# Google Maps Autocomplete - Place Suggestions (`xtracto/gmaps-suggestion`) Actor The same dropdown suggestions you see while typing into Google Maps, exposed as a clean API. Pass a partial keyword plus an anchor lat/lng and get ranked place suggestions with coordinates, addresses, item\_ids, and country codes. Great for autosuggest UIs and disambiguation. - **URL**: https://apify.com/xtracto/gmaps-suggestion.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Automation, Lead generation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Suggestion (Autocomplete) Same dropdown suggestions you see while typing into Google Maps — programmatic, fast, location-biased. ### What you get A ranked list of suggestions for your partial input. Each suggestion is either a **place** (with name, coordinate, address, item_id, country code) or a **search keyword** (text-only). ### Use cases - **Search autosuggest** in your own product, branded as yours but powered by Google's data. - **Typo-tolerant lookups** — let users type "centrl par" and resolve to the right place. - **Place picker UI** — confirm exact address before passing into Place Detail or Reviews actors. - **Keyword expansion** for SEO / paid search — discover the way users phrase queries near a region. - **Disambiguation** — show users the right "Empire State" between the building, the deli, and the casino. ### Why this actor - **Location-biased** — pass `lat`/`lng` to anchor suggestions to a city or neighborhood. - **Returns coordinates + item_id** for place suggestions — drop straight into Place Detail or Reviews. - **Country / language aware** — set `country` for ranking bias and `language` for localized labels. - **Very fast** — single request, ~150–300 ms typical. - **Free** — no per-query cost, no API key, no quota. ### Sample input ```json { "keyword": "empire state", "lat": 40.7484, "lng": -73.9857, "language": "en", "country": "us" } ```` ### Sample output ```json [ { "name": "Empire State Building", "coordinate": [40.7484405, -73.98566439999999], "address": "West 34th Street, New York, NY", "item_id": "0x89c259a9b3117469:0xd134e199a405a163", "country_code": "US" }, { "name": "Empire State Building", "coordinate": [40.748545199999995, -73.98576349999999], "address": "5th Avenue, New York, NY", "item_id": "0x89c259a9aeb1c6b5:0x35b1cfbc89a6097f", "country_code": "US" }, { "keyword": "SUNY Empire State College" }, { "name": "Empire State University at Manhattan", "coordinate": [40.7467543, -73.9819037], "address": "Park Avenue, New York, NY", "item_id": "0x89c259f2da56a213:0xaf8d3b37b072429b", "country_code": "US" } ] ``` ### How to get the inputs - **`keyword`** — any partial text the user might type (`"central pa"`, `"empi"`, `"sushi r"`). - **`lat` / `lng`** — anchor for biasing suggestions to a region. Right-click any spot on Google Maps and copy the coordinates shown at the top of the context menu. ### Tips - Move the `lat`/`lng` anchor to bias toward different cities — same keyword can return Central Park NYC vs Sydney NSW. - Items WITHOUT `item_id` are keyword-only suggestions (no specific place behind them). ### Pair with other actors - Send a suggestion's `item_id` into **[Google Maps Place Detail](https://apify.com/xtracto/gmaps-detail-places)** for a full place profile. - Send a suggestion's `item_id` into **[Google Maps Reviews](https://apify.com/xtracto/gmaps-reviews)** to pull customer reviews. - Send a suggestion's `coordinate` into **[Google Maps Direction](https://apify.com/xtracto/gmaps-direction-rute)** as origin or destination. - For an unspecific search (no autocomplete, just keyword search), use **[Google Maps Search Places](https://apify.com/xtracto/gmaps-search-places)** instead. # Actor input Schema ## `keyword` (type: `string`): Partial query to autocomplete. ## `lat` (type: `number`): Anchor latitude to bias suggestions to a region. ## `lng` (type: `number`): Anchor longitude to bias suggestions to a region. ## `language` (type: `string`): Language for result text (names, addresses, descriptions). ## `country` (type: `string`): Geographic bias for Google results. Picks how Google ranks places and what currency/units it shows. ## Actor input object example ```json { "keyword": "central park", "lat": 40.7484, "lng": -73.9857, "language": "en", "country": "us" } ``` # 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 = { "keyword": "empire state" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/gmaps-suggestion").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 = { "keyword": "empire state" } # Run the Actor and wait for it to finish run = client.actor("xtracto/gmaps-suggestion").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 '{ "keyword": "empire state" }' | apify call xtracto/gmaps-suggestion --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/gmaps-suggestion", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Autocomplete - Place Suggestions", "description": "The same dropdown suggestions you see while typing into Google Maps, exposed as a clean API. Pass a partial keyword plus an anchor lat/lng and get ranked place suggestions with coordinates, addresses, item_ids, and country codes. Great for autosuggest UIs and disambiguation.", "version": "1.0", "x-build-id": "cO25Pu1gBndHQee6Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~gmaps-suggestion/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-gmaps-suggestion", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~gmaps-suggestion/runs": { "post": { "operationId": "runs-sync-xtracto-gmaps-suggestion", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~gmaps-suggestion/run-sync": { "post": { "operationId": "run-sync-xtracto-gmaps-suggestion", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Partial keyword", "type": "string", "description": "Partial query to autocomplete." }, "lat": { "title": "Latitude anchor", "type": "number", "description": "Anchor latitude to bias suggestions to a region.", "default": 40.7484 }, "lng": { "title": "Longitude anchor", "type": "number", "description": "Anchor longitude to bias suggestions to a region.", "default": -73.9857 }, "language": { "title": "Language (hl)", "enum": [ "en", "en-GB", "es", "fr", "de", "it", "pt", "pt-BR", "nl", "pl", "ru", "uk", "ro", "cs", "hu", "el", "sv", "no", "da", "fi", "tr", "ja", "ko", "zh-CN", "zh-TW", "id", "ms", "th", "vi", "hi", "bn", "ta", "ur", "fa", "ar", "he" ], "type": "string", "description": "Language for result text (names, addresses, descriptions).", "default": "en" }, "country": { "title": "Country (gl)", "enum": [ "us", "gb", "ca", "au", "nz", "ie", "de", "fr", "es", "it", "nl", "be", "ch", "at", "pt", "pl", "se", "no", "dk", "fi", "gr", "cz", "hu", "ro", "ua", "ru", "tr", "jp", "kr", "cn", "tw", "hk", "sg", "id", "my", "ph", "th", "vn", "in", "pk", "bd", "lk", "ae", "sa", "qa", "kw", "il", "eg", "za", "ng", "ke", "ma", "mx", "br", "ar", "cl", "co", "pe", "ve", "uy" ], "type": "string", "description": "Geographic bias for Google results. Picks how Google ranks places and what currency/units it shows.", "default": "us" } } }, "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 } } } } } } } } } } ```