This dataset covers 3 verified records spread across
20+ districts in Jammu and Kashmir.
3 records carry a verified phone number and
1 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Shopian (2 listings), Anantnag (1 listings), Doda (1 listings), Samba (1 listings), Kathua (1 listings), Rajouri (1 listings), Baramulla (1 listings), and Kulgam (1 listings).
The Premium restaurants database includes 3+ verified Premium restaurants in Jammu and Kashmir, 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.
How to use this data
Local SEO — anchor schema markup for your business near each Premium location in Jammu and Kashmir, India.
Investor / board reporting — quantify Premium reach in Jammu and Kashmir, India with verifiable third-party data.
Customer support ops — match incoming tickets to the nearest Premium location in Jammu and Kashmir, India for in-person follow-up.
Frequently asked about this dataset
How many Premium restaurants are in Jammu and Kashmir, India?
There are roughly 3+ Premium restaurants in Jammu and Kashmir, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Where can I download a database of all Premium restaurants in Jammu and Kashmir, India?
Data2Sales AI hosts the most up-to-date Premium restaurants list for Jammu and Kashmir, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
What fields are included in the Premium restaurants dataset?
Each Premium record carries the full operational profile: Premium 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.
How accurate is the Premium restaurants location data?
We verify each Premium 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 Jammu and Kashmir, India footprint, not last year's.
Is the Premium restaurants data updated?
Yes. The Premium 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.
Can I use the Premium restaurants data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Premium catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Premium restaurants database in?
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.
How soon after purchase can I download the Premium restaurants CSV?
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 Premium restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Restaurant Aggregator Platforms Database in Jammu and Kashmir, India
Looking to reach world wide data decision-makers in Jammu and Kashmir, India? This database aggregates 3+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.