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This dataset covers 8,366 verified records spread across 254+ districts in Texas. 8,366 records carry a verified phone number and 2,928 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Randall (1,368 listings), Titus (684 listings), Haskell (456 listings), Hardeman (342 listings), Waller (274 listings), McLennan (228 listings), Donley (195 listings), and Cochran (171 listings).
Additional coverage spans Menard (152), Gillespie (137), Walker (124), San Patricio (114), Lynn (105), Taylor (98), Crane (91), Floyd (85), Jim Wells (80), Pecos (76), Motley (72), Childress (68) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Randall | 1,368 | 1,368 | 479 |
| Titus | 684 | 684 | 239 |
| Haskell | 456 | 456 | 160 |
| Hardeman | 342 | 342 | 120 |
| Waller | 274 | 274 | 96 |
| McLennan | 228 | 228 | 80 |
| Donley | 195 | 195 | 68 |
| Cochran | 171 | 171 | 60 |
| Menard | 152 | 152 | 53 |
| Gillespie | 137 | 137 | 48 |
| All districts (254) | 8,366 | 8,366 | 2,928 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Randall | 1,368 | 1,368 | 479 |
| Titus | 684 | 684 | 239 |
| Haskell | 456 | 456 | 160 |
| Hardeman | 342 | 342 | 120 |
| Waller | 274 | 274 | 96 |
| McLennan | 228 | 228 | 80 |
| Donley | 195 | 195 | 68 |
| Cochran | 171 | 171 | 60 |
| Menard | 152 | 152 | 53 |
| Gillespie | 137 | 137 | 48 |
| Walker | 124 | 124 | 43 |
| San Patricio | 114 | 114 | 40 |
| Lynn | 105 | 105 | 37 |
| Taylor | 98 | 98 | 34 |
| Crane | 91 | 91 | 32 |
| Floyd | 85 | 85 | 30 |
| Jim Wells | 80 | 80 | 28 |
| Pecos | 76 | 76 | 27 |
| Motley | 72 | 72 | 25 |
| Childress | 68 | 68 | 24 |
| Sabine | 65 | 65 | 23 |
| Aransas | 62 | 62 | 22 |
| Fayette | 59 | 59 | 21 |
| Brazos | 57 | 57 | 20 |
| Kaufman | 55 | 55 | 19 |
| Lampasas | 53 | 53 | 19 |
| Leon | 51 | 51 | 18 |
| Goliad | 49 | 49 | 17 |
| Hidalgo | 47 | 47 | 16 |
| Lamb | 46 | 46 | 16 |
| Reagan | 44 | 44 | 15 |
| Webb | 43 | 43 | 15 |
| Hudspeth | 41 | 41 | 14 |
| Eastland | 40 | 40 | 14 |
| Crockett | 39 | 39 | 14 |
| Limestone | 38 | 38 | 13 |
| Rusk | 37 | 37 | 13 |
| Harrison | 36 | 36 | 13 |
| Swisher | 35 | 35 | 12 |
| Hale | 34 | 34 | 12 |
| Schleicher | 33 | 33 | 12 |
| Brown | 33 | 33 | 12 |
| Denton | 32 | 32 | 11 |
| Terrell | 31 | 31 | 11 |
| Potter | 30 | 30 | 11 |
| Jackson | 30 | 30 | 11 |
| Starr | 29 | 29 | 10 |
| Jeff Davis | 28 | 28 | 10 |
| Montague | 28 | 28 | 10 |
| Lee | 27 | 27 | 9 |
| Bosque | 27 | 27 | 9 |
| Hansford | 26 | 26 | 9 |
| Oldham | 26 | 26 | 9 |
| Hemphill | 25 | 25 | 9 |
| Bell | 25 | 25 | 9 |
| Culberson | 24 | 24 | 8 |
| Bee | 24 | 24 | 8 |
| Howard | 24 | 24 | 8 |
| Shelby | 23 | 23 | 8 |
| Val Verde | 23 | 23 | 8 |
| Anderson | 22 | 22 | 8 |
| Scurry | 22 | 22 | 8 |
| Dimmit | 22 | 22 | 8 |
| Somervell | 21 | 21 | 7 |
| Comal | 21 | 21 | 7 |
| Hutchinson | 21 | 21 | 7 |
