Brown Bear Car Wash
U.S. · 49 locations
49 Brown Bear Car Wash sites in Washington, from Brown Bear Car Wash's own site. Brown Bear's locator lists 51 places; the 2 that are a market and gas station with no car wash are left out. washType says 31 tunnel, 9 in-bay and 9 self-serve sites.
More about this list
Every row has the street address, the site's page, the site's phone and coordinates (28 the company's own map point, the rest geocoded from the street address). Open sites only: a site still under construction is not in the file.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | website | brand | parent company | wash type | wash features | wash status | has market and gas | geo precision | county | county fips | county note | address quality | country | latitude | longitude | source id |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Brown Bear Car Wash – Auburn 2 | 3920 Auburn Way N | Auburn | WA | 98002 | (206) 297-5448 | https://brownbear.com/wash/auburn-self-serve/ | Brown Bear Car Wash | Brown Bear Car Wash | in-bay | Touchless Car Wash | Open | false | source | King County | 53033 | complete | US | 47.342443 | -122.221666 | 1024 | |
| Brown Bear Car Wash – Enumclaw | 1145 Roosevelt Ave E | Enumclaw | WA | 98022 | (206) 297-5458 | https://brownbear.com/wash/enumclaw/ | Brown Bear Car Wash | Brown Bear Car Wash | in-bay | Touchless Car Wash; Self-Serve Car Wash | Open | false | source | King County | 53033 | ZIP 98022 spans 2 counties; assigned to the county holding 61% of its land area | complete | US | 47.1994651 | -121.9652896 | 1049 |
| Brown Bear Car Wash – Lakewood | 10913 Bridgeport Way SW | Lakewood | WA | 98499 | (253) 584-0583 | https://brownbear.com/wash/lakewood/ | Brown Bear Car Wash | Brown Bear Car Wash | express | Tunnel Car Wash | Open | false | address | Pierce County | 53053 | complete | US | 47.158307 | -122.504474 | 1016 | |
| Brown Bear Car Wash – Puyallup | 4412 S Meridian | Puyallup | WA | 98373 | (253) 770-4989 | https://brownbear.com/wash/puyallup/ | Brown Bear Car Wash | Brown Bear Car Wash | express | Tunnel Car Wash | Open | false | address | Pierce County | 53053 | complete | US | 47.150123 | -122.293048 | 1034 | |
| Brown Bear Car Wash – 15th | 1800 15th Ave W | Seattle | WA | 98119 | (206) 282-5400 | https://brownbear.com/wash/15th/ | Brown Bear Car Wash | Brown Bear Car Wash | express | Tunnel Car Wash | Open | true | source | King County | 53033 | complete | US | 47.635107 | -122.3756517 | 1000 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The name the site trades under | 100% |
| parent | The company that owns the site | 100% |
| name | Site name | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code | 100% |
| zip | ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Phone number | 100% |
| website | The site's page on the company's own site | 100% |
| latitude | GPS latitude | 100% |
| longitude | GPS longitude | 100% |
| wash | express, full-service, flex, in-bay or self-serve, where the company says | 100% |
| source | The company's own id for the site | 100% |
| wash | The wash features Brown Bear lists for the site | 100% |
| wash | The site's status as Brown Bear's locator shows it | 100% |
| has | Whether the site also has a Brown Bear market and gas station | 100% |
| geo_ | How the coordinates were arrived at: the company's own map point (source), a geocode of the street address, or the ZIP's centre | 100% |
| county | County name | 100% |
| county_ | Five-digit county FIPS code | 100% |
| county_ | Set when the ZIP code spans more than one county | 4% |
| address_ | complete, no house number, po box, missing city or zip or missing | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Brown Bear Car Wash's own public car wash locator, the system behind the “find a car wash” page on their website.
October 2, 2026
Snapshot built
22 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Brown Bear Car Wash Locations and give it this page: it can open https://locationlists.com/find?dataset=brown-bear-car-wash-locations with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Within 25 miles of Seattle, WA, the busiest area: https://locationlists.com/find?dataset=brown-bear-car-wash-locations&near=Seattle+WA&radius=25
- Within a 30-minute drive of Seattle, WA: https://locationlists.com/find?dataset=brown-bear-car-wash-locations&near=Seattle+WA&drive=30
- Only rows where hasMarketAndGas is true: https://locationlists.com/find?dataset=brown-bear-car-wash-locations&where=hasMarketAndGas%3Aeq%3Atrue
- Every Car Washes & EV Charging list combined, within 25 miles of Seattle, WA: https://locationlists.com/find?category=auto-services&near=Seattle+WA&radius=25
- Each one's nearest Sam's Xpress Car Wash Locations, with miles: https://locationlists.com/find?dataset=brown-bear-car-wash-locations&relate=nearest&k=1&b.dataset=sams-xpress-car-wash-locations
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=brown-bear-car-wash-locations - In plain words: "Brown Bear Car Wash Locations within 25 miles of Seattle, WA": https://locationlists.com/find?q=Brown+Bear+Car+Wash+Locations+within+25+miles+of+Seattle%2C+WA
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Brown Bear Car Wash Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 49 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=brown-bear-car-wash-locations. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
Are sites that are not open yet included?
No. Only open car wash sites are in the file. Sites Brown Bear Car Wash shows as coming soon or under construction are left out, so the count is what is operating today.
How current is it?
Snapshot built on October 2, 2026. It is a one-time snapshot and is not rebuilt on a schedule.