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This dataset covers 3,664 verified records spread across 10+ cities in Gujarat. 3,664 records carry a verified phone number and 1,183 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Rajkot (9 listings), Ahmedabad (6 listings), Vadodara (5 listings), Surat (1 listings), Mandvi (0 listings), Lunawada (0 listings), Amreli (0 listings), and Morbi (0 listings).
Additional coverage spans Viramgam (0), Ahmedabad, Sarkhej-Okaf (0) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 3,638 | 3,638 | 1,177 |
| Rajkot | 9 | 9 | 3 |
| Ahmedabad | 6 | 6 | 1 |
| Vadodara | 5 | 5 | 1 |
| Surat | 1 | 1 | 0 |
| Mandvi | 0 | 0 | 0 |
| Lunawada | 0 | 0 | 0 |
| Amreli | 0 | 0 | 0 |
| Morbi | 0 | 0 | 0 |
| Viramgam | 0 | 0 | 0 |
| All cities (11) | 3,664 | 3,664 | 1,183 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 3,638 | 3,638 | 1,177 |
| Rajkot | 9 | 9 | 3 |
| Ahmedabad | 6 | 6 | 1 |
| Vadodara | 5 | 5 | 1 |
| Surat | 1 | 1 | 0 |
| Mandvi | 0 | 0 | 0 |
| Lunawada | 0 | 0 | 0 |
| Amreli | 0 | 0 | 0 |
| Morbi | 0 | 0 | 0 |
| Viramgam | 0 | 0 | 0 |
| Ahmedabad, Sarkhej-Okaf | 0 | 0 | 0 |
| All cities (11) | 3,664 | 3,664 | 1,183 |
The Fine Dining restaurants database includes 3,660+ verified Fine Dining restaurants in Gujarat, 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.
Mehul (IN) bought 1 day ago · Urmi (IN) bought 1 week ago · Fatima (IN) bought 1 week ago · Vaishali (IN) bought 1 week ago · Farah (IN) bought 1 week ago
Fine Dining currently operates 3,660+ restaurants in Gujarat, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
The complete Fine Dining restaurants database for Gujarat, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Fine Dining location with address, phone, hours, website and GPS coordinates.
Per-row columns include Fine Dining 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.
We verify each Fine Dining entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Gujarat, India footprint, not last year's.
Yes. The Fine Dining restaurants 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 Fine Dining 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 Fine Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Seeking to connect with high-end culinary establishments in Gujarat, India? This curated list of 3330 Fine Dining Restaurants provides direct access to decision-makers at independent, chef-driven venues, crucial for suppliers of premium ingredients and luxury hospitality services.
Last Update:
Jul 02, 2026 03:53 AM
Published:
Apr 28, 2026 19:29 PM
Rows (Regular):
1,647
Rows (Extended):
3,660
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
