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This dataset covers 3,851 verified records spread across 33+ states in India. 3,851 records carry a verified phone number and 837 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density states are Rajkot (5 listings), Mumbai (2 listings), Coimbatore (1 listings), New Delhi (1 listings), Bhopal (1 listings), Chhatrapati Sambhajinagar (1 listings), Surat (1 listings), and Amritsar (1 listings).
Additional coverage spans Visakhapatnam (0), Vijayawada (0), Kolkata (0), Thane (0), Vadodara (0), Delhi (0), Chennai (0), Munger (0), Mehsana (0), Kota (0), Upleta (0), Ghaziabad (0) , plus 13 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 3,824 | 3,824 | 829 |
| Rajkot | 5 | 5 | 0 |
| Mumbai | 2 | 2 | 0 |
| Coimbatore | 1 | 1 | 1 |
| New Delhi | 1 | 1 | 0 |
| Bhopal | 1 | 1 | 0 |
| Chhatrapati Sambhajinagar | 1 | 1 | 0 |
| Surat | 1 | 1 | 0 |
| Amritsar | 1 | 1 | 0 |
| Visakhapatnam | 0 | 0 | 0 |
| Vijayawada | 0 | 0 | 0 |
| Kolkata | 0 | 0 | 0 |
| Thane | 0 | 0 | 0 |
| Vadodara | 0 | 0 | 0 |
| Delhi | 0 | 0 | 0 |
| Chennai | 0 | 0 | 0 |
| Munger | 0 | 0 | 0 |
| Mehsana | 0 | 0 | 0 |
| Kota | 0 | 0 | 0 |
| Upleta | 0 | 0 | 0 |
| Ghaziabad | 0 | 0 | 0 |
| Bengaluru | 0 | 0 | 0 |
| Cooch Behar | 0 | 0 | 0 |
| Dausa | 0 | 0 | 0 |
| Srinagar | 0 | 0 | 0 |
| Guwahati | 0 | 0 | 0 |
| Rajnandgaon | 0 | 0 | 0 |
| Doiwala, Missar Wala Kala | 0 | 0 | 0 |
| New Delhi, Delhi | 0 | 0 | 0 |
| Indore | 0 | 0 | 0 |
| Barjala, Choumohani | 0 | 0 | 0 |
| Sri Muktsar Sahib, Muktsar Rural | 0 | 0 | 0 |
| Dabra | 0 | 0 | 0 |
| Hoshiarpur | 0 | 0 | 0 |
| All states (34) | 3,851 | 3,851 | 837 |
The Fast Food Chains database for India includes 3,850+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Rehman (IN) bought 1 day ago · Feroz (IN) bought 2 days ago · Pushpa (IN) bought 6 days ago · Kajol (IN) bought 1 week ago · Shashank (IN) bought 2 weeks ago
The Fast Food Chains database for India contains 3,850+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Fast Food Chains database for India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live fast food chains footprint in India.
Yes. The Fast Food Chains dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Expand your reach within India's dynamic fast-food sector. Our curated list of 10,547 contacts provides direct access to decision-makers at fast food chains, enabling targeted outreach for partners focusing on mass-market penetration and consistent supply chain needs.
Last Update:
Jul 05, 2026 03:15 AM
Published:
Apr 27, 2026 08:33 AM
Rows (Regular):
1,733
Rows (Extended):
3,850
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