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This dataset covers 358 verified records spread across 11+ cities in Andhra Pradesh. 358 records carry a verified phone number and 137 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Visakhapatnam (3 listings), Vijayawada (1 listings), Nandyala (0 listings), Nerellavalasa Rural (0 listings), Navuluru (0 listings), Gajuwaka (0 listings), Endada (0 listings), and Rushikonda (0 listings).
Additional coverage spans Vizianagaram (0), Tadepalle (0), Fishing harbour, Visakhapatnam (0) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 349 | 349 | 133 |
| Visakhapatnam | 3 | 3 | 2 |
| Vijayawada | 1 | 1 | 0 |
| Nandyala | 0 | 0 | 0 |
| Nerellavalasa Rural | 0 | 0 | 0 |
| Navuluru | 0 | 0 | 0 |
| Gajuwaka | 0 | 0 | 0 |
| Endada | 0 | 0 | 0 |
| Rushikonda | 0 | 0 | 0 |
| Vizianagaram | 0 | 0 | 0 |
| All cities (12) | 358 | 358 | 137 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 349 | 349 | 133 |
| Visakhapatnam | 3 | 3 | 2 |
| Vijayawada | 1 | 1 | 0 |
| Nandyala | 0 | 0 | 0 |
| Nerellavalasa Rural | 0 | 0 | 0 |
| Navuluru | 0 | 0 | 0 |
| Gajuwaka | 0 | 0 | 0 |
| Endada | 0 | 0 | 0 |
| Rushikonda | 0 | 0 | 0 |
| Vizianagaram | 0 | 0 | 0 |
| Tadepalle | 0 | 0 | 0 |
| Fishing harbour, Visakhapatnam | 0 | 0 | 0 |
| All cities (12) | 358 | 358 | 137 |
The Fine Dining restaurants database includes 350+ verified Fine Dining restaurants in Andhra Pradesh, 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.
Mustafa (IN) bought 3 days ago · Umar (IN) bought 4 days ago · Alka (IN) bought 1 week ago · Hanuman (IN) bought 1 week ago · Anshula (IN) bought 1 week ago
Counting only operational sites, the Fine Dining footprint in Andhra Pradesh, India sits at about 350+ restaurants this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Fine Dining restaurants CSV for Andhra Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Fine 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.
Each Fine Dining row goes through phone validation, address cross-check against Google Maps and a check against the official Fine Dining Andhra Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Fine 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.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Fine Dining catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
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.
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 Fine Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Are you looking to connect with top-tier Fine Dining Restaurants across Andhra Pradesh? This curated list provides direct contact information for decision-makers at establishments focused on high-ticket, experiential dining. Expand your reach and identify key partners within this discerning market segment.
Last Update:
Jul 01, 2026 03:53 AM
Published:
May 01, 2026 04:17 AM
Rows (Extended):
350
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
