Pararius Scraper

Pull rental listings from Pararius.com — already curated, structured, and delivered by ScrapeIt. Gain access to detailed housing data: monthly rent, addresses, property types, and landlord or agent information — optimized for Dutch rental market research, portfolio building, or lead generation.

Pararius Scraper
Solutions

Pararius Data Extraction, Fully Managed

Skip the hassle of parsing feeds or managing proxies — we handle the entire extraction process for you. Our custom-built scraper focuses on the exact segments of Pararius you care about, whether it’s apartments in Amsterdam or furnished rentals across the Randstad. You get structured data, filtered by your criteria and formatted to suit your pipeline — without needing to configure a single setting.

What We Extract from Pararius

We scrape Pararius data to collect structured rental information, covering every detail visible on listings:

  • property type
  • street address
  • zip code
  • price per month
  • deposit amount
  • number of rooms
  • living area (in m²)
  • energy label
  • whether the home is furnished, upholstered, or shell
  • listing status (available/rented)
  • floor level
  • balcony/garden presence
  • building year (if listed)

In addition, we include metadata such as listing ID, language of the original listing, listing agency name, and map coordinates when available. Whether you're analyzing trends in Amsterdam or tracking studio rental supply across Utrecht, we ensure clean, normalized exports ready for analytics or integration.

What We Extract from Pararius
What Else Can the Pararius Scraper Uncover?

What Else Can the Pararius Scraper Uncover?

Pararius includes rental market signals that often go unnoticed — and we help uncover them with our Pararius scraper. For example, we can extract how long each listing has been online, whether it's been recently updated, and if it's featured or promoted. Tags like “available immediately” or “suitable for sharing” offer context for tenant targeting. In certain cities, listings also carry landlord instructions, contact limits, or rental preference notes — useful for screening opportunities or building market intelligence dashboards. Even the structure of URL parameters can hint at geographic clustering or filtering logic worth capturing.

About Pararius

Pararius, launched in 2006, is the Netherlands’ leading rental-only real estate platform, built specifically for long-term housing seekers. With over 80,000 active rental listings at any time, it serves a wide audience — including expats, professionals, and students — through both Dutch and English interfaces, with pricing shown in euros (EUR). You can explore listings directly on pararius.com, which is optimized for international accessibility.

What makes Pararius stand out is its exclusive focus on rentals — unlike many platforms that blend rental and sales listings. Every property is listed via certified agents, ensuring consistent quality and legitimacy across the site. Advanced tools such as energy-label filters, price history tracking, and furnished/unfurnished toggles support transparent decision-making.

For power users, Pararius offers Pararius+, a premium alert service that sends listings before they go public. The platform also publishes quarterly market reports, neighborhood rental indices, and policy-relevant insights — making it not only a listings portal but a reliable source of rental data for researchers, investors, and housing professionals across the Netherlands.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Use a Pararius Scraper?

Pararius offers one of the most detailed and consistent rental listing ecosystems in the Netherlands — but it doesn’t offer a way to extract that data at scale. A Pararius scraper solves that, giving you clean, structured access to verified listings across every major Dutch city. It’s ideal for mapping rental trends, comparing agency performance, or building housing feeds based on exact specs like energy class or furnishing type. Instead of browsing and copying listings manually, you receive ready-to-use datasets that match your goals.

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About ScrapeIt

This isn’t a plug-and-play tool — ScrapeIt is a tailored data service built to scrape Pararius data and deliver it to you already structured, filtered, and ready to use. We build custom extractors that capture the exact housing details you need. Whether you're tracking rentals by neighborhood or updating real estate portfolios, we handle the extraction — you get clean data, no setup required.

FAQ

Is it possible to export data in formats ready for Excel or Google Sheets?

Definitely. We can deliver files in CSV or Excel format, fully structured and filterable — ready for dashboards or manual review.

Can I extract listings only from specific Dutch cities like Rotterdam or Utrecht?

Yes — we can limit scraping to any location available on Pararius, including city-wide, neighborhood-level, or postal code filters.

Will agent names and contact info be part of the dataset?

Yes — where available, we include the agency name, website, and contact details listed on the property page.

Does the export include furnishing status and energy labels?

Absolutely. We include tags such as “furnished,” “upholstered,” or “bare,” along with energy efficiency ratings if shown.

How often can I get updated data from Pararius?

You can request updates daily, weekly, or on a custom schedule — based on your workflow or how fast listings change in your market.

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.

Request a Quote

Tell us more about you and your project information.
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