BREZ Retailers
United States · 5,510 locations
As of October 2026, 5,510 US stores carry BREZ.
5,510 stores that carry BREZ (5,510 in the US): every store on BREZ's own store locator on drinkbrez.com.
More about this list
Name, address, phone, website and the locator's own store details.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| store name | address | city | state | zip | phone | website | brand | store id | phone source | website source | store type | status | directions url | brand locator store id | brand locator url | updated date | stockist filters | stockist filter ids | stockist custom field ids | custom google maps | src priority | is chain | chain name | chain store count | overture place id | overture name | overture category | overture brand | overture match meters | overture match basis | brand locator name | naics code | naics title | sic code | sic title | industry source | country source | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Juneau Veterinary Hospital | 8367 Old Dairy Rd | Juneau | AK | 99801 | (907) 789-3444 | http://www.juneauvet.com/ | BREZ | u23010-loc_exke652v | Overture Maps place | Overture Maps place | FUNCTIONAL | Listed | https://www.google.com/maps/dir/?api=1&destination=58.360672,-134.570171 | loc_exke652v | https://www.drinkbrez.com/pages/storelocator | 2026-10-20 | FUNCTIONAL | flt_9pqk5q9p | Google Maps=fld_k7e6qgy4 | https://www.google.com/maps/search/?api=1&query=58.36070402%2C-134.57033901&query_place_id=ChIJdTeBRyceAVQRINvppBUGpYY | 0 | N | 995c6d12-8f48-4de8-8295-e5bc270e2d91 | Juneau Veterinary Hospital | veterinarian | 17 | name and location | 541940 | Veterinary Services | 0742 | Veterinary Services for Animal Specialties | Overture category of the matched place | source | Juneau City and Borough | 02110 | complete | 8000 | US | 58.360672 | -134.570171 | BREZ store locator | ||||||
| 2536 Food Mart | 2536 marietta hwy | Dallas | GA | 30157 | BREZ | u23010-loc_g2m79zw7 | FUNCTIONAL | Listed | https://www.google.com/maps/dir/?api=1&destination=33.92574268,-84.74856685 | loc_g2m79zw7 | https://www.drinkbrez.com/pages/storelocator | 2026-10-20 | FUNCTIONAL | flt_9pqk5q9p | Google Maps=fld_k7e6qgy4 | https://www.google.com/maps/search/?api=1&query=33.9253667%2C-84.7487088&query_place_id=ChIJGfLlZ0E69YgR_BfCIlP9YVQ | 0 | Y | Food Mart | 45 | source | Paulding County | 13223 | ZIP 30157 spans 2 counties; assigned to the county holding 99% of its land area | complete | US | 33.92574268 | -84.74856685 | BREZ store locator | ||||||||||||||||||
| 7 Eleven | 9709 Beaver Dam Road | Cockeysville | MD | 21030 | (410) 666-5740 | https://www.7-eleven.com/ | BREZ | u23010-loc_k69yj8pq | Overture Maps place | Overture Maps place | FUNCTIONAL | Listed | https://www.google.com/maps/dir/?api=1&destination=39.45808646,-76.64121126 | loc_k69yj8pq | https://www.drinkbrez.com/pages/storelocator | 2026-10-20 | FUNCTIONAL | flt_9pqk5q9p | Google Maps=fld_k7e6qgy4 | https://www.google.com/maps/search/?api=1&query=39.4581081%2C-76.641224&query_place_id=ChIJP6m7bwASyIkRW5_3u1UIcaA | 0 | Y | 7 Eleven | 10735 | 25b89c6a-3d79-432c-9f70-94bb3f58919d | 7-Eleven | convenience_store | 28 | name and location | 445131 | Convenience Retailers | 5411 | Grocery Stores | Overture category of the matched place | source | Baltimore County | 24005 | complete | US | 39.45808646 | -76.64121126 | BREZ store locator | |||||
| Denys Beer & Smoke | 69 Lafayette Rd | North Hampton | NH | 03862 | BREZ | u23010-loc_rk28gqeq | FUNCTIONAL | Listed | https://www.google.com/maps/dir/?api=1&destination=42.973086,-70.834317 | loc_rk28gqeq | https://www.drinkbrez.com/pages/storelocator | 2026-10-20 | FUNCTIONAL | flt_9pqk5q9p | Google Maps=fld_k7e6qgy4 | https://www.google.com/maps/search/?api=1&query=42.973097%2C-70.8343857&query_place_id=ChIJRUi9i_Pp4okRpkGS5VSvA30 | 0 | N | source | Rockingham County | 33015 | complete | US | 42.973086 | -70.834317 | BREZ store locator | |||||||||||||||||||||
| Bay Naturals (Myrtle Beach) | 7611 North Kings Highway | Myrtle Beach | SC | 29572 | BREZ | u23010-loc_7gen5mrq | FUNCTIONAL | Listed | https://www.google.com/maps/dir/?api=1&destination=33.74699426,-78.81894329 | loc_7gen5mrq | https://www.drinkbrez.com/pages/storelocator | 2026-10-20 | FUNCTIONAL | flt_9pqk5q9p | Google Maps=fld_k7e6qgy4 | https://www.google.com/maps/search/?api=1&query=33.7482681%2C-78.8200651&query_place_id=ChIJYYySPOllAIkRlDZNHOm15kE | 0 | Y | Bay Naturals | 7 | source | Horry County | 45051 | complete | US | 33.74699426 | -78.81894329 | BREZ store locator |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The brand whose store locator lists the store | 100% |
