Hotel Locations
89,617 US hotel businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 89,617 rows · $527.60
Over 10,000 rows, we build the file after you pay and email you the link, about 3 minutes later.
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Liberty Inn | 3147 MS-27 | Monticello | MS | 39654 | (601) 308-4656 | http://www.libertyinn.com | 5475e9de-d0dd-460b-adf3-6d6b6802dad1 | motel | |lodging|hotel|motel| | hotel | libertyinn1@outlook.com | https://www.facebook.com/191062060937819 | open | 0.989 | meta | 191062060937819 | meta:191062060937819|Overture-signals:b3e27105-6ab5-4121-aaa2-06fd29f071f0 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: motel names a business, not premises | 31.558933 | -90.129032 | ||||
| Super 8 | 842 Sword Beach Ln | Bedford | VA | 24523 | (540) 707-2062 | https://www.wyndhamhotels.com/super-8/bedford-virginia/super-8-bedford-va/overview | d48b2fba-4bc0-487b-aeec-bb81b67d8a18 | motel | |lodging|hotel|motel| | hotel | super8bedfordva@gmail.com | https://www.facebook.com/450036238500910 | open | 0.998 | meta | 450036238500910 | meta:450036238500910|Overture-signals:81a7b6e9-7550-4645-9cd4-84a80b3dcc35 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: motel names a business, not premises | 37.33839 | -79.549854 | ||||
| Mill Inn | 2161 Coffeen Ave | Sheridan | WY | 82801 | (307) 672-6401 | http://www.sheridanmillinn.com/ | 04ce3a3e-68ba-44ab-97cd-5724ef1e81d3 | motel | |lodging|hotel|motel| | hotel | sheridanmillinn@bresnan.net | https://www.facebook.com/221601344531354 | open | 0.965 | meta | 221601344531354 | meta:221601344531354|Overture-signals:b56e76a8-820b-4d0c-8599-36726bbb0e96 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | plant | 0.80 | name: "mill" (plant); category: motel names a business, not premises | 44.774174 | -106.94162 |
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=hotel-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 $527.60, we email the file when it's built (about 3 minutes). Counts, previews and comparisons with other lists are free.
For developers
Dataset slug hotel-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=hotel-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).