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This dataset covers 446 verified records spread across 254+ districts in Texas. 446 records carry a verified phone number and 156 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Potter (73 listings), Clay (36 listings), Denton (24 listings), Culberson (22 listings), Brazoria (18 listings), Burleson (15 listings), Coleman (12 listings), and Montgomery (10 listings).
Additional coverage spans Hall (9), Deaf Smith (8), Mitchell (7), Polk (7), Kendall (6), Hill (6), Ector (5), Bexar (5), Atascosa (5), Goliad (4), Rains (4), Guadalupe (4) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Potter | 73 | 73 | 26 |
| Clay | 36 | 36 | 13 |
| Denton | 24 | 24 | 8 |
| Culberson | 22 | 22 | 8 |
| Brazoria | 18 | 18 | 6 |
| Burleson | 15 | 15 | 5 |
| Coleman | 12 | 12 | 4 |
| Montgomery | 10 | 10 | 4 |
| Hall | 9 | 9 | 3 |
| Deaf Smith | 8 | 8 | 3 |
| All districts (254) | 446 | 446 | 156 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Potter | 73 | 73 | 26 |
| Clay | 36 | 36 | 13 |
| Denton | 24 | 24 | 8 |
| Culberson | 22 | 22 | 8 |
| Brazoria | 18 | 18 | 6 |
| Burleson | 15 | 15 | 5 |
| Coleman | 12 | 12 | 4 |
| Montgomery | 10 | 10 | 4 |
| Hall | 9 | 9 | 3 |
| Deaf Smith | 8 | 8 | 3 |
| Mitchell | 7 | 7 | 2 |
| Polk | 7 | 7 | 2 |
| Kendall | 6 | 6 | 2 |
| Hill | 6 | 6 | 2 |
| Ector | 5 | 5 | 2 |
| Bexar | 5 | 5 | 2 |
| Atascosa | 5 | 5 | 2 |
| Goliad | 4 | 4 | 1 |
| Rains | 4 | 4 | 1 |
| Guadalupe | 4 | 4 | 1 |
| Reagan | 4 | 4 | 1 |
| Jefferson | 3 | 3 | 1 |
| Foard | 3 | 3 | 1 |
| Comanche | 3 | 3 | 1 |
| Robertson | 3 | 3 | 1 |
| Runnels | 3 | 3 | 1 |
| Lipscomb | 3 | 3 | 1 |
| Gonzales | 3 | 3 | 1 |
| Howard | 3 | 3 | 1 |
| Shelby | 3 | 3 | 1 |
| Oldham | 2 | 2 | 1 |
| Terry | 2 | 2 | 1 |
| Moore | 2 | 2 | 1 |
| Franklin | 2 | 2 | 1 |
| Frio | 2 | 2 | 1 |
| Bosque | 2 | 2 | 1 |
| Mills | 2 | 2 | 1 |
| Cherokee | 2 | 2 | 1 |
| Menard | 2 | 2 | 1 |
| San Saba | 2 | 2 | 1 |
| Wood | 2 | 2 | 1 |
| Walker | 2 | 2 | 1 |
| Irion | 2 | 2 | 1 |
| Donley | 2 | 2 | 1 |
| Duval | 2 | 2 | 1 |
| Bowie | 2 | 2 | 1 |
| Grayson | 2 | 2 | 1 |
| Waller | 2 | 2 | 1 |
| Wilbarger | 2 | 2 | 1 |
| Lamar | 1 | 1 | 0 |
| Gregg | 1 | 1 | 0 |
| Palo Pinto | 1 | 1 | 0 |
| Hood | 1 | 1 | 0 |
| Delta | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Lubbock | 1 | 1 | 0 |
| Kent | 1 | 1 | 0 |
| Colorado | 1 | 1 | 0 |
| Wharton | 1 | 1 | 0 |
| Stonewall | 1 | 1 | 0 |
| Red River | 1 | 1 | 0 |
| Kleberg | 1 | 1 | 0 |
| Brazos | 1 | 1 | 0 |
| Roberts | 1 | 1 | 0 |
| Stephens | 1 | 1 | 0 |
| Sabine | 1 | 1 | 0 |
| Liberty | 1 | 1 | 0 |
| Llano | 1 | 1 | 0 |
| Upton | 1 | 1 | 0 |
| Johnson | 1 | 1 | 0 |
| Fort Bend | 1 | 1 | 0 |
