Chicken Restaurant Locations
20,674 US chicken restaurant businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
Buy the whole list — 20,674 rows · $190.32
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wingstop | 4040 S Centinela Ave | Los Angeles | CA | 90066 | (310) 391-9464 | https://www.wingstop.com/location/wingstop-1408-los-angeles-ca-90066/menu | 118a31f0-fa58-4f3b-9b84-b1d9e7177b97 | Wingstop | Q8025339 | chicken_restaurant | |food_and_drink|restaurant|meat_restaurant|chicken_restaurant| | restaurant | https://www.facebook.com/469842683470252 | open | 0.99 | meta | 469842683470252 | meta:469842683470252|Overture-signals:f191b782-1a9d-4374-9f85-2c21f4e2e0ec | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: chicken_restaurant names a business, not premises | 33.998606 | -118.428703 | |||
| Raising Cane's | 930 E. County Line Road | Ridgeland | MS | 39157 | (601) 909-3530 | https://locations.raisingcanes.com/ms/ridgeland/930-e.-county-line-road | 2641e10d-391e-4e50-b32b-ddee5af3d007 | Raising Cane's Chicken Fingers | Q7285144 | chicken_restaurant | |food_and_drink|restaurant|meat_restaurant|chicken_restaurant| | restaurant | https://www.facebook.com/1418659141689658 | open | 0.981 | meta | 1418659141689658 | meta:1418659141689658|Overture-signals:784eb910-b039-4619-be35-330e170741f5 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: chicken_restaurant names a business, not premises | 32.39987 | -90.137951 | |||
| Church's Texas Chicken | 105 N Northwest Loop 323 | Tyler | TX | 75702-8725 | (903) 595-5655 | https://churchs.com | 92c23765-1184-4538-88b8-afc13c998787 | chicken_restaurant | |food_and_drink|restaurant|meat_restaurant|chicken_restaurant| | restaurant | open | 0.982 | BrightQuery | 100495595 | BrightQuery:100495595|Overture-signals:216b3849-a72a-4cdf-bab6-9748681f912c | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: chicken_restaurant names a business, not premises | 32.353807 | -95.34272 |
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=chicken-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 $190.32, we email the file when it's built (about 2 minutes). Counts, previews and comparisons with other lists are free.
For developers
Dataset slug chicken-restaurant-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=chicken-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).