This dataset covers 17,000 verified records spread across
56+ states in United States.
17,000 records carry a verified phone number and
5,950 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density states are
California (1,235 listings), Texas (1,032 listings), New York (779 listings), Florida (693 listings), Pennsylvania (545 listings), Alaska (538 listings), Illinois (536 listings), and Ohio (491 listings).
Additional coverage spans
Georgia (465),
Washington (445),
Michigan (426),
Virginia (407),
North Carolina (407),
Minnesota (345),
Indiana (342),
Tennessee (338),
Missouri (336),
New Jersey (334),
Colorado (331),
Wisconsin (329)
, plus 36 more states.
Coverage in United States — by state
Total rows:17,000With mobile:17,000With website:5,950
The Bed and Breakfasts database for United States includes 17,000+ 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 bed and breakfasts pool in United States.
Investor reports — anchor TAM/SAM numbers in United States bed and breakfasts to a verifiable list, not industry estimates.
Cross-sell modelling — surface bed and breakfasts buyers in United States likely to need adjacent products.
Frequently asked about this dataset
How many businesses are in the Bed and Breakfasts database for United States?
The Bed and Breakfasts database for United States contains 17,000+ 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 Bed and Breakfasts database for United States?
The complete Bed and Breakfasts 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 Bed and Breakfasts 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 Bed and Breakfasts 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 bed and breakfasts footprint in United States.
Is the Bed and Breakfasts dataset updated regularly?
Yes. The Bed and Breakfasts 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 Bed and Breakfasts 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 Bed and Breakfasts 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 Bed and Breakfasts Database in United States
Data2Sales AI's World Wide Data database for United States consolidates 17,000+ 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.