4zida Scraper - Serbian Real Estate Listings

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Scrape property listings from 4zida.rs, Serbia's largest real estate portal. Extract detailed data from apartments, houses, land, offices, and garages — for sale or rent. No login or cookies needed.

What data can you extract?

For each listing the scraper returns:

How to scrape 4zida.rs data

1. Go to the 4zida Scraper page on Apify.
2. Click Start to open the actor configuration.
3. Enter a Search Location — any Serbian city name like Beograd, Novi Sad, Niš, or Kragujevac.
4. Choose a Listing Type — sale (Prodaja) or rent (Izdavanje).
5. Choose a Property Type — apartment, house, land, office, or garage.
6. Set Max Results to control how many listings you want.
7. Click Start and wait for the run to finish.
8. Download your data as JSON, CSV, Excel, or connect via API.

Example input

{
"searchQuery":"Beograd",
"listingType":"sale",
"propertyType":"apartment",
"maxResults":50
}

Example output

{
"listingTitle":"Jednosoban stan, Beograd na vodi",
"price":145000,
"currency":"EUR",
"area":30,
"rooms":1,
"floor":"5",
"location":"Beograd Na Vodi Savski Venac Beograd",
"propertyType":"apartment",
"transactionType":"sale",
"imageUrl":"https://img.4zida.rs/...",
"url":"https://www.4zida.rs/prodaja-stanova/beograd-na-vodi-savski-venac-beograd/jednosoban-stan/67474b0a72ae77784305c3e3",
"listingDescription":"Luksuzan jednosoban stan u kompleksu Beograd na vodi...",
"scrapedAt":"2026-06-09T12:00:00.000Z"
}

Supported cities

The scraper works with all cities and municipalities on 4zida.rs, including:

• Beograd (Belgrade) — capital, largest market
• Novi Sad — second largest city
• Niš — southern Serbia hub
• Kragujevac — central Serbia
• Subotica, Zrenjanin, Pančevo, Čačak, Novi Pazar, Kraljevo, Smederevo, Leskovac, Valjevo, Kruševac, Vranje, Šabac, Užice, Sombor, Požarevac, Pirot

You can also provide direct URLs to specific search result pages or individual listing pages via the Start URLs input.

Property types

Proxy configuration

Residential proxies are recommended for reliable scraping. The actor uses Apify residential proxies by default when running on the platform. If you experience blocks, try using Serbian IP addresses for the best results.

How much does it cost?

The actor uses Playwright with Chromium to render pages, which requires more compute than simple HTTP scrapers. Typical usage:

Costs depend on page complexity, number of retries, and proxy usage.

Use cases

• Real estate market research — track prices across Serbian cities
• Investment analysis — monitor property prices in Belgrade and Novi Sad
• Price comparison — compare listings across different platforms
• Academic research — analyze housing market trends in Serbia
• Relocation planning — search for rentals in specific neighbourhoods
• Portfolio monitoring — track changes in listed properties

Tips for best results

1. Start with a specific city rather than scraping all of Serbia — results are faster and more relevant.
2. Use Start URLs for advanced searches — apply filters on 4zida.rs, copy the URL, and paste it as a Start URL.
3. Set reasonable limits — start with 20-50 results to test, then scale up.
4. Residential proxies are included and recommended. Datacenter proxies may get blocked.

About 4zida.rs

4zida.rs is Serbia's leading real estate marketplace with over 34,000 active apartment listings and coverage across all major Serbian cities. The platform supports property sales, rentals, and new construction listings. The name "4 zida" means "4 walls" in Serbian.

Integrations

Connect 4zida Scraper with your existing tools:

• Google Sheets — export data directly to spreadsheets
• Slack / Email — get notifications when new listings match your criteria
• Zapier / Make — automate workflows with scraped data
• API — access results programmatically via the Apify API
• Webhooks — trigger actions when a run completes

Legal disclaimer

This actor is provided for informational and research purposes. Users are responsible for complying with applicable laws and the target website's terms of service when using this tool. Always use scraped data ethically and responsibly.