Warehause Retailers
United States · 162 locations
162 stores that carry Warehause (162 in the US): every store on Warehause's own store locator on warehause.com.
More about this list
Name, address, phone, website and the locator's own store details.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| store name | address | city | state | zip | phone | website | brand | store id | phone source | website source | status | directions url | brand locator store id | brand locator url | brand locator address | updated date | is chain | chain name | chain store count | overture place id | overture name | overture category | overture brand | overture match meters | naics code | naics title | sic code | sic title | industry source | geo precision | county | county fips | county note | address quality | country | latitude | longitude | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1136 Yuma Way (Denver) | 1136 Yuma Ct | Denver | CO | 80204 | https://yumaway.com | Warehause | 164f94f127573a-50977041 | Brand store locator | Listed | https://www.google.com/maps/dir/?api=1&destination=39.73431,-105.014442 | 50977041 | https://warehause.com/store-locator/ | 1136 Yuma Ct, Denver, CO 80204 | 2026-10-17 | N | source | Denver County | 08031 | complete | US | 39.73431 | -105.014442 | Warehause store locator | |||||||||||||||
| Dino Dispensary (Dinosaur) | 800 3rd St | Dinosaur | CO | 81610 | https://dinodispensaryllc.net | Warehause | 164f94f127573a-50533826 | Brand store locator | Listed | https://www.google.com/maps/dir/?api=1&destination=40.243653,-109.012273 | 50533826 | https://warehause.com/store-locator/ | 800 3rd St, Dinosaur, CO 81610 | 2026-10-17 | N | source | Moffat County | 08081 | complete | US | 40.243653 | -109.012273 | Warehause store locator | |||||||||||||||
| Herbal Wellness (Lafayette) | 400 W South Boulder Rd #2700 | Lafayette | CO | 80026 | (303) 665-5599 | https://herbalwellnessco.com | Warehause | 164f94f127573a-47670384 | Overture Maps place | Brand store locator | Listed | https://www.google.com/maps/dir/?api=1&destination=39.985633,-105.094978 | 47670384 | https://warehause.com/store-locator/ | 400 W South Boulder Rd #2700, Lafayette, CO 80026 | 2026-10-17 | N | cdf80af6-3a51-4749-84d1-271844e92069 | Herbal Wellness | cannabis_clinic | 29 | source | Boulder County | 08013 | ZIP 80026 spans 2 counties; assigned to the county holding 100% of its land area | complete | US | 39.985633 | -105.094978 | Warehause store locator | ||||||||
| Nature's Herbs & Wellness (Garden City) | 540 27th St | Garden City | CO | 80631 | (970) 573-5087 | https://naturescolorado.com | Warehause | 164f94f127573a-47322303 | Overture Maps place | Brand store locator | Listed | https://www.google.com/maps/dir/?api=1&destination=40.394248,-104.686464 | 47322303 | https://warehause.com/store-locator/ | 540 27th St, Garden City, CO 80631 | 2026-10-17 | N | dfd819ea-9bb2-4525-82e2-1142ce61f75e | Nature's Herbs and Wellness | cannabis_clinic | Nature's Herbs and Wellness | 15 | source | Weld County | 08123 | complete | US | 40.394248 | -104.686464 | Warehause store locator | ||||||||
| Spark Dispensary (Denver) | 4799 Colorado Blvd | Denver | CO | 80216 | https://sparkdispensary.com | Warehause | 164f94f127573a-47342006 | Brand store locator | Listed | https://www.google.com/maps/dir/?api=1&destination=39.78679,-104.940275 | 47342006 | https://warehause.com/store-locator/ | 4799 Colorado Blvd, Denver, CO 80216 | 2026-10-17 | N | source | Denver County | 08031 | ZIP 80216 spans 2 counties; assigned to the county holding 72% of its land area | complete | US | 39.78679 | -104.940275 | Warehause store locator |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The brand whose store locator lists the store | 100% |
| store | Store id (unique per place in this file) | 100% |
| store | Store name as the brand's locator lists it | 100% |
| address | Street address | 100% |
| city | City | 99% |
| state | State or province code (US always; outside the US where the locator gives one) | 100% |
| zip | ZIP or postal code | 100% |
| country | Two-letter country code | 100% |
| latitude | Latitude | 100% |
| longitude | Longitude | 100% |
| phone | Store phone | 41% |
| phone | Where the phone came from: the brand's store locator, or the matched Overture place | 41% |
| website | Store website | 97% |
| website | Where the website came from: the brand's store locator, or the matched Overture place | 97% |
| status | Listed | 100% |
| directions | Google Maps directions link | 100% |
| brand | The store's id on the brand's locator | 100% |
| brand | The brand's store locator page | 100% |
| brand | The address as the brand's locator writes it in one line | 100% |
| source | Source of the row | 100% |
| updated | Date the brand's locator was read | 100% |
| is | Y when 5 or more stores in these brand lists carry the same store name | 100% |
| chain | Chain name | 32% |
| chain | Stores with that chain name across these brand lists | 32% |
| overture | Overture Maps place id of the matched place (join key to Overture data) | 41% |
| overture | Name of the matched Overture place | 41% |
| overture | Overture category of the matched place | 39% |
| overture | Brand of the matched Overture place | 5% |
| overture | Distance between the store and the matched Overture place, in metres | 41% |
| naics | NAICS 2022 code | 14% |
| naics | NAICS title | 14% |
| sic | SIC code | 14% |
| sic | SIC title | 14% |
| industry | Where the industry code came from | 14% |
| geo_ | How the map point was set | 100% |
| county | US county (from the store's coordinates) | 100% |
| county_ | US county FIPS code | 100% |
| county_ | Set when the ZIP spans counties | 34% |
| address_ | complete, no house number, po box, missing city or zip or missing | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
Each row names the public source it came from, so any record can be checked against where it was published.
October 17, 2026
Snapshot built
39 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Warehause Retailers and give it this page: it can open https://locationlists.com/find?dataset=warehause-retailers with the filters you need and show you the count and price.
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.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Within 25 miles of Denver, CO, the busiest area: https://locationlists.com/find?dataset=warehause-retailers&near=Denver+CO&radius=25
- Within a 30-minute drive of Denver, CO: https://locationlists.com/find?dataset=warehause-retailers&near=Denver+CO&drive=30
- Every Nicotine, Vape & Cannabis list combined, within 25 miles of Denver, CO: https://locationlists.com/find?category=nicotine-vape-and-cannabis&near=Denver+CO&radius=25
- Each one's nearest Lavinia Retailers, with miles: https://locationlists.com/find?dataset=warehause-retailers&relate=nearest&k=1&b.dataset=lavinia-retailers
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=warehause-retailers - In plain words: "Warehause Retailers within 25 miles of Denver, CO": https://locationlists.com/find?q=Warehause+Retailers+within+25+miles+of+Denver%2C+CO
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Warehause Retailers list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 162 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=warehause-retailers. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
Where does this data come from?
From Warehause's own store locator on warehause.com. We read every store on its map on 2026-10-17. A store the map shows twice (same name and address) is one row.
What is one row?
One store on the brand's locator, with the brand's own tags for it (storeType) and any custom fields the locator shows.
Does it include stores outside the US?
No. Every store in this list is in the US.
Where do websites and phones come from?
From the brand's locator where it gives them. Otherwise from the Overture Maps place at the same spot with the same name. phoneSource and websiteSource say which.
How complete are phones and websites?
66 of the 162 stores have a phone, and 157 of the 162 have a website.