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This dataset covers 2,694 verified records spread across 10+ cities in Andhra Pradesh. 2,694 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), 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) | 2,657 | 2,657 | 626 |
| 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) | 2,694 | 2,694 | 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 |
| 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) | 2,694 | 2,694 | 644 |
The Quick Service restaurants database includes 2,694+ verified Quick Service 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.
Nagma (IN) bought 5 days ago · Surya (IN) bought 1 week ago · Jyoti (IN) bought 1 week ago · Nalini (IN) bought 1 week ago · Sai (IN) bought 1 week ago
There are roughly 2,694+ Quick Service 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.
Data2Sales AI hosts the most up-to-date Quick Service restaurants list for Nellore, Andhra Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Quick Service restaurants dataset includes: Quick Service store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Triple-source verification: the Quick Service 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.
Yes. The Quick Service 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 Quick Service 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 Quick Service 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 2,694+ 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:
May 31, 2026 23:36 PM
Published:
May 11, 2026 04:58 AM
Rows (Regular):
1,212
Rows (Extended):
2,694
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
