Diamant Retailers
Worldwide: 18 countries (0 US) · 1,980 locations
1,980 stores that carry Diamant (0 in the US), from Diamant's store locator: retailer, chain, phone, website, hours and stock-feed flags.
The file has all 1,980 locations across 3 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
≡Sample Data Preview
There is no preview for this file yet. The free sample file has up to 10 rows.
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The brand whose store map this row is on | 100% |
| store | Store id (unique per place in this file) | 100% |
| store | Store name as the store or brand lists it | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | State or province code (US always; outside the US where the source gives one) | 39% |
| zip | ZIP or postal code | 100% |
| country | Two-letter country code | 100% |
| latitude | Latitude | 100% |
| longitude | Longitude | 100% |
| phone | Store phone | 98% |
| phone | Where the phone came from: the brand's store locator, or the matched Overture place | 98% |
| website | Store website | 64% |
| website | Where the website came from: the brand's store locator, or the matched Overture place | 64% |
| open | Weekly opening hours, where published | 62% |
| timezone | Store time zone | 100% |
| status | Listed, or Temporarily closed | 100% |
| retailer | The retailer account that owns the store (blank for a dealer the brand listed itself) | 98% |
| retailer | Account id of the retailer that owns the store | 100% |
| retailer | Stores that retailer has across all brand locators in this build | 100% |
| is | Y when the store belongs to a chain of 5 or more locations | 20% |
| chain | Chain name | 20% |
| chain | Locations of that chain across all brand locators in this build | 20% |
| sends | Y when the store publishes live inventory to brand locators | 65% |
| inventory | When the store's inventory feed last refreshed (UTC) | 100% |
| claimed | Y when the store manages its own locator listing | 85% |
| hold | Y when shoppers can reserve an item for in-store pickup | 19% |
| buy | Y when shoppers can buy online for pickup | 15% |
| ships | Y when the store ships orders | 4% |
| review | Number of shopper reviews | 1% |
| average | Average shopper rating (1-5) | 1% |
| overture | Overture Maps place id of the matched place (join key to Overture data) | 66% |
| overture | Name of the matched Overture place | 66% |
| overture | Overture category of the matched place | 66% |
| overture | Distance between the store and the matched Overture place, in metres | 66% |
| directions | Google Maps directions link | 100% |
| duplicate | Other store ids for this same place, merged into this row | 2% |
| sends | Y when this store's inventory feed carries this brand's products | 38% |
| other | How many other brands list this store on their locators | 100% |
| other | The other brands that list this store | 100% |
| naics | NAICS 2022 code | 100% |
| naics | NAICS title | 100% |
| sic | SIC code | 100% |
| sic | SIC title | 100% |
| industry | Where the industry code came from: the matched Overture category, or the list's product category | 100% |
| source | Source of the row | 100% |
| updated | Date the store maps were read | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
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
54 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 Diamant Retailers and give it this page: it can open https://locationlists.com/find?dataset=diamant-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:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=diamant-retailers
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 Diamant Retailers list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,980 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=diamant-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 the store locators Diamant 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.
Does it include stores outside the US?
Yes. 1,980 of the 1,980 stores are outside the US, across 18 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. sendsStockForBrand says whether that feed carries this brand's products this week.