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Pizzeria Database of Florida Latest August 2026 Updated

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Pizzeria Database of Florida Latest August 2026 Updated 4.6 ★★★★★ ★★★★★ Verified buyers
Updated: Aug 03, 2026

🌐 Pizzeria Database of Florida Latest August 2026 Updated

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Rows (Regular)1,725
Rows (Extended)3,450
Sales2
Views19
CountryUnited States
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Coverage across Florida

This dataset covers 3,450 verified records spread across 70+ districts in Florida. 3,450 records carry a verified phone number and 1,208 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Bay (714 listings), Collier (357 listings), Osceola (238 listings), Indian River (178 listings), Hendry (143 listings), Holmes (119 listings), Suwannee (102 listings), and Union (89 listings).

Additional coverage spans Sarasota (79), Hernando (71), Broward (65), Volusia (59), Citrus (55), Taylor (51), Dixie (48), Liberty (45), Seminole (42), Jackson (40), Baker (38), Santa Rosa (36) , plus 50 more districts.

Coverage in Florida — by district

Total rows:3,450 With mobile:3,450 With website:1,208
Districts Total With mobile With website
Bay 714 714 250
Collier 357 357 125
Osceola 238 238 83
Indian River 178 178 62
Hendry 143 143 50
Holmes 119 119 42
Suwannee 102 102 36
Union 89 89 31
Sarasota 79 79 28
Hernando 71 71 25
All districts (70) 3,450 3,450 1,208

Coverage in Florida — all 70 districts

Districts Total With mobile With website
Bay 714 714 250
Collier 357 357 125
Osceola 238 238 83
Indian River 178 178 62
Hendry 143 143 50
Holmes 119 119 42
Suwannee 102 102 36
Union 89 89 31
Sarasota 79 79 28
Hernando 71 71 25
Broward 65 65 23
Volusia 59 59 21
Citrus 55 55 19
Taylor 51 51 18
Dixie 48 48 17
Liberty 45 45 16
Seminole 42 42 15
Jackson 40 40 14
Baker 38 38 13
Santa Rosa 36 36 13
Okeechobee 34 34 12
Gulf 32 32 11
Lake 31 31 11
Glades 30 30 11
Highlands 29 29 10
Jefferson 27 27 9
Wakulla 26 26 9
Palm Beach 25 25 9
Alachua 25 25 9
Manatee 24 24 8
Lee 23 23 8
Miami Dade 22 22 8
Pasco 22 22 8
Miami-Dade 21 21 7
Sumter 20 20 7
Okaloosa 20 20 7
Duval 19 19 7
Martin 19 19 7
Charlotte 18 18 6
Madison 18 18 6
Leon 17 17 6
Washington 17 17 6
Orange 17 17 6
St Lucie 16 16 6
St Johns 16 16 6
Franklin 16 16 6
Levy 15 15 5
Bradford 15 15 5
Gilchrist 15 15 5
DeSoto 14 14 5
Putnam 14 14 5
Hillsborough 14 14 5
Pinellas 13 13 5
Brevard 13 13 5
Lafayette 13 13 5
Marion 13 13 5
Walton 13 13 5
Calhoun 12 12 4
Nassau 12 12 4
Gadsden 12 12 4
Hamilton 12 12 4
Polk 12 12 4
Hardee 11 11 4
Columbia 11 11 4
Escambia 11 11 4
Clay 11 11 4
Flagler 11 11 4
St. Lucie 10 10 4
St. Johns 10 10 4
Monroe 10 10 4
All districts (70) 3,450 3,450 1,208

Pizzerias Database — United States

The Pizzerias database for Florida, United States includes 3,450+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Demand-gen experiments — A/B different positionings against the same pizzerias pool in Florida, United States.
  • Operating-model design — base scale-up cost models on real Florida, United States pizzerias headcount, not extrapolation.
  • Cross-sell modelling — surface pizzerias buyers in Florida, United States likely to need adjacent products.

Frequently asked about this dataset

How many businesses are in the Pizzerias database for Florida, United States?

The Pizzerias database for Florida, United States contains 3,450+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Pizzerias database for Florida, United States?

The complete Pizzerias database for Florida, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Pizzerias dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Pizzerias data for Florida, United States?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live pizzerias footprint in Florida, United States.

Is the Pizzerias dataset updated regularly?

Yes. The Pizzerias dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Pizzerias data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Pizzerias database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Pizzerias Database in Florida, United States

This World Wide Data list covers 3,450+ 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.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 03, 2026 08:52 AM

Published:

May 11, 2026 03:30 AM

Rows (Regular):

1,725

Rows (Extended):

3,450

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