Bumper to Bumper Locations
426 US Bumper to Bumper locations, with address, phone, website and map coordinates.
Buy the whole list — 426 rows · $2.52
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tillman Tire Co | 1914 Cypress St | West Monroe | LA | 71291 | (318) 387-3018 | https://locations.bumpertobumper.com/la/west%20monroe/1046987 | b1c4948d-f334-4fc2-8773-e594ef2683bf | Bumper to Bumper | Nbumpertobumper | tire_shop | |travel_and_transportation|vehicle_service|automotive_service|tire_shop| | automotive_service | open | 0.966 | Microsoft | 1407374889647220 | Microsoft:1407374889647220|Overture-signals:6acd5199-47d7-4ea5-afd3-0854ac10c80c | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Bumper to Bumper | 32.515739 | -92.138306 | |||
| Auto Value | 1245 Carpenter Ave | Iron Mountain | MI | 49801 | (906) 774-1811 | https://myautovaluestore.com/locations/1245-s-carpenter-iron-mountain-mi-49801-127 | bd6ce16b-6d7f-4807-b44e-e9d64f49c133 | Bumper to Bumper | Nbumpertobumper | automotive_repair | |travel_and_transportation|vehicle_service|automotive_service|automotive_repair| | automotive_service | av381@autowares.com | https://www.facebook.com/168468726502720 | open | 0.92 | Foursquare | 4fbf8b84e4b083733d17a7c1 | Foursquare:4fbf8b84e4b083733d17a7c1|Overture-signals:723c70e1-31fc-43c6-a85d-f147f7fa745d | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: automotive_repair names a business, not premises | 45.810772 | -88.068321 | ||
| Vernon's Auto Truck Repair | 3230 Bernice Ave | Russellville | AR | 72802 | (479) 967-1515 | http://locations.bumpertobumper.com/ar/russellville/85120-08/ | 15eb2b27-1c28-4e22-8907-d5575fd488be | Bumper to Bumper | Nbumpertobumper | automotive_repair | |travel_and_transportation|vehicle_service|automotive_service|automotive_repair| | automotive_service | vernonsauto@yahoo.com | https://www.facebook.com/162181560467643 | open | 0.92 | meta | 162181560467643 | meta:162181560467643|Overture-signals:f20374ef-2514-400a-8773-cad550147eeb | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: automotive_repair names a business, not premises | 35.249598 | -93.125526 |
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=bumper-to-bumper-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 $2.52. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug bumper-to-bumper-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=bumper-to-bumper-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).