# Isochrone map: how far can you get in 15 or 30 minutes

**Use case:** 

How far can you ride a bike in 15 and 30 minutes from Roma Street station in Brisbane? Returns both contours as filled GeoJSON polygons on OpenStreetMap cycling data, ready to drop onto a map for commute catchments, bike-share planning or choosing where to live near the city.

## Input

```json
{
  "origin": "Torquay VIC",
  "destination": "Apollo Bay VIC",
  "profile": "car",
  "mode": "route",
  "isochrones": [
    {
      "id": "roma-st-cycling",
      "location": {
        "lat": -27.4648,
        "lng": 153.019
      },
      "profile": "bike",
      "minutes": [
        15,
        30
      ],
      "polygons": true
    }
  ],
  "geometry": "all",
  "steps": "instructions",
  "units": "km",
  "language": "en-GB",
  "elevationIntervalM": 0,
  "geocodeCountry": "AU",
  "looseGeocoding": false,
  "concurrency": 4
}
```

## Output

```json
{
  "input.id": {
    "label": "ID",
    "format": "string"
  },
  "kind": {
    "label": "Kind",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "profile": {
    "label": "Profile",
    "format": "string"
  },
  "route.distanceM": {
    "label": "Distance (m)",
    "format": "number"
  },
  "route.durationS": {
    "label": "Duration (s)",
    "format": "number"
  },
  "route.hasToll": {
    "label": "Tolls",
    "format": "boolean"
  },
  "route.hasFerry": {
    "label": "Ferry",
    "format": "boolean"
  },
  "summary.lengthM": {
    "label": "Line length (m)",
    "format": "number"
  },
  "summary.gainM": {
    "label": "Climb (m)",
    "format": "number"
  },
  "summary.lossM": {
    "label": "Descent (m)",
    "format": "number"
  },
  "query.text": {
    "label": "Geocode query",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Directions, Routing & Distance Matrix API — no API key](https://apify.com/davidar/openstreetmap-directions-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/davidar/openstreetmap-directions-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/davidar/openstreetmap-directions-api.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).