Ingatlan Scraper

Scrape sale and rental listings from ingatlan.com, the Hungarian property portal. You get price, price per m2, address, rooms, size, photos and (with detail pages on) condition, heating, energy rating and agency. No login or cookies required.

How to scrape Ingatlan data

1. Go to the Ingatlan Scraper page on Apify Store.
2. Click "Try for free" to open the actor in Apify Console.
3. Set your search filters: listing type (buy or rent), location, property type, price range, size and room count.
4. Click "Start" and wait for the run to finish.
5. Download your data as JSON, CSV, Excel, or connect it to your pipeline via API.

No API key, no login, no cookies needed. The actor handles Cloudflare protection and pagination automatically.

Why use this actor?

ingatlan.com has no public API. This actor returns each listing as one structured row (prices as numbers, rooms and size as numbers, price per m2 filled in), so you can load the result straight into a spreadsheet, database or dashboard. You can search the whole country or a single city or district, for sale or for rent.

Input

Field	Type	Required	Description
listingType	String	No	elado (buy, default) or kiado (rent)
location	String	No	City or district in Hungarian (e.g. budapest, debrecen, szeged). Leave empty to search all of Hungary
propertyType	String	No	lakas (apartment), haz (house), telek (land), garázs, iroda, or uzlethelyiseg
minPrice	Integer	No	Minimum price in HUF. For rent (kiado) this is the monthly rent
maxPrice	Integer	No	Maximum price in HUF. For rent (kiado) this is the monthly rent
minSize	Integer	No	Minimum floor area in m2
maxSize	Integer	No	Maximum floor area in m2
minRooms	Number	No	Minimum number of rooms. Ingatlan.com counts a half-room toward the total, so a 3 + 1 half listing matches a minimum of 4
maxRooms	Number	No	Maximum number of rooms
maxResults	Integer	No	Maximum results to return (default: 100)
fetchDetails	Boolean	No	Off by default. Fetches each listing's own page to fill the eight detail-only fields marked below. Costs one extra page fetch per listing and adds roughly 15-30 seconds per listing
maxDetails	Integer	No	Cap on how many detail pages a run fetches when fetchDetails is on (default: 50). Listings past the cap are still returned, with the eight detail-only fields null
brightDataApiKey	String	No	Leave empty. Only needed if you want the run to go through your own Bright Data account
proxyConfiguration	Object	No	Kept for backwards compatibility and ignored. See Proxies below

Output

Each result contains the fields below. The eight marked detail are only published on a listing's own page, so they are null unless you turn on fetchDetails.

Field	Type	Example
listingId	String	"35625213"
listingTitle	String	"Budapest, XIII. kerület, Angyalföld"
price	Number	45900000
currency	String	"HUF"
pricePerSqm	Number	850000
listingType	String	"sale" or "rent"
propertyType	String	"lakas"
address	String	"Budapest, XIII. kerület, Angyalföld"
city	String	"Budapest"
district	String	"XIII. kerület". Filled for Budapest districts, null for other cities
rooms	Number	2
halfRooms	Number	1
surface	Number	54
landSurface	Number	detail: 998 (houses and land; null for apartments)
floor	String	detail: "9" (apartments; null for houses)
condition	String	detail: "felújított"
heating	String	detail: "gázkazán"
energyRating	String	detail: "A+". Ingatlan.com leaves this unset on roughly half of listings
balcony	Boolean	true
parking	String	detail: "teremgarázs hely - megvásárolható"
agencyName	String	detail: "Otthon 13 Kft.". The selling office, or the named agent or project sales team when there is no office
agencyUrl	String	detail: agency profile URL, e.g. "https://iroda.ingatlan.com/cseri"
imageUrl	String	Primary listing photo URL, null when the listing has no photo
imageUrls	Array	All listing photo URLs
description	String	detail: full listing description text
url	String	Full listing URL on ingatlan.com
scrapedAt	String	"2026-10-14T04:00:57.834Z"

