Pricing

Rating

Developer

Actor stats

Categories

Share

🏠 Polish Real Estate Aggregator

🎯 Search Poland's top 5 real estate portals at once — deduplicated, unified, one click.

Automatically collect property listings from Otodom, Morizon, Gratka, OLX and Nieruchomości-online in a single run. The aggregator scrapes them in parallel, normalizes every field into one schema, and detects the same physical apartment advertised on multiple portals. You get a clean dataset where every listing has a clusterId grouping all its cross-portal copies.

🚀 What Does It Do?

This aggregator replaces five separate scrapers with one single input and one unified output. Set your search criteria once — city, price range, area, rooms — and it queries all five portals simultaneously, cleans the data, then deduplicates listings that appear on multiple platforms.

💡 Three things happen automatically under the hood:

1. 🌐 Parallel multi-portal search — All five portals scraped at once with the same filters
2. 🧬 Smart cross-portal matching — A multi-signal algorithm detects when the same property appears on different portals
3. 🏆 Canonical selection — From each cluster, the algorithm picks the listing with the most complete data as the canonical record

👥 Who Is This For?

✨ Features

• 🌐 5 Portals at Once — Otodom, Morizon, Gratka, OLX, and Nieruchomości-online in a single run
• 🧬 Smart Deduplication — Cross-portal matching detects the same property listed on multiple sites
• 🏆 Canonical Listings — Algorithm picks the richest record from each cluster as the reference
• 🔗 clusterId on Every Record — Group all copies of the same property with one field
• 📊 Multi-Source Visibility — See exactly which portals list each property and at what price
• 🏘️ All Property Types — Apartments, houses, plots, and commercial properties
• 💰 Sale & Rent — Both transaction types supported
• 🗺️ Any Polish City — Kraków, Warszawa, Wrocław, Poznań, Gdańsk, Łódź, Katowice, Szczecin, and more
• 🎛️ Smart Filters — Price, area, rooms — applied consistently across all five portals
• 📸 Full Photo URLs — Direct links to listing photos from every source
• 📍 GPS Coordinates — Latitude and longitude for every listing (where available)
• 👤 Seller Info — Agency names and phone numbers when provided by the source
• 🎚️ Tunable Confidence — Adjust the dedup threshold to trade off precision for coverage
• ⚡ Fast & Scalable — Full 5-portal run in under a minute
• 📤 Export Anywhere — Download results as JSON, CSV, Excel, or push to Google Sheets, Zapier, Make, or your CRM

🧬 How Cross-Portal Matching Works

Same apartment posted on three portals? The aggregator detects that. Under the hood it runs a confidence-scored matching pipeline that combines multiple listing characteristics — when the combined score crosses your configured threshold, the records are merged into a single cluster.

You can tune the threshold in the input:

• Higher threshold → stricter matching, fewer merges, near-zero false positives
• Lower threshold → broader matching, catches harder cases at the cost of occasional false merges
• Default 85 → calibrated sweet spot from internal benchmarks

🎛️ Filters & Options

📦 What You Get (Output Fields)

Every record in the output dataset represents one listing on one portal, annotated with its cluster.

