Platform · Immowelt

Immowelt Data Scraping

The German number two. Which makes the useful question not what it lists, but what it lists that the leader does not.

Immowelt data scraping collects German property listings, asking prices, status and agent attribution. As the market's second portal behind a dominant leader, the analytically useful measurement is the coverage gap: which listings appear here and not on the leader, and in which regions and segments. That is computed from paired panels, not asserted.

Collecting the number two portal only makes sense if you know what it adds. So we measure that first.

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immowelt.jsonl LIVE FEED

{"portal":"immowelt","listing_id":"iw-44120", "region":"Example region","property_type":"apartment_rent", "rent_cold":980,"nebenkosten":210, "rent_warm_displayed":"null", "epc_class":"as published","living_area_sqm":74, "area_basis":"wohnflaeche"} {"unique_listing_share":{"region_a":0.09,"region_b":0.31}, "note":"one national overlap figure would have hidden region_b entirely"} {"rent_warm_computed":"not_produced", "panel_schedule_id":"de-portals-sync", "caution":"estimating warm rent would put a model in a price column"}

3 of 884,110 listing rows · Germanyunique share BY REGION · warm rent never computed · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Immowelt or its owners. Immowelt and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Immowelt at a glance

How we handle Immowelt specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Portal: Immowelt — German number two
The useful measure: Coverage gap against the leader
How: Paired panels on a shared schedule
Where it matters: Regional and segment differences
If overlap is very high: We say collect the difference only
German conventions: Nebenkosten, Energieausweis, Wohnfläche
Asking price: Not a transaction price
Refresh: Daily; status changes are the events worth catching

Platform specifics

Measuring what a second portal adds

These are the reasons a Immowelt dataset needs its own handling rather than a shared retail schema.

The coverage gap is the deliverable

In a market with a dominant portal, adding the second one is worth doing only if it carries listings the first does not. That is measurable, and we measure it before quoting.

Overlap is rarely uniform. It differs by region, by property type and by price band.
Regional agents frequently use one portal and not the other.
Segment differences matter — rental and commercial mixes differ from residential sale.
So one overlap figure hides the parts where the second portal actually adds something.

We report unique_listing_share broken out by region, property type and price band, from paired panels on a shared schedule with panel_schedule_id shared.

Where overlap is very high across the board, we recommend collecting the difference rather than a second full panel — the same position as our Postmates and Hotels.com pages.

And the gap is the interesting series

A widening or narrowing unique share is a structural signal about where agents are listing, which is a market finding rather than a data-quality one.

German conventions, and what we do not collect

Nebenkosten

German rental listings separate cold rent from additional costs. A figure that folds them together is not what either the listing or a tenant sees.

rent_cold, nebenkosten and rent_warm_displayed are separate fields, and we do not compute a warm rent where the listing does not display one — additional costs vary and an estimate would be a model in a price column.

Energieausweis

Energy certificate values are published on German listings and are a real pricing variable. Captured as published, with epc_class and epc_value where shown, and unstated where not.

Wohnfläche

Living area follows German measurement conventions that differ from other markets, so area_basis travels with every area figure. Cross-border area comparison without it compares different measurements.

What we do not collect

Vendor, tenant, buyer or enquirer data. Individual agents. Sold prices, which a portal does not publish. Addresses sharpened beyond publication — German listings frequently give an area rather than a street.

Scope

What we collect on Immowelt, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

unique_listing_share by region, property type and price band
Paired panels on a shared schedule, with panel_schedule_id shared
A recommendation to collect the difference where overlap is very high
rent_cold, nebenkosten and rent_warm_displayed as separate fields
No computed warm rent where the listing does not display one
epc_class and epc_value as published, unstated where not
area_basis on every area figure
Status transitions as timestamped events
price_is_asking as a constant true

❌ What we do not, and why

A second full panel sold without measuring what it adds
One overlap figure covering all regions and segments
A warm rent computed from cold rent and an assumed Nebenkosten
An area figure compared across borders without its basis
Vendor, tenant, enquirer or individual agent data

Core Immowelt fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
portal / listing_id / region	The listing and where it is
unique_listing_share	By region, type and band. The deliverable
panel_schedule_id	Shared across the paired portals
asking_price / price_is_asking	A marketing figure, flagged
rent_cold / nebenkosten / rent_warm_displayed	Separate. Warm never computed
epc_class / epc_value	As published. Unstated where not
living_area_sqm / area_basis	With its measurement basis
property_type / price_band	Segment dimensions
status / status_changed_at	Events, not a state
address_precision	As published. Never sharpened
agent_name	A commercial entity

Use cases

What teams do with Immowelt data

Deciding whether the second portal is worth collecting

Unique listing share broken out by region, type and price band, since overlap is rarely uniform and one figure hides the parts where a second portal actually adds something.

Regional agent behaviour

Which portal regional agents list on, visible from unique share by region rather than from a national overlap number.

German rental analysis

Cold rent and Nebenkosten as separate fields with no computed warm rent, so a rental series reflects what listings display rather than an assumed total.

Energy rating as a pricing variable

EPC class and value as published, which in the German market is a real input to pricing rather than a disclosure footnote.

The 24-hour sample — run on your sources, not ours

Send us a Immowelt item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Immowelt is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Immowelt data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what real estate data covers, and a Immowelt-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Immowelt data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Only if it carries listings the leader does not, and that is measurable. We report unique listing share before quoting.

Overlap is rarely uniform — it differs by region, property type and price band — so one figure hides the parts where the second portal actually adds something.

We say so and recommend collecting the difference rather than a second full panel.

Selling a duplicate panel is the kind of thing a vendor benefits from and a client does not.

Because additional costs vary and an estimate would be a model sitting in a price column. German listings separate cold rent from Nebenkosten, and a folded figure is not what either the listing or a tenant sees.

Where the listing displays a warm rent we capture it as displayed.

Because German living-area measurement follows conventions that differ from other markets. A cross-border area comparison without the basis compares different measurements.

The basis travels with every area figure.

Yes, as published, with the class and value where shown and unstated where not. In this market it is a real pricing variable rather than a disclosure footnote.

We quote individually, and where you already collect the German leader the right programme is frequently the difference rather than the whole.

One scoping call, a free pilot within 24 hours including unique listing share by region, then a fixed monthly quote. Request a quote.

See real Immowelt data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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