Kohl's Locations

1,120 US Kohl's locations, with address, phone, website and map coordinates.

$6.09for all 1,120 Kohl's locations (1,122 listings, 2 duplicates merged), by card.

Buy the whole list — 1,120 rows · $6.09

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

kohls-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Kohl's333 BROADWAYSAUGUSMA01906https://www.kohls.com/stores/ma/saugus-729.shtml875d7b17-02ed-4e5e-8f72-f3dd12bff7fcKohl'sQ967265Q967265department_store|shopping|department_store|department_storeopen0.949AllThePlacescOSsprHtb27eODZy9uxKbRMk6tM=AllThePlaces:cOSsprHtb27eODZy9uxKbRMk6tM=|Overture-signals:165a0a65-9044-41e9-aa2e-4522262a31512026-08-05Overture Maps Foundation, CDLA-Permissive-2.0store0.98website: "stores" (store); category: "store" (store); brand: Kohl's42.489586-71.020012
Kohl's333 RT-18East BrunswickNJ08816-2107(732) 651-2386https://www.kohls.com/stores/nj/eastbrunswick-616.shtml68da314f-1fb1-43db-adb7-db0baeed1368Kohl'sQ967265department_store|shopping|department_store|department_storecustomer.service@kohls.comhttps://www.facebook.com/160803823946937open0.947meta160803823946937meta:160803823946937|Overture-signals:fb2c8876-b4c7-48b7-9e0a-e4a1d96507b12026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.98website: "stores" (store); category: "store" (store); brand: Kohl's40.453951-74.401836
Kohl's1355 Ety Pointe Dr NWLancasterOH43130(740) 654-4182https://www.kohls.com/stores/oh/lancaster-1204.shtml4019b6d2-a32f-427e-a70a-85a2156766a5Kohl'sQ967265department_store|shopping|department_store|department_storecustomer.service@kohls.comhttps://www.facebook.com/136579013058584open1.0meta136579013058584meta:136579013058584|Overture-signals:eb353f4b-4eb0-423b-b84e-dfdbc61d36962026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.98website: "stores" (store); category: "store" (store); brand: Kohl's39.73679-82.642094
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=kohls-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

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

Every answer shows its exact price before you pay, by card, no account; the whole list is $6.09. Counts, previews and comparisons with other lists are free.

For developers

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