US Walkability, Transit & Bike Score Extractor
Looks up Walk Score, Transit Score, and Bike Score for any US city or street address, returning each 0-100 score with its rating label and nearby amenity categories.
Open in Apify Store$0.99 / 1K on Free
Short answer
US Walkability, Transit & Bike Score Extractor is an Apify Store Actor for Walk Score data that returns 13 published output fields, including address, city, state, locationType. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 7 input settings; one is required (mode). It covers 3 of the 7 core Walk Score fields this site tracks. Last updated Oct 24, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
13 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
addresslocationTypecitystatezipCodewalkScorewalkDescriptiontransitScoretransitDescriptionbikeScorebikeDescriptionnearbyAmenitiessourceUrl
Not in the schema among the core Walk Score fields: walk, transit, bike, source. The field matrix shows which other tools return them.
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | byCity | What to look up. |
| addresses | array | No | [] | US street addresses, e.g. '1 Beach St, San Francisco, CA 94133'. walkscore.com/score/... URLs are also accepted. |
| cities | array | No | ["Seattle, WA"] | Cities as 'Seattle, WA', 'Seattle-WA', or a walkscore.com city URL. |
| neighborhoods | array | No | [] | Neighborhoods as 'Ballard, Seattle, WA' or a walkscore.com neighborhood URL. |
| state | string | No | WA | US state whose city table to read. |
| includeNeighborhoods | boolean | No | true | Add the city page's neighborhood ranking table to each city record. |
| maxItems | integer | No | 50 | Maximum records to emit (state summary counts as one). |
Example input
Built from the input form's published example values and defaults.
{
"mode": "byCity",
"addresses": [],
"cities": [
"Seattle, WA"
],
"neighborhoods": [],
"state": "WA",
"includeNeighborhoods": false,
"maxItems": 1
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "byCity",
"addresses": [],
"cities": [
"Seattle, WA"
],
"neighborhoods": [],
"state": "WA",
"includeNeighborhoods": False,
"maxItems": 1
}
run = client.actor("dataspryva/us-walkability-transit-and-bike-score-extractor").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "byCity",
"addresses": [],
"cities": [
"Seattle, WA"
],
"neighborhoods": [],
"state": "WA",
"includeNeighborhoods": false,
"maxItems": 1
};
const run = await client.actor("dataspryva/us-walkability-transit-and-bike-score-extractor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/dataspryva~us-walkability-transit-and-bike-score-extractor/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"byCity","addresses":[],"cities":["Seattle, WA"],"neighborhoods":[],"state":"WA","includeNeighborhoods":false,"maxItems":1}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=dataspryva/us-walkability-transit-and-bike-score-extractor",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among Walk Score routes
It ranks 1 of 1 catalogue Actors for Walk Score on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 US Walkability, Transit & Bike Score Extractor 13 output fields, pay per event 3 of 7 core fields
$0.99 / 1K - + 11 other Store tools, combined Reference only 4 of 7 core fields
from $0.40 / 1K - API Walk Score API Public API fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: Walk Score API
Public API. The Walk Score API returns Walk Score, Transit Score and Bike Score for a location; Premium plans add score details, transit data, the Travel Time API and the Score Details API. An API key is requested from Walk Score.
Free plan for free consumer-facing applications up to 5,000 calls per day; Premium starts at $115 per month; Enterprise pricing is on request.
Other Store tools for Walk Score
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| Apartments.com Property Scraper | 44 | $3.00 |
| Apartments.com Scraper | 33 | $2.70 |
| Redfin Scraper | 22 | $0.40 |
| Apartments Scraper API | 22 | $10 |
| Apartments.com Scraper | 34 | $2.40 |
What people use it for
- compare walkability scores
- review transit and bike access
- inspect nearby amenities
Similar Actors
Google Maps Address & Coordinate Geocoding Lookup
Convert addresses to coordinates or coordinates back to addresses using Google Maps, in batch, with structured address components, place IDs, plus…
Google Earth Location Coordinate Finder
Look up precise latitude/longitude coordinates, place names, short descriptions and Google's internal place IDs for any place name or address, one…
Bing Maps Local Business Finder
Find restaurants, shops, hotels, and other local businesses on Bing Maps by keyword and city, or by a precise latitude/longitude and radius, with…
Google Maps Popular Times & Live Busyness Scraper
Scrape Google Maps Popular Times: hourly busy hours, live busyness vs usual, open/closed status, newest reviews with closure mentions and…
Google Maps Related Place & Competitor Finder
Find the related and 'people also search for' places Google Maps shows on a business, hotel, or landmark page. Get each related place's name,…
Google Maps Restaurant Menu & Popular Dish Extractor
Extract a restaurant's menu items from its Google Maps place page - dish name, photo, Popular badge, menu section, and an external menu link when…
Questions people ask
How much does US Walkability, Transit & Bike Score Extractor cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does US Walkability, Transit & Bike Score Extractor return?
Its published output schema lists 13 fields: address, locationType, city, state, zipCode, walkScore, walkDescription, transitScore, transitDescription, bikeScore, bikeDescription, nearbyAmenities, and 1 more. A listed field is not guaranteed to be filled in every row.
What input does US Walkability, Transit & Bike Score Extractor need?
Required: mode. Optional settings include addresses, cities, neighborhoods, state, includeNeighborhoods, maxItems.
How do I run US Walkability, Transit & Bike Score Extractor from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/us-walkability-transit-and-bike-score-extractor").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/us-walkability-transit-and-bike-score-extractor").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~us-walkability-transit-and-bike-score-extractor/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- US Walkability, Transit & Bike Score Extractor on Apify Store
- Published build with input and output schema (JSON)
- Walk Score API documentation
Cite this page
Scraper Finder. "US Walkability, Transit & Bike Score Extractor." https://scraperfinder.com/catalogue/us-walkability-transit-and-bike-score-extractor/ (data checked 2026-11-12).
Run US Walkability, Transit & Bike Score Extractor
$0.99 per 1,000 results. Paste the example input above, set your Walk Score query, then export the dataset. Still choosing? Compare every Walk Score route.