Notary Public Locations
5,433 US notary public 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1st Choice Flex Notary | 1501 Adeline St Ste 2 | Hattiesburg | MS | 39401 | (877) 744-6337 | http://www.1stchoiceflexnotary.com/ | 8f42fd48-97a4-4f49-8f38-e6d32777e1c5 | notary_public | |services_and_business|legal_service|notary_public| | legal_service | open | 0.92 | Microsoft | 1407374886924149 | Microsoft:1407374886924149|Overture-signals:d879f930-33a4-4ca8-a90d-a66ea258c168 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: notary_public names a business, not premises | 31.317413 | -89.307255 | ||||||
| TitleMax Title Loans | 501 N Interstate 35 Frontage Rd | Denton | TX | 76205 | (940) 566-4777 | https://www.titlemax.com/store/denton-tx-title-loans/ | 90c1c9fc-5865-4c82-a391-ff9d17c47d41 | notary_public | |services_and_business|legal_service|notary_public| | legal_service | 0.966 | Microsoft | 2251799821362698 | Microsoft:2251799821362698 | 2024-05-16 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.87 | website: "store" (store); category: notary_public names a business, not premises | 33.196321 | -97.140495 | ||||||
| Kim's Notary Service | 12703 Via Plaza Way | New Port Richey | FL | 34654 | (727) 277-5838 | https://kims-notary-service.business.site | b628effe-4732-4f7c-a158-10c751060bef | notary_public | |services_and_business|legal_service|notary_public| | legal_service | kimsparks411@gmail.com | https://www.facebook.com/993069220737165 | open | 0.92 | meta | 993069220737165 | meta:993069220737165|Overture-signals:de8b5a22-7fb3-4df7-94d2-78f84df4291e | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: notary_public names a business, not premises | 28.309652 | -82.604939 |
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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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=notary-public-locations
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For developers
Dataset slug notary-public-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=notary-public-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).