Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 2,696 verified records spread across 11+ cities in Andhra Pradesh. 2,696 records carry a verified phone number and 644 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Visakhapatnam (18 listings), Vijayawada (9 listings), Nandyala (3 listings), Nerellavalasa Rural (2 listings), Navuluru (1 listings), Gajuwaka (1 listings), Endada (1 listings), and Rushikonda (1 listings).
Additional coverage spans Vizianagaram (1), Tadepalle (1), Fishing harbour, Visakhapatnam (1) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 2,657 | 2,657 | 626 |
| Visakhapatnam | 18 | 18 | 10 |
| Vijayawada | 9 | 9 | 3 |
| Nandyala | 3 | 3 | 1 |
| Nerellavalasa Rural | 2 | 2 | 0 |
| Navuluru | 1 | 1 | 1 |
| Gajuwaka | 1 | 1 | 0 |
| Endada | 1 | 1 | 0 |
| Rushikonda | 1 | 1 | 1 |
| Vizianagaram | 1 | 1 | 1 |
| All cities (12) | 2,696 | 2,696 | 644 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 2,657 | 2,657 | 626 |
| Visakhapatnam | 18 | 18 | 10 |
| Vijayawada | 9 | 9 | 3 |
| Nandyala | 3 | 3 | 1 |
| Nerellavalasa Rural | 2 | 2 | 0 |
| Navuluru | 1 | 1 | 1 |
| Gajuwaka | 1 | 1 | 0 |
| Endada | 1 | 1 | 0 |
| Rushikonda | 1 | 1 | 1 |
| Vizianagaram | 1 | 1 | 1 |
| Tadepalle | 1 | 1 | 0 |
| Fishing harbour, Visakhapatnam | 1 | 1 | 1 |
| All cities (12) | 2,696 | 2,696 | 644 |
The Restaurants database for Andhra Pradesh, India includes 1,354+ 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.
Aabha (IN) bought 1 day ago · Nishtha (IN) bought 1 day ago · Radhe (IN) bought 2 days ago · Amrit (IN) bought 5 days ago · Somnath (IN) bought 6 days ago
The Restaurants database for Andhra Pradesh, India contains 1,354+ 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 Restaurants database for Andhra Pradesh, 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 restaurants footprint in Andhra Pradesh, India.
Yes. The Restaurants 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.
Looking to expand your reach within the vibrant restaurant scene of Andhra Pradesh, India? This comprehensive list of 1317 restaurant contacts is tailored for businesses aiming to connect with independent eateries, understanding their unique operational needs and customer bases across the region.
Last Update:
Jul 26, 2026 03:04 AM
Published:
May 10, 2026 02:40 AM
Rows (Regular):
609
Rows (Extended):
1,354
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
