Data2Sales AI
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Verified buyers
Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.
This dataset covers 4,824 verified records spread across 254+ districts in Texas. 4,824 records carry a verified phone number and 1,688 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Lee (789 listings), Young (394 listings), Rusk (263 listings), Webb (197 listings), San Jacinto (158 listings), Wilbarger (131 listings), Wheeler (113 listings), and Lamb (99 listings).
Additional coverage spans DeWitt (88), Crockett (79), Eastland (72), Hudspeth (66), Navarro (61), Harrison (56), Bee (53), Castro (49), Hale (46), Austin (44), Panola (42), Tarrant (39) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lee | 789 | 789 | 276 |
| Young | 394 | 394 | 138 |
| Rusk | 263 | 263 | 92 |
| Webb | 197 | 197 | 69 |
| San Jacinto | 158 | 158 | 55 |
| Wilbarger | 131 | 131 | 46 |
| Wheeler | 113 | 113 | 40 |
| Lamb | 99 | 99 | 35 |
| DeWitt | 88 | 88 | 31 |
| Crockett | 79 | 79 | 28 |
| All districts (254) | 4,824 | 4,824 | 1,688 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lee | 789 | 789 | 276 |
| Young | 394 | 394 | 138 |
| Rusk | 263 | 263 | 92 |
| Webb | 197 | 197 | 69 |
| San Jacinto | 158 | 158 | 55 |
| Wilbarger | 131 | 131 | 46 |
| Wheeler | 113 | 113 | 40 |
| Lamb | 99 | 99 | 35 |
| DeWitt | 88 | 88 | 31 |
| Crockett | 79 | 79 | 28 |
| Eastland | 72 | 72 | 25 |
| Hudspeth | 66 | 66 | 23 |
| Navarro | 61 | 61 | 21 |
| Harrison | 56 | 56 | 20 |
| Bee | 53 | 53 | 19 |
| Castro | 49 | 49 | 17 |
| Hale | 46 | 46 | 16 |
| Austin | 44 | 44 | 15 |
| Panola | 42 | 42 | 15 |
| Tarrant | 39 | 39 | 14 |
| Tyler | 38 | 38 | 13 |
| Mason | 36 | 36 | 13 |
| Stonewall | 34 | 34 | 12 |
| Hansford | 33 | 33 | 12 |
| Calhoun | 32 | 32 | 11 |
| Montague | 30 | 30 | 11 |
| Bastrop | 29 | 29 | 10 |
| Red River | 28 | 28 | 10 |
| Dawson | 27 | 27 | 9 |
| Marion | 26 | 26 | 9 |
| Fisher | 25 | 25 | 9 |
| Uvalde | 25 | 25 | 9 |
| Hemphill | 24 | 24 | 8 |
| Palo Pinto | 23 | 23 | 8 |
| Hardin | 23 | 23 | 8 |
| Bailey | 22 | 22 | 8 |
| Medina | 21 | 21 | 7 |
| Fort Bend | 21 | 21 | 7 |
| Cottle | 20 | 20 | 7 |
| Bell | 20 | 20 | 7 |
| Collingsworth | 19 | 19 | 7 |
| Hartley | 19 | 19 | 7 |
| Baylor | 18 | 18 | 6 |
| Hardeman | 18 | 18 | 6 |
| Wilson | 18 | 18 | 6 |
| Andrews | 17 | 17 | 6 |
| Guadalupe | 17 | 17 | 6 |
| Comal | 16 | 16 | 6 |
| McLennan | 16 | 16 | 6 |
| Zavala | 16 | 16 | 6 |
| Lynn | 15 | 15 | 5 |
| Deaf Smith | 15 | 15 | 5 |
| Robertson | 15 | 15 | 5 |
| Jefferson | 15 | 15 | 5 |
| Montgomery | 14 | 14 | 5 |
| Fannin | 14 | 14 | 5 |
| Leon | 14 | 14 | 5 |
| Falls | 14 | 14 | 5 |
| Erath | 13 | 13 | 5 |
| Lampasas | 13 | 13 | 5 |
| Carson | 13 | 13 | 5 |
| Refugio | 13 | 13 | 5 |
| Nolan | 13 | 13 | 5 |
