Work Boots Brand Retailers
Worldwide: 8 countries (13,457 US) · 13,555 locations

13,555 stores that carry 11 Work Boots brands (13,457 in the US), one row per store, with which brands each carries.

More about this list

Brands: Bates Footwear, Brunt, CAT Footwear, Georgia Boot, HYTEST, Muck Boot, Muck Boots, Red Wing Shoes, Thorogood Workwear, Wolverine, XTRATUF.

13,555Locations
52States
71Data Fields
October 13, 2026File built

The file has all 13,555 locations across 52 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.

Need just some of them? Ask in your own words.

●Where the rows are

Map of where the Work Boots Brand Retailers are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

work-boots-brand-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitestore idcountycounty fipsphone sourcewebsite sourceopen hourstimezonestatusretailer nameretailer account idretailer store countlisted by brand accountis chainchain namechain store countstock tickersends inventory feedinventory refreshed atclaimed listinghold for pickupbuy onlinelocal deliveryships from storechatreview countaverage ratingdealer notelow stock labelaffiliate networksstore typeoverture place idoverture nameoverture categoryoverture match metersdirections urlduplicate store idsbrands carriedbrand countbrands sending stocknaics codenaics titlesic codesic titleindustry sourceupdated datecarries bates footwearcarries bruntcarries cat footwearcarries georgia bootcarries hytestcarries muck bootcarries muck bootscarries red wing shoescarries thorogood workwearcarries wolverinecarries xtratufgeo precisioncounty fipscounty noteaddress qualitycountrylatitudelongitudesource
Boot Barn1068 North Muldoon Road Ste 100AnchorageAK99504(907) 416-9099https://www.bootbarn.com/stores?StoreID=0332S410862Anchorage Municipality02020Brand store locatorOverture (matched place)America/AnchorageListedBoot Barn11199588YBoot Barn588BOOTY2026-10-11 06:05:06Y0aa36c43-6850-4eb1-8027-e8ce7b9b1af3Boot Barnshoe_store28https://www.google.com/maps/dir/?api=1&destination=61.228733,-149.738154Brunt | CAT Footwear | Georgia Boot | Muck Boots | Thorogood Workwear | Wolverine | XTRATUF7Brunt | CAT Footwear | Georgia Boot | Muck Boots | Thorogood Workwear | Wolverine | XTRATUF458210Shoe Retailers5661Shoe StoresOverture category of the matched place2026-10-11YYYYYYYsource02020completeUS61.228733-149.738154Store locators of 11 Work Boots brands
Vulcan's Boot Camp2 Park of Commerce Blvd suite hSavannahGA31405(912) 236-4940http://www.safeshoes.com/contact/S93262Chatham County13051Brand store locatorOverture (matched place)Mon 9:00-18:00 | Tue 9:00-18:00 | Wed 9:00-18:00 | Thu 9:00-18:00 | Fri 9:00-18:00 | Sat 10:00-15:00 | Sun closedAmerica/New_YorkListedSaf-Gard Safety Shoe Co3424159YSaf-Gard Safety Shoe Co59Y2026-10-11 02:24:20YY4d086e31-e6fc-41d1-9901-636734130e85Vulcan's Boot Campshoe_store45https://www.google.com/maps/dir/?api=1&destination=32.06619445,-81.16074795Bates Footwear | Brunt | CAT Footwear | Georgia Boot | HYTEST | Thorogood Workwear | Wolverine | XTRATUF8Bates Footwear | Brunt | Georgia Boot | HYTEST | Thorogood Workwear | Wolverine | XTRATUF458210Shoe Retailers5661Shoe StoresOverture category of the matched place2026-10-11YYYYYYYYsource13051completeUS32.066194-81.160748Store locators of 11 Work Boots brands
Boot Barn301 Maine Mall RoadSouth PortlandME04106(207) 209-7999https://www.bootbarn.com/stores?StoreID=0492S376189Cumberland County23005Brand store locatorOverture (matched place)America/New_YorkListedBoot Barn11199588YBoot Barn588BOOTY2026-10-11 06:04:54Y83a8394d-f839-46f3-bffd-812146352ffdBoot Barnshoe_store2https://www.google.com/maps/dir/?api=1&destination=43.6370987,-70.3374756Brunt | CAT Footwear | Georgia Boot | Thorogood Workwear | Wolverine | XTRATUF6Brunt | CAT Footwear | Georgia Boot | Thorogood Workwear | Wolverine | XTRATUF458210Shoe Retailers5661Shoe StoresOverture category of the matched place2026-10-11YYYYYYsource23005completeUS43.637099-70.337476Store locators of 11 Work Boots brands
Saf-Gard Safety Shoe Co2056c NJ-27EdisonNJ08817(732) 287-2010S52927Middlesex County34023Brand store locatorMon 10:00-18:00 | Tue 10:00-18:00 | Wed 10:00-18:00 | Thu 10:00-18:00 | Fri 10:00-18:00 | Sat closed | Sun closedAmerica/New_YorkListedSaf-Gard Safety Shoe Co3424159YSaf-Gard Safety Shoe Co59Y2026-10-11 02:21:56YY15https://www.google.com/maps/dir/?api=1&destination=40.52445664,-74.38963122Bates Footwear | Brunt | CAT Footwear | Georgia Boot | HYTEST | Thorogood Workwear | Wolverine7Bates Footwear | Brunt | CAT Footwear | Georgia Boot | HYTEST | Thorogood Workwear | Wolverine458210Shoe Retailers5661Shoe Storeslist category (no matched place)2026-10-11YYYYYYYsource34023completeUS40.524457-74.389631Store locators of 11 Work Boots brands
Fleet Farm1001 E Mall DrRapid CitySD57701(605) 791-8200https://www.fleetfarm.com/visit-stores/rapid-city-sdS189728Pennington County46103Brand store locatorOverture (matched place)America/ChicagoListedMills Fleet Farm1517652YMills Fleet Farm52Y2026-10-11 13:11:23Y0561b5cf-bac5-433e-98c3-68b3081ebf81Fleet Farmsporting_goods_store66https://www.google.com/maps/dir/?api=1&destination=44.10527226,-103.19371691Brunt | CAT Footwear | Muck Boots | Thorogood Workwear | Wolverine | XTRATUF6Brunt | CAT Footwear | Muck Boots | Thorogood Workwear | Wolverine | XTRATUF459110Sporting Goods Retailers5941Sporting Goods Stores and Bicycle ShopsOverture category of the matched place2026-10-11YYYYYYsource46103ZIP 57701 spans 2 counties; assigned to the county holding 64% of its land areacompleteUS44.105272-103.193717Store locators of 11 Work Boots brands
Five sample rows; the file you buy has all 71 columns.

