ImmoScout24 Scraper 💰 $1.00/1K — Germany & Switzerland
Pricing
from $1.00 / 1,000 results
ImmoScout24 Scraper 💰 $1.00/1K — Germany & Switzerland
Scrape ImmoScout24 listings across Germany and Switzerland — apartments and houses, for sale or rent, with price, living area, rooms, images, coordinates and descriptions. Adds the German cold/warm rent breakdown, agent contacts, and incremental monitoring for new listings.
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from $1.00 / 1,000 results
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What does ImmoScout24 Scraper do?
ImmoScout24 Scraper extracts structured property listings across two markets from one actor: Germany via www.immobilienscout24.de and Switzerland via www.immoscout24.ch. Set country to DE or CH, search apartments or houses for sale or rent (or both at once), paste any ImmoScout24 URL directly, or pin a city with structured price / area / room / construction-year / feature filters and a search radius. Each result lands as a clean record with price, the full German rent breakdown, living space, room count, postal code, region, coordinates, images, and a description (plain / HTML / markdown) — ready for rate-tracking dashboards, CRM enrichment, market-comparison reports, or AI agents.
Swiss listings are especially rich: multilingual title and description (German, French, Italian, English, each flagged for machine translation), the lister and lead contact (agency/legal name, logo, profile URL, inquiry email/phone where published), Swiss federal building-register IDs (EGID/EGRID), and cross-platform reference IDs. Optional detail enrichment, incremental mode (track NEW / UPDATED / EXPIRED listings between runs), and notifications to Telegram, Discord, Slack, WhatsApp, or any webhook (n8n / Make / Zapier) round it out.
How to use this actor
- 👉 Register for a free Apify account — no credit card required.
- 🎉 Just click Sign up free on Apify → and complete a quick signup.
- 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
- ⏳ Scrape during the free trial, with no commitment or upfront payment required.
Key features
- 🌎 2-market coverage — one actor, both markets — Germany (
www.immobilienscout24.de) and Switzerland (www.immoscout24.ch) viacountry: DE|CH. Swiss listings add multilingual text (de/fr/it/en) and building-register IDs (EGID/EGRID). - ♻️ Incremental mode — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
- 💵 Structured pricing — full German rent breakdown, not just the headline figure: cold rent (Kaltmiete), warm rent (Warmmiete), service charge (Nebenkosten) and heating costs (Heizkosten) as separate fields, plus a derived price per m². Sale listings carry the purchase price and €/m². Filter with
priceMin/priceMax,areaMin/areaMax,constructionYearMin/Max, rooms, features and search radius. - 📧 Email + phone extraction — swiss listings expose the lister and lead contact — agency name, logo, and the inquiry email/phone where published.
- 🔔 Notifications — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
- 🔗 Paste-mode — paste any immobilienscout24.de URL — single-listing pages, search-results, or category SEO URLs. Build the filter you want in the browser, copy, paste; the actor parses every query param.
- 📝 Description format selection — pick a single description representation —
text,html, ormarkdown— and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format. - 📦 Compact mode — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
- 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
- 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
What data can you extract from immobilienscout24.de?
Each record describes one ImmoScout24 listing as flat, typed fields. Identity: listingId, exposeId, title, propertyType, marketingType, realtorName. Price: price, currency, pricePeriod, plus the German rent breakdown baseRent (Kaltmiete), totalRent (Warmmiete), serviceCharge (Nebenkosten) and heatingCosts (Heizkosten), with a derived pricePerSqm. Attributes: livingSpace, plotArea, numberOfRooms, numberOfBathrooms, floor, yearBuilt, condition, interiorQuality, isNewBuilding, amenities. Location: address, postalCode, city, region/canton, country, latitude, longitude (with coordinatesApproximate — German coordinates are a postcode-area centroid, Swiss are exact). Description comes as description (plain), descriptionHtml, and descriptionMarkdown — keep all or pick one via descriptionFormat.
Switzerland (country: CH) adds localizations (de/fr/it/en title + description with an isMachineTranslated flag), lister/lead fields (listerLegalName, listerLogoUrl, agentEmail, agentPhone), Swiss register IDs (bfsEgid, bfsEgrid), externalIds, images[], and createdAt/updatedAt.
