# Google Maps Directions - Routes, Distance & ETA (`xtracto/gmaps-direction-rute`) Actor Get the same driving routes, distances, and travel-time estimates Google Maps shows in its directions panel, programmatically. Pass two coordinates, get resolved addresses plus several alternative routes ranked by Google. Great for logistics, delivery ETAs, or commute analytics. - **URL**: https://apify.com/xtracto/gmaps-direction-rute.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 Direction (Route) Get the route, distance, and ETA between two coordinates — the same data the Google Maps directions panel shows. ### What you get For each requested origin/destination pair: the resolved origin address, destination address, and up to several alternative routes with street name, distance (meters + human-readable), and travel time (seconds + human-readable). ### Use cases - **Delivery & logistics planning** — estimate driving time and distance for routing optimization. - **ETA enrichment** — add live travel-time columns to CRM, support tickets, or shipment dashboards. - **Real-estate listings** — show "X min from downtown / airport / station" on property pages. - **Field-team scheduling** — sequence visits with realistic per-leg ETAs. - **Travel-time analytics** — measure how access to a location changes across a region. ### Why this actor - **Multiple route options** — not just the fastest. See alternatives ranked by Google. - **Both distance & ETA** in human-readable strings AND raw numbers (meters / seconds) ready for math. - **Locale-aware** — addresses come back in the requested language; distances honor the country unit system. - **Coordinate-based input** — no need to geocode first; just give lat,lng for both ends. - **Fast** — single round-trip per direction request. ### Sample input ```json { "origin": "40.7484,-73.9857", "destination": "40.7580,-73.9855", "language": "en", "country": "us" } ```` ### Sample output ```json { "origin_coordinate": [40.7484, -73.9857], "origin_address": "20 W 34th St., New York, NY 10001", "destination_coordinate": [40.757999999999996, -73.9855], "destination_address": "New York, NY 10036", "best_routes": [ { "street": "6th Ave/Ave of the Americas", "distance_meter": 2816, "distance_text": "1.7 miles", "estimate_second": 917, "estimate_text": "15 min" }, { "street": "every 8 min", "distance_meter": 1789, "distance_text": "1.1 miles", "estimate_second": 1012, "estimate_text": "17 min" }, { "street": "Broadway", "distance_meter": 1304, "distance_text": "0.8 mile", "estimate_second": 1118, "estimate_text": "19 min" } ] } ``` Routes and ETAs reflect current traffic conditions at request time, so exact numbers vary run to run. ### How to get the inputs - **`origin` / `destination`** — `lat,lng` strings (no spaces). Easiest sources: - Right-click a point on Google Maps → click the coordinates shown at the top of the context menu to copy. - Read from any place URL: the `@LAT,LNG,17z` segment in the URL. - Take the `coordinate` field from a **[Google Maps Search Places](https://apify.com/xtracto/gmaps-search-places)** result. ### Tips - To run a many-to-many distance matrix, loop the actor over your N origins × M destinations. - Pick `country: gb` for distances in miles + UK address formatting; `jp` for kilometers + Japanese addresses. ### Pair with other actors - **[Google Maps Search Places](https://apify.com/xtracto/gmaps-search-places)** → grab a place's `coordinate` field, then pass into this actor as origin or destination. - **[Google Maps Suggestion](https://apify.com/xtracto/gmaps-suggestion)** → autocomplete a place name into a coordinate, then route from there. # Actor input Schema ## `origin` (type: `string`): Origin coordinates in 'lat,lng' format. ## `destination` (type: `string`): Destination coordinates in 'lat,lng' format. ## `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 { "origin": "40.7484,-73.9857", "destination": "40.7580,-73.9855", "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 = { "origin": "40.7484,-73.9857", "destination": "40.7580,-73.9855" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/gmaps-direction-rute").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 = { "origin": "40.7484,-73.9857", "destination": "40.7580,-73.9855", } # Run the Actor and wait for it to finish run = client.actor("xtracto/gmaps-direction-rute").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 '{ "origin": "40.7484,-73.9857", "destination": "40.7580,-73.9855" }' | apify call xtracto/gmaps-direction-rute --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/gmaps-direction-rute", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Directions - Routes, Distance & ETA", "description": "Get the same driving routes, distances, and travel-time estimates Google Maps shows in its directions panel, programmatically. Pass two coordinates, get resolved addresses plus several alternative routes ranked by Google. Great for logistics, delivery ETAs, or commute analytics.", "version": "1.0", "x-build-id": "bWnWIadpMyKg06Fwq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~gmaps-direction-rute/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-gmaps-direction-rute", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~gmaps-direction-rute/runs": { "post": { "operationId": "runs-sync-xtracto-gmaps-direction-rute", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~gmaps-direction-rute/run-sync": { "post": { "operationId": "run-sync-xtracto-gmaps-direction-rute", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "origin", "destination" ], "properties": { "origin": { "title": "Origin (lat,lng)", "type": "string", "description": "Origin coordinates in 'lat,lng' format." }, "destination": { "title": "Destination (lat,lng)", "type": "string", "description": "Destination coordinates in 'lat,lng' format." }, "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 } } } } } } } } } } ```