_results": 50 } ```` *** ### πŸ“¦ Output Each result includes: ![Output](./assets/output.png) - `title` – Business name - `address` – Full address - `phoneNumber` – Contact number - `website` – Business website - `latitude`, `longitude` – Location coordinates - `rating`, `ratingCount` – Review data - `openingHours` – Weekly opening hours - `types`, `type` – Business categories - `thumbnailUrl` – Image from Google Maps - `placeId`, `cid` – Google’s internal identifiers Data is saved to the Apify dataset. You can download it in formats like JSON, CSV, Excel, or access it via API. *** ### ⚠️ Limitations & Notes - Avoid overly generic queries like β€œrestaurant” without a specific location β€” Google may return restricted or incomplete data. - Be mindful of scraping volumes to avoid being rate-limited by the data source. *** ### 🌟 Why Choose This Scraper? - Easy to use β€” no setup or coding required - Great for lead generation and local SEO - Much faster than collecting data manually - Doesn’t require a Google Maps API key - Output is clean, reliable, and structured - Built on Apify for automation and scalability *** ### πŸ›Ÿ Support If you have questions, feature requests, or run into issues, feel free to reach out through the **"Issues"** section. If this actor saved you time, a ⭐⭐⭐⭐⭐ review would mean a lot! *** Happy scraping! # Actor input Schema ## `query` (type: `string`): Define search query ## `location` (type: `string`): Define location ## `place_id` (type: `string`): Google Maps Place ID for the location ## `cid` (type: `string`): Search by Google Maps CID (Customer Identification) ## `language` (type: `string`): The language to search in. ## `max_results` (type: `integer`): The maximum number of results to scrape. ## Actor input object example ```json { "query": "restaurant", "location": "San Francisco, CA, USA", "language": "en", "max_results": 100 } ``` # 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 = { "query": "restaurant", "location": "San Francisco, CA, USA", "language": "en", "max_results": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("damilo/google-maps-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "restaurant", "location": "San Francisco, CA, USA", "language": "en", "max_results": 100, } # Run the Actor and wait for it to finish run = client.actor("damilo/google-maps-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "restaurant", "location": "San Francisco, CA, USA", "language": "en", "max_results": 100 }' | apify call damilo/google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=damilo/google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✨ Google Maps Scraper", "description": "πŸ“ Scrape business listings from Google Maps by keyword and location. Extract names, addresses, phone numbers, websites, ratings, coordinates, and more β€” perfect for lead generation, local SEO, and competitor research.", "version": "0.0", "x-build-id": "VNtbxMQbdlQdDj2Ce" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/damilo~google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-damilo-google-maps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/damilo~google-maps-scraper/runs": { "post": { "operationId": "runs-sync-damilo-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/damilo~google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-damilo-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query", "location" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "Define search query" }, "location": { "title": "Location", "type": "string", "description": "Define location" }, "place_id": { "title": "Place ID", "type": "string", "description": "Google Maps Place ID for the location" }, "cid": { "title": "CID", "type": "string", "description": "Search by Google Maps CID (Customer Identification)" }, "language": { "title": "Language", "enum": [ "af", "ak", "sq", "am", "ar", "hy", "az", "eu", "be", "bem", "bn", "bh", "xx-bork", "bs", "br", "bg", "km", "ca", "chr", "ny", "zh-cn", "zh-tw", "co", "hr", "cs", "da", "nl", "xx-elmer", "en", "eo", "et", "ee", "fo", "tl", "fi", "fr", "fy", "gaa", "gl", "ka", "de", "el", "gn", "gu", "xx-hacker", "ht", "ha", "haw", "iw", "hi", "hu", "is", "ig", "id", "ia", "ga", "it", "ja", "jw", "kn", "kk", "rw", "rn", "xx-klingon", "kg", "ko", "kri", "ku", "ckb", "ky", "lo", "la", "lv", "ln", "lt", "loz", "lg", "ach", "mk", "mg", "ms", "ml", "mt", "mi", "mr", "mfe", "mo", "mn", "sr-ME", "ne", "pcm", "nso", "no", "nn", "oc", "or", "om", "ps", "fa", "xx-pirate", "pl", "pt", "pt-br", "pt-pt", "pa", "qu", "ro", "rm", "nyn", "ru", "gd", "sr", "sh", "st", "tn", "crs", "sn", "sd", "si", "sk", "sl", "so", "es", "es-419", "su", "sw", "sv", "tg", "ta", "tt", "te", "th", "ti", "to", "lua", "tum", "tr", "tk", "tw", "ug", "uk", "ur", "uz", "vi", "cy", "wo", "xh", "yi", "yo", "zu" ], "type": "string", "description": "The language to search in.", "default": "en" }, "max_results": { "title": "Max results to scrape", "type": "integer", "description": "The maximum number of results to scrape.", "default": 100 } } }, "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 } } } } } } } } } } ```