Data2Sales AI
3.9
★★★★★
★★★★★
Verified buyers
Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.
This dataset covers 979 verified records spread across 254+ districts in Texas. 979 records carry a verified phone number and 343 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are McMullen (160 listings), Haskell (80 listings), Dallam (53 listings), Blanco (40 listings), Randall (32 listings), Loving (27 listings), Maverick (23 listings), and Morris (20 listings).
Additional coverage spans Cochran (18), Galveston (16), Crosby (15), Coke (13), Grimes (12), Ochiltree (11), Sterling (11), Sutton (10), Zapata (9), Freestone (9), Kinney (8), Tom Green (8) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| McMullen | 160 | 160 | 56 |
| Haskell | 80 | 80 | 28 |
| Dallam | 53 | 53 | 19 |
| Blanco | 40 | 40 | 14 |
| Randall | 32 | 32 | 11 |
| Loving | 27 | 27 | 9 |
| Maverick | 23 | 23 | 8 |
| Morris | 20 | 20 | 7 |
| Cochran | 18 | 18 | 6 |
| Galveston | 16 | 16 | 6 |
| All districts (254) | 979 | 979 | 343 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| McMullen | 160 | 160 | 56 |
| Haskell | 80 | 80 | 28 |
| Dallam | 53 | 53 | 19 |
| Blanco | 40 | 40 | 14 |
| Randall | 32 | 32 | 11 |
| Loving | 27 | 27 | 9 |
| Maverick | 23 | 23 | 8 |
| Morris | 20 | 20 | 7 |
| Cochran | 18 | 18 | 6 |
| Galveston | 16 | 16 | 6 |
| Crosby | 15 | 15 | 5 |
| Coke | 13 | 13 | 5 |
| Grimes | 12 | 12 | 4 |
| Ochiltree | 11 | 11 | 4 |
| Sterling | 11 | 11 | 4 |
| Sutton | 10 | 10 | 4 |
| Zapata | 9 | 9 | 3 |
| Freestone | 9 | 9 | 3 |
| Kinney | 8 | 8 | 3 |
| Tom Green | 8 | 8 | 3 |
| Ellis | 8 | 8 | 3 |
| La Salle | 7 | 7 | 2 |
| Garza | 7 | 7 | 2 |
| Palo Pinto | 7 | 7 | 2 |
| Kaufman | 6 | 6 | 2 |
| Fayette | 6 | 6 | 2 |
| Aransas | 6 | 6 | 2 |
| Dimmit | 6 | 6 | 2 |
| Milam | 6 | 6 | 2 |
| Scurry | 5 | 5 | 2 |
| Hidalgo | 5 | 5 | 2 |
| Jackson | 5 | 5 | 2 |
| Terrell | 5 | 5 | 2 |
| Gaines | 5 | 5 | 2 |
| Van Zandt | 5 | 5 | 2 |
| Anderson | 4 | 4 | 1 |
| Jones | 4 | 4 | 1 |
| San Jacinto | 4 | 4 | 1 |
| Swisher | 4 | 4 | 1 |
| Borden | 4 | 4 | 1 |
| Rockwall | 4 | 4 | 1 |
| Smith | 4 | 4 | 1 |
| McCulloch | 4 | 4 | 1 |
| Henderson | 4 | 4 | 1 |
| Ward | 4 | 4 | 1 |
| Deaf Smith | 3 | 3 | 1 |
| Montgomery | 3 | 3 | 1 |
| Concho | 3 | 3 | 1 |
| Upshur | 3 | 3 | 1 |
| Camp | 3 | 3 | 1 |
| Jim Hogg | 3 | 3 | 1 |
| Stonewall | 3 | 3 | 1 |
| Shackelford | 3 | 3 | 1 |
| Red River | 3 | 3 | 1 |
| Reagan | 3 | 3 | 1 |
| Harrison | 3 | 3 | 1 |
| Goliad | 3 | 3 | 1 |
| San Patricio | 3 | 3 | 1 |
| Upton | 3 | 3 | 1 |
| Llano | 3 | 3 | 1 |
| Eastland | 3 | 3 | 1 |
| Hudspeth | 3 | 3 | 1 |
| Grayson | 3 | 3 | 1 |
| Potter | 3 | 3 | 1 |
| Cooke | 2 | 2 | 1 |
| Crockett | 2 | 2 | 1 |
| Fort Bend | 2 | 2 | 1 |
| Denton | 2 | 2 | 1 |
| Bowie | 2 | 2 | 1 |
| Duval | 2 | 2 | 1 |
| Roberts | 2 | 2 | 1 |
| Bosque | 2 | 2 | 1 |
