Hemnet Scraper

We collect structured real estate data from Hemnet — already scraped, parsed, and ready to use. Whether you're tracking property trends, comparing Stockholm neighborhoods, or feeding your analytics tools, we deliver comprehensive listing info including prices, addresses, property descriptions, and more — without any setup on your end.

Hemnet Scraper
Solutions

How We Deliver Data from Hemnet

ScrapeIt handles the entire extraction process from Hemnet, helping you scrape Hemnet data without any hassle. We deliver real estate information that’s already filtered, structured, and formatted for use. You don’t need to manage any scripts, proxies, or logins — we take care of the technical side and send you the results. Whether you need CSV files for Excel, JSON feeds for automation, or datasets formatted for dashboards, we customize delivery to match your workflow.

Property Data You Get with Our Hemnet Scraper

From hemnet.se — Sweden’s largest real estate portal — our Hemnet scraper collects structured information directly from each property listing. This includes the listing title, full street address, postal code, price, property type, living area in square meters, and total number of rooms. We also capture agent and agency details, listing dates, and high-resolution image links. On top of that, Hemnet provides unique fields like energy performance, time on market, and user interest levels — all of which can be included in your export, tailored to your project’s goals.

Property Data You Get with Our Hemnet Scraper
Digging Deeper: Extra Dimensions of Hemnet Data

Digging Deeper: Extra Dimensions of Hemnet Data

Hemnet isn’t just a list of homes — it’s a behavioral lens into how Swedes search, compare, and decide on property. With ScrapeIt, you can tap into user interaction signals like how many times a listing has been saved, how long it’s been active, or whether it's trending within a certain region. We also monitor shifts in seller strategies — like when listings are relisted, re-priced, or moved between visibility tiers. In areas with heavy demand, Hemnet surfaces insights into market pressure and listing performance that go well beyond what’s visible at first glance — and we make sure those layers aren’t left behind.

What Makes Hemnet Unique

Hemnet is Sweden’s most visited property portal and the default starting point for anyone searching for real estate in the country. Founded in 1998, it now attracts over 40 million visits per month, with nearly 2 million weekly users — making hemnet.se a critical platform for buyers, sellers, and real estate agents alike.

Around 90% of all residential properties sold in Sweden appear on Hemnet, covering everything from resale homes and rentals to new developments and commercial listings. The site also offers mortgage calculators, energy efficiency data, neighborhood insights, and tools that support decision-making for both individuals and professionals.

Hemnet continuously evolves its offering with features like Hemnet Max (for boosted visibility), agent dashboards, and customized marketing tools for sellers. Its commitment to data-driven UX, coupled with high platform trust, has positioned it as one of the most information-rich and influential real estate ecosystems in Europe.

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 You Need a Hemnet Scraper to Track Sweden’s Real Estate Market

Sweden’s housing market is competitive and fast-moving — and Hemnet holds the most complete picture of it. With a Hemnet scraper, you can monitor property values by region, track price changes over time, and compare listings across hundreds of districts and postal codes. This data is essential for real estate analytics, CRM integrations, competitive intelligence, and bulk content population. Whether you're building tools for buyers, aggregating market snapshots, or feeding internal dashboards, structured exports from Hemnet give you a reliable, scalable foundation to work with.

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How ScrapeIt Powers Your Data Pipeline

At ScrapeIt, we specialize in delivering high-quality real estate data without the usual friction. You don’t need to touch code or manage infrastructure — we scrape Hemnet data and other real estate platforms to collect, structure, and deliver the exact information you need. Our scrapers are built to align with your goals, whether that means weekly updates, focused regional datasets, or API-ready exports. Behind every delivery is a real team that fine-tunes the process to fit your tools, timelines, and use case — efficiently and accurately.

FAQ

Can you extract time-sensitive details like price drops or when bidding starts?

Absolutely. Hemnet listings often display dynamic elements like price history, bidding status, or time-on-market — we track and include them in your export if needed.

Is it possible to receive updates on a recurring schedule?

Yes — we can deliver fresh datasets daily, weekly, or at intervals aligned with your internal processes or reporting cycles.

Can the data be filtered to specific counties or postal zones?

Of course. Whether you're focused on Stockholm suburbs, rural listings in Dalarna, or selected postal codes, we tailor the extraction to your exact scope.

In what format will I receive the data?

We provide outputs in CSV, Excel, or JSON — fully structured and ready for your tools, APIs, or custom applications.

Do I need to interact with Hemnet directly?

No. ScrapeIt handles the entire data collection process. You don’t need access credentials or scraping infrastructure — just the results.

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.

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Tell us more about you and your project information.
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