Provenance includes sourceUrl, canonicalUrl, sourceDomain, and contentHash; incremental mode adds changeType, firstSeenAt, lastSeenAt, expiredAt. Fields populate only when ImmoScout24 publishes them — null is normal. Use excludeEmptyFields or compact to slim rows for AI pipelines.
Input
The main inputs are an optional location filter and a result limit. Additional filters and options are available in the input schema.
Key parameters:
country— ImmoScout24 market to scrape: Germany (DE, immobilienscout24.de) or Switzerland (CH, immoscout24.ch). Switzerland returns multilingual listings (de/fr/it/en), agent contacts, and Swiss building-register IDs. (default:"DE")location— Optional ImmoScout24 location slug or path segment. Example: berlin or berlin/charlottenburg. Leave empty in sitemap-detail mode to crawl the latest listings nationwide.language— Preferred language for Swiss listing text and search slugs (de/fr/it/en). Switzerland only; ignored for Germany. (default:"de")propertyType— Which property family to search. (default:"apartment")marketingType— Whether to search properties for sale or rent. (default:"buy")priceMin— Minimum price filter. Applied to Switzerland searches and Germany search URLs (Fast/Reliable modes); the default Germany sitemap mode filters by property/marketing type only.priceMax— Maximum price filter. See Min Price for where filters apply.roomsMin— Minimum number of rooms.areaMin— Minimum living area in square metres.constructionYearMin— Only include properties built in or after this year (Germany).sort— Order of results returned by the source (Germany). 'Newest first' pairs well with Incremental Mode for monitoring fresh listings.features— Only include listings that have ALL of these features (Germany). Supported tokens: balcony, builtinkitchen, garden, cellar, lift, parking, handicappedaccessible, guesttoilet.radiusKm— Search within this many kilometres of the location centre. Towns outside the built-in German city list are always searched by radius around their geocoded centre. Also applied to Switzerland.startUrls— Direct ImmoScout24 search URLs. Overrides the generated search path when provided.maxResults— Maximum total listings to return. This is the primary cost control — Apify charges per emitted record. Use this to cap your run cost regardless of how many listings the source has. (default:25)includeDetails— Fetch expose detail pages for description and additional property fields. (default:true)incrementalMode— Track listings across runs in a persisted state store. Each run classifies listings as NEW / UPDATED / UNCHANGED / EXPIRED and, by default, emits only NEW + UPDATED + REAPPEARED — ideal for monitoring a search for fresh listings. AddschangeType,firstSeenAt,lastSeenAtandexpiredAtto each record. (default:false)descriptionFormat— Pick a single description representation.allkeeps every variant;text/html/markdowndrop the others. (default:"all")compact— Return only the core listing fields. (default:false)- ...and 31 more parameters
Input examples
Berlin rentals — newest first, with balcony — Pin a city, sort by newest, and require features. German searches need no credentials.
→ Newest Berlin rental apartments with a balcony, each enriched with the full description, the Kaltmiete/Warmmiete rent breakdown, and the agent contact where published.
Monitor a search for new listings (incremental) — Re-run on a schedule with a fixed stateKey; only listings that are new or changed since the last run are emitted and billed.
→ First run builds the baseline. Later runs emit only NEW / UPDATED / REAPPEARED listings, with changeType, firstSeenAt and lastSeenAt. Set emitUnchanged: true to include the rest.
Buy and rent, apartments and houses, within 25 km — Search both marketing types and both property families in one run, and widen past a city centre with a radius. Any German town works — towns outside the built-in list are geocoded automatically.
→ Apartments and houses, for sale and to rent, within 25 km of Leipzig, capped at €600,000.
Switzerland — Zürich rentals with lead contacts — Set country to CH for multilingual text, agent contacts, and register IDs.
→ Zürich rentals with de/fr/it/en text, lead contact where published, EGID/EGRID, images.
Compact output for AI / agent pipelines — Trim each row to the core listing fields and truncate descriptions — designed for LLM context windows and MCP tools.
