You name the states, suburbs or postcodes, the channels - Buy, Rent, Sold, New homes - and the fields you want. We build the crawlers, run them daily or weekly, and repair them when REA changes the page. Realestate.com.au is genuinely hard to collect at scale - the pages render dynamically, rate limits are tight and traffic from outside Australia is treated harshly - so runs are paced and monitored rather than hammered. We collect only what the portal publishes openly. You get clean rows, not a scraping project.
A standard realestate.com.au extract includes:
Beyond the visible card, several things are worth capturing because they only exist if you watch the listing over time:
Realestate.com.au is the property portal operated by REA Group and one of the largest residential listing sites in the country - the default place Australian agencies advertise stock. It covers every state and territory - New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, the ACT and the Northern Territory - and splits inventory into Buy, Rent, Sold, New homes and Retirement living, with address level property pages and suburb profiles sitting alongside the live ads.
Listings are written in English and priced in Australian dollars. Sale ads carry an asking price, a guide range, an auction campaign, or simply Contact Agent. Rentals are quoted per week with a separate bond figure and an available from date. Every ad is uploaded by a licensed agency, so agency branding, office and agent names sit on the card next to beds, baths and car spaces. Sold records keep the sale date and method, though many are published as Price withheld.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Australian residential pricing moves through auction campaigns, and the portal is where that campaign is visible day by day. Tracking the same listing ID over time gives you the guide range at launch, every revision, the auction date, and the outcome - sold under the hammer, sold prior, passed in, or quietly relisted weeks later. That sequence is the raw material for discount and clearance analysis.
Buyers agents and developers run suburb profile and postcode pulls to size supply by property type and bedroom count before an auction campaign starts. Build to rent and property management firms track weekly rent, bond and available dates to price new stock against the street. Agency groups benchmark their own listing volume, days on site and ad tier against rival franchise brands in the same postcode. Banks, insurers and proptech teams pull address level history - guide, auction method, sold date, and the Price withheld flag where no figure was published - to keep Australian valuation and risk models current.
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
ScrapeIt is a fully managed web scraping service. You tell us the target sites and the fields; we write the crawlers, run them on your schedule, maintain them when the site changes, and hand over structured data. No infrastructure, no proxies to buy, no code on your side.
Delivery is CSV, JSON, XLSX, straight into your database, or through an API. Plans start from EUR 199. We collect public data only, hold a GDPR and CCPA posture, and will sign a confidentiality agreement before the first run.
Yes. We take the Sold channel with sale date and method, and we flag records published as Price withheld instead of guessing a figure.
Yes. Rental rows carry weekly rent in AUD, bond, available date, property type and inspection times, on the same schedule as sale data.
Yes. We scope by suburb, postcode or state code such as NSW or VIC, and by channel, so you only pay for the slice you actually use.
We take the agency name, brand, office and listing agent names as published on the ad. Public data only - no logins, paywalls or private accounts.
CSV, JSON or XLSX on a daily or weekly run, or written straight to your database or pulled via API. Plans start from EUR 199.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
