# Google Maps Scraper | $0.50/1K Results πŸ’° (`scraperlink/google-maps-scraper`) Actor πŸ”₯ $0.50/1K resultsπŸ”₯ **CHEAPEST** Google Maps Scraper on Apify β€” 4Γ— cheaper than competitors. Proxies & platform costs included. Results in seconds. Extract names, phones, addresses, ratings, hours & more. Multi-query, up to 200 results per search. - **URL**: https://apify.com/scraperlink/google-maps-scraper.md - **Developed by:** [ScraperLink](https://apify.com/scraperlink) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 92 total users, 7 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 ## Google Maps Scraper **$0.50 per 1,000 results β€” all-in. No proxy fees. No compute surprises.** Pull structured business data from Google Maps at a fraction of what other actors charge. Every run is fast, lightweight, and billed only for results you actually receive β€” each business lands as its own row in the dataset. The leading Google Maps actor on Apify charges **$2.10 per 1,000 results**. We charge **$0.50**. That's 4Γ— cheaper, with more data fields, faster runs, and zero hidden costs. --- ### What makes this different | | This actor | Top competitor | |---|---|---| | Price per 1,000 results | **$0.50** | $2.10+ | | Proxy & infrastructure costs | **Included** | Billed separately | | Data fields per result | **40+** | ~20 | | Output organized into tabs | **6 tabs** | Basic table | | Browser required | **No** | Yes (Playwright) | | Bulk queries in one run | **Yes** | Yes | | Results as individual rows | **Yes** | Sometimes nested | | Max results per query | **200** | 120–200 | **No browser means no Playwright, no Chromium, no headless overhead.** Runs complete in seconds, not minutes. You're not paying Apify compute for a browser to sit idle while a page loads. **Proxy costs are absorbed.** Every request is routed through our infrastructure. You never need to configure Apify proxies or eat proxy credits from your own plan. --- ### Data you get (40+ fields across 6 tabs) #### Overview Name, rating, review count, price level, category, full address, website, phone, and direct Google Maps URL β€” everything you need at a glance. #### Contact Info Full address broken into components (street, number, neighborhood, city, postal code, state, country), domain, all three phone formats (international, formatted, digits-only), coordinates (lat/lng), plus code, and the building or complex the business is located in. #### Hours Live open/closed status, weekly opening hours, service-specific hours (lunch, dinner, brunch, happy hour, and more), and booking/reservation links. #### Ratings & Reviews Total score, star rating, rating count, review count, full review distribution (1–5 stars breakdown), and price tier. #### Media & Identity Place ID, Data ID, CID, FID, Google Maps URL, search result URL, business image, thumbnail, logo, and owner information. #### Metadata Original search query, rank and position in results, timezone, temporarily/permanently closed flags, about text, and popular times histogram data. --- ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `query` | string list | βœ… | β€” | One or more Google Maps search queries (e.g. `dentists in chicago`) | | `num` | integer | | `20` | Results to return per query (max `200`) | | `gl` | string | | `us` | Country for Google Maps results β€” match this to the country you're searching in (`ca`, `gb`, `de`, etc.) | | `hl` | string | | `en` | Interface language for Google results (`fr`, `es`, `de`, etc.) | | `fields` | string | | β€” | Comma-separated list of fields to keep β€” leave blank to get everything | #### Example: multi-city lead generation ```json { "query": [ "personal injury lawyers in houston", "personal injury lawyers in dallas", "personal injury lawyers in austin" ], "num": 200, "gl": "us", "hl": "en" } ```` #### Example: international search ```json { "query": ["coffee shops in london"], "num": 100, "gl": "gb", "hl": "en" } ``` *** ### Sample result ```json { "query": "restaurants in toronto", "searchString": "restaurants in toronto", "rank": 1, "position": 1, "title": "Black+Blue Toronto", "categoryName": "Restaurant", "type": "Restaurant", "categories": [ "Restaurant", "Brunch restaurant", "Event venue", "Fine dining restaurant", "Lounge bar", "Seafood restaurant", "Steak house", "Sushi restaurant", "Wine bar" ], "types": [ "Restaurant", "Brunch restaurant", "Event venue", "Fine dining restaurant", "Lounge bar", "Seafood restaurant", "Steak house", "Sushi restaurant", "Wine bar" ], "address": "130 King St W, Toronto, ON M5X 2A2, Canada", "neighborhood": "Old Toronto", "street": "130 King St W", "streetNumber": null, "city": "Toronto", "postalCode": "M5X 2A2", "state": "Ontario", "countryCode": "CA", "locatedIn": "Old Toronto", "timezone": "America/Toronto", "totalScore": 4.7, "rating": 4.7, "reviewsCount": 5589, "ratingCount": 5589, "reviewsDistribution": null, "priceLevel": "CA$100 or above", "phone": "+1 647-368-8283", "phoneNumber": "(647) 368-8283", "phoneUnformatted": "+16473688283", "website": "https://blackandbluesteakhouse.ca/toronto-home/", "domain": "blackandbluesteakhouse.ca", "placeId": "ChIJ243-C381K4gRHMKWCGU86iM", "dataId": "/g/11s9wnk_vb", "cid": "2587947340511232540", "cidHex": "0x882b357f0bfe8ddb:0x23ea3c650896c21c", "fid": "0x882b357f0bfe8ddb:0x23ea3c650896c21c", "googleMapsUrl": "https://www.google.com/maps/place/?q=place_id:ChIJ243-C381K4gRHMKWCGU86iM", "url": "https://www.google.com/maps/search/?api=1&query=Black%2BBlue+Toronto&query_place_id=ChIJ243-C381K4gRHMKWCGU86iM", "imageUrl": "https://lh3.googleusercontent.com/gps-cs-s/APNQkA...", "thumbnailUrl": "https://lh3.googleusercontent.com/gps-cs-s/APNQkA...", "logoUrl": "https://lh3.googleusercontent.com/-ih84iASeZ7Y/AAAAAAA.../photo.jpg", "owner": { "name": "Black+Blue