Bagel Shop Locations

5,947 US bagel shop businesses, from national chains to single independent shops, with address, phone, website and map coordinates.

$85.65for all 5,947 bagel shop businesses (6,037 listings, 90 duplicates merged), by card.

Buy the whole list — 5,947 rows · $85.65

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

bagel-shop-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Donut Palace801 S Greenville Ave Ste 103AllenTX75002(972) 390-9653http://www.thedonutpalace.com01c5df99-9178-4892-b2c4-9fdf31bd5f5eDonut Palace Carthage, MONdonutpalacecarthagemobagel_shop|food_and_drink|casual_eatery|bagel_shop|casual_eateryopen0.92Foursquare7cc5a8a01e18012f487f54d8Foursquare:7cc5a8a01e18012f487f54d8|Overture-signals:3e0bae95-724e-48a5-a281-cdec19e3c61d2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.43category: "shop" (store); brand: Donut Palace Carthage, MO33.086409-96.670509
Brueggers Bagels2302 Hillsborough StRaleighNC27607(919) 828-7103https://locations.brueggers.com/us/nc/raleigh/2302-hillsborough-st823b55dd-b644-4bb9-9894-b573b5380b9aBruegger's BagelsQ4978656bagel_shop|food_and_drink|casual_eatery|bagel_shop|casual_eateryfranchise@brueggers.comhttps://www.facebook.com/495953813768027open0.991meta495953813768027meta:495953813768027|Overture-signals:f65a1a3a-add8-4ecd-b853-4f41515564f22026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.43category: "shop" (store); brand: Bruegger's Bagels35.787384-78.665981
Krispy Kreme1401 College StSulphur SpringsTX75482(903) 885-7440http://www.krispykreme.com6264f0bf-8aa9-4e3e-bec2-50c2da4b2ab5bagel_shop|food_and_drink|casual_eatery|bagel_shop|casual_eateryopen0.92Foursquarecf5255e4634e4c01921b9655Foursquare:cf5255e4634e4c01921b9655|Overture-signals:067c9344-8b38-4bf0-a910-ac069fd0b9202026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.43category: "shop" (store)33.136858-95.569519
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

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=bagel-shop-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

Using LocationLists, how many bagel shop places 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 $85.65. Counts, previews and comparisons with other lists are free.

For developers

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