How to get Ingatlannet.hu HU Property Listings in Make

Scrape ingatlannet.hu sale and rent listings - HUF prices, area, rooms, and listing URLs. ingatlannet.hu is one page of it. A run reads that public list and saves one row per result.

Set up the Apify actor

Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.

01
Open Ingatlannet.hu HU Property Listings and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.

You are on the input form. Keep the sample for this first run.

{
    "startSlugs": [
        "elado-lakas-budapest"
    ],
    "maxResults": 5,
    "maxPagesPerSlug": 2
}

03
Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
04
Open Storage, then Dataset. You should see listingId, title, price, currency.
05
When you want the real list, raise the row limit on the input. The sample is only there so the first run stays small.
06
Go back to the input and choose Save as a new task. Name it after this list.
07
Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
08
On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
09
Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.

How to set up in Make

Use the task ID and the API token from Set up the Apify actor, above.

01
In your Make scenario, add a module and search Apify. Choose Run an Actor.
02
Connect your Apify account with OAuth. If Make asks for a token, paste the API token from Set up the Apify actor, above.

Select Ingatlannet.hu HU Property Listings. Set Run synchronously to Yes for a small sample. Paste this input.

{
    "startSlugs": [
        "elado-lakas-budapest"
    ],
    "maxResults": 5,
    "maxPagesPerSlug": 2
}

04
Add Get Dataset Items. For Dataset ID, choose the default dataset ID from the Run an Actor module.
05
Map listingId, title, price, currency, location into the next module. A weekly repeat is the schedule from Set up the Apify actor, above.

Schema

Examples come from the actor sample, not a live result.

Name	Description	Example
`listingId`	Listing ID	`6913909`
`title`	Title	`Eladó Téglalakás Budapest, XII. kerület, Farkasvölgy, 205 m²`
`price`	Price	`435000000`
`currency`	Currency	`HUF`
`location`	Location	`Budapest, XII. kerület`
`areaSqm`	Area m²	`205`
`rooms`	Rooms	`4`
`url`	URL	`https://www.ingatlannet.hu/elado-lakas-xii-kerulet-farkasvolgy/6913909`

listingIdListing ID6913909
titleTitleEladó Téglalakás Budapest, XII. kerület, Farkasvölgy, 205 m²
pricePrice435000000
currencyCurrencyHUF
locationLocationBudapest, XII. kerület
areaSqmArea m²205
roomsRooms4
urlURLhttps://www.ingatlannet.hu/elado-lakas-xii-kerulet-farkasvolgy/6913909