Sparkasse Immobilien scraper for savings bank listings

The Sparkassen portal mixes the savings banks' own offers with labelled partner listings in one search. Our Sparkasse Immobilien scraper keeps that split in every row.

Plans from €169/month · Free project assessment · Reply within 1 business day

Sparkasse Immobilien Scraper
Solutions

How we scrape Sparkasse Immobilien

Name the regions, cities or holiday areas and the property types, and we set up the crawl: radius searches around each place, sale and rent run separately, every exposé opened and flattened into one row with its offer label kept. Each search is fixed in its address by place, radius, sale or rent and sort order, so every run repeats exactly the same slice; pacing, proxy rotation and page rendering sit on our side. You choose a one-off extract or a schedule - daily, weekly or on demand - and every run is matched against the last by object number, so new, re-priced and withdrawn exposés are flagged. Before the first run you get a free project assessment, and every delivery is documented field by field.

Sparkasse Immobilien data: exposé fields

Every exposé on the portal follows one template, whichever savings bank, LBS agency or partner agency supplied it, and its object data block opens with two identifiers: the Objektnummer, prefixed FID-, and a SIP-ID. The first is our row key. Fields we extract:

  • Identity - object number, SIP-ID, URL, title, offer label (Sparkassenangebot, LBS Angebot or Kooperationsangebot), sale or rent, photo count and the floor plan image.
  • Prices and costs - purchase price and price per square metre, Hausgeld (the owner's monthly service charge), the buyer commission as published - a percentage including VAT, or provisionsfrei - net cold rent, ground rent (Pacht) for leasehold flats and current rental income where stated.
  • Location - postcode and town, the city or district page the listing was found under, and the street when the provider releases it; many exposés hold it back with Straße nicht freigegeben and refer you to the provider for the full address.
  • Size and layout - living area, total and plot area, rooms, bedrooms, bathrooms, balconies and balcony or terrace area, floor, number of storeys, parking type and spaces, and date of availability.
  • Condition - year built, last modernisation, condition, construction type, floor coverings and feature tags such as storage room, bathroom with window, bathtub, balcony or cellar.
  • Energy certificate - consumption- or demand-based type, efficiency class, issue and expiry dates, building type, heating, primary energy source, firing, whether hot water is included, and the energy value (kWh per square metre a year).
  • Provider - the company named under Anbieterinformationen, its office address and, for partner listings, the cooperation note.
  • Text - location description, property description, equipment notes and further information.

The commission field is where this portal differs most from owner-to-owner sites. Savings banks sell as brokers, so the buyer's share is a figure printed on the exposé rather than an assumption, and a column of it shows exactly where a sale is offered provisionsfrei.

Sparkasse Immobilien data: exposé fields
Sparkasse Immobilien listings across regions and providers

Sparkasse Immobilien listings across regions and providers

One exposé describes a property; the structure of the portal is what turns exposés into a market view.

  • Three kinds of supply. Result cards carry a label: Sparkassenangebot for offers of a savings bank or its real estate subsidiary, LBS Angebot for brokers working for the LBS group, Kooperationsangebot for listings taken in from a partner portal. We keep the label, so you can study the Sparkassen stock alone or the whole search.
  • Regional entry points. Landing pages exist by federal state, by city and by Berlin district, plus holiday regions from the North Sea and Baltic coasts to Lake Constance, the Allgäu and the Black Forest. Each search is a radius around a place and sorts by distance, lowest or highest price and newest objects.
  • History from repeated runs. Exposés show no publication date, so scheduled passes record first and last sighting, price cuts and withdrawals per object number - days on market built by us rather than read from the page.
  • Provider view. Counting exposés per subsidiary or partner agency shows which offices carry stock in which towns, and how that changes from month to month.

About the Sparkassen property portal

immobilien.sparkasse.de is the property marketplace of the Sparkassen-Finanzgruppe, the network of German public savings banks; the group's publisher page lists it as Der Marktplatz für Sparkassen-Immobilien, and the portal itself presents the group as Germany's largest broker network for residential property. Listings come from the individual savings banks and their estate agency subsidiaries - in Munich, for example, SIS-Sparkassen-Immobilien-Service GmbH, in Berlin BSK Immobilien GmbH - from the estate agencies of the LBS group, and from partner agencies whose offers arrive through a cooperation with another national portal.

The site is in German and is organised around the owner's and buyer's path: Kaufen, Bauen, Verkaufen, Modernisieren and Mieten, with calculators, checklists and sample tenancy documents beside the search. The search starts from a place and a radius and splits residential offers into sale and rent, shown as a list or on a map. Location pages cover all sixteen federal states, larger cities and the Berlin districts, and holiday regions such as the Ammersee, Chiemsee, Harz, Eifel or Spreewald.

For data buyers the point is the provider mix. Each exposé names a company as its provider, and the offer label on the result card says through which channel it came.

Get a Quote
dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

Sparkasse Immobilien Scraping Plans and Pricing

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

Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.

Full plan details →

Uses for a Sparkasse Immobilien dataset

Savings banks sell homes in their own regions, so their portal reflects a regional, bank-brokered supply that complements open classifieds.

