Umberto Giannini Retailers
Worldwide: 9 countries (4 US) · 2,675 locations

2,675 stores that carry Umberto Giannini (4 in the US): every store on Umberto Giannini's own store locator on us.umbertogiannini.com.

More about this list

Name, address, phone, website and the locator's own store details.

2,675Locations
4States
42Data Fields
October 16, 2026File built

The file has all 2,675 locations across 4 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 Umberto Giannini 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

umberto-giannini-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourceemailstatusdirections urlbrand locator store idbrand locator urlbrand locator addresscountry as publishedupdated datesrc priorityplace from map pointis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisioncountycounty fipsaddress qualitycountrylatitudelongitudesource
SainsburysWillowburn AvenueAlnwickPAUmberto Gianniniu12460-46455823Listedhttps://www.google.com/maps/dir/?api=1&destination=40.03494566,-75.3560741246455823https://us.umbertogiannini.com/pages/store-finder2026-10-160YYSainsburys4174sourceDelaware County42045no_house_numberUS40.03494566-75.35607412Umberto Giannini store locator
Sainsburys21 WestgateOxfordMAUmberto Gianniniu12460-46455855Listedhttps://www.google.com/maps/dir/?api=1&destination=42.12365219,-71.8681346346455855https://us.umbertogiannini.com/pages/store-finder2026-10-160YYSainsburys4174sourceWorcester County25027completeUS42.12365219-71.86813463Umberto Giannini store locator
SuperdrugSuperdrug Store Plc, Unit 13, Garryowen Mall, Crescent Shopping Centre, Limerick, V94 A3H6TX020 8684 7000https://www.superdrug.com/search/umberto%20gianniniUmberto Gianniniu12460-67319943Brand store locatorBrand store locatorhelp@superdrug.comListedhttps://www.google.com/maps/dir/?api=1&destination=30.11939493,-95.6336631667319943https://us.umbertogiannini.com/pages/store-finderSuperdrug Store Plc, Unit 13, Garryowen Mall, Crescent Shopping Centre, Limerick, V94 A3H62026-10-160YYSuperdrug609sourceHarris County48201missing_city_or_zipUS30.11939493-95.63366316Umberto Giannini store locator
SuperdrugUnits 2,3 & 5 Woolworth Dev Whitgift Ctr, Croydon, Surrey, Cr0 1UsND020 8684 7000https://www.superdrug.com/search/umberto%20gianniniUmberto Gianniniu12460-67319761Brand store locatorBrand store locatorhelp@superdrug.comListedhttps://www.google.com/maps/dir/?api=1&destination=48.235805,-101.13335867319761https://us.umbertogiannini.com/pages/store-finderUnits 2,3 & 5 Woolworth Dev Whitgift Ctr, Croydon, Surrey, Cr0 1Us2026-10-160YYSuperdrug609sourceWard County38101no_house_numberUS48.235805-101.133358Umberto Giannini store locator
Farmers AlbanyAlbany 1200, Westfield Shopping MallAlbanyAucklandUmberto Gianniniu12460-46455321Listedhttps://www.google.com/maps/dir/?api=1&destination=39.7960652,-75.4531123646455321https://us.umbertogiannini.com/pages/store-finderNew Zealand2026-10-160Nsourceno_house_numberNZ39.7960652-75.45311236Umberto Giannini store locator
Five sample rows; the file you buy has all 42 columns.

{}What's in each row

FieldWhat it isRows filled
brandThe brand whose store locator lists the store100%
storeIdStore id (unique per place in this file)100%
storeNameStore name as the brand's locator lists it100%
addressStreet address100%
cityCity20%
stateState or province code (US always; outside the US where the locator gives one)87%
zipZIP or postal code70%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone79%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place79%
websiteStore website79%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place79%
emailStore email, where the brand's locator publishes one9%
statusListed100%
directionsUrlGoogle Maps directions link100%
brandLocatorStoreIdThe store's id on the brand's locator100%
brandLocatorUrlThe brand's store locator page100%
brandLocatorAddressThe address as the brand's locator writes it in one line9%
countryAsPublishedThe country as the locator wrote it, where it differs from the code72%
sourceSource of the row100%
updatedDateDate the brand's locator was read100%
src_priorityAnother field the brand's locator publishes for the store: priority100%
placeFromMapPointY when the locator gave no country or state and they were set from the store's map point28%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name96%
chainStoreCountStores with that chain name across these brand lists96%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)77%
overtureNameName of the matched Overture place77%
overtureCategoryOverture category of the matched place77%
overtureBrandBrand of the matched Overture place26%
overtureMatchMetersDistance between the store and the matched Overture place, in metres77%
naicsCodeNAICS 2022 code75%
naicsTitleNAICS title75%
sicCodeSIC code75%
sicTitleSIC title75%
industrySourceWhere the industry code came from75%
geo_precisionHow the map point was set100%
address_qualitycomplete, no house number, po box, missing city or zip or missing100%

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 16, 2026

Snapshot built

42 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 Umberto Giannini Retailers and give it this page: it can open https://locationlists.com/find?dataset=umberto-giannini-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 Umberto Giannini Retailers list.

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

For developers

At 2,675 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=umberto-giannini-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 Umberto Giannini's own store locator on us.umbertogiannini.com. We read every store on its map on 2026-10-16. 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?

Yes. 2,671 of the 2,675 stores are outside the US, across 8 countries. Filter on country for one market.

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?

2,119 of the 2,675 stores have a phone, and 2,117 of the 2,675 have a website.

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