Countertop Installation Locations
12,105 US countertop installation businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 12,105 rows · $62.99
Over 10,000 rows, we build the file after you pay and email you the link, about 2 minutes later.
Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Williams Cabinet | 728 Old Hwy 79 | Dover | TN | 37058 | (931) 232-5863 | https://www.williamscabinet.simplesite.com | 50972838-3ff3-4e47-942d-ce1739856495 | countertop_installation | |services_and_business|home_service|countertop_installation| | home_service | williamscabinetsandwoodworking@gmail.com | https://www.facebook.com/286989919961 | open | 0.92 | meta | 286989919961 | meta:286989919961|Overture-signals:4b18e6f2-941b-4822-ae1b-a1509d973e95 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: countertop_installation names a business, not premises | 36.513161 | -87.797661 | ||||
| American Cabinets | 500 Lanier Rd Bldg 1, Suite B | Madison | AL | 35758 | (256) 937-7777 | http://Americancabinets.us/ | ce14e43b-ea07-4692-8368-ea5f51c21533 | countertop_installation | |services_and_business|home_service|countertop_installation| | home_service | sales@americancabinets.us | https://www.facebook.com/239477552588172 | open | 0.555 | meta | 239477552588172 | meta:239477552588172|Overture-signals:efe63cac-4b66-4a59-9d3c-0742fd084a61 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: countertop_installation names a business, not premises | 34.685396 | -86.739441 | ||||
| BTR Cabinets and More | 16393 State Hwy 155 | Ore City | TX | 75683 | (903) 801-0764 | 91580f84-03bd-4ac5-b786-91d726b14121 | countertop_installation | |services_and_business|home_service|countertop_installation| | home_service | btrcabinetsandmore@gmail.com | https://www.facebook.com/447676325095326 | open | 0.92 | meta | 447676325095326 | meta:447676325095326|Overture-signals:fa1c1020-1f3d-4a5e-96a0-d174f30d8492 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: blank; category: countertop_installation names a business, not premises | 32.845949 | -94.716949 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=countertop-installation-locations
Ask in ChatGPT or Claude
Copy this and paste it in:
Every answer shows its exact price before you pay, by card, no account; the whole list is $62.99, we email the file when it's built (about 2 minutes). Counts, previews and comparisons with other lists are free.
For developers
Dataset slug countertop-installation-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=countertop-installation-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).