| Wilbarger | 2 | 2 | 1 |
| Liberty | 2 | 2 | 1 |
| Irion | 2 | 2 | 1 |
| Hemphill | 2 | 2 | 1 |
| Johnson | 2 | 2 | 1 |
| Jack | 2 | 2 | 1 |
| Lamar | 2 | 2 | 1 |
| Wise | 2 | 2 | 1 |
| Oldham | 2 | 2 | 1 |
| Gregg | 2 | 2 | 1 |
| Montague | 2 | 2 | 1 |
| Delta | 2 | 2 | 1 |
| Hansford | 2 | 2 | 1 |
| Howard | 2 | 2 | 1 |
| Shelby | 2 | 2 | 1 |
| Lubbock | 2 | 2 | 1 |
| Wharton | 2 | 2 | 1 |
| Hays | 2 | 2 | 1 |
| Kleberg | 2 | 2 | 1 |
| Nacogdoches | 2 | 2 | 1 |
| King | 2 | 2 | 1 |
| Foard | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| McLennan | 2 | 2 | 1 |
| Robertson | 2 | 2 | 1 |
| Moore | 2 | 2 | 1 |
| Waller | 2 | 2 | 1 |
| Real | 2 | 2 | 1 |
| Terry | 2 | 2 | 1 |
| Walker | 2 | 2 | 1 |
| Menard | 2 | 2 | 1 |
| Coleman | 2 | 2 | 1 |
| Mills | 2 | 2 | 1 |
| Donley | 2 | 2 | 1 |
| Kendall | 1 | 1 | 0 |
| Hardeman | 1 | 1 | 0 |
| Cass | 1 | 1 | 0 |
| Bee | 1 | 1 | 0 |
| Taylor | 1 | 1 | 0 |
| Sabine | 1 | 1 | 0 |
| Motley | 1 | 1 | 0 |
| Lampasas | 1 | 1 | 0 |
| Lee | 1 | 1 | 0 |
| Gray | 1 | 1 | 0 |
| Collingsworth | 1 | 1 | 0 |
| Brazos | 1 | 1 | 0 |
| Guadalupe | 1 | 1 | 0 |
| Runnels | 1 | 1 | 0 |
| Rains | 1 | 1 | 0 |
| Ector | 1 | 1 | 0 |
| Bexar | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Williamson | 1 | 1 | 0 |
| DeWitt | 1 | 1 | 0 |
| Hartley | 1 | 1 | 0 |
| Angelina | 1 | 1 | 0 |
| Brewster | 1 | 1 | 0 |
| Bastrop | 1 | 1 | 0 |
| Calhoun | 1 | 1 | 0 |
| Val Verde | 1 | 1 | 0 |
| Panola | 1 | 1 | 0 |
| Titus | 1 | 1 | 0 |
| Austin | 1 | 1 | 0 |
| Culberson | 1 | 1 | 0 |
| Castro | 1 | 1 | 0 |
| Bell | 1 | 1 | 0 |
| Rusk | 1 | 1 | 0 |
| Webb | 1 | 1 | 0 |
| Navarro | 1 | 1 | 0 |
| Dawson | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Tarrant | 1 | 1 | 0 |
| Limestone | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Lamb | 1 | 1 | 0 |
| Floyd | 1 | 1 | 0 |
| Crane | 1 | 1 | 0 |
| Live Oak | 1 | 1 | 0 |
| Bailey | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| San Augustine | 1 | 1 | 0 |
| Cottle | 1 | 1 | 0 |
| Pecos | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Hale | 1 | 1 | 0 |
| Uvalde | 1 | 1 | 0 |
| Fisher | 1 | 1 | 0 |
| Wheeler | 1 | 1 | 0 |
| Presidio | 1 | 1 | 0 |
| Wilson | 1 | 1 | 0 |
| Jim Wells | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Childress | 1 | 1 | 0 |
| Caldwell | 1 | 1 | 0 |
| Refugio | 1 | 1 | 0 |
| Lynn | 1 | 1 | 0 |
| Baylor | 1 | 1 | 0 |
| Leon | 1 | 1 | 0 |
| Hutchinson | 1 | 1 | 0 |
| Fannin | 1 | 1 | 0 |
| Callahan | 1 | 1 | 0 |
| Zavala | 1 | 1 | 0 |
| Carson | 1 | 1 | 0 |
| Starr | 1 | 1 | 0 |
| Gillespie | 1 | 1 | 0 |
| Andrews | 1 | 1 | 0 |
| Victoria | 1 | 1 | 0 |
| Chambers | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Parker | 1 | 1 | 0 |
| Comanche | 1 | 1 | 0 |
| Matagorda | 1 | 1 | 0 |
| Schleicher | 1 | 1 | 0 |
| Winkler | 1 | 1 | 0 |
| Newton | 1 | 1 | 0 |
| Kenedy | 1 | 1 | 0 |
