# Google Maps Scraper (`scrapelabsapi/google-maps-scraper`) Actor πŸ—ΊοΈ Google Maps Scraper extracts business listings, reviews, ratings & contact details from Google Maps fast. ⚑ Perfect for lead gen, local SEO, market research & competitor tracking. πŸ“Š Export data for outreach with ease. - **URL**: https://apify.com/scrapelabsapi/google-maps-scraper.md - **Developed by:** [ScrapeLabs](https://apify.com/scrapelabsapi) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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. 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-scraper Bulk Google Maps scraper Actor with automatic proxy fallback (direct β†’ datacenter β†’ residential, sticky after residential), live dataset writes, optional review capture, and final `maps.json` in the Key-Value Store. ### Why Choose Us? - Resilient proxy ladder with clear logging and stickiness after residential fallback - Bulk inputs: locations, keywords/terms, direct Maps URLs - Live dataset writes to avoid data loss; final merged `maps.json` in KV store - Optional reviews per place with best-effort scraping - Sorting options (rating, review_count, name, relevance) ### Key Features - Grid-based viewport coverage per location for broader coverage - Deduplication by `place_id` - Configurable `maxResults`, `gridSize`, `maxComments` - Detailed Apify logs for progress and proxy events ### Input Example: ```json { "locations": ["New York"], "keywords": ["coffee shops"], "urls": [], "sortOrder": "relevance", "maxComments": 0, "maxResults": 200, "gridSize": 15, "proxyConfiguration": { "useApifyProxy": false } } ```` Fields: - `locations` (array): City/region names for viewport generation. Optional if `urls` provided. - `keywords` (array, required): Keywords/terms to search. - `urls` (array): Direct Google Maps search URLs (bulk supported). - `sortOrder` (string): `relevance` | `rating` | `review_count` | `distance` | `name`. - `maxComments` (integer): Reviews per place (0 disables reviews). - `maxResults` (integer): Cap on total places. - `gridSize` (integer): Grid dimension per viewport (coverage vs speed). - `proxyConfiguration` (object): Defaults to direct. Actor will fallback to datacenter, then residential (sticky) on blocks. ### Output - Dataset: one item per place with address, rating, reviews count, phone, tags, hours, lat/long, `place_id`, `success`. - Key-Value Store: `maps.json` containing the final sorted list. Sample item (dataset / maps.json): ```json { "name": "Sample Coffee", "website": "https://samplecoffee.com", "avg_rating": 4.6, "total_reviews": 128, "street_address": "123 Main St", "city": "New York", "state": "NY", "zip": "10001", "country_code": "US", "full_address": "123 Main St New York NY 10001 US", "tags": ["Coffee shop"], "notes": null, "place_id": "abcd1234", "phone": "+1 212-555-0100", "lat": 40.75, "long": -73.99, "hours": [], "success": true } ``` ### πŸš€ How to Use the Actor (via Apify Console) 1. Log in to https://console.apify.com and open the Actor. 2. Fill inputs: locations/keywords or URLs, set limits and sort order. 3. Leave proxy blank for direct start; actor auto-fallbacks to proxies on block. 4. Run and watch logs for grid progress and proxy events. 5. Results appear in DATASET; final merged file in OUTPUT as `maps.json`. ### Best Use Cases - Local business lead lists by category and city - Competitive scans across regions - Enriching place records with ratings/phones/addresses ### Frequently Asked Questions - **Will it always get reviews?** Reviews are best-effort; set `maxComments>0` to enable. - **What if Google blocks me?** Actor steps through direct β†’ datacenter β†’ residential (sticky) with retries; logs each change. - **How many results can I fetch?** Up to `maxResults`; gridSize controls coverage vs. speed. ### Support and Feedback For questions or custom needs, reach out via the contact in `actor.json` description. ### Cautions - Data is collected from public Google Maps pages. - Ensure compliance with local laws and Google’s terms; you are responsible for usage. # Actor input Schema ## `locations` (type: `array`): πŸ™οΈ Examples: *New York*, *Texas*, *Downtown Chicago* β€” mix and match for bulk coverage. ## `keywords` (type: `array`): β˜• Describe the businesses or places you care about β€” *coffee shops*, *dentists*, *coworking*, *hotels near airport*, and so on. πŸ“ Add many keywords to multiply your searches! ## `urls` (type: `array`): 🌐 Bulk-friendly list of map links. ✨ Great when you’ve bookmarked exact searches. ## `maxResults` (type: `integer`): πŸ”’ Total unique places across **all** locations, keywords, and URLs (duplicates are merged automatically). ✨ Default is friendly for quick tests; raise it for big lists. ## `proxyConfiguration` (type: `object`): πŸŽ›οΈ Optional Apify Proxy β€” leave off for simple runs; turn on for heavier jobs or picky networks. ## Actor input object example ```json { "locations": [ "New York" ], "keywords": [ "coffee shops" ], "urls": [], "maxResults": 20, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "locations": [ "New York" ], "keywords": [ "coffee shops" ], "urls": [], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapelabsapi/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 = { "locations": ["New York"], "keywords": ["coffee shops"], "urls": [], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scrapelabsapi/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 '{ "locations": [ "New York" ], "keywords": [ "coffee shops" ], "urls": [], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scrapelabsapi/google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapelabsapi/google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Scraper", "description": "πŸ—ΊοΈ Google Maps Scraper extracts business listings, reviews, ratings & contact details from Google Maps fast. ⚑ Perfect for lead gen, local SEO, market research & competitor tracking. πŸ“Š Export data for outreach with ease.", "version": "0.1", "x-build-id": "Ddsd1g1Fyyt4eJca0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapelabsapi~google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapelabsapi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapelabsapi~google-maps-scraper/runs": { "post": { "operationId": "runs-sync-scrapelabsapi-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapelabsapi~google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-scrapelabsapi-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "locations": { "title": "πŸ“ Cities, regions, or neighborhoods", "type": "array", "description": "πŸ™οΈ Examples: *New York*, *Texas*, *Downtown Chicago* β€” mix and match for bulk coverage.", "items": { "type": "string" } }, "keywords": { "title": "πŸ”Ž What to find (keywords)", "type": "array", "description": "β˜• Describe the businesses or places you care about β€” *coffee shops*, *dentists*, *coworking*, *hotels near airport*, and so on. πŸ“ Add many keywords to multiply your searches!", "items": { "type": "string" } }, "urls": { "title": "πŸ”— Optional: Google Maps links", "type": "array", "description": "🌐 Bulk-friendly list of map links. ✨ Great when you’ve bookmarked exact searches.", "items": { "type": "string" } }, "maxResults": { "title": "🎯 How many places to collect", "minimum": 1, "maximum": 10000, "type": "integer", "description": "πŸ”’ Total unique places across **all** locations, keywords, and URLs (duplicates are merged automatically). ✨ Default is friendly for quick tests; raise it for big lists.", "default": 20 }, "proxyConfiguration": { "title": "🌐 Connection & reliability", "type": "object", "description": "πŸŽ›οΈ Optional Apify Proxy β€” leave off for simple runs; turn on for heavier jobs or picky networks." } } }, "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 } } } } } } } } } } ```