| Gaines | 20 | 20 | 7 |
| Frio | 20 | 20 | 7 |
| Grayson | 20 | 20 | 7 |
| Borden | 20 | 20 | 7 |
| Erath | 19 | 19 | 7 |
| Hall | 19 | 19 | 7 |
| Polk | 19 | 19 | 7 |
| Nolan | 18 | 18 | 6 |
| Jim Hogg | 18 | 18 | 6 |
| Falls | 18 | 18 | 6 |
| Johnson | 18 | 18 | 6 |
| Liberty | 18 | 18 | 6 |
| Roberts | 17 | 17 | 6 |
| Clay | 17 | 17 | 6 |
| Kleberg | 17 | 17 | 6 |
| Rockwall | 17 | 17 | 6 |
| Concho | 16 | 16 | 6 |
| Armstrong | 16 | 16 | 6 |
| Wharton | 16 | 16 | 6 |
| Lubbock | 16 | 16 | 6 |
| Hill | 16 | 16 | 6 |
| Upshur | 16 | 16 | 6 |
| Glasscock | 15 | 15 | 5 |
| Maverick | 15 | 15 | 5 |
| Sterling | 15 | 15 | 5 |
| Kent | 15 | 15 | 5 |
| Blanco | 15 | 15 | 5 |
| Dallam | 15 | 15 | 5 |
| Kendall | 14 | 14 | 5 |
| Crosby | 14 | 14 | 5 |
| Washington | 14 | 14 | 5 |
| Morris | 14 | 14 | 5 |
| Hunt | 14 | 14 | 5 |
| McMullen | 14 | 14 | 5 |
| Coleman | 14 | 14 | 5 |
| Loving | 13 | 13 | 5 |
| Williamson | 13 | 13 | 5 |
| Kerr | 13 | 13 | 5 |
| Young | 13 | 13 | 5 |
| Sutton | 13 | 13 | 5 |
| Grimes | 13 | 13 | 5 |
| Kinney | 13 | 13 | 5 |
| Matagorda | 13 | 13 | 5 |
| Zapata | 12 | 12 | 4 |
| Wood | 12 | 12 | 4 |
| Knox | 12 | 12 | 4 |
| Collingsworth | 12 | 12 | 4 |
| Runnels | 12 | 12 | 4 |
| Tyler | 12 | 12 | 4 |
| Mason | 12 | 12 | 4 |
| Hood | 12 | 12 | 4 |
| La Salle | 12 | 12 | 4 |
| McCulloch | 11 | 11 | 4 |
| Orange | 11 | 11 | 4 |
| Stephens | 11 | 11 | 4 |
| Ward | 11 | 11 | 4 |
| Hartley | 11 | 11 | 4 |
| Harris | 11 | 11 | 4 |
| Henderson | 11 | 11 | 4 |
| Lavaca | 11 | 11 | 4 |
| Brooks | 11 | 11 | 4 |
| Colorado | 11 | 11 | 4 |
| Camp | 11 | 11 | 4 |
| Bastrop | 11 | 11 | 4 |
| Calhoun | 10 | 10 | 4 |
| Throckmorton | 10 | 10 | 4 |
| Garza | 10 | 10 | 4 |
| Travis | 10 | 10 | 4 |
| Tarrant | 10 | 10 | 4 |
| Collin | 10 | 10 | 4 |
| Navarro | 10 | 10 | 4 |
| Burnet | 10 | 10 | 4 |
| San Augustine | 10 | 10 | 4 |
| Wheeler | 10 | 10 | 4 |
| Van Zandt | 10 | 10 | 4 |
| San Saba | 10 | 10 | 4 |
| Dallas | 10 | 10 | 4 |
| Ellis | 9 | 9 | 3 |
| Newton | 9 | 9 | 3 |
| Kenedy | 9 | 9 | 3 |
| Franklin | 9 | 9 | 3 |
| Freestone | 9 | 9 | 3 |
| Tom Green | 9 | 9 | 3 |
| Refugio | 9 | 9 | 3 |
| Parker | 9 | 9 | 3 |
| Jones | 9 | 9 | 3 |
| Cherokee | 9 | 9 | 3 |
| Parmer | 9 | 9 | 3 |
| Archer | 9 | 9 | 3 |
| Milam | 9 | 9 | 3 |
| Jasper | 9 | 9 | 3 |
| Comanche | 9 | 9 | 3 |
| Gonzales | 9 | 9 | 3 |
| Lipscomb | 9 | 9 | 3 |
| Kimble | 8 | 8 | 3 |
| Martin | 8 | 8 | 3 |
| Reeves | 8 | 8 | 3 |
| Atascosa | 8 | 8 | 3 |
| Brazoria | 8 | 8 | 3 |
| Galveston | 8 | 8 | 3 |
| Smith | 8 | 8 | 3 |
| San Jacinto | 8 | 8 | 3 |
| Nueces | 8 | 8 | 3 |
| Andrews | 8 | 8 | 3 |
| Karnes | 8 | 8 | 3 |
| Coke | 8 | 8 | 3 |
| Mitchell | 8 | 8 | 3 |
| Burleson | 8 | 8 | 3 |
| Yoakum | 8 | 8 | 3 |
| Ochiltree | 8 | 8 | 3 |
| Upton | 8 | 8 | 3 |
| Wilson | 8 | 8 | 3 |
| Llano | 8 | 8 | 3 |
| Cooke | 8 | 8 | 3 |
