This dataset covers 37,201 verified records spread across
56+ states in United States.
37,201 records carry a verified phone number and
13,020 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density states are
California (3,559 listings), Texas (2,928 listings), New York (2,086 listings), Florida (1,932 listings), Ohio (1,273 listings), Illinois (1,257 listings), Pennsylvania (1,206 listings), and Georgia (1,195 listings).
Additional coverage spans
North Carolina (1,116),
Michigan (1,067),
Virginia (980),
Washington (914),
New Jersey (874),
Indiana (807),
Arizona (800),
Tennessee (755),
Massachusetts (738),
Colorado (707),
Wisconsin (682),
Missouri (676)
, plus 36 more states.
Coverage in United States — by state
Total rows:37,201With mobile:37,201With website:13,020
The Sweet Shops database for United States includes 37,200+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
How to use this data
Demand-gen experiments — A/B different positionings against the same sweet shops pool in United States.
Channel design — build a regional rep network that covers every state and major sweet shops city in United States.
Pipeline reporting — surface sweet shops pipeline coverage in United States by city and state in your sales dashboards.
Frequently asked about this dataset
How many businesses are in the Sweet Shops database for United States?
The Sweet Shops database for United States contains 37,200+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
Where can I download a Sweet Shops database for United States?
The complete Sweet Shops database for United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
What fields are included in the Sweet Shops dataset?
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Sweet Shops data for United States?
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live sweet shops footprint in United States.
Is the Sweet Shops dataset updated regularly?
Yes. The Sweet Shops dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Can I use the Sweet Shops data for marketing and outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
What format do I receive the Sweet Shops database in?
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
How quickly can I download the dataset after purchase?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Sweet Shops Database in United States
Data2Sales AI's World Wide Data database for United States consolidates 37,200+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.