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This dataset covers 72 verified records spread across 12+ districts in Delhi. 72 records carry a verified phone number and 25 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are South West Delhi (23 listings), South Delhi (12 listings), North Delhi (8 listings), New Delhi (6 listings), Delhi (5 listings), South East Delhi (4 listings), Shahdara (3 listings), and North West Delhi (3 listings).
Additional coverage spans Central Delhi (3), West Delhi (2), East Delhi (2), North East Delhi (1) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| South West Delhi | 23 | 23 | 8 |
| South Delhi | 12 | 12 | 4 |
| North Delhi | 8 | 8 | 3 |
| New Delhi | 6 | 6 | 2 |
| Delhi | 5 | 5 | 2 |
| South East Delhi | 4 | 4 | 1 |
| Shahdara | 3 | 3 | 1 |
| North West Delhi | 3 | 3 | 1 |
| Central Delhi | 3 | 3 | 1 |
| West Delhi | 2 | 2 | 1 |
| All districts (12) | 72 | 72 | 25 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| South West Delhi | 23 | 23 | 8 |
| South Delhi | 12 | 12 | 4 |
| North Delhi | 8 | 8 | 3 |
| New Delhi | 6 | 6 | 2 |
| Delhi | 5 | 5 | 2 |
| South East Delhi | 4 | 4 | 1 |
| Shahdara | 3 | 3 | 1 |
| North West Delhi | 3 | 3 | 1 |
| Central Delhi | 3 | 3 | 1 |
| West Delhi | 2 | 2 | 1 |
| East Delhi | 2 | 2 | 1 |
| North East Delhi | 1 | 1 | 0 |
| All districts (12) | 72 | 72 | 25 |
The Download restaurants database includes 72+ verified Download restaurants in Delhi, 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.
Our latest 2026 count shows 72+ live Download restaurants across Delhi, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Download restaurants list for Delhi, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Download restaurants dataset includes: Download 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 Download 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 Download 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 Download 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 Download restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Delhi, India? This database aggregates 72+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
72
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