| Freestone | 12 | 12 | 4 |
| Kent | 12 | 12 | 4 |
| Tom Green | 12 | 12 | 4 |
| Maverick | 12 | 12 | 4 |
| Archer | 12 | 12 | 4 |
| Parmer | 11 | 11 | 4 |
| Sterling | 11 | 11 | 4 |
| Kenedy | 11 | 11 | 4 |
| Newton | 11 | 11 | 4 |
| Brown | 11 | 11 | 4 |
| Trinity | 11 | 11 | 4 |
| Parker | 11 | 11 | 4 |
| Kimble | 10 | 10 | 4 |
| McMullen | 10 | 10 | 4 |
| Sherman | 10 | 10 | 4 |
| Jasper | 10 | 10 | 4 |
| Kerr | 10 | 10 | 4 |
| Hunt | 10 | 10 | 4 |
| El Paso | 10 | 10 | 4 |
| Briscoe | 10 | 10 | 4 |
| Reeves | 9 | 9 | 3 |
| Hopkins | 9 | 9 | 3 |
| Wood | 9 | 9 | 3 |
| Midland | 9 | 9 | 3 |
| Martin | 9 | 9 | 3 |
| Bandera | 9 | 9 | 3 |
| Winkler | 9 | 9 | 3 |
| Galveston | 9 | 9 | 3 |
| Hood | 9 | 9 | 3 |
| Yoakum | 8 | 8 | 3 |
| Knox | 8 | 8 | 3 |
| Starr | 8 | 8 | 3 |
| La Salle | 8 | 8 | 3 |
| Karnes | 8 | 8 | 3 |
| Ochiltree | 8 | 8 | 3 |
| Nueces | 8 | 8 | 3 |
| Harris | 8 | 8 | 3 |
| Anderson | 8 | 8 | 3 |
| McCulloch | 8 | 8 | 3 |
| Houston | 8 | 8 | 3 |
| Brooks | 8 | 8 | 3 |
| Lavaca | 8 | 8 | 3 |
| Wichita | 7 | 7 | 2 |
| Coryell | 7 | 7 | 2 |
| Henderson | 7 | 7 | 2 |
| Orange | 7 | 7 | 2 |
| Dickens | 7 | 7 | 2 |
| Edwards | 7 | 7 | 2 |
| Madison | 7 | 7 | 2 |
| Titus | 7 | 7 | 2 |
| Shackelford | 7 | 7 | 2 |
| Frio | 7 | 7 | 2 |
| Collin | 7 | 7 | 2 |
| Hockley | 7 | 7 | 2 |
| Nacogdoches | 7 | 7 | 2 |
| Clay | 7 | 7 | 2 |
| Burnet | 7 | 7 | 2 |
| Polk | 7 | 7 | 2 |
| Jim Hogg | 6 | 6 | 2 |
| Hall | 6 | 6 | 2 |
| Willacy | 6 | 6 | 2 |
| Travis | 6 | 6 | 2 |
| Cameron | 6 | 6 | 2 |
| Pecos | 6 | 6 | 2 |
| Dallas | 6 | 6 | 2 |
| Van Zandt | 6 | 6 | 2 |
| Rockwall | 6 | 6 | 2 |
| Hill | 6 | 6 | 2 |
| San Patricio | 6 | 6 | 2 |
| Floyd | 6 | 6 | 2 |
| Crane | 6 | 6 | 2 |
| Glasscock | 6 | 6 | 2 |
| Blanco | 6 | 6 | 2 |
| Washington | 6 | 6 | 2 |
| Kaufman | 6 | 6 | 2 |
| Franklin | 6 | 6 | 2 |
| Williamson | 6 | 6 | 2 |
| Dallam | 6 | 6 | 2 |
| Aransas | 6 | 6 | 2 |
| Cherokee | 6 | 6 | 2 |
| Fayette | 5 | 5 | 2 |
| Foard | 5 | 5 | 2 |
| Comanche | 5 | 5 | 2 |
| Sutton | 5 | 5 | 2 |
| Grimes | 5 | 5 | 2 |
| Mills | 5 | 5 | 2 |
| Moore | 5 | 5 | 2 |
| Crosby | 5 | 5 | 2 |
| Loving | 5 | 5 | 2 |
| Terry | 5 | 5 | 2 |
| Gonzales | 5 | 5 | 2 |
| Lipscomb | 5 | 5 | 2 |
| Morris | 5 | 5 | 2 |
| Matagorda | 5 | 5 | 2 |
| Cochran | 5 | 5 | 2 |
| Kinney | 5 | 5 | 2 |
| Zapata | 5 | 5 | 2 |
| Atascosa | 5 | 5 | 2 |
| Rains | 5 | 5 | 2 |
| Brazoria | 5 | 5 | 2 |
| Haskell | 5 | 5 | 2 |
| Ector | 5 | 5 | 2 |
| Bexar | 5 | 5 | 2 |
| Mitchell | 5 | 5 | 2 |
| Randall | 5 | 5 | 2 |
| Burleson | 5 | 5 | 2 |
| Coke | 5 | 5 | 2 |
| Stephens | 5 | 5 | 2 |
| Somervell | 5 | 5 | 2 |
| Dimmit | 5 | 5 | 2 |
| Ward | 5 | 5 | 2 |
| Scurry | 5 | 5 | 2 |
| Cooke | 4 | 4 | 1 |
| Borden | 4 | 4 | 1 |
| Colorado | 4 | 4 | 1 |
| Upton | 4 | 4 | 1 |
