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This dataset covers 66,744 records spread across 78 cities in Uttar Pradesh, ready for outreach, segmentation and CRM import.
The largest cities by record count are Agra (9,873), Lucknow (8,871), Meerut (8,020), Varanasi (7,981), Prayagraj (7,621), Ghaziabad (7,578), Kanpur (7,130), and Allahabad (5,923).
Additional coverage spans Gonda (146), Moradabad (123), Saharanpur (122), Mathura (115), Aligarh (114), Kanpur Dehat (113), Jhansi (108), Bareilly (104), Kanpur Nagar (104), Azamgarh (92), Gautam Buddha Nagar (91), Pratapgarh (89) , plus 58 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Agra | 9,873 | 9,873 | 3,173 |
| Lucknow | 8,871 | 8,871 | 4,897 |
| Meerut | 8,020 | 8,020 | 2,821 |
| Varanasi | 7,981 | 7,981 | 3,413 |
| Prayagraj | 7,621 | 7,621 | 2,316 |
| Ghaziabad | 7,578 | 7,578 | 3,357 |
| Kanpur | 7,130 | 7,130 | 2,106 |
| Allahabad | 5,923 | 5,923 | 1,783 |
| Gonda | 146 | 146 | 13 |
| Moradabad | 123 | 123 | 26 |
| All cities (78) | 66,744 | 66,744 | 24,920 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Agra | 9,873 | 9,873 | 3,173 |
| Lucknow | 8,871 | 8,871 | 4,897 |
| Meerut | 8,020 | 8,020 | 2,821 |
| Varanasi | 7,981 | 7,981 | 3,413 |
| Prayagraj | 7,621 | 7,621 | 2,316 |
| Ghaziabad | 7,578 | 7,578 | 3,357 |
| Kanpur | 7,130 | 7,130 | 2,106 |
| Allahabad | 5,923 | 5,923 | 1,783 |
| Gonda | 146 | 146 | 13 |
| Moradabad | 123 | 123 | 26 |
| Saharanpur | 122 | 122 | 19 |
| Mathura | 115 | 115 | 19 |
| Aligarh | 114 | 114 | 36 |
| Kanpur Dehat | 113 | 113 | 41 |
| Jhansi | 108 | 108 | 25 |
| Bareilly | 104 | 104 | 52 |
| Kanpur Nagar | 104 | 104 | 40 |
| Azamgarh | 92 | 92 | 28 |
| Gautam Buddha Nagar | 91 | 91 | 50 |
| Pratapgarh | 89 | 89 | 23 |
| Muzaffarnagar | 81 | 81 | 16 |
| Jaunpur | 81 | 81 | 22 |
| Firozabad | 80 | 80 | 9 |
| Mau | 79 | 79 | 10 |
| Lakhimpur Kheri | 73 | 73 | 28 |
| Shahjahanpur | 70 | 70 | 19 |
| Gorakhpur | 69 | 69 | 0 |
| Mainpuri | 68 | 68 | 18 |
| Ghazipur | 68 | 68 | 17 |
| Kheri | 66 | 66 | 17 |
| Shamli | 64 | 64 | 14 |
| Sant Kabir Nagar | 61 | 61 | 17 |
| Deoria | 61 | 61 | 20 |
| Ayodhya | 58 | 58 | 13 |
| Sitapur | 58 | 58 | 20 |
| Bijnor | 57 | 57 | 21 |
| Barabanki | 55 | 55 | 16 |
| Raebareli | 54 | 54 | 19 |
| Sultanpur | 53 | 53 | 16 |
| Siddharthnagar | 52 | 52 | 15 |
| Shrawasti | 50 | 50 | 9 |
| Ambedkar Nagar | 49 | 49 | 14 |
| Bulandshahr | 49 | 49 | 14 |
| Rampur | 48 | 48 | 15 |
| Hapur | 47 | 47 | 14 |
| Sonbhadra | 47 | 47 | 21 |
| Farrukhabad | 47 | 47 | 16 |
| Ballia | 46 | 46 | 13 |
| Kushinagar | 44 | 44 | 9 |
| Pilibhit | 42 | 42 | 15 |
| Basti | 42 | 42 | 15 |
| Unnao | 40 | 40 | 12 |
| Mirzapur | 40 | 40 | 12 |
| Etawah | 40 | 40 | 14 |
| Bahraich | 39 | 39 | 11 |
| Hardoi | 39 | 39 | 16 |
| Amroha | 37 | 37 | 11 |
| Hathras | 34 | 34 | 10 |
| Budaun | 33 | 33 | 14 |
| Kaushambi | 31 | 31 | 17 |
| Bhadohi | 29 | 29 | 6 |
| Maharajganj | 28 | 28 | 4 |
| Etah | 26 | 26 | 9 |
| Sambhal | 26 | 26 | 8 |
| Fatehpur | 23 | 23 | 9 |
| Banda | 19 | 19 | 7 |
| Kasganj | 18 | 18 | 5 |
| Chandauli | 15 | 15 | 7 |
| Kannauj | 13 | 13 | 5 |
| Chitrakoot | 12 | 12 | 3 |
| Auraiya | 11 | 11 | 4 |
| Jalaun | 9 | 9 | 1 |
| Amethi | 9 | 9 | 1 |
| Hamirpur | 9 | 9 | 4 |
| Lalitpur | 8 | 8 | 1 |
| Balrampur | 8 | 8 | 3 |
| Baghpat | 6 | 6 | 4 |
| Mahoba | 5 | 5 | 2 |
| All cities (78) | 66,744 | 66,744 | 24,920 |
The Shoe stores database includes 66,744+ verified Shoe 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.
Our latest 2026 count shows 66,744+ live Shoe stores across Uttar Pradesh, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Shoe stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Shoe 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 Shoe row goes through phone validation, address cross-check against Google Maps and a check against the official Shoe Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Shoe 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 Shoe 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 Shoe 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 shoe stores decision-makers in Uttar Pradesh, India? This database aggregates 66,744+ 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 20, 2026 07:48 AM
Published:
Aug 20, 2026 07:48 AM
Rows (Regular):
33,372
Rows (Extended):
66,744
State:
Uttar Pradesh
Country:
India
Category:
