Brazilian Restaurant Locations
1,133 US brazilian restaurant businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 1,133 rows · $6.16
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tropicalia | 777 Cottage St | Brookings | OR | 97415-2519 | (541) 251-0176 | http://tropicaliabraziliancuisine.com/ | 787171f6-9a5a-4ebb-b58b-67b9c0d355ad | brazilian_restaurant | |food_and_drink|restaurant|latin_american_restaurant|south_american_restaurant|brazilian_restaurant| | restaurant | https://www.facebook.com/664330210673615 | open | 0.92 | meta | 664330210673615 | meta:664330210673615|Overture-signals:07c542d5-b7f0-4ff8-8668-2b03e42a75a3 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: brazilian_restaurant names a business, not premises | 42.052425 | -124.28627 | |||||
| Manga Rosa Brazilian Restaurant | 1212 SE Hawthorne Blvd | Portland | OR | 97214-3614 | (503) 610-6228 | http://mangarosarestaurant.weebly.com/ | 40f4f8a4-cfeb-4a2d-bd19-069bee27169e | brazilian_restaurant | |food_and_drink|restaurant|latin_american_restaurant|south_american_restaurant|brazilian_restaurant| | restaurant | https://www.facebook.com/371287429601864 | open | 0.959 | meta | 371287429601864 | meta:371287429601864|Overture-signals:2228658c-d9a4-4b59-a968-2f27d7dd5b37 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: brazilian_restaurant names a business, not premises | 45.512037 | -122.652908 | |||||
| Rio Grande Churrascaria Pinecrest | 9559 S Dixie Hwy | Pinecrest | FL | 33156 | (786) 391-4398 | http://Www.riograndechurrascaria.com/ | 1e2abaed-97dd-4267-b5e5-742453431ecb | Rio Grande Churrascaria | Nriograndechurrascaria | brazilian_restaurant | |food_and_drink|restaurant|latin_american_restaurant|south_american_restaurant|brazilian_restaurant| | restaurant | riograndepinecrest@gmail.com | https://www.facebook.com/793391250533438 | open | 0.99 | meta | 793391250533438 | meta:793391250533438|Overture-signals:ce11922c-656b-40d1-9c3d-2b2f923c1cfe | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: brazilian_restaurant names a business, not premises | 25.682318 | -80.314308 |
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=brazilian-restaurant-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 $6.16. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug brazilian-restaurant-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=brazilian-restaurant-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).