This dataset covers 3,631 verified records spread across
32+ states in United States.
3,631 records carry a verified phone number and
1,397 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density states are
California (697 listings), Texas (509 listings), Massachusetts (299 listings), Illinois (274 listings), New York (265 listings), Nevada (181 listings), District of Columbia (157 listings), and Washington (148 listings).
Additional coverage spans
Maryland (146),
Colorado (117),
Tennessee (115),
Florida (110),
Pennsylvania (82),
Arizona (78),
North Carolina (75),
Virginia (75),
Ohio (63),
Kentucky (59),
Wisconsin (52),
Indiana (41)
, plus 12 more states.
Coverage in United States — by state
Total rows:3,631With mobile:3,631With website:1,397
The Hotels database for United States includes 2,235+ 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
Channel partner mapping — find every hotels business in United States that fits your reseller programme.
Brand mapping — track competitive hotels concentration street-by-street in major United States cities.
Customer onboarding — match new sign-ups against the United States hotels master list to enrich profiles.
Frequently asked about this dataset
How many businesses are in the Hotels database for United States?
The Hotels database for United States contains 2,235+ 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 Hotels database for United States?
The complete Hotels 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 Hotels 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 Hotels 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 hotels footprint in United States.
Is the Hotels dataset updated regularly?
Yes. The Hotels 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 Hotels 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 Hotels 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 Hotels Database in Non Contiguous region, United States
This World Wide Data list covers 2,235+ verified records operating in United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
States included in this zone
This zone bundle aggregates every record from the 2 states below. Click a state to buy just that slice.