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ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive

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[From 💰$1.14] ImmobilienScout24 .de/.at/.ch: search, expose detail and Makler profiles, 100+ fields. Every recorded price cut and days on market per listing, plus optional AI market analysis that scores each postcode for ROI, cashflow, payback and regulatory risk.

Pricing

from $1.14 / 1,000 results

Rating

5.0

(9)

Developer

Muhamed Didovic

Actor stats

Bookmarked

636

Total users

153

Monthly active users

0.96 hours

Issues response

5 hours ago

Last modified

Categories

Real estate

Lead generation

MCP servers

You can access the ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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      "inputSchema": {
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        "properties": {
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "URLs to scrape. **Germany:** search (`.../Suche/...`), expose (`.../expose/{id}`), **makler profile** (`.../anbieter/profil/{slug}`) — loads **residential BUY then RENT** listings via the agency API and merges `clientFields` + full mobile expose JSON. If the profile HTML is blocked, add `?realtorEncryptedId=...` (opaque id from `.../anbieter/contact/{slug}/{id}`, often ~32 chars). **Austria:** `immobilienscout24.at/regional/...`. Mix `.de` / `.at` in one run.",
            "items": {
              "type": "string"
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          "maxItems": {
            "title": "Max results (safety cap — leave empty to scrape everything)",
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            "description": "Optional safety cap. Stops after roughly this many listings across all Start URLs. **Leave empty (the default) to scrape the full result set** — that is the normal behaviour and what most runs should do. Use it to test a URL cheaply before committing: a broad search can return 90,000+ listings (≈ $157 at $1.75/1,000), so set a small number first if you are unsure how big your search is. Note: capping a run <b>disables removed-listing detection</b> for that search, because detecting removals requires enumerating the complete result set."
          },
          "monitoringMode": {
            "title": "Monitoring mode — only scrape listings new since the last run",
            "type": "boolean",
            "description": "If checked, it will only scrape newly listings compared to what has been scraped in previous runs. Seen-listing state is kept per search URL, so keep the same startUrls between runs. Monitoring checks are billed at the cheaper additional-data rate ($0.50/1k), not the full result rate.",
            "default": false
          },
          "detectRemovedListings": {
            "title": "Also report removed (delisted) listings",
            "type": "boolean",
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            "default": false
          },
          "detectPriceChanges": {
            "title": "Also report price changes (+ days-on-market)",
            "type": "boolean",
            "description": "Monitoring add-on. When on together with **monitoringMode**, each run compares every listing's current price against the price stored from the previous run and reports movements as `{ status: \"price_changed\", listingId, oldPrice, newPrice, priceDelta, pctChange, direction, isPrivate, firstSeenAt, url, searchUrl, market, detectedAt }` rows. Written to a **separate named dataset** `changes-<runId>` (not the main default dataset) and billed at the cheaper `additional-data` rate ($0.50/1k) — not the $1.75/1k result rate. No detail fetch is needed (price is read from the search list), so tracking a whole market's prices stays cheap. When **detectRemovedListings** is also on, removed rows additionally get `firstSeenAt` + `daysOnMarket`. Unlike removal detection this isn't limited by the page cap — a price diff is observed per-listing. Off by default.",
            "default": false
          },
          "instantAgencyDatabase": {
            "title": "⚡ Agency DB · use instant database",
            "type": "boolean",
            "description": "Serve agencies from the pre-collected directory database instead of live-scraping. Auto-enabled if you set any agency filter below.",
            "default": false
          },
          "dbPostalCodes": {
            "title": "⚡ Agency DB · office postal codes",
            "type": "array",
            "description": "Return agencies whose office is in these German postal codes — e.g. 13591, 13589, 10115. Any number at a time.",
            "items": {
              "type": "string"
            }
          },
          "dbCity": {
            "title": "⚡ Agency DB · city contains",
            "type": "string",
            "description": "Return agencies whose office city contains this text (case-insensitive), e.g. Berlin."
          },
          "dbAgencyNameContains": {
            "title": "⚡ Agency DB · agency name contains",
            "type": "string",
