Fogbuster Coffee Retailers
United States · 714 locations

714 stores that carry Fogbuster Coffee (714 in the US): every store on Fogbuster Coffee's own store locator on fogbustercoffee.com.

More about this list

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

714Locations
19States
41Data Fields
October 17, 2026File built

The file has all 714 locations across 19 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.

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

●Where the rows are

Map of where the Fogbuster Coffee 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

fogbuster-coffee-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcedescriptionstatusdirections 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
Briar Patch Community Market290 Sierra College DriveGrass ValleyCA95945Fogbuster Coffee16973bd5de58e6-64399243Listedhttps://www.google.com/maps/dir/?api=1&destination=39.234924,-121.05343764399243https://fogbustercoffee.com/pages/store-locator-map290 Sierra College Drive, Grass Valley, CA 95945, USA2026-10-17NsourceNevada County06057completeUS39.234924-121.053437Fogbuster Coffee store locator
HARRIS TEETERLONG NECK BACK BAYLong NeckDE19966Fogbuster Coffee16973bd5de58e6-64399108HARRIS TEETER 336Listedhttps://www.google.com/maps/dir/?api=1&destination=38.630075,-75.14974864399108https://fogbustercoffee.com/pages/store-locator-mapLONG NECK BACK BAY, LONG NECK, DE 19966, USA2026-10-17YHARRIS TEETER1176sourceSussex County10005no_house_numberUS38.630075-75.149748Fogbuster Coffee store locator
Adams Donuts348 Federal StreetGreenfieldMA01301(413) 325-8247http://www.adamsdonuts.comFogbuster Coffee16973bd5de58e6-64399405Overture Maps placeOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=42.602909,-72.59232964399405https://fogbustercoffee.com/pages/store-locator-map348 Federal Street, Greenfield, MA 01301, USA2026-10-17N7bdb7589-ad59-4f76-9bec-42ba2751077dAdams Donut Shopdonut_shop11sourceFranklin County25011completeUS42.602909-72.592329Fogbuster Coffee store locator
Dartmouth College6172 Class 1953 CommonsHanoverNH03755(603) 646-1110https://students.dartmouth.edu/social-impactFogbuster Coffee16973bd5de58e6-64399160Overture Maps placeOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=43.703041,-72.29093564399160https://fogbustercoffee.com/pages/store-locator-map6172 Class 1953 Commons, Hanover, NH 03755, USA2026-10-17Nc31c6837-ca2b-479e-97f4-ec951e67518aDartmouth College: Sigma Deltacollege_university98611310Colleges, Universities, and Professional Schools8221Colleges, Universities, and Professional SchoolsOverture category of the matched placesourceGrafton County33009completeUS43.703041-72.290935Fogbuster Coffee store locator
Dave's Marketplace125 Tower Hill RoadN. KingstownRI02852(401) 268-3991http://www.davesmarketplace.com/Fogbuster Coffee16973bd5de58e6-64399151Overture Maps placeOverture Maps placeStore #5 WickfordListedhttps://www.google.com/maps/dir/?api=1&destination=41.570764,-71.46269564399151https://fogbustercoffee.com/pages/store-locator-map125 Tower Hill Road, N. Kingstown, RI 02852, USA2026-10-17YDave's Marketplace10c0c3f40e-074a-49fd-8c62-874829572fcfDave's Marketplacegrocery_storeIGA76445110Supermarkets and Other Grocery Retailers (except Convenience Retailers)5411Grocery StoresOverture category of the matched placesourceWashington County44009completeUS41.570764-71.462695Fogbuster Coffee store locator
Five sample rows; the file you buy has all 41 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 phone80%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place80%
websiteStore website80%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place80%
descriptionThe store's note on the brand's locator76%
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 name69%
chainStoreCountStores with that chain name across these brand lists69%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)82%
overtureNameName of the matched Overture place82%
overtureCategoryOverture category of the matched place81%
overtureBrandBrand of the matched Overture place55%
overtureMatchMetersDistance between the store and the matched Overture place, in metres82%
naicsCodeNAICS 2022 code72%
naicsTitleNAICS title72%
sicCodeSIC code72%
sicTitleSIC title72%
industrySourceWhere the industry code came from72%
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 counties21%
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 17, 2026

Snapshot built

41 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 Fogbuster Coffee Retailers and give it this page: it can open https://locationlists.com/find?dataset=fogbuster-coffee-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 Fogbuster Coffee Retailers list.

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

For developers

At 714 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=fogbuster-coffee-retailers. 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

Where does this data come from?

From Fogbuster Coffee's own store locator on fogbustercoffee.com. We read every store on its map on 2026-10-17. 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?

No. Every store in this list is in the US.

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?

573 of the 714 stores have a phone, and 568 of the 714 have a website.

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