Schlotzsky's Locations

431 US Schlotzsky's locations, with address, phone, website and map coordinates.

$2.55for all 431 Schlotzsky's locations (432 listings, 1 duplicate merged), by card.

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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

schlotzskys-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Schlotzskys408 W Juanita AveMesaAZ85210(480) 833-6540https://www.schlotzskys.com/arizona/mesa/1917a0b17f17-77dc-43f1-96e9-08a329a9c3c0Schlotzsky'sNschlotzskysdelicatessen|food_and_drink|casual_eatery|delicatessen|casual_eateryrrbts11@yahoo.comhttps://www.facebook.com/161397120649773open0.997meta161397120649773meta:161397120649773|Overture-signals:e0ec8084-43a7-47b4-9f2c-0ae6dde580ab2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: delicatessen names a business, not premises33.382685-111.840614
Schlotzsky's1140 N Higley Rd Ste 103MesaAZ85205(480) 654-8028df49f89a-a4bf-4b6b-9e02-9356ef3af178Schlotzsky'sNschlotzskyssandwich_shop|food_and_drink|casual_eatery|sandwich_shop|casual_eateryopen0.92Microsoft562949954888695Microsoft:562949954888695|Overture-signals:44d599f6-5834-40d0-8a93-845b67c4724a2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.43category: "shop" (store); brand: Schlotzsky's33.436554-111.721077
Schlotzsky's3598 Lamar AveParisTX75460-5026(903) 905-4916www.schlotzskys.com3e338ee6-e710-43d0-af60-09d08d1b26e4Schlotzsky'sNschlotzskyssandwich_shop|food_and_drink|casual_eatery|sandwich_shop|casual_eateryopen0.964BrightQuery82814983BrightQuery:82814983|Overture-signals:3ddeaeb8-3c04-445a-820b-9f8443003fbd2026-08-13Overture Maps Foundation, CDLA-Permissive-2.0store0.43category: "shop" (store); brand: Schlotzsky's33.659754-95.510098
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/.

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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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Using LocationLists, how many Schlotzsky's locations are in Texas? Show a sample and the price.

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For developers

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