230,000 Daily Rows Standardized Across 5 EU Property Sites
A European online real estate portal came to us in the middle of a growth phase. Its product rests on one thing staying true: the property database has to reflect what is actually on the market today, not last week. The portal commissioned us to run full monitoring of listings on five other real estate websites, and to hand the results back in a shape its own analytics pipeline could read without a translation step in between.
Sources: funda.nl, pararius.com, rentberry.com, rentola.com, zimmo.be
Frequency: daily
Volume: about 230,000 rows per day
Setup and launch: 3 weeks
Full monitoring means the whole listing base, every day
The portal was not tracking a watchlist of interesting properties. It needed its own database held in line with five external ones simultaneously, which is a different job: whatever is published, changed or withdrawn on any of the five sources has to be visible on the client's side within the same daily cycle. That scope is what produces the numbers above. The daily dataset comes to roughly 230,000 rows - not a sample of five sites, but the current state of all five.
Five sources, five ways of describing the same property
Collection was not the interesting part of this project. The interesting part was that funda.nl, pararius.com, rentberry.com, rentola.com and zimmo.be each describe a property in their own terms and their own structure. Five feeds arriving in five different shapes are five separate integration problems for whoever receives them, and that cost does not land once - it lands every day, on the client's analytics team.
So we treated the unified structure as part of the deliverable rather than as something the client would clean up afterwards. Reports gathered from all five websites are reconciled into one common structure before they ever reach the portal. The client's analytics pipeline ingests a single consistent format and never has to know which source a given row came from, or that the five sources disagree with each other about how a listing should be described. Standardization at this volume is also the part that has to keep working unattended: a normalization layer that is right on day one but drifts as the sources change is not a solution, it is a deferred problem.
Where the engineering time went, and where it did not
By the standards of the work we usually take on, this was one of the simpler projects, and it is worth saying so plainly. European real estate sites, with some exceptions, do not rely on advanced anti-bot protection, so access was routine here and never became the thing we had to defend the schedule against. That is exactly why the project reads the way it does: the effort concentrated on the normalization layer and on making a six-figure daily row count arrive reliably, on schedule, without anyone on the client's side having to check whether it did.
What the portal gets now
Three weeks from commission to a running system. From then on, approximately 230,000 rows a day, covering listings across funda.nl, pararius.com, rentberry.com, rentola.com and zimmo.be, delivered in a single standardized structure that feeds the portal's unified analytics directly. For a company in a growth phase, that turns "is our property database current?" from a recurring question into a scheduled process nobody has to think about.
Talk to us to find out how we can help you
Let us take your work with data to the next level and outrank your competitors.
How does it Work?
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.