Walk Score for a list of addresses in n8n

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.

What this workflow does

Import it and n8n runs the US Walkability, Transit & Bike Score Extractor Actor on Apify every day at 08:00 with the starter input below. Each row comes back with address, location type, city, state and 9 more; repeats with the same address are dropped. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.

Read from the workflow file, built for US Walkability, Transit & Bike Score Extractor version 1.0.2. Updated 2026-11-14.
Walk Score Real estate Runs daily at 08:00 From a Short

How the rows travel

6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.

  1. Daily trigger Schedule trigger
  2. Configure input Code
  3. Run Apify Actor HTTP Request
  4. Normalize + dedupe Code
  5. Rows ready No operation
  6. Google Sheets (optional) Google Sheets, off until you switch it on

From the Short

This workflow is the one the video points to: the number in each video opens this page.

Input

The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.

{
  "mode": "byCity",
  "cities": [
    "Seattle, WA"
  ],
  "state": "WA",
  "includeNeighborhoods": true,
  "maxItems": 25
}
Input settings of US Walkability, Transit & Bike Score Extractor
SettingTypeRequiredDefaultWhat it does
mode string Yes byCity What to look up. One of: byAddress, byCity, byNeighborhood, byState, byRanking.
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. 51 choices.
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).

What each row holds

Every field the Actor returns stays in the row (13 in its dataset schema). Normalize + dedupe trims text, drops empty fields, removes repeats with the same address and adds _source and _scrapedAt. The main fields:

Main output fields of US Walkability, Transit & Bike Score Extractor
FieldWhat it is
addressAddress
locationTypeLocation Type
cityCity
stateState
zipCodeZip Code
walkScoreWalk Score
walkDescriptionWalk Description
transitScoreTransit Score
transitDescriptionTransit Description
bikeScoreBike Score
bikeDescriptionBike Description
nearbyAmenitiesNearby Amenities

What the first run costs

With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage.

The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.

The Actor behind it

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.

The same job from an AI agent

The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:

npx skills add https://scraperfinder.com --skill us-walkability-transit-and-bike-score-extractor

The walk Score for a list of addresses skill, with manual install and run steps

Questions people ask

How do I import this workflow into n8n?

Copy https://scraperfinder.com/n8n/us-walkability-transit-and-bike-score-extractor.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.

Do I need an Apify account?

Yes. The workflow calls the US Walkability, Transit & Bike Score Extractor Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.

What does a run cost?

With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage. The Actor's Store page shows the current price.

Can I change what it collects?

Yes: edit the input object in the Configure input node. The Actor takes 7 settings; the table on this page lists each one with its default. Raise maxItems once the first rows look right.

Does it work without Google Sheets?

Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.

Workflow updated 2026-11-14