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This dataset covers 5,964 verified records spread across 79+ districts in Uttar Pradesh. 5,964 records carry a verified phone number and 2,087 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kaushambi (1,204 listings), Banda (602 listings), Auraiya (401 listings), Unnao (301 listings), Kushinagar (241 listings), Kanpur Nagar (201 listings), Fatehpur (172 listings), and Maharajganj (151 listings).
Additional coverage spans Hardoi (134), Gonda (120), Shamli (109), Agra (100), Ghaziabad (93), Sitapur (86), Mirzapur (80), Kanpur Dehat (75), Budaun (71), Bulandshahr (67), Balrampur (63), Deoria (60) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kaushambi | 1,204 | 1,204 | 421 |
| Banda | 602 | 602 | 211 |
| Auraiya | 401 | 401 | 140 |
| Unnao | 301 | 301 | 105 |
| Kushinagar | 241 | 241 | 84 |
| Kanpur Nagar | 201 | 201 | 70 |
| Fatehpur | 172 | 172 | 60 |
| Maharajganj | 151 | 151 | 53 |
| Hardoi | 134 | 134 | 47 |
| Gonda | 120 | 120 | 42 |
| All districts (79) | 5,964 | 5,964 | 2,087 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kaushambi | 1,204 | 1,204 | 421 |
| Banda | 602 | 602 | 211 |
| Auraiya | 401 | 401 | 140 |
| Unnao | 301 | 301 | 105 |
| Kushinagar | 241 | 241 | 84 |
| Kanpur Nagar | 201 | 201 | 70 |
| Fatehpur | 172 | 172 | 60 |
| Maharajganj | 151 | 151 | 53 |
| Hardoi | 134 | 134 | 47 |
| Gonda | 120 | 120 | 42 |
| Shamli | 109 | 109 | 38 |
| Agra | 100 | 100 | 35 |
| Ghaziabad | 93 | 93 | 33 |
| Sitapur | 86 | 86 | 30 |
| Mirzapur | 80 | 80 | 28 |
| Kanpur Dehat | 75 | 75 | 26 |
| Budaun | 71 | 71 | 25 |
| Bulandshahr | 67 | 67 | 23 |
| Balrampur | 63 | 63 | 22 |
| Deoria | 60 | 60 | 21 |
| Ghazipur | 57 | 57 | 20 |
| Lakhimpur Kheri | 55 | 55 | 19 |
| Jaunpur | 52 | 52 | 18 |
| Basti | 50 | 50 | 18 |
| Amethi | 48 | 48 | 17 |
| Shravasti | 46 | 46 | 16 |
| Mathura | 45 | 45 | 16 |
| Sambhal | 43 | 43 | 15 |
| Prayagraj | 42 | 42 | 15 |
| Shrawasti | 40 | 40 | 14 |
| Kheri | 39 | 39 | 14 |
| Ballia | 38 | 38 | 13 |
| Raebareli | 36 | 36 | 13 |
| Moradabad | 35 | 35 | 12 |
| Mau | 34 | 34 | 12 |
| Baghpat | 33 | 33 | 12 |
| Amroha | 33 | 33 | 12 |
| Aligarh | 32 | 32 | 11 |
| Hapur | 31 | 31 | 11 |
| Etawah | 30 | 30 | 11 |
| Meerut | 29 | 29 | 10 |
| Kanpur | 29 | 29 | 10 |
| Farrukhabad | 28 | 28 | 10 |
| Siddharthnagar | 27 | 27 | 9 |
| Hathras | 27 | 27 | 9 |
| Rampur | 26 | 26 | 9 |
| Etah | 26 | 26 | 9 |
| Varanasi | 25 | 25 | 9 |
| Bijnor | 25 | 25 | 9 |
| Bahraich | 24 | 24 | 8 |
| Shahjahanpur | 24 | 24 | 8 |
| Pratapgarh | 23 | 23 | 8 |
| Lucknow | 23 | 23 | 8 |
| Kasganj | 22 | 22 | 8 |
| Lalitpur | 22 | 22 | 8 |
| Barabanki | 22 | 22 | 8 |
| Jhansi | 21 | 21 | 7 |
| Chandauli | 21 | 21 | 7 |
| Bhadohi | 20 | 20 | 7 |
| Pilibhit | 20 | 20 | 7 |
| Ambedkar Nagar | 20 | 20 | 7 |
| Sultanpur | 19 | 19 | 7 |
| Firozabad | 19 | 19 | 7 |
| Hamirpur | 19 | 19 | 7 |
| Gorakhpur | 19 | 19 | 7 |
| Muzaffarnagar | 18 | 18 | 6 |
| Ayodhya | 18 | 18 | 6 |
| Mainpuri | 18 | 18 | 6 |
| Sonbhadra | 17 | 17 | 6 |
| Azamgarh | 17 | 17 | 6 |
| Chitrakoot | 17 | 17 | 6 |
| Sant Kabir Nagar | 17 | 17 | 6 |
| Jalaun | 17 | 17 | 6 |
| Saharanpur | 16 | 16 | 6 |
| Allahabad | 16 | 16 | 6 |
| Bareilly | 16 | 16 | 6 |
| Kannauj | 16 | 16 | 6 |
| Mahoba | 16 | 16 | 6 |
| Gautam Buddha Nagar | 15 | 15 | 5 |
| All districts (79) | 5,964 | 5,964 | 2,087 |
The Buy Online Retail stores database includes 5,964+ verified Buy Online Retail 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.
There are roughly 5,964+ Buy Online Retail 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 Buy Online Retail stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Buy Online Retail record carries the full operational profile: Buy Online Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Each Buy Online Retail row goes through phone validation, address cross-check against Google Maps and a check against the official Buy Online Retail Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Buy Online Retail 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 Buy Online Retail 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 Buy Online Retail stores — 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 5,964+ 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 02:29 AM
Rows (Regular):
2,684
Rows (Extended):
5,964
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
