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This dataset covers 5,248 verified records spread across 79+ districts in Uttar Pradesh. 5,248 records carry a verified phone number and 1,837 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Amroha (1,060 listings), Kanpur Nagar (530 listings), Gautam Buddha Nagar (353 listings), Kushinagar (265 listings), Meerut (212 listings), Etawah (177 listings), Maharajganj (151 listings), and Kanpur (132 listings).
Additional coverage spans Barabanki (118), Kannauj (106), Rampur (96), Kanpur Dehat (88), Etah (82), Bijnor (76), Bhadohi (71), Ghazipur (66), Ayodhya (62), Sonbhadra (59), Jhansi (56), Mirzapur (53) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Amroha | 1,060 | 1,060 | 371 |
| Kanpur Nagar | 530 | 530 | 186 |
| Gautam Buddha Nagar | 353 | 353 | 124 |
| Kushinagar | 265 | 265 | 93 |
| Meerut | 212 | 212 | 74 |
| Etawah | 177 | 177 | 62 |
| Maharajganj | 151 | 151 | 53 |
| Kanpur | 132 | 132 | 46 |
| Barabanki | 118 | 118 | 41 |
| Kannauj | 106 | 106 | 37 |
| All districts (79) | 5,248 | 5,248 | 1,837 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Amroha | 1,060 | 1,060 | 371 |
| Kanpur Nagar | 530 | 530 | 186 |
| Gautam Buddha Nagar | 353 | 353 | 124 |
| Kushinagar | 265 | 265 | 93 |
| Meerut | 212 | 212 | 74 |
| Etawah | 177 | 177 | 62 |
| Maharajganj | 151 | 151 | 53 |
| Kanpur | 132 | 132 | 46 |
| Barabanki | 118 | 118 | 41 |
| Kannauj | 106 | 106 | 37 |
| Rampur | 96 | 96 | 34 |
| Kanpur Dehat | 88 | 88 | 31 |
| Etah | 82 | 82 | 29 |
| Bijnor | 76 | 76 | 27 |
| Bhadohi | 71 | 71 | 25 |
| Ghazipur | 66 | 66 | 23 |
| Ayodhya | 62 | 62 | 22 |
| Sonbhadra | 59 | 59 | 21 |
| Jhansi | 56 | 56 | 20 |
| Mirzapur | 53 | 53 | 19 |
| Allahabad | 50 | 50 | 18 |
| Kasganj | 48 | 48 | 17 |
| Lucknow | 46 | 46 | 16 |
| Sant Kabir Nagar | 44 | 44 | 15 |
| Hapur | 42 | 42 | 15 |
| Fatehpur | 41 | 41 | 14 |
| Chandauli | 39 | 39 | 14 |
| Sultanpur | 38 | 38 | 13 |
| Aligarh | 37 | 37 | 13 |
| Baghpat | 35 | 35 | 12 |
| Bulandshahr | 34 | 34 | 12 |
| Firozabad | 33 | 33 | 12 |
| Hathras | 32 | 32 | 11 |
| Mahoba | 31 | 31 | 11 |
| Jalaun | 30 | 30 | 11 |
| Gorakhpur | 29 | 29 | 10 |
| Basti | 29 | 29 | 10 |
| Mau | 28 | 28 | 10 |
| Ghaziabad | 27 | 27 | 9 |
| Sambhal | 26 | 26 | 9 |
| Muzaffarnagar | 26 | 26 | 9 |
| Bareilly | 25 | 25 | 9 |
| Azamgarh | 25 | 25 | 9 |
| Jaunpur | 24 | 24 | 8 |
| Agra | 24 | 24 | 8 |
| Pratapgarh | 23 | 23 | 8 |
| Mainpuri | 23 | 23 | 8 |
| Kaushambi | 22 | 22 | 8 |
| Shahjahanpur | 22 | 22 | 8 |
| Hamirpur | 21 | 21 | 7 |
| Shamli | 21 | 21 | 7 |
| Hardoi | 20 | 20 | 7 |
| Mathura | 20 | 20 | 7 |
| Pilibhit | 20 | 20 | 7 |
| Siddharthnagar | 19 | 19 | 7 |
| Kheri | 19 | 19 | 7 |
| Farrukhabad | 19 | 19 | 7 |
| Lalitpur | 18 | 18 | 6 |
| Unnao | 18 | 18 | 6 |
| Prayagraj | 18 | 18 | 6 |
| Budaun | 17 | 17 | 6 |
| Bahraich | 17 | 17 | 6 |
| Shrawasti | 17 | 17 | 6 |
| Deoria | 17 | 17 | 6 |
| Moradabad | 16 | 16 | 6 |
| Banda | 16 | 16 | 6 |
| Amethi | 16 | 16 | 6 |
| Raebareli | 16 | 16 | 6 |
| Varanasi | 15 | 15 | 5 |
| Sitapur | 15 | 15 | 5 |
| Ballia | 15 | 15 | 5 |
| Auraiya | 15 | 15 | 5 |
| Ambedkar Nagar | 15 | 15 | 5 |
| Balrampur | 14 | 14 | 5 |
| Shravasti | 14 | 14 | 5 |
| Lakhimpur Kheri | 14 | 14 | 5 |
| Chitrakoot | 14 | 14 | 5 |
| Gonda | 14 | 14 | 5 |
| Saharanpur | 12 | 12 | 4 |
| All districts (79) | 5,248 | 5,248 | 1,837 |
The Computer stores database includes 5,248+ verified Computer 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.
Computer currently operates 5,248+ stores in Uttar Pradesh, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Data2Sales AI hosts the most up-to-date Computer 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 Computer location, columns covering Computer 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 Computer row goes through phone validation, address cross-check against Google Maps and a check against the official Computer Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Computer 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 Computer 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 Computer stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Uttar Pradesh, India consolidates 5,248+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
2,362
Rows (Extended):
5,248
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