Cluster & Source

Listing Basics

Location

Contact

Media & Description

Only on Canonical Records

📊 Example Output

{
"clusterId":"c00025",
"clusterSize":3,
"isCanonical":true,
"portal":"otodom",
"offerId":"ID4ANTy",
"url":"https://www.otodom.pl/pl/oferta/2-pokoje-jasna-kuchnia-45-8m2-piwnica-parking-ID4ANTy",
"title":"2 pokoje / jasna kuchnia / 45,8m² / piwnica / parking",
"price":698000,
"priceCurrency":"PLN",
"area":45.8,
"rooms":2,
"floor":4,
"totalFloors":6,
"buildYear":2012,
"marketType":"wtorny",
"city":"Kraków",
"district":"Prądnik Biały",
"street":"Legnicka",
"latitude":50.085012,
"longitude":19.923456,
"phone":"+48124326750",
"agency":"Nova Estate",
"sellerType":"agency",
"imageUrls":[
"https://ireland.apollo.olxcdn.com/v1/files/abc123/image;s=1080x720",
"https://ireland.apollo.olxcdn.com/v1/files/def456/image;s=1080x720"
],
"descriptionText":"Mieszkanie 2-pokojowe w doskonałej lokalizacji, po remoncie, z piwnicą i miejscem postojowym...",
"dateCreated":"2026-04-10T12:34:56+02:00",
"dateModified":"2026-04-22T09:12:00+02:00",
"portals":["otodom","morizon","gratka"],
"sources":[
{"portal":"otodom","url":"https://www.otodom.pl/pl/oferta/...-ID4ANTy","price":698000},
{"portal":"morizon","url":"https://www.morizon.pl/oferta/...-mzn2047091708","price":698000},
{"portal":"gratka","url":"https://gratka.pl/nieruchomosci/...-46482277","price":698000}
],
"scrapedAt":"2026-04-24T15:48:19.324Z"
}

📋 Dataset Views

The Apify Console gives you 2 ready-made table views to quickly browse your results:

❓ FAQ

🤔 Why use an aggregator instead of scraping each portal separately? Because the same apartment often appears on 2-3 portals, you'd get duplicate rows in your data. The aggregator detects those duplicates and groups them — you get accurate unique-listing counts and can compare prices across portals for the same property.

🤔 What happens if the deduplication is too aggressive? Adjust the scoreThreshold — 85 is the default sweet spot (zero false positives in our tests). Raise it to 90 for maximum precision, or drop it to 70 if you'd rather catch more matches at the cost of occasional false merges.

🤔 Does it handle the primary market (new developments)? Yes, but conservatively. When two listings at the same address have different prices, they're treated as different units in the same building (not merged). This prevents the "developer lists 200 identical apartments" edge case from merging into one cluster.

🤔 Why do some portals show fewer details than others? Each portal exposes different fields. OLX and Nieruchomości-online hide phone numbers behind a click, so those records have phone: null. The matching algorithm compensates with the other available signals.

🤔 Can I skip one of the portals? Yes — use the portals input parameter to select only the ones you want. Running with 3 portals instead of 5 is proportionally faster.

🤔 Can I export the data? Yes — JSON, CSV, Excel, XML, HTML, RSS. You can also push data directly to Google Sheets, Zapier, Make, or any webhook/API endpoint.

🤔 How often should I run this? For fresh data, run daily or weekly. You can schedule automatic runs on Apify with just a few clicks.

🤔 Does it work with proxies? Yes — residential proxies are recommended for the best results on Otodom (which uses anti-bot protection). The aggregator works with Apify's built-in proxy service.

🛠️ Need Custom Filters or Features?

I'm happy to customize this aggregator for your specific needs! 🤝

Whether you need:

• 🎯 Additional filters (commute time, specific districts, building year, features like balcony/parking)
• 📊 Extra data fields or custom output formats (e.g., price-per-square-meter summary, weekly delta reports)
• 🔄 Integration with your CRM, Google Sheets, or database
• ⏰ Scheduled scraping with automatic deduplication history across runs
• 🌐 Adding more portals (Adresowo.pl, Domiporta.pl, Sprzedajemy.pl, GetHome.pl) to the aggregation
• 🧬 Tuning the matching algorithm for a specific market segment (primary market, luxury, commercial)

👉 Don't hesitate to reach out via private message — I respond quickly and I'm always open to building exactly what you need. No request is too small or too specific!

⚖️ Legal & Ethical Use

This aggregator collects only publicly available listings from Otodom, Morizon, Gratka, OLX and Nieruchomości-online. It does not access private data, bypass authentication, or extract contact details that are not publicly displayed. Please use the data responsibly and in compliance with applicable laws and each portal's terms of service.