Jófogás Ingatlan HU Property Listings
How to get Jófogás Ingatlan HU Property Listings with the API
Scrape Jófogás Ingatlan sale and rent listings - HUF prices, area, rooms, private vs agency. 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 Jófogás Ingatlan 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.
{ "listingType": "elado", "propertyType": "lakas", "location": "budapest", "sellerType": "all", "maxResults": 5 } - 03Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
- 04Open Storage, then Dataset. You should see
title,price,currency,location. - 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~jofogas-ingatlan/ runs? token=YOUR_TOKEN& waitForFinish=120" \ -H "Content-Type: application/ json" \ -d '{ "listingType": "elado", "propertyType": "lakas", "location": "budapest", "sellerType": "all", "maxResults": 5 }' - 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 |
|---|---|---|
title | Title | VI. |
price | Price (HUF) | 180000 |
currency | Currency | HUF |
location | Location | Budapest |
sellerType | Seller type (private|agency) | agency |
propertyType | Property type | lakas |
areaSqm | Area (m²) | 21 |
rooms | Rooms | 1 |
titleTitleVI.ker. Jókai téren garzon kiadó! pricePrice (HUF)180000currencyCurrencyHUFlocationLocationBudapestsellerTypeSeller type (private|agency)agencypropertyTypeProperty typelakasareaSqmArea (m²)21roomsRooms1
The same row as JSON
{
"title": "VI. ker. Jókai téren garzon kiadó!",
"price": "180000",
"currency": "HUF",
"location": "Budapest",
"sellerType": "agency",
"propertyType": "lakas",
"areaSqm": "21",
"rooms": "1"
}