| Motley | 1 | 1 | 0 |
| Hunt | 1 | 1 | 0 |
| Kerr | 1 | 1 | 0 |
| Cooke | 1 | 1 | 0 |
| Taylor | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Henderson | 1 | 1 | 0 |
| Terrell | 1 | 1 | 0 |
| Grimes | 1 | 1 | 0 |
| Sutton | 1 | 1 | 0 |
| Smith | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Morris | 1 | 1 | 0 |
| Loving | 1 | 1 | 0 |
| Swisher | 1 | 1 | 0 |
| Crosby | 1 | 1 | 0 |
| Lynn | 1 | 1 | 0 |
| McCulloch | 1 | 1 | 0 |
| Live Oak | 1 | 1 | 0 |
| Dallam | 1 | 1 | 0 |
| Leon | 1 | 1 | 0 |
| Blanco | 1 | 1 | 0 |
| Hidalgo | 1 | 1 | 0 |
| San Patricio | 1 | 1 | 0 |
| Milam | 1 | 1 | 0 |
| Angelina | 1 | 1 | 0 |
| Brewster | 1 | 1 | 0 |
| Jones | 1 | 1 | 0 |
| Zapata | 1 | 1 | 0 |
| Kinney | 1 | 1 | 0 |
| Van Zandt | 1 | 1 | 0 |
| San Augustine | 1 | 1 | 0 |
| Cochran | 1 | 1 | 0 |
| Borden | 1 | 1 | 0 |
| Callahan | 1 | 1 | 0 |
| Gaines | 1 | 1 | 0 |
| Freestone | 1 | 1 | 0 |
| Ellis | 1 | 1 | 0 |
| Tom Green | 1 | 1 | 0 |
| Haskell | 1 | 1 | 0 |
| Garza | 1 | 1 | 0 |
| Scurry | 1 | 1 | 0 |
| Victoria | 1 | 1 | 0 |
| Dimmit | 1 | 1 | 0 |
| Randall | 1 | 1 | 0 |
| Bell | 1 | 1 | 0 |
| Chambers | 1 | 1 | 0 |
| Webb | 1 | 1 | 0 |
| Upshur | 1 | 1 | 0 |
| Presidio | 1 | 1 | 0 |
| Rusk | 1 | 1 | 0 |
| Kaufman | 1 | 1 | 0 |
| Concho | 1 | 1 | 0 |
| Caldwell | 1 | 1 | 0 |
| Fayette | 1 | 1 | 0 |
| Lamb | 1 | 1 | 0 |
| Aransas | 1 | 1 | 0 |
| Ochiltree | 1 | 1 | 0 |
| Galveston | 1 | 1 | 0 |
| Hale | 1 | 1 | 0 |
| Kimble | 1 | 1 | 0 |
| Hemphill | 1 | 1 | 0 |
| Collingsworth | 1 | 1 | 0 |
| Hockley | 1 | 1 | 0 |
| Somervell | 1 | 1 | 0 |
| Willacy | 1 | 1 | 0 |
| Tyler | 1 | 1 | 0 |
| Jasper | 1 | 1 | 0 |
| Mason | 1 | 1 | 0 |
| Hansford | 1 | 1 | 0 |
| Parmer | 1 | 1 | 0 |
| Archer | 1 | 1 | 0 |
| Montague | 1 | 1 | 0 |
| San Jacinto | 1 | 1 | 0 |
| Real | 1 | 1 | 0 |
| Cameron | 1 | 1 | 0 |
| Parker | 1 | 1 | 0 |
| Newton | 1 | 1 | 0 |
| Kenedy | 1 | 1 | 0 |
| Wichita | 1 | 1 | 0 |
| Cass | 1 | 1 | 0 |
| Yoakum | 1 | 1 | 0 |
| Houston | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Nueces | 1 | 1 | 0 |
| Karnes | 1 | 1 | 0 |
| Coryell | 1 | 1 | 0 |
| Young | 1 | 1 | 0 |
| Gray | 1 | 1 | 0 |
| Reeves | 1 | 1 | 0 |
| Crockett | 1 | 1 | 0 |
| Martin | 1 | 1 | 0 |
| Edwards | 1 | 1 | 0 |
| Armstrong | 1 | 1 | 0 |
| Eastland | 1 | 1 | 0 |
| Hudspeth | 1 | 1 | 0 |
| Hutchinson | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Dickens | 1 | 1 | 0 |
| Midland | 1 | 1 | 0 |
| Hopkins | 1 | 1 | 0 |
| Briscoe | 1 | 1 | 0 |
| Bandera | 1 | 1 | 0 |
| Glasscock | 1 | 1 | 0 |
| Lampasas | 1 | 1 | 0 |
| Lavaca | 1 | 1 | 0 |
| Brooks | 1 | 1 | 0 |
| Nolan | 1 | 1 | 0 |
| Erath | 1 | 1 | 0 |
| Winkler | 1 | 1 | 0 |
| Harris | 1 | 1 | 0 |
