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This dataset covers 5,953 verified records spread across 70+ districts in Florida. 5,953 records carry a verified phone number and 2,084 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Martin (1,232 listings), Sumter (616 listings), Indian River (411 listings), Jefferson (308 listings), Okaloosa (246 listings), Highlands (205 listings), St Lucie (176 listings), and Franklin (154 listings).
Additional coverage spans St Johns (137), Madison (123), Orange (112), Putnam (103), Flagler (95), Lake (88), Pinellas (82), Walton (77), Marion (72), Gadsden (68), Bradford (65), Gulf (62) , plus 50 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Martin | 1,232 | 1,232 | 431 |
| Sumter | 616 | 616 | 216 |
| Indian River | 411 | 411 | 144 |
| Jefferson | 308 | 308 | 108 |
| Okaloosa | 246 | 246 | 86 |
| Highlands | 205 | 205 | 72 |
| St Lucie | 176 | 176 | 62 |
| Franklin | 154 | 154 | 54 |
| St Johns | 137 | 137 | 48 |
| Madison | 123 | 123 | 43 |
| All districts (70) | 5,953 | 5,953 | 2,084 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Martin | 1,232 | 1,232 | 431 |
| Sumter | 616 | 616 | 216 |
| Indian River | 411 | 411 | 144 |
| Jefferson | 308 | 308 | 108 |
| Okaloosa | 246 | 246 | 86 |
| Highlands | 205 | 205 | 72 |
| St Lucie | 176 | 176 | 62 |
| Franklin | 154 | 154 | 54 |
| St Johns | 137 | 137 | 48 |
| Madison | 123 | 123 | 43 |
| Orange | 112 | 112 | 39 |
| Putnam | 103 | 103 | 36 |
| Flagler | 95 | 95 | 33 |
| Lake | 88 | 88 | 31 |
| Pinellas | 82 | 82 | 29 |
| Walton | 77 | 77 | 27 |
| Marion | 72 | 72 | 25 |
| Gadsden | 68 | 68 | 24 |
| Bradford | 65 | 65 | 23 |
| Gulf | 62 | 62 | 22 |
| Calhoun | 59 | 59 | 21 |
| Okeechobee | 56 | 56 | 20 |
| Santa Rosa | 54 | 54 | 19 |
| DeSoto | 51 | 51 | 18 |
| Brevard | 49 | 49 | 17 |
| Monroe | 47 | 47 | 16 |
| Miami Dade | 46 | 46 | 16 |
| Nassau | 44 | 44 | 15 |
| Duval | 42 | 42 | 15 |
| Hardee | 41 | 41 | 14 |
| Hamilton | 40 | 40 | 14 |
| Escambia | 38 | 38 | 13 |
| Columbia | 37 | 37 | 13 |
| Palm Beach | 36 | 36 | 13 |
| Bay | 35 | 35 | 12 |
| Hendry | 34 | 34 | 12 |
| St. Johns | 33 | 33 | 12 |
| Suwannee | 32 | 32 | 11 |
| Liberty | 32 | 32 | 11 |
| Holmes | 31 | 31 | 11 |
| St. Lucie | 30 | 30 | 11 |
| Pasco | 29 | 29 | 10 |
| Miami-Dade | 29 | 29 | 10 |
| Volusia | 28 | 28 | 10 |
| Broward | 27 | 27 | 9 |
| Citrus | 27 | 27 | 9 |
| Levy | 26 | 26 | 9 |
| Lafayette | 26 | 26 | 9 |
| Osceola | 25 | 25 | 9 |
| Seminole | 25 | 25 | 9 |
| Taylor | 24 | 24 | 8 |
| Baker | 24 | 24 | 8 |
| Washington | 23 | 23 | 8 |
| Sarasota | 23 | 23 | 8 |
| Hernando | 22 | 22 | 8 |
| Collier | 22 | 22 | 8 |
| Leon | 22 | 22 | 8 |
| Gilchrist | 21 | 21 | 7 |
| Alachua | 21 | 21 | 7 |
| Glades | 21 | 21 | 7 |
| Union | 20 | 20 | 7 |
| Manatee | 20 | 20 | 7 |
| Dixie | 20 | 20 | 7 |
| Hillsborough | 19 | 19 | 7 |
| Wakulla | 19 | 19 | 7 |
| Charlotte | 19 | 19 | 7 |
| Polk | 18 | 18 | 6 |
| Jackson | 18 | 18 | 6 |
| Clay | 18 | 18 | 6 |
| Lee | 18 | 18 | 6 |
| All districts (70) | 5,953 | 5,953 | 2,084 |
The Online Retail stores database includes 5,953+ verified Online Retail stores in Florida, 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.
Oliver (US) bought 2 days ago · Frankie (US) bought 2 days ago · Joseph (US) bought 2 days ago · Abhinav (US) bought 3 days ago · Ed (AU) bought 3 days ago
Counting only operational sites, the Online Retail footprint in Florida, United States sits at about 5,953+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Online Retail stores CSV covering all of Florida, United States within seconds. Every row is human-checked.
The CSV ships with one row per Online Retail location, columns covering Online Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
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 Florida, 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.
This World Wide Data list covers 5,953+ verified records operating in Florida, 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.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 03:30 AM
Rows (Regular):
2,977
Rows (Extended):
5,953
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
