Milan Laser Hair Removal Locations
350 US Milan Laser Hair Removal locations, with address, phone, website and map coordinates.
Buy the whole list — 350 rows · $2.13
Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Milan Laser Hair Removal | 3000 W Memorial Rd Ste 115 | Oklahoma City | OK | 73120 | (405) 724-3166 | https://milanlaser.com/locations/ok/oklahoma-city/3000-w-memorial-rd | 9b8c4aae-bfb3-4eb5-b511-cd71c118e737 | Milan Laser Hair Removal | Nmilanlaserhairremoval | laser_hair_removal | |lifestyle_services|personal_or_beauty_service|hair_removal|laser_hair_removal| | personal_or_beauty_service | oklahomacityquailsprings@milanlaser.com | https://www.facebook.com/107380142095155 | open | 0.999 | meta | 107380142095155 | meta:107380142095155|Overture-signals:d50e4521-c1e8-4808-9fa4-303b34681df1 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: laser_hair_removal names a business, not premises | 35.607828 | -97.568451 | ||
| Milan Laser Hair Removal | 190 E Stacy Rd #1608 | Allen | TX | 75002 | (469) 312-2992 | https://milanlaser.com/locations/tx/dallas/190-e-stacy-rd | cbfc9670-9da1-47dc-8a15-f4934d610bad | Milan Laser Hair Removal | Nmilanlaserhairremoval | laser_hair_removal | |lifestyle_services|personal_or_beauty_service|hair_removal|laser_hair_removal| | personal_or_beauty_service | social@milanlaser.com | https://www.facebook.com/105534191392727 | open | 0.92 | meta | 105534191392727 | meta:105534191392727|Overture-signals:c76049b4-0a3a-4788-8578-da3a204dc9b7 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: laser_hair_removal names a business, not premises | 33.127081 | -96.65889 | ||
| Milan Laser Hair Removal | 5708 Sunnybrook Dr | Sioux City | IA | 51106 | (712) 317-3595 | https://milanlasersiouxcity.com | c2781784-4f03-44a3-af3c-5ec12b791110 | Milan Laser Hair Removal | Nmilanlaserhairremoval | laser_hair_removal | |lifestyle_services|personal_or_beauty_service|hair_removal|laser_hair_removal| | personal_or_beauty_service | siouxcity@milanlaser.com | https://www.facebook.com/107205402227379 | open | 0.92 | meta | 107205402227379 | meta:107205402227379|Overture-signals:a23233fb-dbf8-46de-a430-0a77b1efa6c9 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: laser_hair_removal names a business, not premises | 42.452471 | -96.331955 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=milan-laser-hair-removal-locations
Ask in ChatGPT or Claude
Copy this and paste it in:
Every answer shows its exact price before you pay, by card, no account; the whole list is $2.13. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug milan-laser-hair-removal-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=milan-laser-hair-removal-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).