Toronto (Owner)", "googleId": "102477914189084708456" }, "location": { "lat": 43.6480996, "lng": -79.3831247 }, "latitude": 43.6480996, "longitude": -79.3831247, "plusCode": null, "temporarilyClosed": null, "permanentlyClosed": null, "openingHours": { "Friday": "11:30 AM–12 AM", "Saturday": "10:30 AM–12 AM", "Sunday": "10:30 AM–12 AM", "Monday": "11:30 AM–12 AM", "Tuesday": "11:30 AM–12 AM", "Wednesday": "11:30 AM–12 AM", "Thursday": "11:30 AM–12 AM" }, "openingHoursDetailed": [ { "day": "Friday", "hours": ["11:30 AM–12 AM"] }, { "day": "Saturday", "hours": ["10:30 AM–12 AM"] }, { "day": "Sunday", "hours": ["10:30 AM–12 AM"] }, { "day": "Monday", "hours": ["11:30 AM–12 AM"] }, { "day": "Tuesday", "hours": ["11:30 AM–12 AM"] }, { "day": "Wednesday", "hours": ["11:30 AM–12 AM"] }, { "day": "Thursday", "hours": ["11:30 AM–12 AM"] } ], "openingHoursState": "Open Β· Closes 12 AM", "serviceHours": { "Lunch": { "Friday": "11:30 AM–2 PM" }, "Happy hours": { "Friday": "2:30–5:30 PM" }, "Kitchen": { "Friday": "11:30 AM–12 AM" }, "Dinner": { "Friday": "3 PM–12 AM" }, "Brunch": { "Friday": "Closed" } }, "bookingLinks": [ "https://party-request.tripleseat.com/venues/8qsUeRbI/?rwg_token=...", "https://www.google.com/maps/reserve/v/dine/c/DUtUFyMlWBE?source=pa", "https://party-request.tripleseat.com/venues/8qsUeRbI/?rwg_token=..." ], "popularTimes": null, "about": null } ``` *** ### Use cases - **Lead generation** β€” Build targeted prospect lists by business type and location - **Competitor research** β€” Monitor competitor ratings, hours, and pricing across cities - **Market analysis** β€” Map business density and coverage in any region - **Directory building** β€” Populate local business directories with verified contact data - **CRM enrichment** β€” Append phone, website, coordinates, and hours to existing records *** ### Notes - Multiple queries run in one actor invocation β€” no need to start separate runs per city or keyword. - Set `gl` to match the country you're targeting for the most accurate local results (`gl=ca` for Canada, `gl=gb` for UK, `gl=de` for Germany). - Use `fields` to trim output to only the columns you need β€” useful for large runs where you want a lean dataset. - Results are cached on our infrastructure for 1 hour, so repeated identical queries return immediately without re-fetching. - This actor makes no browser calls. It connects directly to our scraping infrastructure, meaning cold starts are near-instant and memory usage stays flat throughout the run. # Actor input Schema ## `query` (type: `array`): One or more Google Maps search queries. ## `num` (type: `integer`): How many results to fetch. ## `gl` (type: `string`): Google geolocation country code. ## `hl` (type: `string`): Google interface language. ## `fields` (type: `string`): Optional comma-separated list of fields to keep in the output. ## Actor input object example ```json { "query": [ "coffee shops in new york" ], "num": 200, "gl": "us", "hl": "en" } ``` # Actor output Schema ## `results` (type: `string`): All scraped Google Maps business records, one row per place. # 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": [ "coffee shops in new york" ], "gl": "us", "hl": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("scraperlink/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": ["coffee shops in new york"], "gl": "us", "hl": "en", } # Run the Actor and wait for it to finish run = client.actor("scraperlink/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": [ "coffee shops in new york" ], "gl": "us", "hl": "en" }' | apify call scraperlink/google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperlink/google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Scraper | $0.50/1K Results πŸ’°", "description": "πŸ”₯ $0.50/1K resultsπŸ”₯ **CHEAPEST** Google Maps Scraper on Apify β€” 4Γ— cheaper than competitors. Proxies & platform costs included. Results in seconds. Extract names, phones, addresses, ratings, hours & more. Multi-query, up to 200 results per search.", "version": "0.0", "x-build-id": "PniNgBGUNplBBWMgy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperlink~google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperlink-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scraperlink~google-maps-scraper/runs": { "post": { "operationId": "runs-sync-scraperlink-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/scraperlink~google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-scraperlink-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" ], "properties": { "query": { "title": "Query", "type": "array", "description": "One or more Google Maps search queries.", "items": { "type": "string" } }, "num": { "title": "Num", "minimum": 10, "maximum": 200, "type": "integer", "description": "How many results to fetch.", "default": 200 }, "gl": { "title": "Country Code (gl)", "type": "string", "description": "Google geolocation country code.", "default": "us" }, "hl": { "title": "Language (hl)", "type": "string", "description": "Google interface language.", "default": "en" }, "fields": { "title": "Fields", "type": "string", "description": "Optional comma-separated list of fields to keep in the output." } } }, "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 } } } } } } } } } } ```