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Ingatlan.com HU Property Listings

How to get Ingatlan.com HU Property Listings in Make

Scrape ingatlan.com sale and rent listings - HUF prices, area, rooms, and districts. ingatlan.com 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.

  1. 01
    Open Ingatlan.com 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.
  2. 02
    You are on the input form. Keep the sample for this first run.
    {
    "listingType": "elado",
    "location": "budapest",
    "propertyType": "lakas",
    "maxResults": 5,
    "fetchAgentContact": false,
    "fetchDetails": false
}
  3. 03
    Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
  4. 04
    Open Storage, then Dataset. You should see listingTitle, price, currency, listingType.
  5. 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.
  6. 06
    Go back to the input and choose Save as a new task. Name it after this list.
  7. 07
    Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
  8. 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.
  9. 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.

  1. 01
    In your Make scenario, add a module and search Apify. Choose Run an Actor.
  2. 02
    Connect your Apify account with OAuth. If Make asks for a token, paste the API token from Set up the Apify actor, above.
  3. 03
    Select Ingatlan.com HU Property Listings. Set Run synchronously to Yes for a small sample. Paste this input.
    {
    "listingType": "elado",
    "location": "budapest",
    "propertyType": "lakas",
    "maxResults": 5,
    "fetchAgentContact": false,
    "fetchDetails": false
}
  4. 04
    Add Get Dataset Items. For Dataset ID, choose the default dataset ID from the Run an Actor module.
  5. 05
    Map listingTitle, price, currency, listingType, propertyType 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.

NameDescriptionExample
listingTitleTitleBudapest, XIII. kerület, Váci út
pricePrice (HUF)45900000
currencyCurrencyHUF
listingTypeListing type (sale/rent)sale
propertyTypeProperty typelakas
cityCityBudapest
districtDistrictXIII. kerület
roomsRooms2
surfaceSurface (m²)48
agencyNameAgency nameOTP Ingatlanpont
urlListing URLhttps://ingatlan.com/37654321
  • listingTitleTitleBudapest, XIII. kerület, Váci út
  • pricePrice (HUF)45900000
  • currencyCurrencyHUF
  • listingTypeListing type (sale/rent)sale
  • propertyTypeProperty typelakas
  • cityCityBudapest
  • districtDistrictXIII. kerület
  • roomsRooms2
  • surfaceSurface (m²)48
  • agencyNameAgency nameOTP Ingatlanpont
  • urlListing URLhttps://ingatlan.com/37654321