Woof Gang Bakery & Grooming Locations
260 US Woof Gang Bakery & Grooming locations, with address, phone, website and map coordinates.
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Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Woof Gang Bakery & Grooming Smyrna | 4500 W Village Ave | Smyrna | GA | 30080 | (470) 523-8523 | http://woofgangbakery.com/smyrnaga | 0747faa4-7284-402f-a0fd-c22e85c9a07e | Woof Gang Bakery & Grooming San Antonio | Nwoofgangbakerygroomingsanantonio | pet_groomer | |lifestyle_services|animal_or_pet_service|pet_care_service|pet_groomer| | animal_or_pet_service | smyrnaga@woofgangbakery.com | https://www.facebook.com/178213708706473 | open | 0.978 | meta | 178213708706473 | meta:178213708706473|Overture-signals:33d5e9a1-5aa3-4f50-b415-8a1ff6214821 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: pet_groomer names a business, not premises | 33.841532 | -84.494995 | ||
| Woof Gang Bakery & Grooming El Paso | 7460 Cimarron Market Ave Building 2, Suite 100 | El Paso | TX | 79911 | (915) 261-7756 | https://woofgangbakery.com/elpasotx | d73b04a8-155a-4a39-9a50-c465f4b1b73c | Woof Gang Bakery & Grooming San Antonio | Nwoofgangbakerygroomingsanantonio | pet_groomer | |lifestyle_services|animal_or_pet_service|pet_care_service|pet_groomer| | animal_or_pet_service | elpasotx@woofgangbakery.com | https://www.facebook.com/413148431885901 | open | 0.99 | meta | 413148431885901 | meta:413148431885901|Overture-signals:9605cf69-cff4-4ade-979e-c03c83d0d32e | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: pet_groomer names a business, not premises | 31.886826 | -106.570107 | ||
| Woof Gang Bakery and Grooming | 21351 Nebraska Crossing Dr | Gretna | NE | 68028-7206 | (402) 332-3481 | https://woofgangbakery.com/locations/woof-gang-bakery-grooming-gretna | dccac3d9-2882-48c8-8d06-7cbe708916ab | Woof Gang Bakery & Grooming San Antonio | Nwoofgangbakerygroomingsanantonio | pet_store | |shopping|specialty_store|animal_and_pet_store|pet_store| | animal_and_pet_store | gretna@woofgangbakery.com | https://www.facebook.com/110263394612473 | open | 0.92 | meta | 110263394612473 | meta:110263394612473|Overture-signals:cea6467e-86d9-4917-a19d-7b0d9bcb5d26 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: Woof Gang Bakery & Grooming San Antonio | 41.099213 | -96.25132 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What 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.
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For developers
Dataset slug woof-gang-bakery-and-grooming-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=woof-gang-bakery-and-grooming-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).