B2b Office And Professional Service Locations
32,122 US b2b office and professional service businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 32,122 rows · $165.92
Over 10,000 rows, we build the file after you pay and email you the link, about 2 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PureSolar | 819 78th Ave SW | Tumwater | WA | 98501 | (360) 352-5593 | d3795b44-0223-47fa-b787-ac67c10250c1 | b2b_domestic_trade_service | |services_and_business|b2b_service|b2b_office_and_professional_service|b2b_domestic_trade_service| | b2b_office_and_professional_service | open | 0.92 | Microsoft | 2251799818734503 | Microsoft:2251799818734503|Overture-signals:57ee99e7-4266-460e-a112-180bd841bebc | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: blank; category: b2b_domestic_trade_service names a business, not premises | 46.975437 | -122.916527 | |||||||
| Mantra Public Relations | 252 7th Ave Ste 7z | New York | NY | 10001 | (212) 645-1600 | http://mantrapublicrelations.com/ | 28b9b676-065b-4924-9cf4-cdc71c5294c7 | b2b_publicity_service | |services_and_business|b2b_service|b2b_office_and_professional_service|b2b_advertising_and_marketing_service|b2b_publicity_service| | b2b_office_and_professional_service | open | 0.92 | Microsoft | 1688849863399203 | Microsoft:1688849863399203|Overture-signals:0ab77326-d4b8-4071-bae8-f252f127e74e | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: b2b_publicity_service names a business, not premises | 40.745308 | -73.995476 | ||||||
| Secure Fingerprinting & Background Checks | 7270 NW 12th St Ste 865 | Miami | FL | 33126 | (954) 805-8298 | http://www.securefp.com/ | 63cb3393-ae2b-49d6-9625-f8d24dd10d78 | b2b_background_check_service | |services_and_business|b2b_service|b2b_office_and_professional_service|b2b_background_check_service| | b2b_office_and_professional_service | open | 0.92 | Microsoft | 844424935262029 | Microsoft:844424935262029|Overture-signals:4d4eeb3b-31dc-4ea5-9fa7-3522ba1f8e4c | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: b2b_background_check_service names a business, not premises | 25.78157 | -80.314247 |
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-office-and-professional-service-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 $165.92, we email the file when it's built (about 2 minutes). Counts, previews and comparisons with other lists are free.
For developers
Dataset slug b2b-office-and-professional-service-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=b2b-office-and-professional-service-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).