Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 6,355 verified records spread across 79+ districts in Uttar Pradesh. 6,355 records carry a verified phone number and 2,224 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Varanasi (1,283 listings), Balrampur (642 listings), Unnao (428 listings), Auraiya (321 listings), Rampur (257 listings), Shravasti (214 listings), Lalitpur (183 listings), and Etah (160 listings).
Additional coverage spans Bijnor (143), Bahraich (128), Banda (117), Sitapur (107), Prayagraj (99), Mau (92), Kanpur (86), Shrawasti (80), Moradabad (75), Raebareli (71), Amroha (68), Gonda (64) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 1,283 | 1,283 | 449 |
| Balrampur | 642 | 642 | 225 |
| Unnao | 428 | 428 | 150 |
| Auraiya | 321 | 321 | 112 |
| Rampur | 257 | 257 | 90 |
| Shravasti | 214 | 214 | 75 |
| Lalitpur | 183 | 183 | 64 |
| Etah | 160 | 160 | 56 |
| Bijnor | 143 | 143 | 50 |
| Bahraich | 128 | 128 | 45 |
| All districts (79) | 6,355 | 6,355 | 2,224 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 1,283 | 1,283 | 449 |
| Balrampur | 642 | 642 | 225 |
| Unnao | 428 | 428 | 150 |
| Auraiya | 321 | 321 | 112 |
| Rampur | 257 | 257 | 90 |
| Shravasti | 214 | 214 | 75 |
| Lalitpur | 183 | 183 | 64 |
| Etah | 160 | 160 | 56 |
| Bijnor | 143 | 143 | 50 |
| Bahraich | 128 | 128 | 45 |
| Banda | 117 | 117 | 41 |
| Sitapur | 107 | 107 | 37 |
| Prayagraj | 99 | 99 | 35 |
| Mau | 92 | 92 | 32 |
| Kanpur | 86 | 86 | 30 |
| Shrawasti | 80 | 80 | 28 |
| Moradabad | 75 | 75 | 26 |
| Raebareli | 71 | 71 | 25 |
| Amroha | 68 | 68 | 24 |
| Gonda | 64 | 64 | 22 |
| Meerut | 61 | 61 | 21 |
| Etawah | 58 | 58 | 20 |
| Bareilly | 56 | 56 | 20 |
| Mahoba | 53 | 53 | 19 |
| Kaushambi | 51 | 51 | 18 |
| Azamgarh | 49 | 49 | 17 |
| Kanpur Dehat | 48 | 48 | 17 |
| Mathura | 46 | 46 | 16 |
| Basti | 44 | 44 | 15 |
| Jalaun | 43 | 43 | 15 |
| Kushinagar | 41 | 41 | 14 |
| Jaunpur | 40 | 40 | 14 |
| Pilibhit | 39 | 39 | 14 |
| Ghaziabad | 38 | 38 | 13 |
| Kanpur Nagar | 37 | 37 | 13 |
| Lakhimpur Kheri | 36 | 36 | 13 |
| Mainpuri | 35 | 35 | 12 |
| Kheri | 34 | 34 | 12 |
| Jhansi | 33 | 33 | 12 |
| Farrukhabad | 32 | 32 | 11 |
| Sambhal | 31 | 31 | 11 |
| Hamirpur | 31 | 31 | 11 |
| Sant Kabir Nagar | 30 | 30 | 11 |
| Chandauli | 29 | 29 | 10 |
| Sultanpur | 29 | 29 | 10 |
| Hathras | 28 | 28 | 10 |
| Baghpat | 27 | 27 | 9 |
| Aligarh | 27 | 27 | 9 |
| Firozabad | 26 | 26 | 9 |
| Hapur | 26 | 26 | 9 |
| Mirzapur | 25 | 25 | 9 |
| Shamli | 25 | 25 | 9 |
| Ambedkar Nagar | 24 | 24 | 8 |
| Hardoi | 24 | 24 | 8 |
| Gorakhpur | 23 | 23 | 8 |
| Agra | 23 | 23 | 8 |
| Sonbhadra | 23 | 23 | 8 |
| Bulandshahr | 22 | 22 | 8 |
| Chitrakoot | 22 | 22 | 8 |
| Gautam Buddha Nagar | 21 | 21 | 7 |
| Allahabad | 21 | 21 | 7 |
| Kasganj | 21 | 21 | 7 |
| Saharanpur | 20 | 20 | 7 |
| Lucknow | 20 | 20 | 7 |
| Fatehpur | 20 | 20 | 7 |
| Muzaffarnagar | 19 | 19 | 7 |
| Maharajganj | 19 | 19 | 7 |
| Shahjahanpur | 19 | 19 | 7 |
| Ayodhya | 19 | 19 | 7 |
| Siddharthnagar | 18 | 18 | 6 |
| Bhadohi | 18 | 18 | 6 |
| Ballia | 18 | 18 | 6 |
| Ghazipur | 18 | 18 | 6 |
| Kannauj | 17 | 17 | 6 |
| Amethi | 17 | 17 | 6 |
| Budaun | 17 | 17 | 6 |
| Pratapgarh | 17 | 17 | 6 |
| Deoria | 16 | 16 | 6 |
| Barabanki | 13 | 13 | 5 |
| All districts (79) | 6,355 | 6,355 | 2,224 |
The Validated Tea restaurants database includes 6,355+ verified Validated Tea restaurants in Uttar Pradesh, India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Counting only operational sites, the Validated Tea footprint in Uttar Pradesh, India sits at about 6,355+ restaurants this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Validated Tea restaurants database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Validated Tea location with address, phone, hours, website and GPS coordinates.
Per-row columns include Validated Tea store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Each Validated Tea row goes through phone validation, address cross-check against Google Maps and a check against the official Validated Tea Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Validated Tea restaurants dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Validated Tea catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Validated Tea restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Uttar Pradesh, India is a 6,355+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
2,860
Rows (Extended):
6,355
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
