This dataset covers 3,112 verified records spread across
19+ cities in Maharashtra.
3,112 records carry a verified phone number and
742 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density cities are
Mumbai (66 listings), Nagpur (8 listings), Nashik (8 listings), Pune (8 listings), Navi Mumbai (8 listings), Thane (5 listings), Chhatrapati Sambhajinagar (5 listings), and Panvel (4 listings).
Casual Dining Restaurants Locations Database — India
The Casual Dining restaurants database includes 8,492+ verified Casual Dining restaurants in Maharashtra, 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
Channel-partner recruitment — identify white-space areas in Maharashtra, India not yet covered by Casual Dining.
Investor / board reporting — quantify Casual Dining reach in Maharashtra, India with verifiable third-party data.
Sales enablement — give reps verified address + hours + phone so they can prep before every Casual Dining visit.
Frequently asked about this dataset
How many Casual Dining restaurants are in Maharashtra, India?
Casual Dining currently operates 8,492+ restaurants in Maharashtra, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Where can I download a database of all Casual Dining restaurants in Maharashtra, India?
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Casual Dining restaurants CSV covering all of Maharashtra, India within seconds. Every row is human-checked.
What fields are included in the Casual Dining restaurants dataset?
The CSV ships with one row per Casual Dining location, columns covering Casual Dining store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
How accurate is the Casual Dining restaurants location data?
Each Casual Dining row goes through phone validation, address cross-check against Google Maps and a check against the official Casual Dining Maharashtra, India locator. Records that fail any of those drop before you ever see them.
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 Maharashtra, India
Data2Sales AI's World Wide Data database for Maharashtra, India consolidates 8,492+ 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.