Auto Upholstery Locations

1,261 US auto upholstery businesses, from national chains to single independent shops, with address, phone, website and map coordinates.

$6.82for all 1,261 auto upholstery businesses (1,269 listings, 8 duplicates merged), by card.

Buy the whole list — 1,261 rows · $6.82

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

auto-upholstery-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
The Seat Shop801 Klein Rd Ste 300PlanoTX75074-3704(214) 710-2565e5fd2faa-1e08-439c-b816-0e21cc6b0345auto_upholstery|travel_and_transportation|vehicle_service|automotive_service|auto_upholstery|automotive_serviceopen1.0BrightQuery104104797BrightQuery:1041047972026-08-13Overture Maps Foundation, CDLA-Permissive-2.0store0.82name: "shop" (store); category: auto_upholstery names a business, not premises33.00897-96.670319
MRB Upholstery3151 Butler StSpringfieldIL62703(217) 210-186459d505b3-74f5-42c9-be34-7749faf3e774auto_upholstery|travel_and_transportation|vehicle_service|automotive_service|auto_upholstery|automotive_service0.933Microsoft2251799814044561Microsoft:22517998140445612014-12-30Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: blank; category: auto_upholstery names a business, not premises39.759115-89.624275
Andre's Custom Upholstery7848 E Loma Land DrScottsdaleAZ85257(480) 945-2921http://www.andreupholstery.com/9a8f5a62-c1ed-443f-8b67-acd7f71e926bauto_upholstery|travel_and_transportation|vehicle_service|automotive_service|auto_upholstery|automotive_serviceopen0.92Microsoft562949953645763Microsoft:562949953645763|Overture-signals:5a8620ba-c56f-40a0-8eec-876bf8c58fde2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: auto_upholstery names a business, not premises33.464399-111.911331
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=auto-upholstery-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

Using LocationLists, how many auto upholstery places are in Arizona? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $6.82. Counts, previews and comparisons with other lists are free.

For developers

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