dd's DISCOUNTS Locations

374 US dd's DISCOUNTS locations, with address, phone, website and map coordinates.

$2.25for all 374 dd's DISCOUNTS locations (376 listings, 2 duplicates merged), by card.

Buy the whole list — 374 rows · $2.25

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

dds-discounts-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
dd's DISCOUNTS3700 Klose WayRichmondCA94806(510) 669-9303https://www.ddsdiscounts.com/88446824-445f-4623-8f4f-b26e83711219dd's DISCOUNTSQ83743863discount_store|shopping|discount_store|discount_storecustomer.service@ros.comhttps://www.facebook.com/1485766645044055open0.947meta1485766645044055meta:1485766645044055|Overture-signals:64e3de96-1d83-4c72-b546-0c1c05b5a8382026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: dd's DISCOUNTS37.982817-122.317818
dd's DISCOUNTS1750 W Lacey BlvdHanfordCA93230(559) 585-1132https://www.ddsdiscounts.com/ac3ae136-41e5-40ef-a905-0c29b9e9ce8edd's DISCOUNTSQ83743863discount_store|shopping|discount_store|discount_storehttps://www.facebook.com/246076639056735open0.955meta246076639056735meta:246076639056735|Overture-signals:2385ca58-060b-4efa-815f-d8d4c96049c02026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: dd's DISCOUNTS36.330067-119.673996
dd's Discounts1800 Prescott Rd Ste KModestoCA95350(209) 571-5487https://www.ddsdiscounts.com/d404aa9c-4022-48cb-bfdc-d0770476658cdd's DISCOUNTSQ83743863discount_store|shopping|discount_store|discount_storehttps://www.facebook.com/100136081565905open1.0meta100136081565905meta:100136081565905|Overture-signals:694601e5-2721-4373-ae7f-db80bc5f15a52026-08-10Overture Maps Foundation, CDLA-Permissive-2.0store0.84category: "store" (store); brand: dd's DISCOUNTS37.673008-121.029694
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?

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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=dds-discounts-locations

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Using LocationLists, how many dd's DISCOUNTS locations are in California? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $2.25. Counts, previews and comparisons with other lists are free.

For developers

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