{}What's in each row

FieldWhat it isRows filled
storeIdStore id (unique per place in this file)100%
storeNameStore name as the store or brand lists it100%
addressStreet address100%
cityCity100%
stateState or province code (US always; outside the US where the source gives one)100%
zipZIP or postal code100%
countyUS county (from the store's coordinates)99%
countyFipsUS county FIPS code99%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone99%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place99%
websiteStore website73%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place73%
openHoursWeekly opening hours, where published14%
timezoneStore time zone99%
statusListed, or Temporarily closed100%
retailerNameThe retailer account that owns the store (blank for a dealer the brand listed itself)98%
retailerAccountIdAccount id of the retailer that owns the store99%
retailerStoreCountStores that retailer has across all brand locators in this build99%
listedByBrandAccountSet when the brand uploaded this dealer itself rather than the retailer listing its own store1%
isChainY when the store belongs to a chain of 5 or more locations68%
chainNameChain name68%
chainStoreCountLocations of that chain across all brand locators in this build69%
stockTickerStock ticker of the retailer's listed parent (US-listed chains)32%
sendsInventoryFeedY when the store publishes live inventory to brand locators57%
inventoryRefreshedAtWhen the store's inventory feed last refreshed (UTC)99%
claimedListingY when the store manages its own locator listing65%
holdForPickupY when shoppers can reserve an item for in-store pickup3%
buyOnlineY when shoppers can buy online for pickup35%
localDeliveryY when the store offers local delivery27%
reviewCountNumber of shopper reviews7%
averageRatingAverage shopper rating (1-5)7%
dealerNoteThe store's own note, e.g. 'Authorized Dealer - Call for Availability'1%
lowStockLabelLabel the store shows when stock is low7%
affiliateNetworksAffiliate programs the store sells through (names only)3%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)75%
overtureNameName of the matched Overture place75%
overtureCategoryOverture category of the matched place75%
overtureMatchMetersDistance between the store and the matched Overture place, in metres75%
directionsUrlGoogle Maps directions link100%
brandsCarriedBrands in this group that list the store100%
brandCountHow many brands in this group list the store100%
brandsSendingStockBrands in this group the store's inventory feed carries47%
naicsCodeNAICS 2022 code100%
naicsTitleNAICS title100%
sicCodeSIC code100%
sicTitleSIC title100%
industrySourceWhere the industry code came from: the matched Overture category, or the list's product category100%
sourceSource of the row100%
updatedDateDate the store maps were read100%
carries_bruntCarries brunt7%
carries_cat_footwearCarries cat footwear41%
carries_georgia_bootCarries georgia boot25%
carries_muck_bootsCarries muck boots19%
carries_thorogood_workwearCarries thorogood workwear8%
carries_wolverineCarries wolverine86%
carries_xtratufCarries xtratuf40%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
county_fipsFive-digit federal code of that county99%
county_noteHow the county was found, where it was not given by the source32%
address_qualityWhether the street address is complete, missing a house number, or a PO box100%

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 13, 2026

Snapshot built

71 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 Work Boots Brand Retailers and give it this page: it can open https://locationlists.com/find?dataset=work-boots-brand-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:

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 Work Boots Brand Retailers list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=work-boots-brand-retailers with the same filters as query parameters.

  1. Connect your agent to https://locationlists.com/mcp (no key, no signup).
  2. Call count_locations with dataset: "work-boots-brand-retailers" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $3.39 per 100 rows from this dataset. Above 6,778 rows, buying the whole file is cheaper.

Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code

?Frequently Asked Questions

Where does this data come from?

From the store locators the 11 Work Boots brands publish to show shoppers which stores carry them and what is in stock. Every row is a store on a brand's locator on 2026-10-13.

What is one row?

One store. A place listed twice (by its own account and by a brand upload) is merged into one row, and the other ids are kept in duplicateStoreIds. brandsCarried and the carries_ columns say which brands in the group list it.

Does it include stores outside the US?

Yes. 98 of the 13,555 stores are outside the US, across 8 countries. Filter on country for one market.

Where do websites and phones come from?

The brand locators give a phone for nearly every store. Websites come from matching each store to the Overture Maps place at the same spot with the same name; websiteSource and phoneSource say which source each value came from.

What does 'sends inventory feed' mean?

The store publishes its live stock to brand locators. brandsSendingStock lists the group's brands that feed carries this week.

↔Other work boots lists