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This dataset covers 1,354 verified records spread across 10+ cities in Andhra Pradesh. 1,354 records carry a verified phone number and 321 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), Navuluru (1 listings), Gajuwaka (1 listings), Endada (1 listings), Rushikonda (1 listings), and Vizianagaram (1 listings).
Additional coverage spans Tadepalle (1), Fishing harbour, Visakhapatnam (1) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 1,317 | 1,317 | 303 |
| Visakhapatnam | 18 | 18 | 10 |
| Vijayawada | 9 | 9 | 3 |
| Nandyala | 3 | 3 | 1 |
| Navuluru | 1 | 1 | 1 |
| Gajuwaka | 1 | 1 | 0 |
| Endada | 1 | 1 | 0 |
| Rushikonda | 1 | 1 | 1 |
| Vizianagaram | 1 | 1 | 1 |
| Tadepalle | 1 | 1 | 0 |
| All cities (11) | 1,354 | 1,354 | 321 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 1,317 | 1,317 | 303 |
| Visakhapatnam | 18 | 18 | 10 |
| Vijayawada | 9 | 9 | 3 |
| Nandyala | 3 | 3 | 1 |
| 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 (11) | 1,354 | 1,354 | 321 |
The Casual Dining restaurants database includes 1,017+ verified Casual Dining restaurants in Nellore, 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 22 hours ago · Bahadur (IN) bought 1 day ago · Hemendra (IN) bought 3 days ago · Rita (IN) bought 1 month ago · Preet (IN) bought 1 month ago
There are roughly 1,017+ Casual Dining restaurants in Nellore, Andhra Pradesh, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
This page IS the download point. The Casual Dining restaurants CSV for Nellore, Andhra Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Casual 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.
Every Casual Dining location is cross-referenced across the Casual Dining store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Casual Dining footprint in Nellore, Andhra Pradesh, India.
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.
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.
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 Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Nellore, Andhra Pradesh, India consolidates 1,017+ 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.
Last Update:
Aug 04, 2026 05:45 AM
Published:
May 11, 2026 04:46 AM
Rows (Regular):
509
Rows (Extended):
1,017
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
