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This dataset covers 2,286 verified records spread across 79+ districts in Uttar Pradesh. 2,286 records carry a verified phone number and 800 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kasganj (462 listings), Bahraich (231 listings), Barabanki (154 listings), Lucknow (115 listings), Mau (92 listings), Lalitpur (77 listings), Etah (66 listings), and Varanasi (58 listings).
Additional coverage spans Gautam Buddha Nagar (51), Kanpur Dehat (46), Hathras (42), Farrukhabad (38), Hardoi (36), Shamli (33), Ambedkar Nagar (31), Baghpat (29), Aligarh (27), Kanpur Nagar (26), Kannauj (24), Amethi (23) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kasganj | 462 | 462 | 162 |
| Bahraich | 231 | 231 | 81 |
| Barabanki | 154 | 154 | 54 |
| Lucknow | 115 | 115 | 40 |
| Mau | 92 | 92 | 32 |
| Lalitpur | 77 | 77 | 27 |
| Etah | 66 | 66 | 23 |
| Varanasi | 58 | 58 | 20 |
| Gautam Buddha Nagar | 51 | 51 | 18 |
| Kanpur Dehat | 46 | 46 | 16 |
| All districts (79) | 2,286 | 2,286 | 800 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kasganj | 462 | 462 | 162 |
| Bahraich | 231 | 231 | 81 |
| Barabanki | 154 | 154 | 54 |
| Lucknow | 115 | 115 | 40 |
| Mau | 92 | 92 | 32 |
| Lalitpur | 77 | 77 | 27 |
| Etah | 66 | 66 | 23 |
| Varanasi | 58 | 58 | 20 |
| Gautam Buddha Nagar | 51 | 51 | 18 |
| Kanpur Dehat | 46 | 46 | 16 |
| Hathras | 42 | 42 | 15 |
| Farrukhabad | 38 | 38 | 13 |
| Hardoi | 36 | 36 | 13 |
| Shamli | 33 | 33 | 12 |
| Ambedkar Nagar | 31 | 31 | 11 |
| Baghpat | 29 | 29 | 10 |
| Aligarh | 27 | 27 | 9 |
| Kanpur Nagar | 26 | 26 | 9 |
| Kannauj | 24 | 24 | 8 |
| Amethi | 23 | 23 | 8 |
| Deoria | 22 | 22 | 8 |
| Azamgarh | 21 | 21 | 7 |
| Allahabad | 20 | 20 | 7 |
| Budaun | 19 | 19 | 7 |
| Bareilly | 18 | 18 | 6 |
| Sonbhadra | 18 | 18 | 6 |
| Ayodhya | 17 | 17 | 6 |
| Gorakhpur | 16 | 16 | 6 |
| Hamirpur | 16 | 16 | 6 |
| Hapur | 15 | 15 | 5 |
| Mainpuri | 15 | 15 | 5 |
| Siddharthnagar | 14 | 14 | 5 |
| Firozabad | 14 | 14 | 5 |
| Kushinagar | 14 | 14 | 5 |
| Sultanpur | 13 | 13 | 5 |
| Ballia | 13 | 13 | 5 |
| Chandauli | 12 | 12 | 4 |
| Pilibhit | 12 | 12 | 4 |
| Bhadohi | 12 | 12 | 4 |
| Kheri | 12 | 12 | 4 |
| Agra | 11 | 11 | 4 |
| Sant Kabir Nagar | 11 | 11 | 4 |
| Mirzapur | 11 | 11 | 4 |
| Sitapur | 10 | 10 | 4 |
| Lakhimpur Kheri | 10 | 10 | 4 |
| Kanpur | 10 | 10 | 4 |
| Chitrakoot | 10 | 10 | 4 |
| Etawah | 10 | 10 | 4 |
| Meerut | 9 | 9 | 3 |
| Ghaziabad | 9 | 9 | 3 |
| Shahjahanpur | 9 | 9 | 3 |
| Maharajganj | 9 | 9 | 3 |
| Saharanpur | 9 | 9 | 3 |
| Amroha | 9 | 9 | 3 |
| Muzaffarnagar | 8 | 8 | 3 |
| Fatehpur | 8 | 8 | 3 |
| Bijnor | 8 | 8 | 3 |
| Auraiya | 8 | 8 | 3 |
| Kaushambi | 8 | 8 | 3 |
| Rampur | 8 | 8 | 3 |
| Basti | 8 | 8 | 3 |
| Pratapgarh | 7 | 7 | 2 |
| Gonda | 7 | 7 | 2 |
| Raebareli | 7 | 7 | 2 |
| Moradabad | 7 | 7 | 2 |
| Shrawasti | 7 | 7 | 2 |
| Jhansi | 7 | 7 | 2 |
| Prayagraj | 7 | 7 | 2 |
| Sambhal | 7 | 7 | 2 |
| Mathura | 7 | 7 | 2 |
| Jalaun | 7 | 7 | 2 |
| Ghazipur | 7 | 7 | 2 |
| Mahoba | 6 | 6 | 2 |
| Shravasti | 6 | 6 | 2 |
| Banda | 6 | 6 | 2 |
| Balrampur | 6 | 6 | 2 |
| Jaunpur | 6 | 6 | 2 |
| Bulandshahr | 6 | 6 | 2 |
| Unnao | 6 | 6 | 2 |
| All districts (79) | 2,286 | 2,286 | 800 |
The Wine And Liquor stores database includes 2,286+ verified Wine And Liquor stores 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.
Yasmin (IN) bought 1 day ago · Charu (IN) bought 2 days ago · Ajinkya (IN) bought 3 days ago · Seema (IN) bought 4 days ago · Himesh (IN) bought 4 days ago
There are roughly 2,286+ Wine And Liquor stores in Uttar Pradesh, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Wine And Liquor stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
The CSV ships with one row per Wine And Liquor location, columns covering Wine And Liquor store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
Each Wine And Liquor row goes through phone validation, address cross-check against Google Maps and a check against the official Wine And Liquor Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Wine And Liquor stores 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 Wine And Liquor 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 Wine And Liquor stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Uttar Pradesh, India? This database aggregates 2,286+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Aug 16, 2026 02:30 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
1,143
Rows (Extended):
2,286
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