            "description": "Return agencies whose name contains this text (case-insensitive), e.g. Pilatus. Works without a location."
          },
          "dbMinListings": {
            "title": "⚡ Agency DB · minimum live listings",
            "type": "integer",
            "description": "Only agencies with at least this many current live listings (available only for agencies whose listing count we've recorded)."
          },
          "directoryLocations": {
            "title": "🔎 Agency directory · postal codes or cities",
            "type": "array",
            "description": "Filling this in runs the live-directory mode (no toggle needed). One or more German postal codes (e.g. `13591`) and/or city names (e.g. `Berlin`, `München`) — dozens at a time. Each returns the agencies registered/operating in that area, with full office contact details.",
            "items": {
              "type": "string"
            }
          },
          "directoryAgencyName": {
            "title": "🔎 Agency directory · name filter (optional)",
            "type": "string",
            "description": "Only return agencies whose name contains this text, case-insensitive — e.g. `Pilatus`. Combine with the postal codes / cities above to pinpoint a specific agency in an area."
          },
          "includeListingCount": {
            "title": "🔎 Agency directory · include live listing count",
            "type": "boolean",
            "description": "Also fetch how many properties each agency currently has live (split into buy + rent). Slower — an extra lookup per agency. Off by default.",
            "default": false
          },
          "instantDatabase": {
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            "type": "boolean",
            "description": "Serve agents from the database instead of live-scraping. Auto-enabled if you set Agency name below.",
            "default": false
          },
          "dbAgencyName": {
            "title": "👤 Agent DB · agency name contains",
            "type": "string",
            "description": "e.g. Engel & Völkers. Optional. Filters the Instant Agent Database to agents whose agency name contains this text (case-insensitive); setting it auto-enables Instant Database mode."
          },
          "dbHasPhone": {
            "title": "👤 Agent DB · only agents with a phone",
            "type": "boolean",
            "description": "Only return agents that have a direct phone number on file (about 1 in 2 does). Records delivered with a phone bill the small contact-phone event; records without one never do.",
            "default": false
          },
          "instantListingsDatabase": {
            "title": "Serve from the price-history archive (no scraping)",
            "type": "boolean",
            "description": "Returns archive rows instead of running a crawl. Each row carries the listing plus priceCuts, daysOnMarket, totalPriceChangePct and a full priceHistory timeline. Billed per result like a normal run.",
            "default": false
          },
          "archiveMinPriceCuts": {
            "title": "Only listings cut at least N times",
            "type": "integer",
            "description": "The motivated-seller filter. 2 or 3 surfaces sellers who have already dropped the price repeatedly."
          },
          "archivePriceCutDays": {
            "title": "…and cut within the last N days",
            "type": "integer",
            "description": "Restrict to listings with a price cut in this window, so you get current movement rather than old history."
          },
          "archiveCity": {
            "title": "City",
            "type": "string",
            "description": "e.g. Berlin, München, Leipzig. Leave empty for all 36 tracked cities."
          },
          "archiveMarket": {
            "title": "Country",
            "type": "string",
            "description": "DE, AT or CH. Leave empty for all."
          },
          "archiveType": {
            "title": "Property type",
            "type": "string",
            "description": "apartmentbuy, apartmentrent or housebuy. Leave empty for all."
          },
          "archiveMinPrice": {
            "title": "Min price",
            "type": "integer",
            "description": "In EUR/CHF."
          },
          "archiveMaxPrice": {
            "title": "Max price",
            "type": "integer",
            "description": "In EUR/CHF."
          },
          "archiveMinRooms": {
            "title": "Min rooms",
            "type": "integer",
            "description": ""
          },
          "archiveMinDaysOnMarket": {
            "title": "Min days on market",
            "type": "integer",
            "description": "Listings that have been sitting for a while. Often the ones open to an offer."
          },
          "archiveIncludeRemoved": {
            "title": "Include listings that already left the market",
            "type": "boolean",
            "description": "Adds sold/withdrawn listings with their final price and total days on market. Useful for comps.",
            "default": false
          },
          "archivePriceHistory": {
