Pomélo+Co Retailers
Worldwide: 6 countries (0 US) · 4,422 locations

4,422 stores that carry Pomélo+Co (0 in the US): every store on Pomélo+Co's own store locator on pomelo-co.de.

More about this list

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

4,422Locations
37Data Fields
October 16, 2026File built

The file has all 4,422 locations 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 Pomélo+Co 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

pomelo-plus-co-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcestatusdirections urlbrand locator store idbrand locator urlupdated datesrc priorityplace from map pointis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisionaddress qualitycountrylatitudelongitudesource
ROSSMANN DrogeriemarktFriesenheimer Hau70Friesenheim77948078219097706Pomélo+Cou18691-24989202Brand store locatorListedhttps://www.google.com/maps/dir/?api=1&destination=48.37399779,7.8879891324989202https://www.pomelo-co.de/pages/haendlersuche2026-10-160YYROSSMANN Drogeriemarkt2283sourceno_house_numberDE48.373997797.88798913Pomélo+Co store locator
dm-drogerie marktGlarner Straße 53BerlinBerlin12205030/83202667https://www.dm.de/store/d2bn/berlin/glarner-strasse-53Pomélo+Cou18691-63483628Brand store locatorOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=52.42785898,13.303321863483628https://www.pomelo-co.de/pages/haendlersuche2026-10-160YYdm-drogerie markt21394f7be7d4-6673-4d1d-8ffa-052027cd1fc9dm-drogerie markt Deutschlandpharmacydm-drogerie markt Deutschland33456110Pharmacies and Drug Retailers5912Drug Stores and Proprietary StoresOverture category of the matched placesourceno_house_numberDE52.4278589813.3033218Pomélo+Co store locator
dm-drogerie marktAlte Holstenstraße 23-25HamburgHamburg21031040/72008908https://www.dm.de/store/d312/hamburg/alte-holstenstrasse-23-25Pomélo+Cou18691-63484381Brand store locatorOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=53.49308764,10.2073167263484381https://www.pomelo-co.de/pages/haendlersuche2026-10-160YYdm-drogerie markt21398c0d8014-dbc9-4c45-816c-277d961d0f6cdm-drogerie markt Deutschlandpharmacydm-drogerie markt Deutschland18456110Pharmacies and Drug Retailers5912Drug Stores and Proprietary StoresOverture category of the matched placesourceno_house_numberDE53.4930876410.20731672Pomélo+Co store locator
dm-drogerie marktErkelenzerstraße 3LinnichNordrhein-Westfalen5244102462/2009967https://www.dm.de/store/d495/linnich/erkelenzerstrasse-3Pomélo+Cou18691-63484738Brand store locatorOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=50.9828353,6.2747910363484738https://www.pomelo-co.de/pages/haendlersuche2026-10-160YYdm-drogerie markt2139a51e3a3b-984d-4c80-8ded-449dd7ae49f9dm-drogerie markt Deutschlandpharmacydm-drogerie markt Deutschland39456110Pharmacies and Drug Retailers5912Drug Stores and Proprietary StoresOverture category of the matched placesourceno_house_numberDE50.98283536.27479103Pomélo+Co store locator
dm-drogerie marktPostplatz 1PlauenSachsen0852303741/276900https://www.dm.de/store/d1cl/plauen/postplatz-1Pomélo+Cou18691-63485141Brand store locatorOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=50.49628273,12.1358198863485141https://www.pomelo-co.de/pages/haendlersuche2026-10-160YYdm-drogerie markt21397a345f61-4100-49c3-831c-424d937623f8dm-drogerie marktpharmacydm-drogerie markt Deutschland138456110Pharmacies and Drug Retailers5912Drug Stores and Proprietary StoresOverture category of the matched placesourceno_house_numberDE50.4962827312.13581988Pomélo+Co store locator
Five sample rows; the file you buy has all 37 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%
cityCity100%
stateState or province code (US always; outside the US where the locator gives one)48%
zipZIP or postal code100%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone100%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place100%
websiteStore website87%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place87%
statusListed100%
directionsUrlGoogle Maps directions link100%
brandLocatorStoreIdThe store's id on the brand's locator100%
brandLocatorUrlThe brand's store locator page100%
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 point100%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name100%
chainStoreCountStores with that chain name across these brand lists100%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)87%
overtureNameName of the matched Overture place87%
overtureCategoryOverture category of the matched place87%
overtureBrandBrand of the matched Overture place79%
overtureMatchMetersDistance between the store and the matched Overture place, in metres87%
naicsCodeNAICS 2022 code87%
naicsTitleNAICS title87%
sicCodeSIC code87%
sicTitleSIC title87%
industrySourceWhere the industry code came from87%
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

37 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 Pomélo+Co Retailers and give it this page: it can open https://locationlists.com/find?dataset=pomelo-plus-co-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 Pomélo+Co Retailers list.

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

For developers

At 4,422 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=pomelo-plus-co-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 Pomélo+Co's own store locator on pomelo-co.de. 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. 4,422 of the 4,422 stores are outside the US, across 6 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?

4,399 of the 4,422 stores have a phone, and 3,850 of the 4,422 have a website.

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