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DH.hu Property Scraper: Extract Real Estate Listings Instantly

What Is DH.hu?

DH.hu is Hungary's leading online real estate marketplace, hosting thousands of property listings across residential, commercial, and investment categories. The platform aggregates offerings from agents, developers, and private sellers nationwide. Manually extracting property data from search results is tedious and error-prone — the DH.hu Property Scraper automates the workflow, delivering clean, machine-readable records from listing pages in seconds.

Overview

The DH.hu Property Scraper extracts comprehensive property records from DH.hu search and listing pages, transforming raw web data into 45 structured fields. It is designed for:

• Real estate agents conducting market research and competitor analysis
• Property investors identifying trends and portfolio opportunities
• Data analysts building Hungarian real estate datasets
• Property aggregator platforms feeding data into custom search engines
• Appraisers and valuators gathering comparable sales data

Key strengths include bulk URL support, configurable item limits, and fault tolerance via ignore_url_failures — allowing uninterrupted collection even if some pages fail.

Input Format

The scraper accepts a JSON configuration object:

{
"urls":[
"https://dh.hu/property-for-sale/flat-house?page=2"
],
"ignore_url_failures":true,
"max_items_per_url":200
}

Tip: Use filtered URLs (e.g., by city, property type, price range) to collect targeted datasets. Example: https://dh.hu/property-for-sale/flat?city=budapest&price_from=50000000

Output Format

Sample output

{
"address":"2030 Érd Mátyás Király utca közelében",
"city_name":"Érd",
"district_name":null,
"contract_type_name":"Eladó",
"property_type_name":"Ház",
"reference_number":"HZ042590",
"hide_street":1,
"description":"Eladó Érd Tusculánum városrészében egy új építésű, összesen 175 négyzetméter belső hasznos alapterületű családi ház. A 2026-ban épülő ingatlan modern kialakítású, 4 szobával, nappalival és étkezővel rendelkezik, így ideális választás nagyobb családok számára.\r\nAz ingatlan Érd egyik csendes, aszfaltozott utcájában található, amely garantálja a nyugodt és zavartalan otthoni pihenést. A telek teljes közműhálózattal rendelkezik, ovaoda, iskola , tömegközlekedés gyalogosan is elérhető.\r\n\r\nA ház több szempontból is kiváló ajánlat: dupla garázsa biztosítja a kényelmes parkolást akár két autó számára. Az épülethez tartozó telek területe 1 062 négyzetméter, amely bőséges helyet biztosít kertrendezésre vagy akár további építésekhez is. Kulcsrakész ÁR: 169M\r\n",
"alternative_address":"Mátyás Király utca közelében",
"price":"169 000 000 Ft",
"combined_target_price":"169000000.00",
"combined_target_price_currency":3040100000005,
"combined_target_price_currency_text":"HUF",
"area":"175",
"alias":"/property/HZ042590/for-sale-house-pest-county-erd-matyas-kiraly-utca--kozeleben",
"can_add_to_fav":1,
"newly":0,
"rooms":5,
"bathrooms":0,
"cover_image":"https://cdn2.fs2.matrixhu.com/storage/production/fileID/6a292f666d2edc35d15c3f43/fileVersionKey/NhZmQ1NmE1Njc5YjIzZG/fileVersionID/propertyListCard/fileVersionForceKey/b8037fa241cc9d024c2a0d729eaa0dfd",
"lat":47.383094574614,
"lng":18.901739672123,
"is_exclusive":false,
"is_price_drop":false,
"contracts_id":19410000259939,
"is_new":true,
"combined_target_price_m2_in_huf":null,
"properties_is_osp":0,
"properties_property_type_id":4080100000002,
"agent_name":"Nyéki Zoltán",
"is_newly":false,
"is_sold":false,
"is_popular":false,
"is_coming_soon":false,
"enabled_otthon_start":false,
"images":[
"https://cdn2.fs2.matrixhu.com/storage/production/fileID/6a292f666d2edc35d15c3f43/fileVersionKey/NhZmQ1NmE1Njc5YjIzZG/fileVersionID/propertyListCard/fileVersionForceKey/b8037fa241cc9d024c2a0d729eaa0dfd",
"https://cdn6.fs2.matrixhu.com/storage/production/fileID/6a292f6f6d2edc35d15c3f44/fileVersionKey/g4ZWQyMzI3ZDVjMmE4Ym/fileVersionID/propertyListCard/fileVersionForceKey/280c94355c7499027afdc49d6377a504",
"https://cdn4.fs2.matrixhu.com/storage/production/fileID/6a292f746d2edc364970a9e3/fileVersionKey/E0OWRmNTMxNzI2YmE2MD/fileVersionID/propertyListCard/fileVersionForceKey/8b82e56557d55e34978526ac9d8ccd46",
"https://cdn9.fs2.matrixhu.com/storage/production/fileID/6a292f7a6d2edc34475f3733/fileVersionKey/IyMDIxYWFmNGNmMjZjOD/fileVersionID/propertyListCard/fileVersionForceKey/d64b9debd48dda7d6554b189ccae02a8",
"https://cdn4.fs2.matrixhu.com/storage/production/fileID/6a292f846d2edc323714dba5/fileVersionKey/NmMDQ4MDhlOTFmYTViMD/fileVersionID/propertyListCard/fileVersionForceKey/d856608694cfcfb4e7aaf404e22dc3c1"
],
"city_filter":"Érd",
"price_numeric":"169000000",
"price_original":"169 000 000",
"price_original_currency":"HUF",
"favorite":0,
"phase_id":null,
"min_price_orig":null,
"max_price_orig":null,
"number_of_properties":null,
"planned_end_date":null,
"properties_primary_market_phase_id":null,
"city_id":null,
"from_url":"https://dh.hu/property-for-sale/flat-house"
}

