Sample Business Listings

Explore 10 random sample 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
Stellar Residence Budapest Hungary 🔗 3.7 31
Bliss Hotel Budapest Budapest Hungary 🔗 3.8 640
City Gardens Apartme... Budapest Hungary 🔗 3 99
Sárberki Horgásztó-... Lenti Hungary 🔗 4.6 501
Árnyas Thermal Campi... Püspökladány Hungary 🔗 4.1 75
Kabóka Horse Farm Enying-Kabókapuszta Hungary 🔗 4.7 315
Maple Tree Apartment... Budapest Hungary 🔗 4.1 709
Gábor Apatman Balatonlelle Hungary 🔗 4.3 9
Sekli Apartmanok Balatonlelle Hungary 🔗 4.4 31
Kiss Apartman Balatonboglár Hungary 🔗 4 6
BUY THIS DATA

Complete 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

Sample States & Cities

Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.

1 (0%)

Fejér

Fejér contributes about 0% of all listings.

State Listings

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

City Listings
Budapest 160 (24.77%)
Siófok 23 (3.56%)
Gyula 14 (2.17%)
Kecskemét 12 (1.86%)
Zalakaros 12 (1.86%)
Balatonlelle 12 (1.86%)
Hajdúszoboszló 11 (1.70%)
Szeged 11 (1.70%)
Pécs 10 (1.55%)
Debrecen 9 (1.39%)

What Data Do We Provide?

Our dataset for Apartment complexes in Hungary is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 646 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 regions – Fejér – there are over 1 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:

  • Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
  • Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
  • Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
  • Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.

Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.

Need More Details?

Unlock access to the complete dataset of Apartment complexes in Hungary in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.

BUY THIS DATA

Explore Related Reports