| Orange | 1 | 1 | 0 |
| Falls | 1 | 1 | 0 |
| Williamson | 1 | 1 | 0 |
| Dallas | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Wise | 1 | 1 | 0 |
| Trinity | 1 | 1 | 0 |
| Jack | 1 | 1 | 0 |
| McLennan | 1 | 1 | 0 |
| Matagorda | 1 | 1 | 0 |
| Burnet | 1 | 1 | 0 |
| Collin | 1 | 1 | 0 |
| El Paso | 1 | 1 | 0 |
| Hays | 1 | 1 | 0 |
| Travis | 1 | 1 | 0 |
| Hardeman | 1 | 1 | 0 |
| Comal | 1 | 1 | 0 |
| King | 1 | 1 | 0 |
| Sherman | 1 | 1 | 0 |
| Castro | 1 | 1 | 0 |
| Panola | 1 | 1 | 0 |
| La Salle | 1 | 1 | 0 |
| Austin | 1 | 1 | 0 |
| Gillespie | 1 | 1 | 0 |
| Starr | 1 | 1 | 0 |
| Refugio | 1 | 1 | 0 |
| Throckmorton | 1 | 1 | 0 |
| DeWitt | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Childress | 1 | 1 | 0 |
| McMullen | 1 | 1 | 0 |
| Uvalde | 1 | 1 | 0 |
| Fisher | 1 | 1 | 0 |
| Ward | 1 | 1 | 0 |
| Andrews | 1 | 1 | 0 |
| Jim Wells | 1 | 1 | 0 |
| Cottle | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Bailey | 1 | 1 | 0 |
| Maverick | 1 | 1 | 0 |
| Camp | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Sterling | 1 | 1 | 0 |
| Dawson | 1 | 1 | 0 |
| Calhoun | 1 | 1 | 0 |
| Bee | 1 | 1 | 0 |
| Bastrop | 1 | 1 | 0 |
| Limestone | 1 | 1 | 0 |
| Rockwall | 1 | 1 | 0 |
| Shackelford | 1 | 1 | 0 |
| Jeff Davis | 1 | 1 | 0 |
| Baylor | 1 | 1 | 0 |
| Lee | 1 | 1 | 0 |
| Crane | 1 | 1 | 0 |
| Floyd | 1 | 1 | 0 |
| Hartley | 1 | 1 | 0 |
| Coke | 1 | 1 | 0 |
| Wilson | 1 | 1 | 0 |
| Jim Hogg | 1 | 1 | 0 |
| Pecos | 1 | 1 | 0 |
| Schleicher | 1 | 1 | 0 |
| Carson | 1 | 1 | 0 |
| Wheeler | 1 | 1 | 0 |
| Nacogdoches | 1 | 1 | 0 |
| Titus | 1 | 1 | 0 |
| Zavala | 1 | 1 | 0 |
| Navarro | 1 | 1 | 0 |
| Anderson | 1 | 1 | 0 |
| Tarrant | 1 | 1 | 0 |
| Fannin | 1 | 1 | 0 |
| Val Verde | 1 | 1 | 0 |
| All districts (254) | 446 | 446 | 156 |
The Buy Tea restaurants database includes 446+ verified Buy Tea 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 Tea currently operates 446+ 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 Tea restaurants CSV for Texas, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Buy Tea restaurants dataset includes: Buy Tea 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 Tea location is cross-referenced across the Buy Tea 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 Tea footprint in Texas, United States.
Yes. The Buy Tea 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 Tea 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 Tea 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 Texas, United States? This database aggregates 446+ 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 04:15 AM
Rows (Extended):
446
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