Each scraped property returns a rich record with 45+ fields organized by category:

Property Identification & Metadata

Property Classification

Physical Characteristics

Pricing & Financial Data

Geographic & Spatial Data

Listing Status & Flags

Media & Visual Content

Agent & Seller Information

Description & Content

Market & Project Data

User Interaction Flags

How to Use

1. Prepare URLs — Navigate DH.hu to your target search (e.g., flats for sale in Budapest). Copy the page URL.

2. Add filters (optional) — Use DH.hu's filters (price, rooms, area, district) to refine your dataset:

   https://dh.hu/property-for-sale/flat?city=budapest&rooms=2&price_from=50000000&price_to=150000000

3. Configure input — Paste URLs into the urls array and set max_items_per_url:

   {
   "urls":["https://dh.hu/property-for-sale/flat?city=budapest&page=1"],
   "max_items_per_url":200,
   "ignore_url_failures":true
   }

4. Run the scraper — Start execution and monitor progress in the run log.

5. Export results — Download as JSON, CSV, or Excel for analysis or database import.

Best practices:

• Use pagination URLs (?page=1, ?page=2) to collect multi-page datasets.
• Set ignore_url_failures: true for large runs to prevent interruptions.
• Filter by property type or price range to focus your dataset.

Common troubleshooting:

• If no properties appear, verify the URL is a search results page, not a single property detail page.
• Ensure the page has loaded fully before copying the URL.

Use Cases & Business Value

• Market analysis: Track price trends, inventory levels, and regional demand across Hungary
• Investment intelligence: Identify emerging neighborhoods and portfolio opportunities
• Competitor benchmarking: Monitor agent listings and pricing strategies
• Data aggregation: Feed DH.hu listings into custom property portals and search engines
• Valuation support: Gather comparable sales data for appraisals and market analysis
• Lead generation: Identify high-velocity listings and market-active agents

The DH.hu Property Scraper eliminates hours of manual data gathering, delivering structured records ready for Excel, Python, or database integration. Analysts, investors, and real estate professionals save time while gaining the data advantage.

Conclusion

The DH.hu Property Scraper is the efficient solution for anyone needing structured Hungarian real estate data. With 45+ output fields covering location, pricing, property details, and market status, it transforms DH.hu's listing pages into actionable insights. Whether you're researching investment opportunities, conducting market analysis, or building a property aggregator, this scraper delivers the data infrastructure to succeed.