→ Token-light records with description capped at 400 characters and empty fields stripped.
Paste any ImmoScout24 URL — Build the search in your browser, copy the URL, and paste it here — your own filters are carried over.
→ All listings matching the pasted search URL; pagination is followed up to maxPages.
Output
Each run produces a dataset of structured property records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.
Example property record
Incremental fields
When incremental mode is on, each record also carries:
changeType— one ofNEW,UPDATED,UNCHANGED,REAPPEARED,EXPIRED. Default output coversNEW/UPDATED/REAPPEARED; setemitUnchanged: trueoremitExpired: trueto opt into the others.isRepost,repostOfId,repostDetectedAt— populated when a new listing matches the tracked content of a previously expired one. SetskipReposts: trueto drop detected reposts from the output.
How to scrape immobilienscout24.de
- Go to ImmoScout24 Scraper in Apify Console.
- Configure the input and optional location filter.
- Set
maxResultsto control how many results you need. - Enable
includeDetailsif you need full descriptions, contact info. - Click Start and wait for the run to finish.
- Export the dataset as JSON, CSV, or Excel.
Use cases
- Rental market tracking — sweep Berlin, Munich, Hamburg, or any German city on a schedule and feed structured price / rent-breakdown / living-space / room-count data into a time-series database for monthly rent-trend reports.
- Comparable-listing dashboards — pull every active apartment in a postal code and build neighbourhood-level price-per-square-metre comparables for valuation work.
- CRM enrichment — feed realtor names and listing references into your sales pipeline so leads arrive with property context already attached.
- Buy-side market intel — monitor new houses-for-sale across a German state, filter on price, living-space and construction-year ranges, and surface fresh opportunities the moment ImmoScout24 publishes them.
- AI / RAG pipelines — pipe listing descriptions (text, HTML, or markdown) into LLMs for property summarisation, amenity extraction, or agent-driven analysis. Use compact mode + description truncation to keep token usage predictable.
- Telegram / Discord / Slack alerting — get a notification on every run with the first N listings inline, so you can react before the rest of the market sees the listing on the website.
- Swiss lead generation — scrape immoscout24.ch with
country: CHto capture the lister and inquiry contact (email / phone where published) alongside multilingual descriptions, then route fresh leads into a CRM with incremental mode + notifications. - Cross-border DACH market intel — run the same query shape against Germany and Switzerland and union the two feeds (shared schema) for region-level price-per-square-metre comparisons.
How much does it cost to scrape immobilienscout24.de?
ImmoScout24 Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.
- Run start: $0.01 per run
- Per result: $0.001 per property record
Example costs:
- 10 results: $0.02
- 25 results: $0.035
- 100 results: $0.11
- 200 results: $0.21
- 500 results: $0.51
Example: recurring monitoring savings
These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.
Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.
| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---|---|---|---|
| 5% — stable niche query | $0.11 | $0.01 | $0.10 (86%) | $0.45 |
| 15% — moderate broad query | $0.11 | $0.03 | $0.08 (77%) | $0.75 |
| 30% — high-volume aggregator | $0.11 | $0.04 | $0.07 (64%) | $1.20 |
Full re-scrape monthly cost at daily polling: $3.30. First month with incremental costs $0.55 / $0.84 / $1.27 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.
Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.
FAQ
How many results can I get from immobilienscout24.de?
The number of results depends on the search query and available listings on immobilienscout24.de. Use the maxResults parameter to control how many results are returned per run.
Does ImmoScout24 Scraper support recurring monitoring?
Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.
Can I integrate ImmoScout24 Scraper with other apps?
Yes. ImmoScout24 Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.
Can I use ImmoScout24 Scraper with the Apify API?
Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.
Can I use ImmoScout24 Scraper through an MCP Server?
Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.
Is it legal to scrape immobilienscout24.de?
This actor extracts publicly available data from immobilienscout24.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.
Your feedback
If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.
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Getting started with Apify
New to Apify? Create a free account with $5 credit — no credit card required.
- Sign up — $5 platform credit included
- Open this actor and configure your input
- Click Start — export results as JSON, CSV, or Excel
Need more later? See Apify pricing.
