Golden Chick Locations
258 US Golden Chick locations, with address, phone, website and map coordinates.
Buy the whole list — 258 rows · $1.65
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Golden Chick | 11823 Plano Rd | Dallas | TX | 75243 | (972) 889-9911 | https://locations.goldenchick.com/tx/dallas/1137/ | 0ce60a73-e088-4f25-8249-990fdf7e914e | Golden Chick | Ngoldenchick | fast_food_restaurant | |food_and_drink|casual_eatery|fast_food_restaurant| | fast_food_restaurant | https://www.facebook.com/276930332669836 | open | 0.964 | meta | 276930332669836 | meta:276930332669836|Overture-signals:87525ad9-dd73-4752-91e8-9d7cc0461dac | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: fast_food_restaurant names a business, not premises | 32.910555 | -96.700935 | |||
| Golden Chick | 1500 S 18th St | Waco | TX | 76706 | (254) 301-7102 | https://locations.goldenchick.com/tx/waco/1319/ | b391320b-2f00-4c15-8756-188a81db9574 | Golden Chick | Ngoldenchick | fast_food_restaurant | |food_and_drink|casual_eatery|fast_food_restaurant| | fast_food_restaurant | https://www.facebook.com/103413984711653 | open | 0.99 | meta | 103413984711653 | meta:103413984711653|Overture-signals:264e5b88-bb42-4ce2-93a7-49f5c518f352 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: fast_food_restaurant names a business, not premises | 31.535683 | -97.13063 | |||
| Golden Chick | 1444 W Pleasant Run Rd | Lancaster | TX | 75146 | (972) 227-1851 | https://locations.goldenchick.com/tx/lancaster/1239/ | 9fafe321-893f-49e7-925c-8697fd5c9b05 | Golden Chick | Ngoldenchick | fast_food_restaurant | |food_and_drink|casual_eatery|fast_food_restaurant| | fast_food_restaurant | goldenchicklocations@yahoo.com | https://www.facebook.com/1127574957363892 | open | 0.99 | meta | 1127574957363892 | meta:1127574957363892|Overture-signals:7642cbdc-ecda-407e-a295-4e483948b385 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: fast_food_restaurant names a business, not premises | 32.604136 | -96.785172 |
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=golden-chick-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 $1.65. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug golden-chick-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=golden-chick-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).