| Gonzales | 1 | 1 | 0 |
| Archer | 1 | 1 | 0 |
| Lipscomb | 1 | 1 | 0 |
| Parmer | 1 | 1 | 0 |
| Midland | 1 | 1 | 0 |
| Hood | 1 | 1 | 0 |
| Hopkins | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Briscoe | 1 | 1 | 0 |
| Jasper | 1 | 1 | 0 |
| Bandera | 1 | 1 | 0 |
| Kimble | 1 | 1 | 0 |
| Comal | 1 | 1 | 0 |
| Cherokee | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Martin | 1 | 1 | 0 |
| Glasscock | 1 | 1 | 0 |
| Brazoria | 1 | 1 | 0 |
| Kent | 1 | 1 | 0 |
| El Paso | 1 | 1 | 0 |
| Burleson | 1 | 1 | 0 |
| Mitchell | 1 | 1 | 0 |
| Reeves | 1 | 1 | 0 |
| Sherman | 1 | 1 | 0 |
| Karnes | 1 | 1 | 0 |
| Erath | 1 | 1 | 0 |
| Nueces | 1 | 1 | 0 |
| Nolan | 1 | 1 | 0 |
| Throckmorton | 1 | 1 | 0 |
| Jeff Davis | 1 | 1 | 0 |
| Kerr | 1 | 1 | 0 |
| Atascosa | 1 | 1 | 0 |
| Trinity | 1 | 1 | 0 |
| Yoakum | 1 | 1 | 0 |
| Falls | 1 | 1 | 0 |
| Hunt | 1 | 1 | 0 |
| Clay | 1 | 1 | 0 |
| Orange | 1 | 1 | 0 |
| Colorado | 1 | 1 | 0 |
| Cameron | 1 | 1 | 0 |
| Brooks | 1 | 1 | 0 |
| Young | 1 | 1 | 0 |
| Lavaca | 1 | 1 | 0 |
| Harris | 1 | 1 | 0 |
| Polk | 1 | 1 | 0 |
| Hall | 1 | 1 | 0 |
| Stephens | 1 | 1 | 0 |
| Armstrong | 1 | 1 | 0 |
| Hill | 1 | 1 | 0 |
| Hockley | 1 | 1 | 0 |
| Willacy | 1 | 1 | 0 |
| Travis | 1 | 1 | 0 |
| San Saba | 1 | 1 | 0 |
| Somervell | 1 | 1 | 0 |
| Mason | 1 | 1 | 0 |
| Burnet | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Edwards | 1 | 1 | 0 |
| Tyler | 1 | 1 | 0 |
| Dickens | 1 | 1 | 0 |
| Collin | 1 | 1 | 0 |
| Wichita | 1 | 1 | 0 |
| Houston | 1 | 1 | 0 |
| Frio | 1 | 1 | 0 |
| Coryell | 1 | 1 | 0 |
| Dallas | 1 | 1 | 0 |
| All districts (254) | 979 | 979 | 343 |
The Download Fine Dining restaurants database includes 979+ verified Download Fine Dining restaurants in Texas, United States 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 979+ live Download Fine Dining restaurants across Texas, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
This page IS the download point. The Download Fine Dining restaurants CSV for Texas, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Download Fine Dining restaurants dataset includes: Download Fine Dining 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.
Every Download Fine Dining location is cross-referenced across the Download Fine 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 Download Fine Dining footprint in Texas, United States.
Yes. The Download Fine 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 Download Fine 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 Download Fine Dining 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 979+ verified records operating in Texas, United States. 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 08, 2026 13:38 PM
Published:
May 11, 2026 04:15 AM
Rows (Extended):
979
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.