Which Wich Locations
434 US Which Wich 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Which Wich Atlantic Station | 265 18th St NW Ste 4100 | Atlanta | GA | 30363 | (404) 254-3260 | http://locations.whichwich.com/GA/Atlanta/Atlantic-Station | 1e4d8dd3-6064-414e-a2d6-c12e5bf67232 | Which Wich | Nwhichwich | dog_park | |sports_and_recreation|park|dog_park| | dog_park | open | 0.966 | Microsoft | 1125899910308193 | Microsoft:1125899910308193|Overture-signals:5aea5aef-a8aa-4468-b3cc-26dff1eecf17 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: dog_park names a business, not premises | 33.792416 | -84.397064 | ||||
| Which Wich Cameron Village - Permanently Closed | 413 Woodburn Rd Spc A0154 | Raleigh | NC | 27605-1323 | (919) 833-9424 | http://order.whichwich.com | 10cc884e-9e2d-448a-a7a4-93338ed4a7a0 | Which Wich | Nwhichwich | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | open | 0.982 | BrightQuery | 85723101 | BrightQuery:85723101|Overture-signals:05c8f90d-a5cc-4114-ab46-d9e1d348e96a | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Which Wich | 35.790129 | -78.660297 | |||
| Which Wich Superior Sandwiches | 5801 Long Prairie Rd Ste 690 | Flower Mound | TX | 75028 | (972) 539-2333 | http://locations.whichwich.com/TX/Flower-Mound/Flower-Mound | c51804a8-852f-4b9b-88a7-0b549a775e2a | Which Wich | Nwhichwich | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | open | 0.92 | Microsoft | 1125899910308202 | Microsoft:1125899910308202|Overture-signals:e719d498-60ac-4bf1-9f97-6e3dea1da2f0 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Which Wich | 33.06296 | -97.082832 |
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=which-wich-locations
Ask in ChatGPT or Claude
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Every answer shows its exact price before you pay, by card, no account; the whole list is $2.56. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug which-wich-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=which-wich-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).