You name the states, suburbs or postcodes, the listing types (sale, rent, sold, project) and the fields. We build the crawlers, run them on your schedule, and repair them when Domain changes its markup, its listing IDs or the shape of its project and profile pages. Domain is heavy on dynamic rendering and rate limits, so collection is paced and monitored rather than brute forced, and we take public listing pages only.
You get CSV, JSON, XLSX, an API feed or a direct write into your database. No infrastructure and no code on your side.
A standard Domain.com.au extraction covers:
On request we also pull fields that sit outside the main listing card and signals that only appear once history is kept:
Domain.com.au is one of the largest residential property portals in Australia, operated by Domain Group alongside Allhomes for Canberra and the ACT and commercialrealestate.com.au for commercial stock. Coverage runs across every state and territory, with addresses written as street number, street, suburb, state code (NSW, VIC, QLD, SA, WA, TAS, NT, ACT) and a four digit postcode.
The site carries several distinct inventories side by side: properties for sale, properties for rent, new apartments and land estates sold as projects, and an archive of sold results and auction results. Listings are in English and every amount is in Australian dollars, with rent quoted per week rather than per month. Beyond the live listing feed, Domain publishes property profile pages keyed to an address rather than to a listing, suburb profiles, nearby school and catchment information, and the Domain Says automated price estimate with its confidence band.
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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 is read suburb by suburb and week by week, and Domain carries the sale, rental, sold and auction records for the same address in one place. Agencies track competitor stock inside their own catchment, watch how long a rival listing sits before the guide range is revised or drops back to Contact Agent, and see which vendors go to auction rather than private treaty.
Lenders, valuers and proptech teams pair live sale listings with sold results to build comparable sets and to test their own automated valuations against Domain Says and against the price actually achieved. Build to rent and property management operators track weekly asking rents by bedroom count and property type across a set of postcodes, since Domain quotes rent per week rather than per month. Developers watch new apartment and land estate projects appear in their catchment. Investors and researchers reconstruct auction clearance patterns per suburb per weekend from published results rather than waiting on summary reports.
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 you need; we build, run and maintain the crawlers and deliver structured data on a schedule. When a site changes, fixing it is our job, not yours.
We work with public data only, take no personal data beyond what is publicly published, hold a GDPR and CCPA aligned posture, and sign confidentiality agreements. We do not bypass logins, paywalls or CAPTCHAs. Plans start from EUR 199.
Yes. Sold date, sold price where Domain publishes it, sale method and passed in flags, collected by suburb and by agency.
No. We collect public listing pages only. We do not bypass logins, paywalls or CAPTCHAs, and we take no personal data beyond what is published.
We keep the published string, such as Auction or Contact Agent, alongside any parsed range. Queensland auction listings carry no advertised price by law.
Daily suits active sale and rental stock. Auction results fit a weekly run after Saturday, and suburb level profile data a monthly one.
CSV, JSON, XLSX, straight into your database or through an API, on the schedule you set. Managed 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
