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This dataset covers 654 verified records spread across 38+ cities in Uttar Pradesh. 654 records carry a verified phone number and 208 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Varanasi (85 listings), Prayagraj (31 listings), Kanpur (31 listings), Lucknow (20 listings), Agra (18 listings), Ghaziabad (6 listings), Varanasi, Domari (5 listings), and Meerut (4 listings).
Additional coverage spans Agra, Dhandhupura (3), Ayodhya (2), ananyapur, Lucknow (2), Lakhimpur (2), Agra, Basai (2), Robertsganj (2), Prayagraj, Chak Satai Mishir (1), Nijampur Malhaur, Lucknow (1), Hathras (1), Mirzapur (1), Kanpur, Lucknow (1), Balrampur (0) , plus 18 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 404 | 404 | 86 |
| Varanasi | 85 | 85 | 61 |
| Prayagraj | 31 | 31 | 14 |
| Kanpur | 31 | 31 | 15 |
| Lucknow | 20 | 20 | 6 |
| Agra | 18 | 18 | 0 |
| Ghaziabad | 6 | 6 | 3 |
| Varanasi, Domari | 5 | 5 | 5 |
| Meerut | 4 | 4 | 0 |
| Agra, Dhandhupura | 3 | 3 | 0 |
| All cities (39) | 654 | 654 | 208 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 404 | 404 | 86 |
| Varanasi | 85 | 85 | 61 |
| Prayagraj | 31 | 31 | 14 |
| Kanpur | 31 | 31 | 15 |
| Lucknow | 20 | 20 | 6 |
| Agra | 18 | 18 | 0 |
| Ghaziabad | 6 | 6 | 3 |
| Varanasi, Domari | 5 | 5 | 5 |
| Meerut | 4 | 4 | 0 |
| Agra, Dhandhupura | 3 | 3 | 0 |
| Ayodhya | 2 | 2 | 0 |
| ananyapur, Lucknow | 2 | 2 | 0 |
| Lakhimpur | 2 | 2 | 0 |
| Agra, Basai | 2 | 2 | 1 |
| Robertsganj | 2 | 2 | 0 |
| Prayagraj, Chak Satai Mishir | 1 | 1 | 1 |
| Nijampur Malhaur, Lucknow | 1 | 1 | 0 |
| Hathras | 1 | 1 | 0 |
| Mirzapur | 1 | 1 | 0 |
| Kanpur, Lucknow | 1 | 1 | 0 |
| Balrampur | 0 | 0 | 0 |
| Bulandshahr | 0 | 0 | 0 |
| Muzaffarnagar | 0 | 0 | 0 |
| Sarosa Bharosa | 0 | 0 | 0 |
| Gorakhpur | 0 | 0 | 0 |
| Sitapur | 0 | 0 | 0 |
| Shamli, Mundetkalan | 0 | 0 | 0 |
| Varanasi, Mahamudpur | 0 | 0 | 0 |
| Kushinagar, Sonbarsa | 0 | 0 | 0 |
| Bahraich | 0 | 0 | 0 |
| Salempur, Azamgarh | 0 | 0 | 0 |
| Mainpuri | 0 | 0 | 0 |
| Ayodhya, Faizabad | 0 | 0 | 0 |
| Mirzapur, Robertsganj | 0 | 0 | 0 |
| Pilibhit | 0 | 0 | 0 |
| Kushinagar, Sikaria Urf Ram Nagar | 0 | 0 | 0 |
| Basti | 0 | 0 | 0 |
| Ghaziabad, Basantpur Saitli | 0 | 0 | 0 |
| Amroha, Mohammadpur Bhoorao | 0 | 0 | 0 |
| All cities (39) | 654 | 654 | 208 |
The Hotels database for Uttar Pradesh, India includes 650+ 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.
Mohan (IN) bought 2 days ago · Mayawati (IN) bought 3 days ago · Mustafa (IN) bought 4 days ago · Sheetal (IN) bought 1 week ago · Faraz (IN) bought 1 week ago
The Hotels database for Uttar Pradesh, India contains 650+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Hotels database for Uttar Pradesh, India 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.
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.
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 Uttar Pradesh, India.
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.
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.
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.
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.
Seeking to connect with independent hotels across Uttar Pradesh, India? This curated list of 427 contacts provides direct access to decision-makers at properties focused on attracting significant walk-in business, crucial for optimizing your outreach to this vibrant hospitality sector.
Last Update:
Jul 04, 2026 03:55 AM
Published:
May 01, 2026 03:37 AM
Rows (Extended):
650
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
