B2b Oil And Gas Equipment Locations
822 US b2b oil and gas equipment businesses, from national chains to single independent shops, 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MRC Global | 3400 S 7th St | Ponca City | OK | 74601 | (580) 767-4115 | https://www.mrcglobal.com/ | 2bf8202c-395d-4719-a482-9f62df1991d0 | MRC Global | Nmrcglobal | b2b_oil_and_gas_equipment | |services_and_business|b2b_service|b2b_energy_and_utility_service|b2b_oil_and_gas|b2b_oil_and_gas_equipment| | b2b_energy_and_utility_service | open | 0.92 | Microsoft | 1688849866308141 | Microsoft:1688849866308141|Overture-signals:931fae7e-d070-4cd1-a71e-df48114afef1 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: b2b_oil_and_gas_equipment names a business, not premises | 36.67433 | -97.077271 | ||||
| MRC Global | 2911 S Great SW Pkwy Ste 100 | Grand Prairie | TX | 75052 | (972) 602-4070 | https://www.mrcglobal.com/ | dac1ba2c-b2fe-4598-b60f-9c216f2ce1af | MRC Global | Nmrcglobal | b2b_oil_and_gas_equipment | |services_and_business|b2b_service|b2b_energy_and_utility_service|b2b_oil_and_gas|b2b_oil_and_gas_equipment| | b2b_energy_and_utility_service | open | 0.99 | Microsoft | 1688849865895383 | Microsoft:1688849865895383|Overture-signals:47605ac6-b5b2-477d-a890-59962be9b707 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: b2b_oil_and_gas_equipment names a business, not premises | 32.702566 | -97.042847 | ||||
| Matthey Propane Service | 2575 Mount Ephraim Ave | Camden | NJ | 08104 | (856) 962-6000 | https://www.mattheypropaneservice.com/ | 9de70c27-0f5d-45d6-b3e9-748bfc291e7c | b2b_oil_and_gas_equipment | |services_and_business|b2b_service|b2b_energy_and_utility_service|b2b_oil_and_gas|b2b_oil_and_gas_equipment| | b2b_energy_and_utility_service | open | 0.85 | Microsoft | 1125899910621350 | Microsoft:1125899910621350|Overture-signals:8f5d1dda-2f79-4708-9f3f-853d7cac3458 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: b2b_oil_and_gas_equipment names a business, not premises | 39.912397 | -75.099876 |
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=b2b-oil-and-gas-equipment-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 $4.56. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug b2b-oil-and-gas-equipment-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=b2b-oil-and-gas-equipment-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).