Food And Beverage Consultant Locations
141 US food and beverage consultant businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 141 rows · $1.06
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tabletree Montana LLC | 23212 Montana Highway 35 | Bigfork | MT | 59911 | (406) 982-3042 | http://www.tabletreejuice.com/ | 24007adb-9436-4898-af96-aa4c3edb63ca | food_and_beverage_consultant | |services_and_business|professional_service|food_and_beverage_consultant| | professional_service | 0.85 | Microsoft | 1688849863249199 | Microsoft:1688849863249199 | 2018-02-01 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: food_and_beverage_consultant names a business, not premises | 47.88694 | -114.024864 | |||||||
| Auntie Anne's | N University Dr | University Park | PA | 16802 | (814) 954-7404 | https://www.auntieannes.com/pa/university-park/290-1 | ce85bfdb-6ad7-49fc-8258-b56e684eb8b2 | food_and_beverage_consultant | |services_and_business|professional_service|food_and_beverage_consultant| | professional_service | 0.97 | Microsoft | 562949958280113 | Microsoft:562949958280113 | 2021-06-18 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: food_and_beverage_consultant names a business, not premises | 40.808981 | -77.85939 | |||||||
| Crunchy Munchy | 1235 California Ave | Pittsburg | CA | 94565 | (925) 432-2004 | https://www.loopneighborhood.com/ | 85b3f8bd-40bd-445d-a40d-080934249438 | Loop Markets | Nloopmarkets | food_and_beverage_consultant | |services_and_business|professional_service|food_and_beverage_consultant| | professional_service | open | 0.92 | Microsoft | 1407374891860569 | Microsoft:1407374891860569|Overture-signals:c5086bb9-74d5-4e19-8c3f-0262e6e35104 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: food_and_beverage_consultant names a business, not premises | 38.013361 | -121.869095 |
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=food-and-beverage-consultant-locations
Ask in ChatGPT or Claude
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Every answer shows its exact price before you pay, by card, no account; the whole list is $1.06. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug food-and-beverage-consultant-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=food-and-beverage-consultant-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).