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This dataset covers 12,559 verified records spread across 79+ districts in Uttar Pradesh. 12,559 records carry a verified phone number and 4,396 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kaushambi (2,536 listings), Auraiya (1,268 listings), Mahoba (845 listings), Kanpur Nagar (634 listings), Ghazipur (507 listings), Jalaun (423 listings), Jhansi (362 listings), and Agra (317 listings).
Additional coverage spans Ghaziabad (282), Kanpur Dehat (254), Chitrakoot (231), Sitapur (211), Saharanpur (195), Jaunpur (181), Rampur (169), Balrampur (158), Bijnor (149), Fatehpur (141), Mathura (133), Muzaffarnagar (127) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kaushambi | 2,536 | 2,536 | 888 |
| Auraiya | 1,268 | 1,268 | 444 |
| Mahoba | 845 | 845 | 296 |
| Kanpur Nagar | 634 | 634 | 222 |
| Ghazipur | 507 | 507 | 177 |
| Jalaun | 423 | 423 | 148 |
| Jhansi | 362 | 362 | 127 |
| Agra | 317 | 317 | 111 |
| Ghaziabad | 282 | 282 | 99 |
| Kanpur Dehat | 254 | 254 | 89 |
| All districts (79) | 12,559 | 12,559 | 4,396 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kaushambi | 2,536 | 2,536 | 888 |
| Auraiya | 1,268 | 1,268 | 444 |
| Mahoba | 845 | 845 | 296 |
| Kanpur Nagar | 634 | 634 | 222 |
| Ghazipur | 507 | 507 | 177 |
| Jalaun | 423 | 423 | 148 |
| Jhansi | 362 | 362 | 127 |
| Agra | 317 | 317 | 111 |
| Ghaziabad | 282 | 282 | 99 |
| Kanpur Dehat | 254 | 254 | 89 |
| Chitrakoot | 231 | 231 | 81 |
| Sitapur | 211 | 211 | 74 |
| Saharanpur | 195 | 195 | 68 |
| Jaunpur | 181 | 181 | 63 |
| Rampur | 169 | 169 | 59 |
| Balrampur | 158 | 158 | 55 |
| Bijnor | 149 | 149 | 52 |
| Fatehpur | 141 | 141 | 49 |
| Mathura | 133 | 133 | 47 |
| Muzaffarnagar | 127 | 127 | 44 |
| Shravasti | 121 | 121 | 42 |
| Prayagraj | 115 | 115 | 40 |
| Pratapgarh | 110 | 110 | 39 |
| Farrukhabad | 106 | 106 | 37 |
| Amroha | 101 | 101 | 35 |
| Hapur | 98 | 98 | 34 |
| Meerut | 94 | 94 | 33 |
| Mirzapur | 91 | 91 | 32 |
| Shrawasti | 87 | 87 | 30 |
| Etawah | 85 | 85 | 30 |
| Sambhal | 82 | 82 | 29 |
| Raebareli | 79 | 79 | 28 |
| Moradabad | 77 | 77 | 27 |
| Kanpur | 75 | 75 | 26 |
| Hamirpur | 72 | 72 | 25 |
| Aligarh | 70 | 70 | 25 |
| Baghpat | 69 | 69 | 24 |
| Kheri | 67 | 67 | 23 |
| Ballia | 65 | 65 | 23 |
| Mainpuri | 63 | 63 | 22 |
| Ambedkar Nagar | 62 | 62 | 22 |
| Hathras | 60 | 60 | 21 |
| Pilibhit | 59 | 59 | 21 |
| Budaun | 58 | 58 | 20 |
| Etah | 56 | 56 | 20 |
| Deoria | 55 | 55 | 19 |
| Gautam Buddha Nagar | 54 | 54 | 19 |
| Bulandshahr | 53 | 53 | 19 |
| Basti | 52 | 52 | 18 |
| Kasganj | 51 | 51 | 18 |
| Lucknow | 50 | 50 | 18 |
| Amethi | 49 | 49 | 17 |
| Azamgarh | 48 | 48 | 17 |
| Mau | 47 | 47 | 16 |
| Shahjahanpur | 46 | 46 | 16 |
| Bareilly | 45 | 45 | 16 |
| Barabanki | 44 | 44 | 15 |
| Chandauli | 44 | 44 | 15 |
| Siddharthnagar | 43 | 43 | 15 |
| Shamli | 42 | 42 | 15 |
| Kushinagar | 42 | 42 | 15 |
| Gonda | 41 | 41 | 14 |
| Hardoi | 40 | 40 | 14 |
| Bhadohi | 40 | 40 | 14 |
| Sultanpur | 39 | 39 | 14 |
| Ayodhya | 38 | 38 | 13 |
| Maharajganj | 38 | 38 | 13 |
| Firozabad | 37 | 37 | 13 |
| Gorakhpur | 37 | 37 | 13 |
| Bahraich | 36 | 36 | 13 |
| Banda | 36 | 36 | 13 |
| Sonbhadra | 35 | 35 | 12 |
| Sant Kabir Nagar | 35 | 35 | 12 |
| Lalitpur | 34 | 34 | 12 |
| Allahabad | 34 | 34 | 12 |
| Unnao | 33 | 33 | 12 |
| Varanasi | 33 | 33 | 12 |
| Lakhimpur Kheri | 33 | 33 | 12 |
| Kannauj | 30 | 30 | 11 |
| All districts (79) | 12,559 | 12,559 | 4,396 |
The Quick Service restaurants database includes 12,559+ verified Quick Service 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.
Quick Service currently operates 12,559+ 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 Quick Service restaurants CSV for Uttar Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Quick Service 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 Quick Service row goes through phone validation, address cross-check against Google Maps and a check against the official Quick Service Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
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.
This World Wide Data list covers 12,559+ verified records operating in Uttar Pradesh, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Last Update:
Jul 06, 2026 04:20 AM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
5,652
Rows (Extended):
12,559
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
