Ooni Dealer
U.S. · 6,585 locations

Ooni is a leading manufacturer of portable outdoor pizza ovens that has rapidly grown to over 6,585 US dealer locations. The dataset includes Premium Dealer designations where available.

More about this list

This data is essential for outdoor cooking and entertainment industry analysis, competitive studies against Gozney and other pizza oven brands, retail distribution strategy, and market expansion planning. Each record includes dealer name, address, phone, and coordinates from Ooni's official dealer locator. Updated weekly.

6,585Locations
52States
14Data Fields
October 11, 2026File built

The file has all 6,585 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 Ooni Dealer Locations 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

ooni-dealers.csvscroll →UTF-8
nameaddresscitystatezipphonegeo precisioncountycounty fipscounty noteaddress qualitycountrylatitudelongitude
Anchorage Ace Hardware9001 Jewel Lake RdAnchorageAK99502(907) 248-9211sourceAnchorage Municipality02020completeUS61.13891002-149.95042457
Bass Pro Shops152 Northpoint ParkwayAcworthGA30102(470) 315-7500sourceCherokee County13057ZIP 30102 spans 3 counties; assigned to the county holding 50% of its land areacompleteUS34.08161705-84.65067720
Cape Ace Hardware1320 Cape St Claire RdAnnapolisMD21409(410) 757-0797sourceAnne Arundel County24003completeUS39.03863961-76.43912524
Ferguson Brothers Paint & Ace Hardware1593 Springtown RdAlphaNJ08865(908) 859-0500sourceWarren County34041completeUS40.65731815-75.15741915
Summit Ace Hardware of Abbeville809 W Greenwood StAbbevilleSC29620(706) 872-6647sourceAbbeville County45001ZIP 29620 spans 2 counties; assigned to the county holding 96% of its land areacompleteUS34.16287000-82.38095000
Five sample rows; the file you buy has all 14 columns.

{}What's in each row

FieldWhat it isRows filled
nameBusiness or dealer name100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
phonePhone number100%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
countyCounty the location is in100%
county_fipsFive-digit federal code of that county100%
county_noteHow the county was found, where it was not given by the source29%
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

This dataset is compiled from Ooni's own public dealer locator, the system behind the “find a dealer” page on their website.

October 11, 2026

File built · Rebuilt weekly on an automatic schedule.

14 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 Ooni Dealer Locations and give it this page: it can open https://locationlists.com/find?dataset=ooni-dealers 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 Ooni Dealer Locations 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=ooni-dealers 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: "ooni-dealers" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $1.20 per 100 rows from this dataset. Above 3,293 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

What's included in the Ooni dealer data CSV?

Each row includes dealer name, street address, city, state, ZIP code, phone number, GPS coordinates, website URL, and country code. Premium Dealer designations are included where available. Standard CSV format for import into any system.

How often is the Ooni dealer data refreshed?

File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.

We make pizza dough mixes and wood-fired cooking accessories. Can I use this to find Ooni dealers for wholesale outreach?

Ooni's 6,585 dealers are a prime wholesale channel for pizza-related accessories and consumables — their customers are enthusiastic home pizza makers who actively buy complementary products. The dataset gives you every dealer's contact info for outreach. For the best results, start with Premium Dealers (flagged in the data where available) since they likely have the highest oven sales volume and the most motivated customer base for your products.

We're entering the outdoor pizza oven market. How do Ooni and Gozney divide up the US retail landscape?

Ooni has 6,585 dealers versus Gozney's 3,957 — but the overlap is substantial since many outdoor living and specialty cooking retailers carry both brands. Our competitive overlap analysis reveals exactly which dealers stock both, which are exclusive to one brand, and where each brand is underrepresented. For a new entrant, the most interesting finding is usually the white-space markets where neither brand has strong dealer presence — those are your launch opportunities.

We run a chain of outdoor cooking retail stores and want to know if we should add Ooni. Where is demand outpacing their current dealer coverage?

Map Ooni's 6,585 dealers against population data and you'll spot underserved metros. Outdoor pizza oven demand correlates strongly with affluent suburban markets, temperate climates, and strong food culture. Our team can deliver a market-by-market analysis showing Ooni dealer density relative to demand indicators — the result tells you exactly which of your store locations would benefit most from carrying the Ooni line based on local market characteristics.

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