Hash House A Go Go
U.S. · 7 locations

Hash House A Go Go operates 7 restaurant locations across the United States, with multiple restaurants in Las Vegas and individual locations in San Diego, Orlando, and Atlantic City.

More about this list

Famous for its enormous portion sizes and "twisted farm food" brunch menu, Hash House is a destination-dining concept particularly popular in tourism markets. This dataset provides the complete list of Hash House A Go Go restaurant locations with verified addresses and phone numbers. Updated weekly.

7Locations
4States
15Data Fields
October 11, 2026File built

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

●Where the rows are

Map of where the Hash House A Go Go 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

hash-house-a-go-go-stores.csvscroll →UTF-8
nameaddresscitystatezipphoneurlgeo precisioncountycounty fipscounty noteaddress qualitycountrylatitudelongitude
Hash House A Go Go San Diego3628 Fifth AveSan DiegoCA92103(619) 298-4646https://www.hashhouseagogo.com/location/san-diego-californiaaddressSan Diego County06073completeUS32.744172-117.160464
Hash House A Go Go Orlando5350 International DOrlandoFL32819(407) 370-4646https://www.hashhouseagogo.com/location/hash-house-a-go-go-orlando-florida-2addressOrange County12095completeUS28.462641-81.451257
Hash House A Go Go Atlantic City2831 BoardwalkAtlantic CityNJ08401(609) 340-4000https://www.hashhouseagogo.com/location/tropicana-atlantic-cityaddressAtlantic County34001completeUS39.351993-74.444271
Hash House A Go Go Las Vegas6800 W SaharaLas VegasNV89146https://www.hashhouseagogo.com/location/hash-house-a-go-go-las-vegas-nevada-west-saharaaddressClark County32003completeUS36.144262-115.240264
Hash House A Go Go Winter Garden13272 Hartzog RdWinter GardenFL34787(407) 205-0330https://www.hashhouseagogo.com/location/flamingo-crossingzip_centroidOrange County12095ZIP 34787 spans 2 counties; assigned to the county holding 81% of its land areacompleteUS28.485174-81.619415
Five sample rows; the file you buy has all 15 columns.

{}What's in each row

FieldWhat it isRows filled
nameStore name and number100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
phoneStore phone number86%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
urlUrl100%
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 source14%
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 Hash House A Go Go's own public restaurant locator, the system behind the “find a restaurant” page on their website.

October 11, 2026

File built · Rebuilt weekly on an automatic schedule.

15 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 Hash House A Go Go Locations and give it this page: it can open https://locationlists.com/find?dataset=hash-house-a-go-go-stores 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:

  • The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=hash-house-a-go-go-stores

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 Hash House A Go Go Locations list.

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

For developers

At 7 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=hash-house-a-go-go-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 7 rows and buy the whole file itself. How agent purchasing works

?Frequently Asked Questions

How many Hash House A Go Go locations are in this dataset?

This dataset contains 7 verified Hash House A Go Go restaurant locations across the United States, updated weekly.

What fields are included in the Hash House CSV?

Each row includes the restaurant name, full street address, city, state, ZIP code, phone number, and official location page URL.

Where are Hash House A Go Go locations?

The majority of Hash House locations are on the Las Vegas Strip and surrounding Las Vegas markets, plus individual destination-market locations in San Diego, Orlando (near Disney), and Atlantic City. It is explicitly a tourism-corridor concept.

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