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This dataset covers 2,400 verified records spread across 14+ cities in Maharashtra. 2,400 records carry a verified phone number and 798 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Chhatrapati Sambhajinagar (10 listings), Mumbai (7 listings), Thane (3 listings), Nashik (3 listings), Nagpur (2 listings), Panvel (2 listings), Wadgaon Kolhati (1 listings), and Pune (1 listings).
Additional coverage spans Navi Mumbai (1), Dapoli (0), Kolhapur (0), Pimpri-Chinchwad (0), Mumbai, Mira Bhayandar (0), Thane, Mira Bhayandar (0) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 2,363 | 2,363 | 791 |
| Chhatrapati Sambhajinagar | 10 | 10 | 0 |
| Mumbai | 7 | 7 | 1 |
| Thane | 3 | 3 | 0 |
| Nashik | 3 | 3 | 1 |
| Nagpur | 2 | 2 | 1 |
| Panvel | 2 | 2 | 0 |
| Wadgaon Kolhati | 1 | 1 | 0 |
| Pune | 1 | 1 | 0 |
| Navi Mumbai | 1 | 1 | 0 |
| All cities (15) | 2,400 | 2,400 | 798 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 2,363 | 2,363 | 791 |
| Chhatrapati Sambhajinagar | 10 | 10 | 0 |
| Mumbai | 7 | 7 | 1 |
| Thane | 3 | 3 | 0 |
| Nashik | 3 | 3 | 1 |
| Nagpur | 2 | 2 | 1 |
| Panvel | 2 | 2 | 0 |
| Wadgaon Kolhati | 1 | 1 | 0 |
| Pune | 1 | 1 | 0 |
| Navi Mumbai | 1 | 1 | 0 |
| Dapoli | 0 | 0 | 0 |
| Kolhapur | 0 | 0 | 0 |
| Pimpri-Chinchwad | 0 | 0 | 0 |
| Mumbai, Mira Bhayandar | 0 | 0 | 0 |
| Thane, Mira Bhayandar | 0 | 0 | 0 |
| All cities (15) | 2,400 | 2,400 | 798 |
The Nail Salons database for Maharashtra, India includes 3,925+ 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.
Nilam (IN) bought 1 day ago · Juhi (IN) bought 2 days ago · Gajendra (IN) bought 3 days ago · Karim (IN) bought 4 days ago · Rakhi (IN) bought 6 days ago
The Nail Salons database for Maharashtra, India contains 3,925+ 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 Nail Salons database for Maharashtra, 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 nail salons footprint in Maharashtra, India.
Yes. The Nail Salons 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 connect with Nail Salons across Maharashtra, India? This dataset offers direct contact information for 3,865 establishments, perfect for understanding local market saturation and identifying independent boutiques seeking premium product lines.
Last Update:
Jul 24, 2026 03:06 AM
Published:
Apr 28, 2026 19:22 PM
Rows (Regular):
1,766
Rows (Extended):
3,925
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
