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Wendy's

Wendy's Locations dataset (August 2026)

6,022 locations across 2 countries and 3,160 cities, with 13 fields per row. Available in CSV and ZIP formats.

Rows
6,022
Fields
13
Countries
2
Collected
Aug 2026
Browse Wendy's locations →

License

Licensed under CC BY 4.0. Requires attribution. License & attribution guide →

Fields

# Column Field
1 outlet_id Outlet ID
2 outlet_name Outlet Name
3 country_code Country Code
4 country Country
5 city City
6 region Region
7 zip_code ZIP Code
8 address Premium Address
9 coordinates Coordinates
10 phone_number Premium Phone Number
11 opening_hours Premium Opening Hours
12 website Premium Website
13 google_maps_place_url Premium Google Maps Place URL

Sample rows

The first 5 rows, straight out of the file.

outlet_id outlet_name country_code country city region zip_code address Premium coordinates phone_number Premium opening_hours Premium website Premium google_maps_place_url Premium
15579331 Wendy's 14320 SLOVER AVE US United States Fontana California 92335 14320 Slover Ave [34.06460,-117.49306] +1 909 822 8326 Mo-Su 00:00-24:00 https://locations.wendys.com/united-states/ca/fontana/14320-slover-ave 2325195364097284600
9253130 Wendy's ITHACA US United States Ithaca New York 14850 326 Elmira Rd [42.42618,-76.51243] +1 607 272 3526 Mo-Su 07:00-02:00 https://locations.wendys.com/united-states/ny/ithaca/326-elmira-rd 8573037081405695000
9252989 Wendy's GESSNER US United States Houston Texas 77055 1225 Gessner [29.79057,-95.54503] +1 713 465 4713 Mo-Su 06:00-02:00 https://locations.wendys.com/united-states/tx/houston/1225-gessner 11449921502558464000
1053674038 Wendy's 91-17 JAMAICA US United States New York New York 11421 91-17 Jamaica Ave [40.69346,-73.85323] +1 718 963 0545 Mo-Su 06:30-04:00 https://locations.wendys.com/united-states/ny/woodhaven/91-17-jamaica-ave 17169777340317682000
15595514 Wendy's 13050 MONO WAY US United States Sonora California 95370 13050 Mono Way [37.97615,-120.35990] +1 209 532 0023 Mo-Su 06:30-01:00 https://locations.wendys.com/united-states/ca/sonora/13050-mono-way 4749886289236285000

Get the full dataset (Free)

In the free version, coordinates are rounded to two decimal places (1 km precision) and premium fields are not available.

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Use it directly

Only meant for experimentation. Using it directly in production pipeline is strictly prohibited.

Python
import pandas as pd

df = pd.read_csv("https://bizlocationdb.com/locations/wendys?download=csv")
print(df.head())
DuckDB
SELECT country, count(*) AS n
FROM read_csv('https://bizlocationdb.com/locations/wendys?download=csv')
GROUP BY 1 ORDER BY n DESC;