| Winkler | 8 | 8 | 3 |
| Baylor | 8 | 8 | 3 |
| Cass | 7 | 7 | 2 |
| Guadalupe | 7 | 7 | 2 |
| Presidio | 7 | 7 | 2 |
| Nacogdoches | 7 | 7 | 2 |
| Bandera | 7 | 7 | 2 |
| Briscoe | 7 | 7 | 2 |
| Caldwell | 7 | 7 | 2 |
| Gray | 7 | 7 | 2 |
| Hopkins | 7 | 7 | 2 |
| Midland | 7 | 7 | 2 |
| Sherman | 7 | 7 | 2 |
| Delta | 7 | 7 | 2 |
| Fannin | 7 | 7 | 2 |
| El Paso | 7 | 7 | 2 |
| Zavala | 7 | 7 | 2 |
| Chambers | 7 | 7 | 2 |
| Robertson | 7 | 7 | 2 |
| Shackelford | 7 | 7 | 2 |
| Jefferson | 7 | 7 | 2 |
| Victoria | 7 | 7 | 2 |
| Callahan | 7 | 7 | 2 |
| Duval | 7 | 7 | 2 |
| Bowie | 7 | 7 | 2 |
| Trinity | 7 | 7 | 2 |
| Irion | 7 | 7 | 2 |
| Carson | 7 | 7 | 2 |
| Deaf Smith | 7 | 7 | 2 |
| Lamar | 7 | 7 | 2 |
| Hamilton | 7 | 7 | 2 |
| Gregg | 6 | 6 | 2 |
| Real | 6 | 6 | 2 |
| Montgomery | 6 | 6 | 2 |
| Moore | 6 | 6 | 2 |
| DeWitt | 6 | 6 | 2 |
| Wise | 6 | 6 | 2 |
| Terry | 6 | 6 | 2 |
| Wilbarger | 6 | 6 | 2 |
| Jack | 6 | 6 | 2 |
| Cameron | 6 | 6 | 2 |
| Mills | 6 | 6 | 2 |
| Austin | 6 | 6 | 2 |
| King | 6 | 6 | 2 |
| Foard | 6 | 6 | 2 |
| Hays | 6 | 6 | 2 |
| Panola | 6 | 6 | 2 |
| Willacy | 6 | 6 | 2 |
| Hockley | 6 | 6 | 2 |
| Brewster | 6 | 6 | 2 |
| Castro | 6 | 6 | 2 |
| Angelina | 6 | 6 | 2 |
| Marion | 6 | 6 | 2 |
| Dickens | 6 | 6 | 2 |
| Dawson | 6 | 6 | 2 |
| Stonewall | 6 | 6 | 2 |
| Madison | 6 | 6 | 2 |
| Edwards | 6 | 6 | 2 |
| Palo Pinto | 6 | 6 | 2 |
| Red River | 6 | 6 | 2 |
| Live Oak | 6 | 6 | 2 |
| Rains | 6 | 6 | 2 |
| Ector | 6 | 6 | 2 |
| Bexar | 6 | 6 | 2 |
| Cottle | 6 | 6 | 2 |
| Medina | 6 | 6 | 2 |
| Bailey | 6 | 6 | 2 |
| Coryell | 6 | 6 | 2 |
| Houston | 6 | 6 | 2 |
| Uvalde | 5 | 5 | 2 |
| Fisher | 5 | 5 | 2 |
| Fort Bend | 5 | 5 | 2 |
| Hardin | 5 | 5 | 2 |
| Wichita | 5 | 5 | 2 |
| All districts (254) | 8,366 | 8,366 | 2,928 |
The Online Retail stores database includes 8,366+ verified Online Retail stores 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.
Gerry (US) bought 14 hours ago · Judah (US) bought 3 days ago · Liam (US) bought 1 week ago · Dennis (US) bought 1 week ago
There are roughly 8,366+ Online Retail stores in Texas, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Online Retail stores list for Texas, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Online Retail 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.
We verify each Online Retail entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Texas, United States footprint, not last year's.
Yes. The Online Retail stores 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 Online Retail 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 Online Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Texas, United States consolidates 8,366+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
4,183
Rows (Extended):
8,366
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
