# Compare Walk Scores for Seattle and Chicago

**Use case:** 

Compare walkability, transit, and bike access between major US cities for relocation research and real estate investment. Returns city averages, neighborhood ranking tables, and population. Modify the cities input array to switch markets.

## Input

```json
{
  "mode": "byCity",
  "addresses": [],
  "cities": [
    "Seattle, WA",
    "Chicago, IL"
  ],
  "neighborhoods": [],
  "state": "WA",
  "includeNeighborhoods": true,
  "maxItems": 50
}
```

## Output

```json
{
  "address": {
    "label": "Address"
  },
  "locationType": {
    "label": "Location type"
  },
  "city": {
    "label": "City"
  },
  "state": {
    "label": "State"
  },
  "zipCode": {
    "label": "Zip code"
  },
  "walkScore": {
    "label": "Walk score"
  },
  "walkDescription": {
    "label": "Walk description"
  },
  "transitScore": {
    "label": "Transit score"
  },
  "transitDescription": {
    "label": "Transit description"
  },
  "bikeScore": {
    "label": "Bike score"
  },
  "bikeDescription": {
    "label": "Bike description"
  },
  "nearbyAmenities": {
    "label": "Nearby amenities"
  },
  "sourceUrl": {
    "label": "Source url"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The US Walkability, Transit & Bike Score Extractor Actor is ready to run with the inputs already set for "Compare Walk Scores for Seattle and Chicago". [Sign up or log in](https://console.apify.com/create-task-from-example/mDbiXRqeOKLNFydma) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare Walk Scores for Seattle and Chicago" task

The US Walkability, Transit & Bike Score Extractor Actor will start running based on the input automatically. You can also change all the input fields, like mode, addresses (mode=byaddress), and more, to match your specific use case.

### 3. Receive the "Compare Walk Scores for Seattle and Chicago" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as address, location type, city, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare Walk Scores for Seattle and Chicago" task via API](https://apify.com/dataspryva/us-walkability-transit-and-bike-score-extractor.md).

## FAQ

### How can I compare walk scores for downtown Seattle and Chicago apartments?

The city walk scores task returns city averages and, when available, neighborhood rankings for Seattle and Chicago. Change the cities to compare other markets; city averages do not provide scores for individual apartments.

### What data does the Seattle and Chicago walkability lookup include?

The city walk scores task can return walk, transit, and bike scores with rating labels, population, and neighborhood rankings. The dataset includes address, city, state, scores, descriptions, nearby amenities, and sourceUrl.

### Can I export the city walkability data to CSV or Excel?

The city walk scores task saves results in a dataset that you can download as CSV, Excel, JSON, XML, RSS, or an HTML table, or read through the Apify API.

### How do I change the cities in the walkability comparison?

In the city walk scores task, replace the supplied cities with entries such as Seattle, WA or Chicago, IL, a city in hyphenated format, or a Walk Score city URL.

### How much does it cost to run the Seattle and Chicago lookup?

For the city walk scores task, 50 results cost at most $0.05 in result charges on the Free plan, plus the Actor start charge and Apify compute usage. Start charges vary by plan and memory.

### Can I schedule the city walkability lookup or run it through an API?

You can run the city walk scores task on an Apify schedule, through the Apify API, or from integrations such as Zapier, Make, and n8n.

## About this Actor

This example demonstrates how to use [US Walkability, Transit & Bike Score Extractor](https://apify.com/dataspryva/us-walkability-transit-and-bike-score-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/us-walkability-transit-and-bike-score-extractor.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/dataspryva/us-walkability-transit-and-bike-score-extractor.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`).