# Google Maps Scraper (`dami_studio/google-maps-scraper`) Actor Scrape Google Maps places by search query — name, category, address, rating, review count, phone, website, lat/lng and place ID. Runs a real browser to get past Google's protections, scrolls the full results feed, and never charges for blocked or empty searches. - **URL**: https://apify.com/dami\_studio/google-maps-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Lead generation, Automation, Integrations - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $4.00 / 1,000 place returneds 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 Search Google Maps and get clean, structured places — **name, category, address, rating, review count, phone, website, lat/lng, and the place ID** — for any query, anywhere. Google Maps is one of the hardest targets on the web: the data the page shows is built by client-side JS and the internal API rotates its format constantly, which is why so many Maps scrapers return empty or break within weeks. This actor runs a **real browser**, lets Maps render its own results, scrolls the entire results feed, and reads the places straight from the rendered cards (stable) instead of reverse-engineering Google's protobuf (fragile). ### Input | Field | Notes | |---|---| | `searchQueries` | One or more searches, location included in the text — `coffee in Brooklyn`, `dentists near Eiffel Tower`. | | `searchQuery` | A single search, if you prefer one box. | | `maxItems` | Places per query (scrolls the feed to reach it). | | `language` | Maps UI language (`en`, `de`, `fr`…). | | `countryCode` | 2-letter country for the residential proxy — match it to where you're searching. | ### Output One row per place: `name`, `category`, `address`, `rating`, `reviewCount`, `phone`, `website`, `lat`, `lng`, `placeId` (hex ftid), `cid` (decimal), `placeUrl`, `searchQuery`. Blocked or empty searches return a single coded diagnostic row (`BLOCKED` / `NO_RESULTS`) and **are not charged**. **Fields that can be `null`:** Google only shows some fields on the results card, so `website`, `phone`, `rating`, `reviewCount`, `category` and `address` are frequently `null` even on otherwise-complete rows — this is Google omitting them on the card, not a scrape failure. `name`, `placeUrl` and (when present in the link) `lat`/`lng`/`placeId`/`cid` are the most consistently populated. You are still charged for these rows because they are genuine place results. ### Pricing Pay-per-result: you are charged once per place row returned. Blocked, empty, and bad-input runs emit an `ok:false` diagnostic row and are **never charged**. ### Notes & troubleshooting A **residential** proxy is required — Google captchas datacenter IPs and your own server IP fast. The actor rotates the whole browser + IP automatically when it hits a captcha. Phone/website are filled when Google shows them on the card; deep per-place fields (full hours, all reviews) are a planned add-on. - **Got a `BLOCKED` diagnostic row?** You're almost certainly on a datacenter IP or your own IP. Turn on Apify Proxy with the **RESIDENTIAL** group (the default) and set **Proxy country** to match where you're searching. Datacenter proxies will keep getting captcha'd. - **Lots of `null` website/phone?** That's expected — Google doesn't put those on every results card. See the field note above. # Actor input Schema ## `searchQueries` (type: `array`): One or more Google Maps searches. Include the location in the text, e.g. "coffee in Brooklyn", "dentists near Eiffel Tower", "hotels Lisbon". ## `searchQuery` (type: `string`): A single search, if you prefer one box instead of the list above. ## `maxItems` (type: `integer`): How many places to collect per search (the scraper scrolls the results feed to reach this). Note: website and phone are only returned when Google shows them on the results card, so those fields are often null; rating, reviewCount, category and address can also be null when Google omits them. ## `language` (type: `string`): Google Maps interface language code (e.g. en, de, fr, es). ## `countryCode` (type: `string`): Optional 2-letter country for the residential proxy (e.g. US, GB, DE). Match it to where you're searching for best results. ## `notionConnector` (type: `string`): Optional. Write each place as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): Google rate-limits hard — a RESIDENTIAL proxy is required. Datacenter or your own IP get captcha'd quickly and produce a BLOCKED diagnostic row. If you hit BLOCKED, make sure Apify Proxy is on with the RESIDENTIAL group (the default), and set 'Proxy country' to match where you're searching. ## Actor input object example ```json { "searchQueries": [ "coffee in Brooklyn" ], "maxItems": 60, "language": "en", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "searchQueries": [ "coffee in Brooklyn" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/google-maps-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 = { "searchQueries": ["coffee in Brooklyn"] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/google-maps-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 '{ "searchQueries": [ "coffee in Brooklyn" ] }' | apify call dami_studio/google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Scraper", "description": "Scrape Google Maps places by search query — name, category, address, rating, review count, phone, website, lat/lng and place ID. Runs a real browser to get past Google's protections, scrolls the full results feed, and never charges for blocked or empty searches.", "version": "0.1", "x-build-id": "76rh2VenOOykb8Ypk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~google-maps-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "One or more Google Maps searches. Include the location in the text, e.g. \"coffee in Brooklyn\", \"dentists near Eiffel Tower\", \"hotels Lisbon\".", "items": { "type": "string" } }, "searchQuery": { "title": "Single search query (alternative)", "type": "string", "description": "A single search, if you prefer one box instead of the list above." }, "maxItems": { "title": "Max places per query", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many places to collect per search (the scraper scrolls the results feed to reach this). Note: website and phone are only returned when Google shows them on the results card, so those fields are often null; rating, reviewCount, category and address can also be null when Google omits them.", "default": 60 }, "language": { "title": "Language", "type": "string", "description": "Google Maps interface language code (e.g. en, de, fr, es).", "default": "en" }, "countryCode": { "title": "Proxy country", "type": "string", "description": "Optional 2-letter country for the residential proxy (e.g. US, GB, DE). Match it to where you're searching for best results." }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each place as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Google rate-limits hard — a RESIDENTIAL proxy is required. Datacenter or your own IP get captcha'd quickly and produce a BLOCKED diagnostic row. If you hit BLOCKED, make sure Apify Proxy is on with the RESIDENTIAL group (the default), and set 'Proxy country' to match where you're searching.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```