Sample General Store Listings

Explore 10 random General Store listings from our dataset. Click on any contact icon for more details or to request your free sample.

Name City State Country Phone Email Website Ratings Reviews
Flying Tiger Copenhagen Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.3 482
Flying Tiger Copenhagen Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.3 1062
Flying Tiger Copenhagen Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.3 1220
Flying Tiger Copenhagen Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.2 457
Il Mondo Di Rita EMPORIO-BAZAR Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.8 44
Supermercato Dpiรน Lagaccioni Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4 463
SVOLTA | Q8 Spicchio-Sovigliana Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 5 1
Dpiรน Supermercato Castelfioren... Castelfiorentino Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.3 201
SVOLTA | Q8 Florence Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4.8 5
Supermercato Dpiรน Signa Metropolitan City of Florence Italy โ˜Ž โœ‰ ๐Ÿ”— 4 420
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Complete General Store Dataset Fields Overview

Business Name
Address
Website
Phone
Email (if available)
Rating Count
Review Count
Photo Count
Timezone
Latitude
Longitude
Categories
Price Range
Rating Distribution
Photos
Popular Times
Info
Highlight
Hours
Topics
Owner
URL
Date
Plus Code
Place ID

General Stores Data for Cities in Metropolitan City of Florence

Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.

City Listings Percentage
Florence 11 35.48%
Sesto Fiorentino 3 9.68%
Montelupo Fiorentino 2 6.45%
Dicomano 2 6.45%
Calenzano 2 6.45%
Signa 1 3.23%
Castelfiorentino 1 3.23%
Terrafino 1 3.23%
San Francesco 1 3.23%
Empoli 1 3.23%

What Data Do We Provide?

Our dataset for General stores in Metropolitan City of Florence is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 31 listings. This includes:

  • Essential business details (name, address, and operational hours)
  • Verified contact information (phone, email, and website)
  • Customer engagement metrics (ratings and reviews)
  • Precise geolocation data (latitude, longitude, and regional distribution)
  • Additional attributes like categories, pricing, and more

For example, our analysis shows that in one of the leading cities โ€“ Florence โ€“ there are over 11 listings, indicating a robust and competitive market.

How You Can Use This Data

Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:

Market Research & Competitive Analysis

Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.

Location Intelligence & Expansion

Plan openings or rollouts using density maps, ratings, and category insights to target low-competition, high-demand zones.

Mapping & Navigation

Add POI data to your apps for delivery, logistics, or travel using accurate coordinates and business information.

AI & NLP Model Training

Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.

Real Estate & Investment Insights

Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.

Local SEO & Digital Services

Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.

Lead Generation & Sales

Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.

Email Marketing

Run campaigns with verified emails of decision-makers for personalized outreach at scale.

Cold Calling

Use up-to-date phone numbers to initiate effective conversations and improve call conversions.

Direct Mail Campaigns

Send promotional materials or catalogs using accurate mailing addresses for targeted delivery.

Social Media Outreach

Engage businesses via Instagram, LinkedIn, or Facebook using curated profile data (optional).

Footfall & Demand Estimation

Estimate local foot traffic by analyzing the concentration and type of nearby businesses and their popularity.

Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.

Need More Details?

Unlock access to the complete dataset of General stores in Metropolitan City of Florence in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsโ€”empowering your business decisions.

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