Property portals geo-restrict listings and aggressively rate-limit repeat visitors. Aggregating listings across markets requires local IPs that see the same inventory a local buyer sees -- including prices, availability, and listing details that vary by region.
Use rotating residential proxies for property data collection. Real estate portals restrict listings by geography and throttle automated access. Residential rotation returns local inventory at 98%+ success without triggering anti-scraping measures.
| Expected success | 98%+ on major property portals |
| Rotation | Per listing for search pages; sticky for detail pages |
| Geo targeting | City-level for local market coverage |
| Cost fit | ~$2.10/GB residential PAYG |
import requests
proxy = "http://USER:PASS@gw.knoxproxy.com:7000"markets = [ {"city": "austin", "country": "us"}, {"city": "toronto", "country": "ca"}, {"city": "london", "country": "gb"},]
for market in markets: r = requests.get("https://realestate.example/listings", proxies={"https": proxy}, headers={"x-kx-country": market["country"], "x-kx-city": market["city"]}, params={"type": "sale", "min_price": 200000}) listings = parse_listings(r.text) for listing in listings: save_listing(market["city"], listing)Real estate data collection targets publicly listed property information. Collect listing details (price, address, size, photos) that are publicly visible. Do not access agent-only MLS sections without authorization. Respect portal rate limits and terms.
Real estate portals localize their results by visitor location. A search from New York shows New York listings; the same portal accessed from Austin prioritizes Austin inventory. To aggregate across markets, you need a local IP in each market.
The only reliable way to see what a real user sees is to become one.
Scheduler, proxy fetch, parser, store -- the proxy is one line in the fetch step. Everything else is pipeline you already run.
Property markets are hyperlocal. Use city-level targeting to access listings in each market. Country-level is too broad for accurate real estate data.
Use per-request rotation for search result pages. Switch to sticky sessions when crawling individual listing details that span multiple pages.
Properties change status (active, pending, sold) frequently. Daily monitoring catches status changes and price adjustments within 24 hours.
Failed fetches are never billed, so your effective cost tracks the success rate you actually observe.
You can collect publicly visible listing data -- price, address, size, photos -- from property portals using residential proxies, which reach 98%+ success on major sites. Do not access agent-restricted MLS sections without authorization, and respect each portal's stated rate limits and terms of service.
Property markets are hyperlocal, and portals serve different inventory based on visitor location -- a search from Austin surfaces different listings than one from New York. City-level targeting returns the same local inventory, pricing, and availability a buyer physically in that market would see on the portal.
Daily monitoring catches most price changes and status updates -- active, pending, sold -- within 24 hours of the portal publishing them. In hot markets where inventory moves faster, switch to twice-daily checks so status changes and price adjustments do not slip past between visits.
They rate-limit aggressively from single IPs but rarely block residential rotation paired with polite pacing. Expect 98%+ success on major portals when you rotate per request on search pages and switch to sticky sessions, such as ISP proxies, while crawling multi-page listing details.
Rotating residential with city targeting included -- instant activation, 14-day money-back guarantee.