White House Black Market Locations
307 US White House Black Market locations, with address, phone, website and map coordinates.
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| White House Black Market | 6800 Oxon Hill Rd | Oxon Hill | MD | 20745-4700 | (301) 965-9393 | https://www.whitehouseblackmarket.com/locations/us/md/national-harbor/6800-oxon-hill-rd/ | 459a1942-799b-49e5-add2-e0e713ef26b6 | White House Black Market | Q7994858 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | customerservice@whitehouseblackmarket.com | https://www.facebook.com/398978503642450 | open | 0.92 | meta | 398978503642450 | meta:398978503642450|Overture-signals:651239a8-177e-48de-9ebc-cdff37411e74 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: White House Black Market | 38.795162 | -77.001339 | |
| White House Black Market | John Ringling Blvd | Sarasota | FL | 34236 | (941) 388-5033 | https://www.whitehouseblackmarket.com/locations/us/fl/sarasota/315-317-ringling-blvd/ | a40be8bb-669f-4711-a269-7bb643ca3321 | White House Black Market | Q7994858 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | customerservice@whitehouseblackmarket.com | https://www.facebook.com/153412004730525 | open | 0.92 | meta | 153412004730525 | meta:153412004730525|Overture-signals:ac7ae85b-8a2c-48f9-8ff1-13be1b468b27 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: White House Black Market | 27.318077 | -82.578526 | |
| White House Black Market | 350 84th St SW | Byron Center | MI | 49315-7001 | (616) 222-4633 | https://www.whitehouseblackmarket.com/locations/us/mi/byron-center/350-84th-street-sw/ | b0398d8d-eeee-46a1-a5c4-f53b22515b04 | White House Black Market | Q7994858 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | customerservice@whitehouseblackmarket.com | https://www.facebook.com/564521180372895 | open | 0.92 | meta | 564521180372895 | meta:564521180372895|Overture-signals:f2704051-f3e8-49a0-a58e-b7d1692eeb1b | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: White House Black Market | 42.808603 | -85.671814 |
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?
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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:
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https://locationlists.com/find?dataset=white-house-black-market-locations
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For developers
Dataset slug white-house-black-market-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=white-house-black-market-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).