Komos Retailers
Worldwide: 2 countries (8,753 US) · 8,754 locations

As of October 2026, 8,754 US stores carry Komos.

8,754 stores that carry Komos (8,753 in the US): every store on Komos' own store locator on komos.com.

More about this list

Name, address, phone, website and the locator's own store details.

8,754Locations
35States
42Data Fields
October 26, 2026File built

Need just some of them? Ask in your own words.

●Where the rows are

Map of where the Komos Retailers are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

komos-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcedescriptionstore typestatusdirections urlbrand locator store idbrand locator urlbrand locator addressupdated dateplace from map pointis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisioncountycounty fipscounty noteaddress qualitycountrylatitudelongitudesource
49TH STATE BREWING CO1246 NOBLE STDenali National ParkAK99755(907) 229-5151Komos1601c349cea47b-63925775Brand store locatorGrocery / SpecialtyAñejo Cristalino | Reposado Rosa | Extra AñejoListedhttps://www.google.com/maps/dir/?api=1&destination=63.54494,-150.99954463925775https://komos.com/shop1246 NOBLE ST, DENALI NATIONAL PARK, AK 997552026-10-26NsourceDenali Borough02068completeUS63.54494-150.999544Komos store locator
896 LIQUORS1017 S COLLEGE AVENewarkDE19713(302) 368-5555http://896liquors1.placeweb.siteKomos1601c349cea47b-63923531Brand store locatorOverture Maps placeLiquor StoreAñejo Cristalino | Reposado Rosa | Extra AñejoListedhttps://www.google.com/maps/dir/?api=1&destination=39.652428,-75.7492863923531https://komos.com/shop1017 S COLLEGE AVE, NEWARK, DE 197132026-10-26YLIQUORS75bcd7e7c1-4474-4be5-b33f-08e159de2b5c896 Liquorsliquor_store24445320Beer, Wine, and Liquor Retailers5921Liquor StoresOverture category of the matched placesourceNew Castle County10003completeUS39.652428-75.74928Komos store locator
927 RESERVE927 MONMOUTH STNewportKY41071(513) 617-3172https://www.927reserveky.com/Komos1601c349cea47b-64399657Brand store locatorOverture Maps placeBarExtra AñejoListedhttps://www.google.com/maps/dir/?api=1&destination=39.0878,-84.48920164399657https://komos.com/shop927 MONMOUTH ST, NEWPORT, KY 410712026-10-26Nc1ea8c3a-4765-4380-bf6a-ef1d0dce32a8927 Reservewhiskey_bar1sourceCampbell County21037completeUS39.0878-84.489201Komos store locator
26TH STREET LIQUORS105 26TH ST E STE 100WillistonND58801(701) 572-2954https://26th-street-liquor-liquor-store.business.siteKomos1601c349cea47b-64828867Brand store locatorOverture Maps placeLiquor StoreAñejo CristalinoListedhttps://www.google.com/maps/dir/?api=1&destination=48.169122,-103.62102664828867https://komos.com/shop105 26TH ST E STE 100, WILLISTON, ND 588012026-10-26Nc4e1527c-8ad5-45f2-b4dd-d003127e98e126th Street Liquorliquor_store17445320Beer, Wine, and Liquor Retailers5921Liquor StoresOverture category of the matched placesourceWilliams County38105completeUS48.169122-103.621026Komos store locator
1776 LIQUORS597 METACOM AVEBristolRI02809(401) 253-2222https://forms.gle/NhVTreBBMH53Crcs9Komos1601c349cea47b-63926333Brand store locatorOverture Maps placeLiquor StoreAñejo CristalinoListedhttps://www.google.com/maps/dir/?api=1&destination=41.69551,-71.26464563926333https://komos.com/shop597 METACOM AVE, BRISTOL, RI 028092026-10-26YLIQUORS75b244c17e-e65d-40af-a9f8-a86be9cc44b61776 Liquorsliquor_store27445320Beer, Wine, and Liquor Retailers5921Liquor StoresOverture category of the matched placesourceBristol County44001completeUS41.69551-71.264645Komos store locator
Five sample rows; the file you buy has all 42 columns.

{}What's in each row

FieldWhat it isRows filled
brandThe brand whose store locator lists the store100%
storeIdStore id (unique per place in this file)100%
storeNameStore name as the brand's locator lists it100%
addressStreet address100%
cityCity100%
stateState or province code (US always; outside the US where the locator gives one)100%
zipZIP or postal code100%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone100%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place100%
websiteStore website71%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place71%
descriptionThe store's note on the brand's locator100%
storeTypeThe brand's own tags for the store on its locator (product lines, store types, retailer)98%
statusListed100%
directionsUrlGoogle Maps directions link100%
brandLocatorStoreIdThe store's id on the brand's locator100%
brandLocatorUrlThe brand's store locator page100%
brandLocatorAddressThe address as the brand's locator writes it in one line100%
sourceSource of the row100%
updatedDateDate the brand's locator was read100%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name28%
chainStoreCountStores with that chain name across these brand lists28%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)78%
overtureNameName of the matched Overture place78%
overtureCategoryOverture category of the matched place78%
overtureBrandBrand of the matched Overture place24%
overtureMatchMetersDistance between the store and the matched Overture place, in metres78%
naicsCodeNAICS 2022 code42%
naicsTitleNAICS title42%
sicCodeSIC code42%
sicTitleSIC title42%
industrySourceWhere the industry code came from42%
geo_precisionHow the map point was set100%
countyUS county (from the store's coordinates)100%
county_fipsUS county FIPS code100%
county_noteSet when the ZIP spans counties16%
address_qualitycomplete, no house number, po box, missing city or zip or missing100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

Each row names the public source it came from, so any record can be checked against where it was published.

October 26, 2026

Snapshot built

42 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 Komos Retailers and give it this page: it can open https://locationlists.com/find?dataset=komos-retailers 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:

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 Komos Retailers list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=komos-retailers with the same filters as query parameters.

  1. Connect your agent to https://locationlists.com/mcp (no key, no signup).
  2. Call count_locations with dataset: "komos-retailers" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $0.90 per 100 rows from this dataset. Above 4,377 rows, buying the whole file is cheaper.

Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code

?Frequently Asked Questions

How many US stores carry Komos?

As of October 2026, 8,754 US stores carry Komos.

Where does this data come from?

From Komos' own store locator on komos.com. We read every store on its map on 2026-10-26. A store the map shows twice (same name and address) is one row.

What is one row?

One store on the brand's locator, with the brand's own tags for it (storeType) and any custom fields the locator shows.

Does it include stores outside the US?

Yes. 1 of the 8,754 stores are outside the US, across 1 country. Filter on country for one market.

Where do websites and phones come from?

From the brand's locator where it gives them. Otherwise from the Overture Maps place at the same spot with the same name. phoneSource and websiteSource say which.

How complete are phones and websites?

8,754 of the 8,754 stores have a phone, and 6,227 of the 8,754 have a website.

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