Charleys Cheesesteaks Locations
785 US Charleys Cheesesteaks 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Charleys Cheesesteaks | 1960 US Hwy 70 SE | Hickory | NC | 28602 | (828) 328-1300 | https://order.charleys.com/menu/valley-hills-mall/ | 910e01d4-1787-4229-8bf2-61fbf9cfc87c | Charleys Cheesesteaks | Ncharleyscheesesteaks | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | calvin718@gmail.com | https://www.facebook.com/1446839252039910 | open | 1.0 | meta | 1446839252039910 | meta:1446839252039910|Overture-signals:4dff1f1b-8345-48f0-89f9-0aa138420be6 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Charleys Cheesesteaks | 35.704035 | -81.304703 | |
| Charleys Cheesesteaks | 3301 Veterans Memorial Blvd Ste 78E | Metairie | LA | 70003 | (504) 309-1092 | https://order.charleys.com/menu/lakeside-mall-la/ | ea7717cb-297a-4fef-ac40-8750ee1d2f98 | Charleys Cheesesteaks | Ncharleyscheesesteaks | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | malina208@yahoo.com | https://www.facebook.com/120315505326933 | open | 0.959 | meta | 120315505326933 | meta:120315505326933|Overture-signals:6d51531b-b855-4db0-9074-44e622dce13f | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Charleys Cheesesteaks | 30.00655 | -90.156609 | |
| Charleys Cheesesteaks | 9647 SW Washington Square Rd | Tigard | OR | 97223 | (971) 772-6757 | https://order.charleys.com/menu/washington-square-mall/ | c16b6938-6020-4928-979a-dfb98ecd6c97 | Charleys Cheesesteaks | Ncharleyscheesesteaks | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | helenhuang0703@gmail.com | https://www.facebook.com/1750245978324976 | open | 1.0 | meta | 1750245978324976 | meta:1750245978324976|Overture-signals:0c4bdf1a-41bc-4984-aa78-b0944d9f7039 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Charleys Cheesesteaks | 45.450005 | -122.780251 |
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=charleys-cheesesteaks-locations
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For developers
Dataset slug charleys-cheesesteaks-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=charleys-cheesesteaks-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).