Kitchen Remodeling Locations

1,451 US kitchen remodeling businesses, from national chains to single independent shops, with address, phone, website and map coordinates.

$7.96for all 1,451 kitchen remodeling businesses (1,470 listings, 19 duplicates merged), by card.

Buy the whole list — 1,451 rows · $7.96

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

kitchen-remodeling-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Hilton Head Kitchen & Tile Studio86 Beach City Rd Ste AHilton Head IslandSC29926(843) 689-3528http://www.hhktstone.com/94db8fee-6aa3-4cfe-9072-806e8f57c860kitchen_remodeling|services_and_business|home_service|kitchen_remodeling|home_serviceopen0.92Microsoft1407374885608070Microsoft:1407374885608070|Overture-signals:4f6c4ee4-e085-4d65-93dd-67fa2dbc553f2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: kitchen_remodeling names a business, not premises32.226061-80.70295
Kitchen Remodeling Pros of Plano4757 West Park Blvd Ste 113PlanoTX75093(469) 838-3940https://www.manukakitchen.com/kitchen-remodeling-plano-tx/9d71db92-c71a-4120-adcd-e1014f528427kitchen_remodeling|services_and_business|home_service|kitchen_remodeling|home_service0.85Microsoft1407374888206128Microsoft:14073748882061282025-08-27Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: kitchen_remodeling names a business, not premises33.027784-96.790359
Lavin Home Remodel42 Villa MilanoLake ElsinoreCA92532(951) 233-1522http://www.lavinhomeremodel.com/b860ee65-873d-444d-b18c-8f6fad1bee7ekitchen_remodeling|services_and_business|home_service|kitchen_remodeling|home_serviceopen0.92Microsoft1407374891351048Microsoft:1407374891351048|Overture-signals:7c6c1a55-12df-464e-8f08-c2ddd9bd37b32026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: kitchen_remodeling names a business, not premises33.682711-117.284431
Three sample rows; the file you buy has all 28 columns.

What's in each row

FieldWhat it is
overture_idMap data id for the place, stable across monthly releases
nameBusiness name
brandBrand or chain name, when the place belongs to one
brand_idOur id for that brand (its Wikidata id where one exists)
wikidataWikidata id of the brand
categoryKind of place, from the map data
category_pathThe category with every broader category above it
basic_categoryA broader, simpler category
addressStreet address
cityCity
stateState (two-letter code)
zipZIP code
phonePhone number
websiteWebsite
emailEmail address
socialSocial media page
latitudeLatitude
longitudeLongitude
operating_statusWhether the place is open, where the source says; closed places are left out of the list
confidenceHow sure the map data is that the place exists (0 to 1)
source_datasetWhich source contributed the record
source_record_idThe record's id in that source
source_idsEvery source record merged into this row
source_updatedWhen the source last updated the record
data_licenseThe license the row is published under
location_typeKind of premises: store, office, branch, warehouse and so on, read from the name, website and category
location_type_confidenceHow sure the location type is (0 to 1)
location_type_basisWhat 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=kitchen-remodeling-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

Using LocationLists, how many kitchen remodeling places are in New Jersey? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $7.96. Counts, previews and comparisons with other lists are free.

For developers

Dataset slug kitchen-remodeling-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=kitchen-remodeling-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).