How to get Zenga.hu HU Property Listings with the API
Scrape zenga.hu (OTP Otthon) sale/rent listings - HUF prices, private/agency filter. A run 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.
- 01Open Zenga.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.
- 02You are on the input form. Keep the sample for this first run.
{ "searchTexts": [ "elado+lakas+budapest", "elado+lakas+szeged", "elado+lakas+debrecen" ], "sellerType": "private", "maxResults": 5, "fetchDetails": true, "discoveryMode": "search", "pageSize": 20 } - 03Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
- 04Open Storage, then Dataset. You should see
listingId,title,price,currency. - 05When you want the real list, raise the row limit on the input. The sample is only there so the first run stays small.
- 06Go back to the input and choose Save as a new task. Name it after this list.
- 07Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
- 08On 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.
- 09Open 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 with the API
- 01Use the API token from Set up the Apify actor, above.
- 02Send this request. Replace
YOUR_TOKEN. It waits up to 120 seconds.curl -X POST "https:// api.apify.com/ v2/ acts/ bakos_bence~zenga-listings/ runs? token=YOUR_TOKEN& waitForFinish=120" \ -H "Content-Type: application/ json" \ -d '{ "searchTexts": [ "elado+lakas+budapest", "elado+lakas+szeged", "elado+lakas+debrecen" ], "sellerType": "private", "maxResults": 5, "fetchDetails": true, "discoveryMode": "search", "pageSize": 20 }' - 03From the response, copy
defaultDatasetId. - 04Fetch the rows. Replace
DATASET_IDandYOUR_TOKEN.https:// api.apify.com/ v2/ datasets/ DATASET_ID/ items? format=json& clean=true& token=YOUR_TOKEN - 05To repeat it, use the task and the weekly schedule from Set up the Apify actor, above. A scheduled task's newest rows are this URL, with your task id and token:
https:// api.apify.com/ v2/ actor-tasks/ TASK_ID/ runs/ last/ dataset/ items? format=json& clean=true& status=SUCCEEDED& token=YOUR_TOKEN - 06Anyone with a URL that contains the token can read the rows.
Schema
Examples come from the actor sample, not a live result.
| Name | Description | Example |
|---|---|---|
listingId | Listing ID | 9089934 |
title | Title | Eladó |
price | Price | 45900000 |
currency | Currency | HUF |
sellerType | Seller type (private|agency|unknown) | private |
city | City | Abony |
floorAreaSize | Floor area m² | 120 |
numberOfRooms | Rooms | 4 |
url | URL | https:/ |
listingIdListing ID9089934titleTitleEladócsaládi ház, Abony pricePrice45900000currencyCurrencyHUFsellerTypeSeller type (private|agency|unknown)privatecityCityAbonyfloorAreaSizeFloor area m²120numberOfRoomsRooms4urlURLhttps:// www.zenga.hu/ ingatlan/ .../ 9089934
The same row as JSON
{
"listingId": "9089934",
"title": "Eladó családi ház, Abony",
"price": "45900000",
"currency": "HUF",
"sellerType": "private",
"city": "Abony",
"floorAreaSize": "120",
"numberOfRooms": "4",
"url": "https://www.zenga.hu/ingatlan/.../9089934"
}