Example output

{
    "listingId": "35625213",
    "listingTitle": "Debrecen, Monostorpályi út 25.",
    "price": 265000,
    "currency": "HUF",
    "pricePerSqm": 2650,
    "listingType": "rent",
    "propertyType": "lakas",
    "address": "Debrecen, Monostorpályi út 25.",
    "city": "Debrecen",
    "district": null,
    "rooms": 2,
    "halfRooms": null,
    "surface": 100,
    "landSurface": null,
    "floor": "1",
    "condition": "újszerű",
    "heating": "gázkazán, házközponti",
    "energyRating": "B",
    "balcony": true,
    "parking": "utca, közterület - ingyenes",
    "agencyName": null,
    "agencyUrl": null,
    "imageUrl": "https://ip.ingatlancdn.com/resize/magan/800x800/7bc5bd11735bd09f8dfd32d346fc54be9ed2b67c4c4a46ba95d65da248dec1ec/eyJrZXkiOiJjNVwvMThcLzEyNTU2MjIyOC5qcGciLCJrZWVwX3JhdGlvIjp0cnVlfQ==?source=listing_card",
    "imageUrls": [
        "https://ip.ingatlancdn.com/resize/magan/800x800/7bc5bd11735bd09f8dfd32d346fc54be9ed2b67c4c4a46ba95d65da248dec1ec/eyJrZXkiOiJjNVwvMThcLzEyNTU2MjIyOC5qcGciLCJrZWVwX3JhdGlvIjp0cnVlfQ==?source=listing_card"
    ],
    "description": "Debrecen , Monostorpályi úton frekventált helyen, buszmegállótól 2 percre boltok, üzletekhez közel, modern, bútorozott,...",
    "url": "https://ingatlan.com/35625213",
    "scrapedAt": "2026-10-14T04:00:57.834Z"
}

Proxies

You do not configure a proxy for this actor. Ingatlan.com sits behind Cloudflare and refuses Apify proxy exits on every page except the first search page, so the actor fetches through Bright Data using its own credentials: search pages through the Scraping Browser (one fresh session per page, three at a time at the default 512 MB and six from 1 GB of run memory), detail pages through the Web Unlocker, which is also the fallback for search pages. proxyConfiguration is still accepted so that existing saved tasks keep running, but it is ignored and the run says so in its log.

A search page holds 20 listings. Measured on the platform at the default 512 MB on 2026-10-12: 440 listings in 169 seconds and 2,000 listings in 744 seconds, about 7.5 seconds per page. At that memory the run is limited by its CPU share, so more memory makes it faster (on a full core the same 2,000 listings took 108 seconds). A search of 8,500 listings needs about 55 minutes at 512 MB: raise the run memory or the run timeout for searches that size. When the Scraping Browser is unavailable the run falls back to the Web Unlocker, which on a slow day reads one page per 25 seconds. Rows are saved page by page, so a run that reaches its timeout keeps what it has read.

Cost estimate

The actor charges $0.005 per run (start fee, one event per GB of memory; the default is 512 MB) plus $0.002 per result scraped. 100 results costs about $0.21; 1,000 results about $2.01. A run's usage cost only settles after it reports SUCCEEDED.

fetchDetails does not change the price per result, but it does change how long a run takes: one extra page fetch per listing. Three are fetched at a time, which works out at roughly 15-30 seconds per listing. A 50-listing run with fetchDetails on takes about 12-25 minutes, where the same run without it finishes in under a minute. Use maxDetails to bound it.

Limitations

• The eight fields marked detail above need fetchDetails. Without it they are null, because ingatlan.com does not put them on the search results page
• energyRating, condition and parking are null on listings where the seller left them blank, even with fetchDetails on
• floor applies to apartments, landSurface to houses and land. Each is null for the other
• Data is scraped from the public website and may change without notice
• Prices are in HUF (Hungarian Forint) unless listed in EUR by the seller

Use cases

• Market analysis: track asking prices, price-per-m2, and listing volumes across Hungarian cities and districts.
• Investment research: compare property prices in Budapest districts or across regional cities like Debrecen, Szeged, and Pecs.
• Relocation planning: search rental listings by area, room count, and budget for employees or families moving to Hungary.
• Real estate CRM enrichment: import listings with agency info, photos, and property specs into your pipeline.
• Competitor monitoring: compare asking prices of nearby listings.
• Proptech dashboards: build rental-yield and ROI models on fresh ingatlan.com inventory.

Support

Hit a bug or a missing field? Open an issue on the Actor page with the input you used. We answer Store issues within 24 hours.