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This dataset covers 20,366 verified records spread across 79+ cities in Uttar Pradesh. 20,366 records carry a verified phone number and 5,015 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Meerut (2,962 listings), Ghaziabad (2,674 listings), Agra (2,508 listings), Lucknow (2,461 listings), Prayagraj (2,356 listings), Kanpur (2,165 listings), Varanasi (2,027 listings), and Allahabad (1,800 listings).
Additional coverage spans Pratapgarh (68), Jalaun (62), Basti (43), Kasganj (38), Saharanpur (37), Gorakhpur (32), Mathura (32), Muzaffarnagar (32), Moradabad (31), Amroha (29), Bareilly (28), Ambedkar Nagar (28) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 2,962 | 2,962 | 273 |
| Ghaziabad | 2,674 | 2,674 | 797 |
| Agra | 2,508 | 2,508 | 497 |
| Lucknow | 2,461 | 2,461 | 839 |
| Prayagraj | 2,356 | 2,356 | 545 |
| Kanpur | 2,165 | 2,165 | 651 |
| Varanasi | 2,027 | 2,027 | 804 |
| Allahabad | 1,800 | 1,800 | 408 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| All cities (79) | 20,366 | 20,366 | 5,015 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 2,962 | 2,962 | 273 |
| Ghaziabad | 2,674 | 2,674 | 797 |
| Agra | 2,508 | 2,508 | 497 |
| Lucknow | 2,461 | 2,461 | 839 |
| Prayagraj | 2,356 | 2,356 | 545 |
| Kanpur | 2,165 | 2,165 | 651 |
| Varanasi | 2,027 | 2,027 | 804 |
| Allahabad | 1,800 | 1,800 | 408 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| Basti | 43 | 43 | 4 |
| Kasganj | 38 | 38 | 2 |
| Saharanpur | 37 | 37 | 5 |
| Gorakhpur | 32 | 32 | 16 |
| Mathura | 32 | 32 | 5 |
| Muzaffarnagar | 32 | 32 | 5 |
| Moradabad | 31 | 31 | 4 |
| Amroha | 29 | 29 | 3 |
| Bareilly | 28 | 28 | 9 |
| Ambedkar Nagar | 28 | 28 | 8 |
| Aligarh | 27 | 27 | 5 |
| Sultanpur | 27 | 27 | 3 |
| Jaunpur | 26 | 26 | 2 |
| Kanpur Nagar | 24 | 24 | 6 |
| Bijnor | 24 | 24 | 5 |
| Pilibhit | 23 | 23 | 5 |
| Jhansi | 23 | 23 | 8 |
| Unnao | 23 | 23 | 2 |
| Raebareli | 22 | 22 | 3 |
| Kanpur Dehat | 22 | 22 | 2 |
| Barabanki | 22 | 22 | 9 |
| Sonbhadra | 22 | 22 | 5 |
| Lakhimpur Kheri | 21 | 21 | 2 |
| Bulandshahr | 21 | 21 | 2 |
| Sambhal | 21 | 21 | 1 |
| Hardoi | 20 | 20 | 5 |
| Sitapur | 20 | 20 | 4 |
| Shamli | 19 | 19 | 1 |
| Ayodhya | 19 | 19 | 2 |
| Sant Kabir Nagar | 19 | 19 | 2 |
| Rampur | 18 | 18 | 2 |
| Gautam Buddha Nagar | 18 | 18 | 6 |
| Maharajganj | 18 | 18 | 3 |
| Hapur | 18 | 18 | 1 |
| Etah | 18 | 18 | 2 |
| Kheri | 17 | 17 | 2 |
| Ghazipur | 17 | 17 | 2 |
| Bahraich | 16 | 16 | 3 |
| Budaun | 15 | 15 | 1 |
| Fatehpur | 15 | 15 | 2 |
| Auraiya | 15 | 15 | 2 |
| Hathras | 15 | 15 | 3 |
| Mirzapur | 15 | 15 | 2 |
| Etawah | 14 | 14 | 0 |
| Balrampur | 14 | 14 | 2 |
| Mainpuri | 14 | 14 | 3 |
| Baghpat | 14 | 14 | 0 |
| Gonda | 14 | 14 | 2 |
| Mau | 14 | 14 | 2 |
| Chandauli | 13 | 13 | 1 |
| Farrukhabad | 13 | 13 | 1 |
| Chitrakoot | 13 | 13 | 1 |
| Shahjahanpur | 13 | 13 | 1 |
| Firozabad | 13 | 13 | 3 |
| Amethi | 12 | 12 | 0 |
| Siddharthnagar | 12 | 12 | 1 |
| Kushinagar | 12 | 12 | 1 |
| Deoria | 12 | 12 | 2 |
| Mahoba | 12 | 12 | 0 |
| Azamgarh | 11 | 11 | 4 |
| Banda | 11 | 11 | 0 |
| Kannauj | 11 | 11 | 2 |
| Shravasti | 9 | 9 | 1 |
| Bhadohi | 8 | 8 | 0 |
| Shrawasti | 8 | 8 | 0 |
| Kaushambi | 7 | 7 | 0 |
| Ballia | 7 | 7 | 2 |
| Lalitpur | 6 | 6 | 0 |
| Hamirpur | 6 | 6 | 2 |
| All cities (79) | 20,366 | 20,366 | 5,015 |
The General Physician Doctor Database database for Uttar Pradesh, India includes 20,366+ 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.
Rakhi (IN) bought 1 day ago · Shweta (IN) bought 2 days ago · Taahid (IN) bought 3 days ago · Hemendra (IN) bought 3 days ago · Yadu (IN) bought 3 days ago
The General Physician Doctor Database database for Uttar Pradesh, India contains 20,366+ 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 General Physician Doctor Database 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 general physician doctor database footprint in Uttar Pradesh, India.
Yes. The General Physician 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 connect with General Physicians across Uttar Pradesh? Our meticulously compiled database offers 367 detailed records, ideal for pharmaceutical companies looking to identify high-volume prescribing physicians for new drug launches. This list provides the specific targeting needed to efficiently reach medical professionals in key urban and rural areas.
The Extended tier delivers 22 columns per record: company name, phone, phone secondary, email, email secondary, website, category, street address, city, state, postal code, country, latitude, longitude, Google rating, review count, WhatsApp, Facebook, Instagram, LinkedIn, YouTube, and X (Twitter). The file is UTF-8 encoded and opens cleanly in Excel, Google Sheets, and any standard CRM importer.
Buyers on the Data2Sales AI platform get a tighter loop: the built-in LeadGenius CRM module imports this CSV in one click, auto-maps every column to a lead record, de-duplicates against your existing pipeline, and triggers WhatsApp / voice and email sequences — reply, open, and conversion rates tracked end-to-end inside the Data2Sales AI suite.
Verification is the bottleneck — we don't add a World Wide Data record to the master index until at least two independent sources agree on the name, address, and phone. Sources include municipal business registries in India, the brand's own franchise/store locator, Google Places, OpenStreetMap, licensed B2B directories, and verticals' trade-association feeds. Records that fail re-check during the monthly refresh are removed, not flagged.
Last Update:
May 10, 2026 03:14 AM
Published:
May 04, 2026 05:52 AM
Rows (Regular):
9,165
Rows (Extended):
20,366
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.