Allsup’s Locations

340 US Allsup’s locations, with address, phone, website and map coordinates.

$2.08for all 340 Allsup’s locations (344 listings, 4 duplicates merged), by card.

Buy the whole list — 340 rows · $2.08

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

allsups-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Allsup's Convenience Store1320 N Prince StClovisNM88101(575) 762-3731https://www.allsups.com/a7aa16e3-ba28-4578-836c-b998f61bbd36Allsup’sQ4733292convenience_store|shopping|convenience_store|convenience_storeallsupscorp@allsups.comhttps://www.facebook.com/108074799053017open0.92meta108074799053017meta:108074799053017|Overture-signals:c8607537-293e-4b4a-87ae-170cf531c8eb2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: Allsup’s34.411783-103.196976
Allsup's Convenience Store5920 S State Hwy 78SachseTX75048(972) 530-2653https://www.allsups.com/ee45c864-513f-4a6a-8fef-e4ff8ca981f6Allsup’sQ4733292convenience_store|shopping|convenience_store|convenience_storehttps://www.facebook.com/115595160077769open1.0meta115595160077769meta:115595160077769|Overture-signals:67e473fb-1e2e-423b-afe6-19740eebab942026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: Allsup’s32.976034-96.595024
Allsup's404 W 5th StPlainviewTX79072(806) 291-0295https://www.allsups.com/e1ee0d70-14d1-44ca-b6c7-8924e7d4587fAllsup’sQ4733292convenience_store|shopping|convenience_store|convenience_storehttps://www.facebook.com/628592941098431open0.92meta628592941098431meta:628592941098431|Overture-signals:394d9f55-b17b-4966-a082-04f87069c94c2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: Allsup’s34.185059-101.707092
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/.

Using ChatGPT, Claude or an API?

Ask this list a question with a link

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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:

  • The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=allsups-locations

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

Every answer shows its exact price before you pay, by card, no account; the whole list is $2.08. Counts, previews and comparisons with other lists are free.

For developers

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