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This dataset covers 138 verified records spread across 11+ cities in Gujarat. 138 records carry a verified phone number and 59 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Ahmedabad (51 listings), Vadodara (38 listings), Surat (23 listings), Rajkot (19 listings), Jamnagar (1 listings), Gandhinagar (1 listings), Gir Somnath (1 listings), and Mehsana (1 listings).
Additional coverage spans Anand (1), Kutch (1), Bharuch (1) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Ahmedabad | 51 | 51 | 16 |
| Vadodara | 38 | 38 | 23 |
| Surat | 23 | 23 | 13 |
| Rajkot | 19 | 19 | 6 |
| Jamnagar | 1 | 1 | 0 |
| Gandhinagar | 1 | 1 | 0 |
| Gir Somnath | 1 | 1 | 0 |
| Mehsana | 1 | 1 | 1 |
| Anand | 1 | 1 | 0 |
| Kutch | 1 | 1 | 0 |
| All cities (11) | 138 | 138 | 59 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Ahmedabad | 51 | 51 | 16 |
| Vadodara | 38 | 38 | 23 |
| Surat | 23 | 23 | 13 |
| Rajkot | 19 | 19 | 6 |
| Jamnagar | 1 | 1 | 0 |
| Gandhinagar | 1 | 1 | 0 |
| Gir Somnath | 1 | 1 | 0 |
| Mehsana | 1 | 1 | 1 |
| Anand | 1 | 1 | 0 |
| Kutch | 1 | 1 | 0 |
| Bharuch | 1 | 1 | 0 |
| All cities (11) | 138 | 138 | 59 |
The Health Food restaurants database includes 138+ verified Health Food 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.
Nilima (IN) bought 20 hours ago · Chand (IN) bought 3 days ago · Umesh (IN) bought 5 days ago · Hira (IN) bought 6 days ago · Nakul (IN) bought 1 week ago
Our latest 2026 count shows 138+ live Health Food restaurants across Gujarat, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
This page IS the download point. The Health Food restaurants CSV for Gujarat, India ships immediately after payment and includes all verified store-level fields.
Each Health Food record carries the full operational profile: Health Food store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
We verify each Health Food 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 Health Food 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 Health Food 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 Health Food restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Gujarat, India is a 138+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Last Update:
Jul 05, 2026 03:05 AM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
138
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
