Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 2,458 verified records spread across 10+ cities in Gujarat. 2,458 records carry a verified phone number and 793 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Rajkot (6 listings), Ahmedabad (4 listings), Vadodara (3 listings), Surat (0 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) | 2,440 | 2,440 | 789 |
| Rajkot | 6 | 6 | 2 |
| Ahmedabad | 4 | 4 | 0 |
| Vadodara | 3 | 3 | 0 |
| Surat | 0 | 0 | 0 |
| Mandvi | 0 | 0 | 0 |
| Lunawada | 0 | 0 | 0 |
| Amreli | 0 | 0 | 0 |
| Morbi | 0 | 0 | 0 |
| Viramgam | 0 | 0 | 0 |
| All cities (11) | 2,458 | 2,458 | 793 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 2,440 | 2,440 | 789 |
| Rajkot | 6 | 6 | 2 |
| Ahmedabad | 4 | 4 | 0 |
| Vadodara | 3 | 3 | 0 |
| Surat | 0 | 0 | 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) | 2,458 | 2,458 | 793 |
The Quick Service restaurants database includes 2,450+ verified Quick Service 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.
Elias (IN) bought 14 hours ago · Satishwar (IN) bought 1 day ago · Mahmood (IN) bought 3 days ago · Aastha (IN) bought 1 week ago · Mahmood (IN) bought 1 week ago
Quick Service currently operates 2,450+ 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.
This page IS the download point. The Quick Service restaurants CSV for Gujarat, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Quick Service 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.
Every Quick Service location is cross-referenced across the Quick Service store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Quick Service footprint in Gujarat, India.
Yes. The Quick Service 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 Quick Service 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 Quick Service restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to expand your Quick Service Restaurant's reach across Gujarat, India? This curated list of 2,234 contacts offers direct access to independent restaurant owners and regional managers focused on driving foot traffic and increasing order volumes. Identify key decision-makers who prioritize efficient operations and customer growth within this dynamic market.
Last Update:
Jul 05, 2026 03:03 AM
Published:
Apr 28, 2026 20:09 PM
Rows (Regular):
1,103
Rows (Extended):
2,450
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
