We collect for-sale and rental listings from portals, aggregators, and developer websites. Every property comes with prices, attributes, address and coordinates, photos, and seller type. History shows when a property hit the market, how its price moved, and when it left.
Listings give the most current read on the housing market. Faster than any official transaction data.
Compute real asking prices, time on market, and discounts by segment and neighborhood.
Monitor competitors: new phase launches, price per square foot, how fast units sell out.
Get fresh listings in your segments before competitors do. Agents move faster with the database always at hand.
Feed valuation models and products with market data via API.
Three engagement models to fit the task: a one-time extraction, recurring data delivery, or a custom solution. We price against sources, volume, and frequency. The quote arrives before we start.
Capture the market once: for analysis, valuation, or a project launch.
Updates arrive on schedule, on their own. New listings and price cuts already included.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and an SLA.
How much does real estate scraping cost? The price is built from clear factors, from the number of platforms to update frequency. We send a quote and a data sample before work begins.
Describe your segments and geography, and we'll come back with pricing, timeline, and a data sample within one business day.
A real estate scraper is a robot that collects listings from platforms into a structured database. It walks the results pages, captures each listing, and maps the data to a single schema. Every section of a platform is labeled: for sale, rentals, new construction, commercial. Databases of apartments, houses, land, and commercial space all arrive in one format.
What goes into a property record:
We match sources to your segment: listing portals and real estate aggregators plus developer and agency websites. Every site exposes its own field set and its own layout; the robot maps the data to one schema. Developer websites and new-construction listings show prices straight from the developer.
Properties often sit on several platforms at once: one property gets published at different prices. Every listing carries a link to its property record. We cross-check property details between platforms, merge duplicates, and compute statistics for the market — not for the listing count. The attribute set depends on the property type.
Off-the-shelf software needs installing, configuring, and constant upkeep. Cloud services offer access to shared datasets. Custom collection is configured for your task and delivers a finished result.
We work on the third model. You never deal with the scraper itself: no access needed, and setup, proxies, and repairs after platform changes stay on our side. You work with the database, not the software.
We determine the seller type in a listing from platform labels and account behavior. Owners, agents, and developers are tagged in a dedicated field: the segmentation is useful in itself and saves agents from calling competitors by mistake. The share of owner listings in a segment is a useful market metric on its own.
A note on boundaries: we do not collect personal data. The database contains no phone numbers of owners or other private individuals. It is built for market analysis, not for cold calling.
A one-time export shows the market as of the capture date. Monitoring turns that snapshot into a stream: new listings and price changes arrive on schedule.
How the stream is configured:
Market analysis gets honest metrics: asking prices by neighborhood, time on market, the size and frequency of price cuts, supply by segment. Developers see competitors in motion: prices and sell-out speed by phase. Agencies plug the stream into their workflow and catch new listings the day they go live.
A note on scope: the service covers the residential and commercial property markets. Other classifieds categories are collected by classified ads scraping, the labor market by job posting scraping, and arbitrary websites by web scraping.
We deliver the data as a single CSV or Excel file, a feed, an API, or a web interface. We'll send a sample for your segment before you pay: the demo shows the field coverage and deduplication quality.
We've been collecting data from classifieds and open sources since 2015. Data is valuable when it's clean, complete, and on time.
Duplicates from different platforms are merged. Statistics reflect the market, not the listing count.
Listing date, price cuts, exit from the market. Time on market and discounts are computed honestly.
Portals, aggregators, developers, and agencies in a single data schema.
Addresses normalized, coordinates attached. The data is ready for maps and neighborhood-level analysis.
A transparent process: a quote and a data sample before work begins. No hidden fees, no surprises.
You name the segments, geography, and required fields.
A data sample and an exact price before work begins.
We connect the sources and configure deduplication and filters.
Exports, a feed, or an API — with history and alerts.
A living database of the property market: by properties, not by listings.
Attributes, prices, coordinates, photos, and seller type for every property.
New listings, price cuts, and exits. Time on market and discounts over time.
A data stream into your model, dashboard, or CRM.
New properties matching your filters on the day they're published. Email, messengers, or SMS.
Real estate scraping covers the property market. We'll build the adjacent tracks around your task.
If you don't see the answer you need, send a request: support replies within one business day.
Major portals and aggregators — including Zillow, Realtor.com, Rightmove, and Domain.com.au — plus developer and agency websites. We match the source list to your segment and region; the data schema stays unified.
Listings are matched by address, attributes, and photos. Duplicates from different platforms merge into a single property record with history for each source.
Asking prices: what sellers publish. For reading the market it's the fastest signal available. The gap to closing prices can be estimated from the dynamics of price cuts.
With recurring monitoring — the day they're published. Capture frequency and alert delivery can be tuned up to several times a day.
Projects start at $150. The final price depends on the number of platforms, data volume, update frequency, and extra processing (factor breakdown above). We send an exact quote and a demo export before work begins.
No. We do not collect personal data: the export contains no phone numbers of owners or other private individuals. Seller type is tagged in a dedicated field: owner, agency, or developer. The database is built for market analysis.
Software needs installing, configuring, and fixing every time a platform changes. Our service is done for you: our team runs the collection, deduplication, and maintenance, and you receive a ready database or stream.
Based on your filters and parameters: segment, neighborhood, price, seller type. Channels of your choice: email, messengers, SMS, or a stream straight into your CRM via API.
Yes, there's a web interface: search, filters, price history, and export in one window, with access controls. It's simple to use, and we'll show a demo on your segment. Exports download as a single file.