This dataset covers 779 verified records spread across
9+ cities in Punjab.
779 records carry a verified phone number and
246 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density cities are
Ludhiana (5 listings), Amritsar, Kanboh (3 listings), Amritsar (2 listings), Firozpur (1 listings), Raikot (1 listings), Doraha (1 listings), Pathankot (1 listings), and Jalandhar (1 listings).
Casual Dining Restaurants Locations Database — India
The Casual Dining restaurants database includes 2,543+ verified Casual Dining restaurants in Punjab, 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
Trade-marketing rollout — kit every Casual Dining outlet in Punjab, India from one master list.
Logistics network planning — place fulfilment nodes near Casual Dining concentrations across Punjab, India.
BI integrations — sync the CSV via API to your data warehouse for cross-source reporting against Casual Dining.
Frequently asked about this dataset
How many Casual Dining restaurants are in Punjab, India?
Our latest 2026 count shows 2,543+ live Casual Dining restaurants across Punjab, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Where can I download a database of all Casual Dining restaurants in Punjab, India?
This page IS the download point. The Casual Dining restaurants CSV for Punjab, India ships immediately after payment and includes all verified store-level fields.
What fields are included in the Casual Dining restaurants dataset?
Per-row columns include Casual 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.
How accurate is the Casual Dining restaurants location data?
Every Casual Dining location is cross-referenced across the Casual Dining 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 Casual Dining footprint in Punjab, India.
Is the Casual Dining restaurants data updated?
Yes. The Casual 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.
Can I use the Casual Dining 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 Casual Dining 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 Casual Dining 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 Casual Dining 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 Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Casual Dining Restaurants Database in Punjab, India
Data2Sales AI's World Wide Data database for Punjab, India consolidates 2,543+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.