This dataset covers 356 verified records spread across
14+ cities in Maharashtra.
356 records carry a verified phone number and
154 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density cities are
Thane (93 listings), Navi Mumbai (52 listings), Mumbai (37 listings), Mumbai Suburban (37 listings), Nagpur (35 listings), Pune (30 listings), Aurangabad (24 listings), and Mumbai City (23 listings).
Health Food Restaurants Locations Database — India
The Health Food restaurants database includes 356+ verified Health Food 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.
Gaurav (IN) bought 1 day ago
·Prabha (IN) bought 4 days ago
·Natwar (IN) bought 1 week ago
·Maya (IN) bought 1 week ago
·Drishti (IN) bought 1 week ago
How to use this data
Local marketing — geo-target ads and outreach against every Health Food catchment in Maharashtra, India.
Insurance + commercial risk — score business density per pincode using the Health Food footprint across Maharashtra, India.
Mobile fleet routing — feed coords into your dispatch system so drivers hit Health Food sites in optimal order.
Frequently asked about this dataset
How many Health Food restaurants are in Maharashtra, India?
Our latest 2026 count shows 356+ live Health Food restaurants across Maharashtra, 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 Health Food restaurants in Maharashtra, India?
The complete Health Food restaurants database for Maharashtra, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Health Food location with address, phone, hours, website and GPS coordinates.
What fields are included in the Health Food restaurants dataset?
The CSV ships with one row per Health Food location, columns covering Health Food 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 Health Food restaurants location data?
Triple-source verification: the Health Food store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Is the Health Food restaurants data updated?
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.
Can I use the Health Food 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 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.
What format do I receive the Health Food 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 Health Food 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 Health Food restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Health Food Stores Database in Maharashtra, India
This World Wide Data list covers 356+ verified records operating in Maharashtra, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.