Mattress Warehouse Locations

402 US Mattress Warehouse locations, with address, phone, website and map coordinates.

$2.39for all 402 Mattress Warehouse locations (405 listings, 3 duplicates merged), by card.

Buy the whole list — 402 rows · $2.39

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

mattress-warehouse-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Lakewood Mattress Warehouse9810 40th Ave SW Ste BLakewoodWA98499(253) 666-2115https://lakewoodmattresswarehouse.com/7839dc55-9013-4040-acb7-1ad555397718Mattress WarehouseQ61995079mattress_store|shopping|specialty_store|hardware_home_and_garden_store|mattress_store|hardware_home_and_garden_storelaferjensen@gmail.comhttps://www.facebook.com/174578889073788open0.92meta174578889073788meta:174578889073788|Overture-signals:37ec022b-54da-44b2-82e1-35384788580f2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.42name: "warehouse" (warehouse); category: "store" (store); brand: Mattress Warehouse; conflict: sources disagree, confidence halved47.168137-122.491066
Mattress Warehouse1602 S Stratford RdWinston-SalemNC27103-2958(743) 219-1957https://mattresswarehouse.com/store-locator/mattress-warehouse-of-winston_salem_stratford_nc-0252-winston_salem-north_carolina44f6351d-1503-4fd5-9b78-208be9f23decMattress WarehouseQ61995079mattress_store|shopping|specialty_store|hardware_home_and_garden_store|mattress_store|hardware_home_and_garden_storeinfo@mattresswarehouse.comhttps://www.facebook.com/1020560764816698open1.0meta1020560764816698meta:1020560764816698|Overture-signals:d5918914-9d15-4ac8-a3e4-e1db3dc0f9c22026-08-10Overture Maps Foundation, CDLA-Permissive-2.0warehouse0.25name: "warehouse" (warehouse); website: "warehouse" (warehouse); category: "store" (store); brand: Mattress Warehouse; conflict: sources disagree, confidence halved; confidence uncalibrated (1 reference rows), capped36.071306-80.304333
Mattress Warehouse of Tamaqua45 Plaza Dr #309NRush TwpPA18252(570) 340-0485https://mattresswarehouse.com/store-locator/mattress-warehouse-of-tamaqua_pa-0147-tamaqua-pennsylvaniaeac3db58-9c14-4ff9-9135-8c7e44fda43bMattress WarehouseQ61995079mattress_store|shopping|specialty_store|hardware_home_and_garden_store|mattress_store|hardware_home_and_garden_storeinfo@mattresswarehouse.comhttps://www.facebook.com/859118067529195open1.0meta859118067529195meta:859118067529195|Overture-signals:33e58f9e-a48b-48d0-9cf7-e6ff1c0943492026-08-10Overture Maps Foundation, CDLA-Permissive-2.0warehouse0.25name: "warehouse" (warehouse); website: "warehouse" (warehouse); category: "store" (store); brand: Mattress Warehouse; conflict: sources disagree, confidence halved; confidence uncalibrated (1 reference rows), capped40.836185-75.987728
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=mattress-warehouse-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

Using LocationLists, how many Mattress Warehouse locations are in Pennsylvania? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $2.39. Counts, previews and comparisons with other lists are free.

For developers

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