24 Hour Fitness Locations
443 US 24 Hour Fitness locations, with address, phone, website and map coordinates.
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 24 Hour Fitness | 3741 Buchanan St | San Francisco | CA | 94123 | (415) 563-3535 | http://#N/A | 97b74c3f-b7fb-4b41-ad0b-8a0eb0ed6523 | 24 Hour Fitness | Q4631849 | gym | |sports_and_recreation|sport_or_fitness_facility|gym| | gym | https://www.twitter.com/24hourfitness | open | 0.92 | Foursquare | 4a54055bf964a520f8b21fe3 | Foursquare:4a54055bf964a520f8b21fe3|Overture-signals:e29dd962-ed6c-461c-a948-2d54dec55247 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: gym names a business, not premises | 37.804449 | -122.433586 | |||
| 24 Hour Fitness | 12922 SE Kent Kangley Rd | Kent | WA | 98030 | (253) 631-1010 | http://www.24hourfitness.com/FindClubDetail.do?clubid=961&cm_mmc=Bing-_-Local-_-clubpage-_-961 | 26dc191d-0afe-4345-8bbd-ae27894207c3 | 24 Hour Fitness | Q4631849 | gym | |sports_and_recreation|sport_or_fitness_facility|gym| | gym | open | 0.92 | Microsoft | 1970324837233061 | Microsoft:1970324837233061|Overture-signals:a5c5f403-0093-4283-963f-b9c0bfdb0cf4 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: gym names a business, not premises | 47.358389 | -122.167641 | ||||
| 24 Hour Fitness | 150 Hana Hwy | Kahului | HI | 96732 | (808) 877-7474 | https://www.24hourfitness.com/ | 5ee6af7c-7704-441c-a5ab-bf3c0ab72f95 | 24 Hour Fitness | Q4631849 | gym | |sports_and_recreation|sport_or_fitness_facility|gym| | gym | https://www.facebook.com/1706413572723017 | open | 0.92 | meta | 1706413572723017 | meta:1706413572723017|Overture-signals:954e35d6-c038-4b79-90c0-1c7df97b3f20 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: gym names a business, not premises | 20.889931 | -156.460213 |
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=24-hour-fitness-locations
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For developers
Dataset slug 24-hour-fitness-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=24-hour-fitness-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).