Taco Bell Restaurant
U.S. · 8,253 locations
Taco Bell, a Yum! Brands subsidiary, operates over 8,253 restaurant locations across the United States, making it one of the largest quick-service restaurant chains in the country.
More about this list
This dataset provides the complete list of Taco Bell restaurants including franchise and corporate-owned locations. The data is widely used by commercial real estate analysts evaluating QSR co-tenancy patterns, CPG and food service suppliers prospecting franchise operators, franchise consultants benchmarking territory density, and logistics companies optimizing delivery networks for the food service industry. Each record includes the restaurant name, full address, phone number, and precise GPS coordinates sourced from official Taco Bell systems. Updated weekly to reflect new openings, closures, and relocations across the network.
The file has all 8,253 locations across 50 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | website | store number | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Taco Bell | 1231 Muldoon Road | Anchorage | AK | 99504 | (907) 929-4393 | https://locations.tacobell.com/ak/anchorage/1231-muldoon-road.html | 301820 | source | Anchorage Municipality | 02020 | complete | US | 61.21124181401008 | -149.7325479984283 | |
| Taco Bell | 5080 Cherokee St | Acworth | GA | 30101 | (770) 974-7926 | https://locations.tacobell.com/ga/acworth/5080-cherokee-st.html | 297491 | source | Cobb County | 13067 | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | complete | US | 34.0761456410671 | -84.6762931912813 |
| Taco Bell | 458 Center Street | Auburn | ME | 04210 | (207) 520-5026 | https://locations.tacobell.com/me/auburn/458-center-street.html | 314065 | source | Androscoggin County | 23001 | complete | US | 44.11774810704299 | -70.2255023030758 | |
| Taco Bell | 1073 NJ 34 | Aberdeen Township | NJ | 07747 | (732) 566-7571 | https://locations.tacobell.com/nj/aberdeen-township/1073-nj-34.html | 295202 | source | Monmouth County | 34025 | ZIP 07747 spans 2 counties; assigned to the county holding 45% of its land area | complete | US | 40.39948066192151 | -74.22754398092633 |
| Taco Bell | 615 Centennial St S | Aberdeen | SD | 57401 | (605) 229-0642 | https://locations.tacobell.com/sd/aberdeen/615-centennial-st-s.html | 289792 | source | Brown County | 46013 | complete | US | 45.45867887917884 | -98.43785085732596 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| store | Store number | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Store phone number | 100% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| website | Store page URL | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 29% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Taco Bell's own public restaurant locator, the system behind the “find a restaurant” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
16 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Taco Bell Restaurant Locations and give it this page: it can open https://locationlists.com/find?dataset=taco-bell-stores with the filters you need and show you the count and price.
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.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only California, the state with the most: https://locationlists.com/find?dataset=taco-bell-stores&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=taco-bell-stores&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=taco-bell-stores&near=Los+Angeles+CA&drive=30
- Every Quick Service & Fast Casual list combined, within 25 miles of Huntington Park, CA: https://locationlists.com/find?category=quick-service-restaurant&near=Huntington+Park+CA&radius=25
- Each one's nearest Domino's Pizza Locations, in California, with miles: https://locationlists.com/find?dataset=taco-bell-stores&state=CA&relate=nearest&k=1&b.dataset=dominos-pizza-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=taco-bell-stores - In plain words: "Taco Bell Restaurant Locations in California": https://locationlists.com/find?q=Taco+Bell+Restaurant+Locations+in+California
- In plain words: "Taco Bell Restaurant Locations within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=Taco+Bell+Restaurant+Locations+within+25+miles+of+Los+Angeles%2C+CA
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Taco Bell Restaurant Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=taco-bell-stores with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "taco-bell-stores"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $0.96 per 100 rows from this dataset. Above 4,127 rows, buying the whole file is cheaper.
Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code
?Frequently Asked Questions
What fields are in the Taco Bell restaurant locations CSV?
Each row includes the restaurant name, full street address, city, state, ZIP code, phone number, GPS latitude/longitude, location page URL, and country code. Standard CSV format, ready for import into any CRM, GIS platform, or spreadsheet.
How often is the Taco Bell location data updated?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We're a food packaging supplier trying to identify the largest Taco Bell franchise operators by region. Can this data help?
The 8,253 locations give you the full geographic footprint. While the dataset doesn't include franchisee names directly, clustering nearby restaurants often reveals multi-unit operator territories — groups of 10-30 locations in a metro are typically a single franchisee. For a deeper view, our consulting team can cross-reference this location data with franchise ownership records to build a complete operator-level prospect list segmented by region and unit count.
We're a real estate developer evaluating a QSR pad site. How does Taco Bell's footprint help with site selection?
Taco Bell's 8,253 restaurants serve as a strong indicator of proven QSR traffic corridors. Mapping their locations against your candidate site shows how saturated or underserved a trade area is for quick-service dining. Our next-best-location analysis can overlay Taco Bell, McDonald's, Chick-fil-A, and other QSR networks to score your site against the competitive landscape and identify which franchises are most likely to be interested in your pad.
We sell commercial kitchen equipment to QSR franchises. How do I use this data to build a sales territory plan?
Start by mapping the 8,253 Taco Bell locations and segmenting them by state or metro. High-density clusters in Texas, California, and Florida represent concentrated sales opportunities. For a more structured approach, our territory optimization consulting can balance your rep assignments by location count, drive time, and revenue potential so each territory delivers equitable workload and efficient routing.
How does Taco Bell's restaurant footprint compare to other major QSR chains?
At 8,253 locations, Taco Bell has one of the largest QSR networks in the US, behind McDonald's and Subway but ahead of many other national chains. The distribution pattern is distinctive — Taco Bell indexes heavily in Sun Belt states and suburban corridors. We can build a multi-brand QSR overlap analysis showing exactly where Taco Bell clusters alongside or away from other chains, helping you understand the competitive dynamics in any trade area.