Furniture Wholesaler Locations
121 US furniture wholesaler businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 121 rows · $0.95
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| American Chair & Seating | 132 Washington St | Quincy | MA | 02169 | (800) 387-6488 | https://www.chair.com/ | 64cf4a32-8a8c-43db-a481-9041a3d3c55d | furniture_wholesaler | |services_and_business|b2b_service|wholesaler|furniture_wholesaler| | wholesaler | open | 0.92 | Microsoft | 1407374892183691 | Microsoft:1407374892183691|Overture-signals:e35933fc-82bd-4d7a-80d0-3e38ddd53636 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | warehouse | 0.43 | category: "wholesaler" (warehouse) | 42.250284 | -70.997814 | |||||
| Watermark Living™ | 6303 126th Ave | Largo | FL | 33773 | (727) 254-5536 | http://watermark-living.com/ | 259bcb1d-4c39-4985-a8f7-69b8dc2b4075 | furniture_wholesaler | |services_and_business|b2b_service|wholesaler|furniture_wholesaler| | wholesaler | open | 0.92 | Microsoft | 562949962871360 | Microsoft:562949962871360|Overture-signals:104d827d-5a37-4fdb-9d4d-6242a9da93a5 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | warehouse | 0.43 | category: "wholesaler" (warehouse) | 27.887384 | -82.722847 | |||||
| David Michael Showroom | 521 N Hamilton St | High Point | NC | 27261 | (888) 265-3894 | https://www.davidmichaelfurniture.com/showroom/ | fe623291-f38c-42fd-b261-8a8fb5f981ba | furniture_wholesaler | |services_and_business|b2b_service|wholesaler|furniture_wholesaler| | wholesaler | open | 0.99 | Microsoft | 844424932429578 | Microsoft:844424932429578|Overture-signals:d5637733-b1c9-457e-8e12-63ac253d0cb8 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.25 | name: "showroom" (store); website: "showroom" (store); category: "wholesaler" (warehouse); conflict: sources disagree, confidence halved; confidence uncalibrated (1 reference rows), capped | 35.964188 | -80.009415 |
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=furniture-wholesaler-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 $0.95. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug furniture-wholesaler-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=furniture-wholesaler-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).