QC Cheese Retailers
Worldwide: 2 countries (3,938 US) · 3,939 locations

3,939 stores that carry QC Cheese (3,938 in the US): every store on QC Cheese's own store locator on qccheese.com.

More about this list

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

3,939Locations
40States
44Data Fields
October 17, 2026File built

The file has all 3,939 locations across 40 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 QC Cheese 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

qc-cheese-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcedescriptionstatusdirections urlbrand locator store idbrand locator urlbrand locator addressupdated datesrc facebooksrc instagramsrc twitterplace from map pointis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisioncountycounty fipscounty noteaddress qualitycountrylatitudelongitudesource
Fred Meyer1000 E. NORTHERN LIGHTS BLVD.AnchorageAKQC Cheese15d51d8dd97036-45506137Listedhttps://www.google.com/maps/dir/?api=1&destination=61.195132,-149.86621745506137https://www.qccheese.com/1000 E. NORTHERN LIGHTS BLVD. , ANCHORAGE, AK2026-10-17YFred Meyer645sourceAnchorage Municipality02020completeUS61.195132-149.866217QC Cheese store locator
Harris Teeter4800 1st Coast HwyFernandina BeachFL32034(904) 849-5545https://www.harristeeter.com/d/fuel-points-program?cid=loc_09700044F_bgQC Cheese15d51d8dd97036-22208214Overture Maps placeOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=30.591575,-81.45808222208214https://www.qccheese.com/4800 1st Coast Hwy, Fernandina Beach, FL 320342026-10-17000YHarris Teeter1176b379df3e-db37-4790-a8cb-0b530a3b29fdHarris Teeter Fuel Centergas_station148457110Gasoline Stations with Convenience Stores5541Gasoline Service StationsOverture category of the matched placesourceNassau County12089completeUS30.591575-81.458082QC Cheese store locator
Now Available in Select Shaw's Supermarkets!MassachusettsMAQC Cheese15d51d8dd97036-35110431Listedhttps://www.google.com/maps/dir/?api=1&destination=42.407211,-71.38243935110431https://www.qccheese.com/Massachusetts2026-10-17YYNow Available in Select Shaw's Supermarkets!5sourceMiddlesex County25017no_house_numberUS42.407211-71.382439QC Cheese store locator
BAKER'S STORE #319888 SADDLECREEK RDOmahaNE68106(402) 551-0613https://www.bakersplus.com/stores/grocery/ne/omaha/saddlecreek/615/00319?cid=loc_61500319_fbQC Cheese15d51d8dd97036-44921478Overture Maps placeOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=41.250863,-95.98705444921478https://www.qccheese.com/888 SADDLECREEK RD, OMAHA, NE 681062026-10-17YBAKER'S12f7080e92-043d-426c-930b-bb0f39740087Baker'sgrocery_storeBakers22445110Supermarkets and Other Grocery Retailers (except Convenience Retailers)5411Grocery StoresOverture category of the matched placesourceDouglas County31055completeUS41.250863-95.987054QC Cheese store locator
Food Lion701 HWY 11 WESTChurch HillTN37642(423) 357-3323http://Www.foodlion.com/QC Cheese15d51d8dd97036-19923965Overture Maps placeOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=36.529974,-82.68291419923965https://www.qccheese.com/701 HWY 11 WEST CHURCH HILL TN 376422026-10-17YFood Lion908202a5bba-85cd-4e87-a11c-d28c0724e63cFood Lion 1497 Church Hill, Tennesseegrocery_storeFood Lion10445110Supermarkets and Other Grocery Retailers (except Convenience Retailers)5411Grocery StoresOverture category of the matched placesourceHawkins County47073completeUS36.529974-82.682914QC Cheese store locator
Five sample rows; the file you buy has all 44 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%
cityCity85%
stateState or province code (US always; outside the US where the locator gives one)100%
zipZIP or postal code87%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone77%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place77%
websiteStore website75%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place75%
descriptionThe store's note on the brand's locator2%
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%
src_facebookAnother field the brand's locator publishes for the store: facebook5%
src_instagramAnother field the brand's locator publishes for the store: instagram5%
src_twitterAnother field the brand's locator publishes for the store: twitter5%
placeFromMapPointY when the locator gave no country or state and the store's map point set them3%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name97%
chainStoreCountStores with that chain name across these brand lists97%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)76%
overtureNameName of the matched Overture place76%
overtureCategoryOverture category of the matched place76%
overtureBrandBrand of the matched Overture place64%
overtureMatchMetersDistance between the store and the matched Overture place, in metres76%
naicsCodeNAICS 2022 code75%
naicsTitleNAICS title75%
sicCodeSIC code75%
sicTitleSIC title75%
industrySourceWhere the industry code came from75%
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 counties27%
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

44 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 QC Cheese Retailers and give it this page: it can open https://locationlists.com/find?dataset=qc-cheese-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 QC Cheese Retailers list.

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

For developers

At 3,939 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=qc-cheese-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 QC Cheese's own store locator on qccheese.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?

Yes. 1 of the 3,939 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?

3,030 of the 3,939 stores have a phone, and 2,961 of the 3,939 have a website.

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