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Immowelt Immobilien Listing Scraper

The Immowelt scraper turns Immowelt.de real estate search pages into a structured CSV export. Import the template into UScraper, replace the sample search URLs with the locations or property types you are researching, and collect listing titles, locations, prices, price per m2, rooms, area, agency text, new-build markers, energy classes, and item URLs in one local desktop app run.

Output

CSV

Columns

11

Input mode

Multi-URL

Waits

45s + pause

Template

Free import

At a glance

Export Immowelt listings to CSV

Turn search results into fixed columns

Use it for houses, apartments, land, rental pages, or buy searches. The CSV keeps price, location, rooms, floor area, agency, and detail URL fields in stable headers so analysts can filter without manual cleanup.

Run more than one search URL

Add URLs for Hamburg apartments, Munich houses, regional rentals, or "wohnungen Immowelt" searches. Loop Continue advances through each input while the pagination branch collects additional result pages.

Keep property research local

The stock workflow writes the structured export on your machine. It is useful when your team wants an Immowelt to CSV routine without sending query lists and property rows through a hosted scraping queue.

Handles common page friction

The automation includes cleanup for consent-style overlays and guarded next-page selection, so carousel next arrows are less likely to be mistaken for search pagination.

Who uses it

Immowelt data extraction use cases

Real estate analysts

Market snapshots

Favorable to scraping

Export asking prices, locations, rooms, area, and agency names for selected German cities, then compare segments such as apartments for sale, rental listings, or land searches in Sheets or Excel.

Buyer agents

Shortlist building

Favorable to scraping

Download Immowelt results for target locations and use the item URL column as the handoff list for manual review, client notes, and follow-up qualification.


How to use

Run the Immowelt scraper in five steps

From Immowelt search URL to spreadsheet

  1. 1

    Download and import

    Download the hosted Immowelt scraper JSON, then import it into UScraper.

  2. 2

    Replace the sample URLs

    Edit the Navigate block with the Immowelt search URLs you are allowed to review, such as buy, rent, houses, apartments, land, or city-specific searches.

  3. 3

    Let the page load and normalize

    UScraper opens each URL, waits for the page to finish loading, pauses for late-rendered cards, clears common overlays, and marks each detected property row.

  4. 4

    Export and paginate

    Structured Export appends the current page to CSV. If a valid next-page control exists, the workflow clicks it, waits again, and repeats the extraction path.

  5. 5

    Open and QA the CSV

    Review row counts, empty agency fields, duplicate item URLs, and unusual price formats before using the export in reporting or downstream models.

Output preview

What the Immowelt CSV export contains

immowelt-immobilien-listing-scraper.csv
CSV - UTF-8 - Append

Column

title

Listing title or primary card headline.

Column

standort

Postal code, city, or location line when shown.

Column

preis

Main asking price or rent, separated from price per m2.

Column

preis_m2

Displayed EUR per m2 value when available.

Column

finanzieren

Financing text or monthly finance estimate when present.

Column

zimmer

Room count parsed from visible listing text.

Column

flaeche

Living area or property area string, usually in m2.

Column

agency

Agency, company, or broker text detected on the card.

Column

ob_neu

New-build or first-occupancy marker.

Column

energy_performance_class

Energy class from A+ to H when visible.

Column

item_url

Detail page URL for manual review.

Sample rows

2 of many

titlestandortpreispreis_m2finanzierenzimmerflaecheagencyob_neuenergy_performance_classitem_url
Helle 3-Zimmer-Wohnung mit Balkon24103 Kiel329.000 EUR4.700 EUR / m2Ab 1.250 EUR / Monat finanzieren370 m2Nord Immobilien GmbHC
Neubau-Reihenhaus in ruhiger Lage36037 Fulda589.000 EUR3.950 EUR / m25149 m2Beispiel Makler AGyesB
Headers included - one row per visible property card - additional pages append underneath

For broader discovery, browse the UScraper template library, install the UScraper desktop app, or compare this workflow with the Lamudi Listing Scraper for another real estate listing export pattern.


Frequently asked questions

Immowelt pages can be public and still governed by Immowelt terms, robots directives, copyright, database rights, privacy law, and anti-abuse controls. Keep collection narrow, respect access restrictions, avoid bypassing verification, and get legal review before resale, enrichment, monitoring, or outreach.

Before you run

Practical limits and maintenance

Guardrails for reliable Immowelt exports

Access

Consent and verification screens can block rows

The template attempts overlay cleanup for Usercentrics and DataDome-style blockers, but it should not be used to force through access controls. Clear approved prompts manually or reduce scope when the site asks for verification.

Rate limits

Keep batches modest

Avoid parallel runs and aggressive repetition. Immowelt may throttle unusual behavior, and slower pacing usually produces cleaner exports than a large unattended run started without a test.

Layout

Listing markup can change

If price, area, or agency columns go blank, inspect the latest page layout and refresh the workflow before relying on production exports.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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FAQ

Frequently asked questions

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]