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This dataset covers 139 verified records spread across 16+ cities in Maharashtra. 139 records carry a verified phone number and 76 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Aurangabad (40 listings), Nagpur (20 listings), Mumbai City (13 listings), Pune (13 listings), Navi Mumbai (13 listings), Mumbai (12 listings), Mumbai Suburban (9 listings), and Thane (5 listings).
Additional coverage spans Nashik (5), Chandrapur (2), Osmanabad (2), Kolhapur (1), Gadchiroli (1), Parbhani (1), Nanded (1), Beed (1) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Aurangabad | 40 | 40 | 25 |
| Nagpur | 20 | 20 | 8 |
| Mumbai City | 13 | 13 | 7 |
| Pune | 13 | 13 | 7 |
| Navi Mumbai | 13 | 13 | 8 |
| Mumbai | 12 | 12 | 7 |
| Mumbai Suburban | 9 | 9 | 5 |
| Thane | 5 | 5 | 5 |
| Nashik | 5 | 5 | 2 |
| Chandrapur | 2 | 2 | 0 |
| All cities (16) | 139 | 139 | 76 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Aurangabad | 40 | 40 | 25 |
| Nagpur | 20 | 20 | 8 |
| Mumbai City | 13 | 13 | 7 |
| Pune | 13 | 13 | 7 |
| Navi Mumbai | 13 | 13 | 8 |
| Mumbai | 12 | 12 | 7 |
| Mumbai Suburban | 9 | 9 | 5 |
| Thane | 5 | 5 | 5 |
| Nashik | 5 | 5 | 2 |
| Chandrapur | 2 | 2 | 0 |
| Osmanabad | 2 | 2 | 0 |
| Kolhapur | 1 | 1 | 1 |
| Gadchiroli | 1 | 1 | 0 |
| Parbhani | 1 | 1 | 1 |
| Nanded | 1 | 1 | 0 |
| Beed | 1 | 1 | 0 |
| All cities (16) | 139 | 139 | 76 |
The Four Star Hotels database for Maharashtra, India includes 707+ 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.
Sunita (IN) bought 13 hours ago · Sid (IN) bought 14 hours ago · Nawab (IN) bought 2 days ago · Akanksha (IN) bought 3 days ago · Lalit (IN) bought 3 days ago
The Four Star Hotels database for Maharashtra, India contains 707+ 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 Four Star Hotels 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 four star hotels footprint in Maharashtra, India.
Yes. The Four Star Hotels 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 Four Star Hotels across Maharashtra, India? Our meticulously compiled list of 707 contacts provides insights into independent properties, crucial for suppliers focused on high-volume F&B or bespoke amenity provisions. Understand the landscape of upscale hospitality in the region with direct access to key decision-makers.
Last Update:
Jul 29, 2026 03:02 AM
Published:
May 01, 2026 04:01 AM
Rows (Extended):
707
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
