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This dataset covers 22,081 verified records spread across 79+ cities in Uttar Pradesh. 22,081 records carry a verified phone number and 5,935 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Meerut (3,150 listings), Ghaziabad (2,956 listings), Agra (2,764 listings), Lucknow (2,658 listings), Prayagraj (2,644 listings), Kanpur (2,303 listings), Varanasi (2,105 listings), and Allahabad (2,026 listings).
Additional coverage spans Pratapgarh (68), Jalaun (62), Basti (44), Saharanpur (40), Kasganj (38), Muzaffarnagar (34), Mathura (33), Gorakhpur (32), Moradabad (31), Bareilly (31), Amroha (30), Sultanpur (30) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 3,150 | 3,150 | 337 |
| Ghaziabad | 2,956 | 2,956 | 911 |
| Agra | 2,764 | 2,764 | 659 |
| Lucknow | 2,658 | 2,658 | 959 |
| Prayagraj | 2,644 | 2,644 | 759 |
| Kanpur | 2,303 | 2,303 | 681 |
| Varanasi | 2,105 | 2,105 | 840 |
| Allahabad | 2,026 | 2,026 | 570 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| All cities (79) | 22,081 | 22,081 | 5,935 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 3,150 | 3,150 | 337 |
| Ghaziabad | 2,956 | 2,956 | 911 |
| Agra | 2,764 | 2,764 | 659 |
| Lucknow | 2,658 | 2,658 | 959 |
| Prayagraj | 2,644 | 2,644 | 759 |
| Kanpur | 2,303 | 2,303 | 681 |
| Varanasi | 2,105 | 2,105 | 840 |
| Allahabad | 2,026 | 2,026 | 570 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| Basti | 44 | 44 | 4 |
| Saharanpur | 40 | 40 | 6 |
| Kasganj | 38 | 38 | 2 |
| Muzaffarnagar | 34 | 34 | 7 |
| Mathura | 33 | 33 | 5 |
| Gorakhpur | 32 | 32 | 16 |
| Moradabad | 31 | 31 | 4 |
| Bareilly | 31 | 31 | 10 |
| Amroha | 30 | 30 | 3 |
| Sultanpur | 30 | 30 | 3 |
| Aligarh | 30 | 30 | 6 |
| Ambedkar Nagar | 28 | 28 | 8 |
| Jhansi | 27 | 27 | 10 |
| Bijnor | 27 | 27 | 6 |
| Pilibhit | 27 | 27 | 6 |
| Jaunpur | 26 | 26 | 2 |
| Kanpur Nagar | 24 | 24 | 6 |
| Lakhimpur Kheri | 23 | 23 | 3 |
| Sambhal | 23 | 23 | 1 |
| Shamli | 23 | 23 | 2 |
| Sitapur | 23 | 23 | 4 |
| Unnao | 23 | 23 | 2 |
| Kanpur Dehat | 22 | 22 | 2 |
| Sonbhadra | 22 | 22 | 5 |
| Barabanki | 22 | 22 | 9 |
| Raebareli | 22 | 22 | 3 |
| Gautam Buddha Nagar | 21 | 21 | 9 |
| Bulandshahr | 21 | 21 | 2 |
| Hardoi | 20 | 20 | 5 |
| Hapur | 20 | 20 | 1 |
| Sant Kabir Nagar | 19 | 19 | 2 |
| Ayodhya | 19 | 19 | 2 |
| Rampur | 19 | 19 | 2 |
| Kheri | 19 | 19 | 3 |
| Etah | 19 | 19 | 2 |
| Maharajganj | 18 | 18 | 3 |
| Hathras | 17 | 17 | 3 |
| Ghazipur | 17 | 17 | 2 |
| Bahraich | 17 | 17 | 3 |
| Etawah | 16 | 16 | 0 |
| Auraiya | 16 | 16 | 2 |
| Budaun | 15 | 15 | 1 |
| Mau | 15 | 15 | 2 |
| Mirzapur | 15 | 15 | 2 |
| Farrukhabad | 15 | 15 | 3 |
| Fatehpur | 15 | 15 | 2 |
| Firozabad | 15 | 15 | 4 |
| Mainpuri | 14 | 14 | 3 |
| Balrampur | 14 | 14 | 2 |
| Baghpat | 14 | 14 | 0 |
| Gonda | 14 | 14 | 2 |
| Chandauli | 13 | 13 | 1 |
| Chitrakoot | 13 | 13 | 1 |
| Shahjahanpur | 13 | 13 | 1 |
| Kannauj | 12 | 12 | 2 |
| Mahoba | 12 | 12 | 0 |
| Amethi | 12 | 12 | 0 |
| Azamgarh | 12 | 12 | 4 |
| Kushinagar | 12 | 12 | 1 |
| Deoria | 12 | 12 | 2 |
| Siddharthnagar | 12 | 12 | 1 |
| Banda | 11 | 11 | 0 |
| Bhadohi | 9 | 9 | 0 |
| Shravasti | 9 | 9 | 1 |
| Shrawasti | 8 | 8 | 0 |
| Kaushambi | 7 | 7 | 0 |
| Ballia | 7 | 7 | 2 |
| Hamirpur | 6 | 6 | 2 |
| Lalitpur | 6 | 6 | 0 |
| All cities (79) | 22,081 | 22,081 | 5,935 |
The Dentist Doctor Database for Uttar Pradesh, India includes 1,715+ 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.
Moti (IN) bought 11 hours ago · Divya (IN) bought 4 days ago · Fakaruddin (IN) bought 4 days ago · Rajendra (IN) bought 1 week ago · Binod (IN) bought 1 week ago
The Dentist Doctor Database for Uttar Pradesh, India contains 1,715+ 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 Dentist Doctor 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 dentist doctor database footprint in Uttar Pradesh, India.
Yes. The Dentist Doctor Database 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 reach dental practitioners across Uttar Pradesh, India? Our comprehensive Dentist Doctor Database provides a detailed listing of 1710 practices, ideal for identifying independent clinics focused on high-value cosmetic procedures. Access essential contact information to refine your outreach and connect with key decision-makers in the region's dental sector.
Last Update:
Jul 21, 2026 03:02 AM
Published:
May 11, 2026 01:40 AM
Rows (Regular):
772
Rows (Extended):
1,715
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
