Marriott Hotels Locations
1,198 US Marriott Hotels locations, with address, phone, website and map coordinates.
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Residence Inn | 1 Hampton Court | Middlesex Twp | PA | 17013 | (717) 610-9050 | http://www.residenceinn.marriott.com/ | 2dabc43b-a292-44f6-bfdb-fd57dbc2352c | Marriott Hotels | Q3918608 | lodging | |lodging| | lodging | https://www.facebook.com/2072606006314359 | open | 0.999 | meta | 2072606006314359 | meta:2072606006314359|Overture-signals:0f1fc1bc-c642-4512-b7a3-358c745c9546 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: lodging names a business, not premises | 40.231728 | -77.14624 | |||
| Hotel Vance | 1455 SW Broadway | Portland | OR | 97201-3572 | (503) 334-2167 | https://www.marriott.com | 9d0cc332-013d-46ff-9c70-79c4a608f747 | Marriott Hotels | Q3918608 | hotel | |lodging|hotel| | hotel | open | 0.955 | BrightQuery | 82578743 | BrightQuery:82578743|Overture-signals:46198af4-1b12-471f-b24f-26a4b20a1d43 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: hotel names a business, not premises | 45.514538 | -122.682602 | ||||
| Courtyard by Marriott Kansas City South | 500 E 105th St | Kansas City | MO | 64131 | (816) 941-3333 | https://www.marriott.com/hotels/travel/mcihm-courtyard-kansas-city-south | b7b05a6c-042a-44a6-a3ca-2b11e302e20f | Marriott Hotels | Q3918608 | event_venue | |arts_and_entertainment|event_venue| | event_venue | open | 0.99 | Microsoft | 1688849863329220 | Microsoft:1688849863329220|Overture-signals:8bbe2d45-c44b-46e1-89c8-70dabefbc353 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: event_venue names a business, not premises | 38.938261 | -94.586601 |
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/.
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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:
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https://locationlists.com/find?dataset=marriott-hotels-locations
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For developers
Dataset slug marriott-hotels-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=marriott-hotels-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).