Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 7,995 verified records spread across 79+ cities in Uttar Pradesh. 7,995 records carry a verified phone number and 3,798 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Lucknow (1,057 listings), Ghaziabad (1,008 listings), Meerut (948 listings), Agra (926 listings), Varanasi (869 listings), Prayagraj (856 listings), Kanpur (766 listings), and Allahabad (610 listings).
Additional coverage spans Kanpur Nagar (14), Gautam Buddha Nagar (13), Kanpur Dehat (13), Saharanpur (12), Gorakhpur (12), Moradabad (12), Mathura (11), Ballia (11), Muzaffarnagar (9), Aligarh (9), Jhansi (9), Shahjahanpur (9) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Lucknow | 1,057 | 1,057 | 614 |
| Ghaziabad | 1,008 | 1,008 | 609 |
| Meerut | 948 | 948 | 354 |
| Agra | 926 | 926 | 416 |
| Varanasi | 869 | 869 | 457 |
| Prayagraj | 856 | 856 | 310 |
| Kanpur | 766 | 766 | 339 |
| Allahabad | 610 | 610 | 227 |
| Kanpur Nagar | 14 | 14 | 6 |
| Gautam Buddha Nagar | 13 | 13 | 9 |
| All cities (80) | 7,995 | 7,995 | 3,798 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Lucknow | 1,057 | 1,057 | 614 |
| Ghaziabad | 1,008 | 1,008 | 609 |
| Meerut | 948 | 948 | 354 |
| Agra | 926 | 926 | 416 |
| Varanasi | 869 | 869 | 457 |
| Prayagraj | 856 | 856 | 310 |
| Kanpur | 766 | 766 | 339 |
| Allahabad | 610 | 610 | 227 |
| Kanpur Nagar | 14 | 14 | 6 |
| Gautam Buddha Nagar | 13 | 13 | 9 |
| Kanpur Dehat | 13 | 13 | 5 |
| Saharanpur | 12 | 12 | 4 |
| Gorakhpur | 12 | 12 | 5 |
| Moradabad | 12 | 12 | 4 |
| Mathura | 11 | 11 | 4 |
| Ballia | 11 | 11 | 3 |
| Muzaffarnagar | 9 | 9 | 2 |
| Aligarh | 9 | 9 | 4 |
| Jhansi | 9 | 9 | 2 |
| Shahjahanpur | 9 | 9 | 2 |
| Unnao | 8 | 8 | 3 |
| Sant Kabir Nagar | 8 | 8 | 3 |
| Bijnor | 8 | 8 | 2 |
| Kheri | 8 | 8 | 2 |
| Bareilly | 7 | 7 | 2 |
| Ambedkar Nagar | 6 | 6 | 2 |
| Amroha | 6 | 6 | 2 |
| Baghpat | 6 | 6 | 2 |
| Siddharthnagar | 5 | 5 | 1 |
| Hapur | 5 | 5 | 2 |
| Azamgarh | 5 | 5 | 1 |
| Firozabad | 5 | 5 | 2 |
| Etawah | 4 | 4 | 1 |
| Ayodhya | 4 | 4 | 1 |
| Shrawasti | 4 | 4 | 1 |
| Deoria | 4 | 4 | 1 |
| Raebareli | 4 | 4 | 0 |
| Sitapur | 4 | 4 | 1 |
| Rampur | 4 | 4 | 1 |
| Bulandshahr | 3 | 3 | 1 |
| Mirzapur | 3 | 3 | 1 |
| Bahraich | 3 | 3 | 1 |
| Ghazipur | 3 | 3 | 0 |
| Sultanpur | 3 | 3 | 0 |
| Barabanki | 3 | 3 | 1 |
| Jaunpur | 2 | 2 | 0 |
| Mau | 2 | 2 | 0 |
| Lakhimpur Kheri | 2 | 2 | 0 |
| Kaushambi | 2 | 2 | 1 |
| Gonda | 2 | 2 | 0 |
| Hathras | 2 | 2 | 0 |
| Mainpuri | 2 | 2 | 0 |
| Budaun | 2 | 2 | 0 |
| Sonbhadra | 2 | 2 | 0 |
| Shravasti | 2 | 2 | 0 |
| Kushinagar | 2 | 2 | 1 |
| Pilibhit | 2 | 2 | 0 |
| Farrukhabad | 2 | 2 | 0 |
| Hardoi | 2 | 2 | 0 |
| Basti | 1 | 1 | 0 |
| Pratapgarh | 1 | 1 | 0 |
| Etah | 1 | 1 | 0 |
| Jalaun | 1 | 1 | 0 |
| Mahoba | 1 | 1 | 0 |
| Maharajganj | 1 | 1 | 0 |
| Fatehpur | 1 | 1 | 0 |
| Bhadohi | 1 | 1 | 0 |
| Chandauli | 1 | 1 | 0 |
| Amethi | 1 | 1 | 0 |
| Banda | 1 | 1 | 0 |
| Shamli | 0 | 0 | 0 |
| Hamirpur | 0 | 0 | 0 |
| Lalitpur | 0 | 0 | 0 |
| Sambhal | 0 | 0 | 0 |
| Kannauj | 0 | 0 | 0 |
| Auraiya | 0 | 0 | 0 |
| Balrampur | 0 | 0 | 0 |
| Chitrakoot | 0 | 0 | 0 |
| Kasganj | 0 | 0 | 0 |
| Smaller regions (combined) | 624 | 624 | 352 |
| All cities (80) | 7,995 | 7,995 | 3,798 |
The Interior Design Services database for Uttar Pradesh, India includes 67,353+ 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.
Himanshu (IN) bought 2 days ago · Divya (IN) bought 4 days ago · Julie (IN) bought 1 week ago · Jayshree (IN) bought 1 week ago · Suresh (IN) bought 1 week ago
The Interior Design Services database for Uttar Pradesh, India contains 67,353+ 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 Interior Design Services 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 interior design services footprint in Uttar Pradesh, India.
Yes. The Interior Design Services 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.
Seeking to connect with Interior Design Services in Uttar Pradesh, India? Our curated list offers precisely the high-ticket design studios and bespoke furniture makers you need to find your next key client. Streamline your outreach to businesses focused on premium residential and commercial projects across the region.
Last Update:
Jul 18, 2026 03:02 AM
Published:
Apr 28, 2026 19:31 PM
Rows (Regular):
30,309
Rows (Extended):
67,353
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