| store | Store id (unique per place in this file) | 100% |
| store | Store name as the brand's locator lists it | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | State or province code (US always; outside the US where the locator gives one) | 100% |
| zip | ZIP or postal code | 99% |
| country | Two-letter country code | 100% |
| latitude | Latitude | 100% |
| longitude | Longitude | 100% |
| phone | Store phone | 69% |
| phone | Where the phone came from: the brand's store locator, or the matched Overture place | 69% |
| website | Store website | 64% |
| website | Where the website came from: the brand's store locator, or the matched Overture place | 64% |
| store | The brand's own tags for the store on its locator (product lines, store types, retailer) | 79% |
| status | Listed | 100% |
| directions | Google Maps directions link | 100% |
| brand | The store's id on the brand's locator | 100% |
| brand | The brand's store locator page | 100% |
| source | Source of the row | 100% |
| updated | Date the brand's locator was read | 100% |
| stockist | The locator's filter tags on this store | 79% |
| stockist | Ids of those filter tags | 79% |
| stockist | Ids of the locator's custom fields set on this store | 79% |
| custom_ | A custom field the brand's locator shows for the store: Google Maps | 79% |
| src_ | Another field the brand's locator publishes for the store: priority | 100% |
| is | Y when 5 or more stores in these brand lists carry the same store name | 100% |
| chain | Chain name | 47% |
| chain | Stores with that chain name across these brand lists | 47% |
| overture | Overture Maps place id of the matched place (join key to Overture data) | 66% |
| overture | Name of the matched Overture place | 66% |
| overture | Overture category of the matched place | 66% |
| overture | Brand of the matched Overture place | 38% |
| overture | Distance between the store and the matched Overture place, in metres | 66% |
| overture | overtureMatchBasis | 66% |
| naics | NAICS 2022 code | 61% |
| naics | NAICS title | 61% |
| sic | SIC code | 61% |
| sic | SIC title | 61% |
| industry | Where the industry code came from | 61% |
| geo_ | How the map point was set | 100% |
| county | US county (from the store's coordinates) | 100% |
| county_ | US county FIPS code | 100% |
| county_ | Set when the ZIP spans counties | 24% |
| address_ | complete, no house number, po box, missing city or zip or missing | 100% |
| zip4 | ZIP+4 extension | 2% |
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 20, 2026
Snapshot built
48 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 BREZ Retailers and give it this page: it can open https://locationlists.com/find?dataset=brez-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:
- Only Texas, the state with the most: https://locationlists.com/find?dataset=brez-retailers&state=TX
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=brez-retailers&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=brez-retailers&near=New+York+NY&drive=30
- Only rows where isChain is Y: https://locationlists.com/find?dataset=brez-retailers&where=isChain%3Aeq%3AY
- Every Nicotine, Vape & Cannabis list combined, within 25 miles of New York, NY: https://locationlists.com/find?category=nicotine-vape-and-cannabis&near=New+York+NY&radius=25
- Each one's nearest Kiva Confections Retailers, in Texas, with miles: https://locationlists.com/find?dataset=brez-retailers&state=TX&relate=nearest&k=1&b.dataset=kiva-confections-retailers&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=brez-retailers - In plain words: "BREZ Retailers in Texas": https://locationlists.com/find?q=BREZ+Retailers+in+Texas
- In plain words: "BREZ Retailers within 25 miles of New York, NY": https://locationlists.com/find?q=BREZ+Retailers+within+25+miles+of+New+York%2C+NY
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 BREZ 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=brez-retailers with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "brez-retailers"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $1.43 per 100 rows from this dataset. Above 2,755 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 BREZ?
As of October 2026, 5,510 US stores carry BREZ.
Where does this data come from?
From BREZ's own store locator on drinkbrez.com. We read every store on its map on 2026-10-20. 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?
3,783 of the 5,510 stores have a phone, and 3,532 of the 5,510 have a website.