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This dataset covers 6,411 verified records spread across 79+ districts in Uttar Pradesh. 6,411 records carry a verified phone number and 2,244 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Etah (1,294 listings), Jhansi (647 listings), Lalitpur (431 listings), Sitapur (324 listings), Barabanki (259 listings), Bahraich (216 listings), Pratapgarh (185 listings), and Maharajganj (162 listings).
Additional coverage spans Lakhimpur Kheri (144), Ambedkar Nagar (129), Varanasi (118), Mahoba (108), Auraiya (100), Jalaun (92), Shahjahanpur (86), Amroha (81), Etawah (76), Siddharthnagar (72), Meerut (68), Sambhal (65) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Etah | 1,294 | 1,294 | 453 |
| Jhansi | 647 | 647 | 226 |
| Lalitpur | 431 | 431 | 151 |
| Sitapur | 324 | 324 | 113 |
| Barabanki | 259 | 259 | 91 |
| Bahraich | 216 | 216 | 76 |
| Pratapgarh | 185 | 185 | 65 |
| Maharajganj | 162 | 162 | 57 |
| Lakhimpur Kheri | 144 | 144 | 50 |
| Ambedkar Nagar | 129 | 129 | 45 |
| All districts (79) | 6,411 | 6,411 | 2,244 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Etah | 1,294 | 1,294 | 453 |
| Jhansi | 647 | 647 | 226 |
| Lalitpur | 431 | 431 | 151 |
| Sitapur | 324 | 324 | 113 |
| Barabanki | 259 | 259 | 91 |
| Bahraich | 216 | 216 | 76 |
| Pratapgarh | 185 | 185 | 65 |
| Maharajganj | 162 | 162 | 57 |
| Lakhimpur Kheri | 144 | 144 | 50 |
| Ambedkar Nagar | 129 | 129 | 45 |
| Varanasi | 118 | 118 | 41 |
| Mahoba | 108 | 108 | 38 |
| Auraiya | 100 | 100 | 35 |
| Jalaun | 92 | 92 | 32 |
| Shahjahanpur | 86 | 86 | 30 |
| Amroha | 81 | 81 | 28 |
| Etawah | 76 | 76 | 27 |
| Siddharthnagar | 72 | 72 | 25 |
| Meerut | 68 | 68 | 24 |
| Sambhal | 65 | 65 | 23 |
| Sonbhadra | 62 | 62 | 22 |
| Muzaffarnagar | 59 | 59 | 21 |
| Saharanpur | 56 | 56 | 20 |
| Kanpur | 54 | 54 | 19 |
| Bareilly | 52 | 52 | 18 |
| Hapur | 50 | 50 | 18 |
| Allahabad | 48 | 48 | 17 |
| Sant Kabir Nagar | 46 | 46 | 16 |
| Azamgarh | 45 | 45 | 16 |
| Chitrakoot | 43 | 43 | 15 |
| Firozabad | 42 | 42 | 15 |
| Rampur | 40 | 40 | 14 |
| Mainpuri | 39 | 39 | 14 |
| Bijnor | 38 | 38 | 13 |
| Mathura | 37 | 37 | 13 |
| Gorakhpur | 36 | 36 | 13 |
| Hamirpur | 35 | 35 | 12 |
| Pilibhit | 34 | 34 | 12 |
| Bulandshahr | 33 | 33 | 12 |
| Chandauli | 32 | 32 | 11 |
| Sultanpur | 32 | 32 | 11 |
| Jaunpur | 31 | 31 | 11 |
| Budaun | 30 | 30 | 11 |
| Mirzapur | 29 | 29 | 10 |
| Deoria | 29 | 29 | 10 |
| Agra | 28 | 28 | 10 |
| Lucknow | 28 | 28 | 10 |
| Basti | 27 | 27 | 9 |
| Kasganj | 26 | 26 | 9 |
| Amethi | 26 | 26 | 9 |
| Ghaziabad | 25 | 25 | 9 |
| Mau | 25 | 25 | 9 |
| Kushinagar | 24 | 24 | 8 |
| Fatehpur | 24 | 24 | 8 |
| Farrukhabad | 24 | 24 | 8 |
| Hathras | 23 | 23 | 8 |
| Ballia | 23 | 23 | 8 |
| Kheri | 22 | 22 | 8 |
| Baghpat | 22 | 22 | 8 |
| Kaushambi | 22 | 22 | 8 |
| Aligarh | 21 | 21 | 7 |
| Moradabad | 21 | 21 | 7 |
| Kannauj | 21 | 21 | 7 |
| Raebareli | 20 | 20 | 7 |
| Kanpur Dehat | 20 | 20 | 7 |
| Unnao | 20 | 20 | 7 |
| Prayagraj | 19 | 19 | 7 |
| Gautam Buddha Nagar | 19 | 19 | 7 |
| Banda | 19 | 19 | 7 |
| Shrawasti | 18 | 18 | 6 |
| Shravasti | 18 | 18 | 6 |
| Hardoi | 18 | 18 | 6 |
| Shamli | 18 | 18 | 6 |
| Ayodhya | 17 | 17 | 6 |
| Kanpur Nagar | 17 | 17 | 6 |
| Bhadohi | 17 | 17 | 6 |
| Ghazipur | 17 | 17 | 6 |
| Gonda | 17 | 17 | 6 |
| Balrampur | 16 | 16 | 6 |
| All districts (79) | 6,411 | 6,411 | 2,244 |
The Top Casual Dining restaurants database includes 6,411+ verified Top Casual Dining restaurants in Uttar 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.
Top Casual Dining currently operates 6,411+ restaurants in Uttar Pradesh, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
This page IS the download point. The Top Casual Dining restaurants CSV for Uttar Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Top 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.
Each Top Casual Dining row goes through phone validation, address cross-check against Google Maps and a check against the official Top Casual Dining Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Top 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 Top 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 Top Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Uttar Pradesh, India is a 6,411+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Last Update:
Jul 06, 2026 04:20 AM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
2,885
Rows (Extended):
6,411
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