| Hutchinson | 4 | 4 | 1 |
| Camp | 4 | 4 | 1 |
| Llano | 4 | 4 | 1 |
| Gaines | 4 | 4 | 1 |
| Lamar | 4 | 4 | 1 |
| Gregg | 4 | 4 | 1 |
| Terrell | 4 | 4 | 1 |
| Jackson | 4 | 4 | 1 |
| Bowie | 4 | 4 | 1 |
| Duval | 4 | 4 | 1 |
| Swisher | 4 | 4 | 1 |
| Irion | 4 | 4 | 1 |
| Upshur | 4 | 4 | 1 |
| Armstrong | 4 | 4 | 1 |
| San Saba | 4 | 4 | 1 |
| Delta | 4 | 4 | 1 |
| Hidalgo | 4 | 4 | 1 |
| Concho | 4 | 4 | 1 |
| Wharton | 4 | 4 | 1 |
| Lubbock | 4 | 4 | 1 |
| Schleicher | 4 | 4 | 1 |
| Reagan | 4 | 4 | 1 |
| Milam | 4 | 4 | 1 |
| Kleberg | 4 | 4 | 1 |
| Goliad | 4 | 4 | 1 |
| Jack | 4 | 4 | 1 |
| Limestone | 4 | 4 | 1 |
| Wise | 4 | 4 | 1 |
| Johnson | 4 | 4 | 1 |
| Denton | 4 | 4 | 1 |
| Liberty | 4 | 4 | 1 |
| Potter | 4 | 4 | 1 |
| Roberts | 4 | 4 | 1 |
| King | 4 | 4 | 1 |
| Brewster | 4 | 4 | 1 |
| Angelina | 4 | 4 | 1 |
| Jones | 4 | 4 | 1 |
| Hays | 4 | 4 | 1 |
| Live Oak | 4 | 4 | 1 |
| Oldham | 4 | 4 | 1 |
| Smith | 4 | 4 | 1 |
| Bosque | 4 | 4 | 1 |
| Grayson | 4 | 4 | 1 |
| Culberson | 4 | 4 | 1 |
| Val Verde | 4 | 4 | 1 |
| Jeff Davis | 4 | 4 | 1 |
| Shelby | 3 | 3 | 1 |
| Howard | 3 | 3 | 1 |
| Hamilton | 3 | 3 | 1 |
| Runnels | 3 | 3 | 1 |
| Cass | 3 | 3 | 1 |
| Throckmorton | 3 | 3 | 1 |
| Donley | 3 | 3 | 1 |
| Walker | 3 | 3 | 1 |
| Menard | 3 | 3 | 1 |
| Gray | 3 | 3 | 1 |
| Presidio | 3 | 3 | 1 |
| Gillespie | 3 | 3 | 1 |
| Caldwell | 3 | 3 | 1 |
| Waller | 3 | 3 | 1 |
| Motley | 3 | 3 | 1 |
| Ellis | 3 | 3 | 1 |
| Sabine | 3 | 3 | 1 |
| Jim Wells | 3 | 3 | 1 |
| Kendall | 3 | 3 | 1 |
| Taylor | 3 | 3 | 1 |
| Chambers | 3 | 3 | 1 |
| Victoria | 3 | 3 | 1 |
| Coleman | 3 | 3 | 1 |
| Childress | 3 | 3 | 1 |
| Real | 3 | 3 | 1 |
| Callahan | 3 | 3 | 1 |
| Brazos | 3 | 3 | 1 |
| San Augustine | 3 | 3 | 1 |
| Garza | 3 | 3 | 1 |
| All districts (254) | 4,824 | 4,824 | 1,688 |
The Buy restaurants database includes 4,824+ verified Buy 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.
Buy currently operates 4,824+ restaurants in Texas, United States (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 Buy restaurants CSV for Texas, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Buy restaurants dataset includes: Buy 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 Buy location is cross-referenced across the Buy 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 Buy footprint in Texas, United States.
Yes. The Buy 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 Buy 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 Buy 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 Texas, United States is a 4,824+ 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.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:15 AM
Rows (Regular):
2,171
Rows (Extended):
4,824
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