  • Commission benchmarking. The buyer commission is a field of its own, so you can track the share asked by savings banks and partner agencies state by state and see where offers go provisionsfrei.
  • Housing cost analysis. Price per square metre and Hausgeld side by side give a running-cost picture for flats, and ground rent flags leasehold offers that would distort a price average.
  • Energy and modernisation. Certificate type, class, expiry date, year built and last modernisation show where stock needs upgrading - input for lenders' ESG reporting, energy consultants and installers.
  • Broker market share. Exposé counts per provider and per label show how much of a town's stock runs through the savings bank network and how much through partners.
  • Holiday-home markets. The regional pages for coasts, lakes and mountains make second-home markets a defined slice to monitor season by season.

Related Case Studies

Apartments.com Data: Unit Prices for 3,000 Buildings Every Day

Apartments.com Data: Unit Prices for 3,000 Buildings Every Day

A daily apartments.com feed for a US apartment locator: about 3,000 buildings from the client's own list, down to each unit's rent and floor plan.

Learn More about Apartments.com Data: Unit Prices for 3,000 Buildings Every Day
Housing.com Data: 315K Project Pages with Photos and Floor Plans

Housing.com Data: 315K Project Pages with Photos and Floor Plans

A one-time Housing.com collection for a real-estate company in India: project cards plus every photo and floor plan, uploaded straight to its cloud drive.

Learn More about Housing.com Data: 315K Project Pages with Photos and Floor Plans
Sahibinden Data: 201K Car and SUV Listings Delivered Through Our API

Sahibinden Data: 201K Car and SUV Listings Delivered Through Our API

A one-time 30-day history of Sahibinden car and SUV listings for a startup building an AI deal finder, delivered as JSON through our API.

Learn More about Sahibinden Data: 201K Car and SUV Listings Delivered Through Our API
Our Blog

Reads Our Latest News & Blog

Learn how to use web scraping to solve data problems for your organization

6 German Property Websites to Scrape in 2026: ImmoScout24 to WG-Gesucht

6 German Property Websites to Scrape in 2026: ImmoScout24 to WG-Gesucht

Six German property websites worth scraping in 2026 - ImmoScout24, Immowelt, Kleinanzeigen, Sparkasse Immobilien, ohne-makler.net and WG-Gesucht - with the fields each one shows, what only it adds and how to merge them into one dataset.

Scraping Property Portals by Region: Best Real Estate Platforms That Actually Matter

Scraping Property Portals by Region: Best Real Estate Platforms That Actually Matter

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.

7 Real Estate Websites to Scrape in 2026: Plus 2 Hidden Gems

7 Real Estate Websites to Scrape in 2026: Plus 2 Hidden Gems

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.”

scrapeit logo

About ScrapeIt

ScrapeIt runs web data collection as a managed service: we build, operate and repair the crawlers, and the dataset arrives on your schedule as CSV, Excel, JSON or through our API. On a portal that mixes three offer channels in one search, we keep every row tied to its channel and its provider company. Adviser names and direct phone numbers on Sparkasse exposés are personal data under GDPR, so we leave them out by default and deliver the provider company and its office address instead. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.

FAQ

Do you offer a Sparkasse Immobilien API for exposé data?

Yes. The ScrapeIt Sparkasse Immobilien API returns the object number, offer label, purchase price, price per square metre, buyer commission and energy class as JSON from an endpoint we host, refreshed on the schedule you set. The same records can also come as XLSX or JSONLines files, or land in Amazon S3 or your database.

Is it legal to scrape Sparkasse Immobilien?

Yes. Result cards and full exposés with price, commission, energy data and provider company are open to every visitor of immobilien.sparkasse.de. We collect only publicly available data - everything a visitor can see on Sparkasse Immobilien - and we collect it legally.

Which providers list on Sparkasse Immobilien, and can you tell them apart?

Three channels appear in one search: savings banks and their estate agency subsidiaries under the label Sparkassenangebot, brokers working for the LBS group under LBS Angebot, and partner agencies under Kooperationsangebot. Every row carries that label plus the provider company named in the exposé, so the Sparkassen stock can be isolated or compared with the partner listings.

Can you cover rentals and holiday regions as well as sales?

Yes. The portal searches sale and rent separately, and the exposé template carries a net cold rent field for rental offers. Besides states, cities and Berlin districts it keeps regional pages for areas such as the Baltic coast, Lake Constance or the Bavarian Forest, and we can run any of them as a fixed slice with the radius you choose.

Why is the street missing from some Sparkasse Immobilien listings?

Many providers release only postcode and town; the exposé then reads Straße nicht freigegeben and points to the provider for the full address. We deliver what is published - postcode, town, the district page and the location text - and never guess a street. For mapping, the postcode or the district is the dependable level.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
Which sites, which fields, how often. A couple of lines is enough.

This form is protected by Google reCAPTCHA, which loads when you start filling it in. If you prefer not to use it, email us at info@scrapeit.io. Privacy & Cookie Policy

We reply within 1 business day. No obligation.

Sparkasse Immobilien data from €169/month. Free project assessment, reply within 1 business day.

scrapiet

Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582