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This dataset covers 66,744 verified records spread across 78+ cities in Uttar Pradesh. 66,744 records carry a verified phone number and 24,920 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Agra (9,873 listings), Lucknow (8,871 listings), Meerut (8,020 listings), Varanasi (7,981 listings), Prayagraj (7,621 listings), Ghaziabad (7,578 listings), Kanpur (7,130 listings), and Allahabad (5,923 listings).
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 Retail Chains database for Uttar Pradesh, India includes 6,700+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Alaknanda (IN) bought 1 day ago · Shashank (IN) bought 1 week ago · Vimala (IN) bought 1 week ago · Ritika (IN) bought 1 week ago · Smriti (IN) bought 1 week ago
The Shoe Retail Chains database for Uttar Pradesh, India contains 6,700+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Shoe Retail Chains database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live shoe retail chains footprint in Uttar Pradesh, India.
Yes. The Shoe Retail Chains dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to expand your footwear distribution network across Uttar Pradesh, India? This list of 66,744 contacts specifically targets shoe retail chains, providing the direct information you need to connect with established businesses focused on volume sales and broad market reach, rather than independent or single-location stores.
Last Update:
Jul 03, 2026 04:00 AM
Published:
May 09, 2026 02:52 AM
Rows (Regular):
3,015
Rows (Extended):
6,700
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
