Palm Beach Tan Locations
607 US Palm Beach Tan locations, with address, phone, website and map coordinates.
Buy the whole list — 607 rows · $3.46
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Palm Beach Tan | 2900 Peachtree Rd Ste 205 | Atlanta | GA | 30305 | (404) 233-8599 | https://palmbeachtan.com/locations/GA/Atlanta-Peachtree-Road/ | 0116d9fc-44ff-4bd3-aac2-e7630fdae562 | Palm Beach Tan | Npalmbeachtan | tanning_salon | |lifestyle_services|personal_or_beauty_service|tanning_salon| | personal_or_beauty_service | pbtfeedback@tanningmail.com | https://www.facebook.com/132481070889254 | open | 0.99 | meta | 132481070889254 | meta:132481070889254|Overture-signals:e9f68e12-e4c5-4d4a-bc6e-b46403e2fbec | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: tanning_salon names a business, not premises | 33.834944 | -84.383575 | ||
| Palm Beach Tan | 1715 Clarkson Rd | Chesterfield | MO | 63005 | (636) 812-3772 | https://palmbeachtan.com/locations/MO/Chesterfield-Clarkson-Road/ | 955088b5-a8fc-473d-84ad-6c729cc1d134 | Palm Beach Tan | Npalmbeachtan | tanning_salon | |lifestyle_services|personal_or_beauty_service|tanning_salon| | personal_or_beauty_service | pbtfeedback@tanningmail.com | https://www.facebook.com/1159098720851129 | 0.987 | meta | 1159098720851129 | meta:1159098720851129 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: tanning_salon names a business, not premises | 38.66914 | -90.596382 | |||
| Palm Beach Tan | 2910 Gulf Fwy S | League City | TX | 77573 | (281) 534-3322 | https://palmbeachtan.com/locations/TX/League-City-Gulf-Freeway/ | 8de6ee34-2ce7-4b3a-b406-30c5ae80e7b8 | Palm Beach Tan | Npalmbeachtan | tanning_salon | |lifestyle_services|personal_or_beauty_service|tanning_salon| | personal_or_beauty_service | pbtfeedback@tanningmail.com | https://www.facebook.com/103550901117712 | open | 1.0 | meta | 103550901117712 | meta:103550901117712|Overture-signals:d555c133-3609-4910-8477-665c1296736c | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: tanning_salon names a business, not premises | 29.469072 | -95.092201 |
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=palm-beach-tan-locations
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Every answer shows its exact price before you pay, by card, no account; the whole list is $3.46. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug palm-beach-tan-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=palm-beach-tan-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).