4 guides
Property listings from three national portals
Listings and agencies from Fotocasa in Spain, Imobiliare.ro in Romania and Zigbang in Korea: asking prices, rental structures such as Korean jeonse, coordinates and the agency behind each listing.
Property portals compared
Fotocasa, Imobiliare.ro and Zigbang publish listing data in three different shapes, behind three different access models, with three different robots.txt files. What each one gives you, where each one stops, and what the measured fill rates actually say.
How to scrape Fotocasa
A working method for extracting Spanish property listings from Fotocasa: picking a location from its ID tree, filters that actually filter, the pagination wall at page 392, and when a detail page is worth 65 times the bandwidth.
How to scrape Imobiliare.ro
Imobiliare.ro put DataDome in front of its searches in October 2026. What changed for a scraper, what the listing rows contain, the 9,990-result ceiling, the location trap, and how private sellers are handled.
Zigbang API
Zigbang has no public listings API. What its public data contains, how monthly rent, jeonse and sale are represented, the land-registry keys on every detail page, the licensed agents behind the listings, and what Zigbang's robots.txt says.