immowelt-searchSearch immowelt.at and immowelt.de real estate listings (apartments, houses) via HTML parsing. No browser needed. Search any Austrian or German location with...
Install via ClawdBot CLI:
clawdbot install mihaimacarie98/immowelt-searchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.immowelt.atAudited Apr 17, 2026 · audit v1.0
Generated May 24, 2026
A real estate investor scans listings in multiple Austrian/German cities to compare prices, property conditions, and energy efficiency. They filter by budget, room count, and location to find undervalued properties. The expose details help assess renovation costs and long-term energy savings.
A person moving to Vienna or Munich searches for rental apartments with specific room counts and max price. They retrieve listing details to evaluate heating types and building conditions before scheduling viewings. This aids in budgeting and comparing neighborhoods.
A small real estate agency monitors competitor listings and market trends by running regular searches across locations. They extract JSON data to feed into internal dashboards, tracking price changes and new inventory. This helps them advise clients better.
An energy consultant gathers data on HWB (heating demand) and fGEE (total energy efficiency factor) from recent listings in a region. They analyze typical energy classes and construction years to identify trends. This informs recommendations for sustainable building standards.
A mortgage lender collects listings with full details to estimate property values and condition-based risks. They correlate energy class with loan eligibility and predict maintenance costs. This helps in underwriting and product development.
Aggregate and structure listing data from immowelt into a clean API or dataset sold to property tech companies, investors, or analysts. Offer enriched fields like energy class and condition. Revenue comes from subscription tiers or per-query fees.
Use the scraped data to provide automated property valuations comparing similar listings. Charge per valuation report for home sellers or buyers. Combine with other data sources for accuracy.
Monitor listings matching user-defined criteria (price, location, features) and send real-time alerts via email or webhook. Charge a monthly subscription for the alert service. Upsell premium filters like energy class or building condition.
💬 Integration Tip
Run the script via CLI with `--format json` and pipe output into your application for easy parsing. Use `--with-details` only when you need energy and heating data, as it adds ~300ms delay per listing.
Scored May 24, 2026
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