            "title": "Attach the full price timeline",
            "type": "boolean",
            "description": "Every recorded cut with date, old price, new price and percentage. On by default.",
            "default": true
          },
          "marketAnalysis": {
            "title": "🧠 AI Market Analysis + Deal Scoring per area ($0.15/area, cached)",
            "type": "boolean",
            "description": "If enabled, appends a `rowType: \"marketAnalysis\"` row per area found in your results (up to 8 areas per run, largest first). Each row carries the area's market intelligence AND a `deals` array (every scored listing: ROI %, cashflow, payback, strategy, flags) plus a `dealsSummary` (best clean deal). Billed per area row delivered via the `market-analysis` event — the deal scoring is included at no extra charge. Never charged when analysis fails or signal is too thin.",
            "default": false
          },
          "excludeSections": {
            "title": "Exclude the `sections` block",
            "type": "boolean",
            "description": "Drop the per-listing `sections` array from each dataset row. This is the largest part of the payload (~70% of DE rows). The key data inside it — finance costs, image captions, available-from, fair-price rating — is already lifted into `normalized` (financeCosts, media[].caption, availableFrom, fairPrice). Turn this on to dramatically shrink output if you only consume the `normalized` block + a few `basicInfo` fields.",
            "default": false
          },
          "excludeZipCodeShapes": {
            "title": "Exclude `zipCodeShapes` (map polygons)",
            "type": "boolean",
            "description": "Drop just the `zipCodeShapes` polygon coordinates inside sections (typically 4-5 KB per listing of map polygon geometry you don't need unless you're rendering maps). Independent of `excludeSections` — surgical strip that keeps the rest of sections.",
            "default": false
          },
          "excludeTracking": {
            "title": "Exclude the `tracking` block",
            "type": "boolean",
            "description": "Drop the per-listing `tracking` object. Small (~500 B) but rarely useful to downstream consumers.",
            "default": false
          },
          "allowApproximateCoords": {
            "title": "Allow approximate (cluster-center) coordinates",
            "type": "boolean",
            "description": "OFF by default. With this off, `address.latitude/longitude` are filled only when ImmoScout returned a per-listing point (precise) — cluster-center coords (shared across many listings, off by hundreds of metres) are left null. Every coord-bearing row gets an `address.coordinatePrecision` tag ('exact' / 'approximate' / null) so downstream code can filter. Turning this ON fills in the cluster-center coords too, still flagged as 'approximate'.",
            "default": false
          },
          "geocodeAddresses": {
            "title": "Geocode decoded addresses for rooftop coordinates",
            "type": "boolean",
            "description": "OFF by default. When ON, listings whose street + house number we decoded (from `obj_telekomInternetUrlAddition` or the free-text description scan) but lack a per-listing coordinate are geocoded via the configured provider. Rooftop or street-level hits land in `address.latitude/longitude` with `coordinatePrecision: 'rooftop' | 'street'` and `coordinateSource: 'geocoder-photon' | 'geocoder-mapbox' | 'geocoder-google'`. City/locality-level hits are rejected as too coarse. Two-layer cache (in-memory + Apify KV `geocoder-cache`) keeps repeat addresses from re-hitting the provider.",
            "default": false
          },
          "geocoderProvider": {
            "title": "Geocoder provider",
            "enum": [
              "photon",
              "mapbox",
              "google"
            ],
            "type": "string",
            "description": "Which geocoder to use when `geocodeAddresses: true`. **Photon** (default, free, no key needed — Komoot's OSM-based service, ~10 req/sec). **MapBox** ($0.50 / 1k, higher rate, set `geocoderApiKey` to your `pk.…` token). **Google** ($5 / 1k, set `geocoderApiKey` to your Maps API key).",
            "default": "photon"
          },
          "geocoderApiKey": {
            "title": "Geocoder API key",
            "type": "string",
            "description": "API key for `geocoderProvider: 'mapbox'` or `'google'`. Ignored when using Photon. Stored in the run as a plaintext input — for production use Apify's input secrets feature."
          },
          "enrichEmails": {
            "title": "Enrich with contact emails (experimental, billed per email)",
            "type": "boolean",
            "description": "If enabled, finds a contact email for each result from its own website (or by discovering it from the name). Adds contactEmail + contactWebsite columns plus a detailed emailEnrichment object. Billed per contact email found; only charged when an email is returned, never for misses.",
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          },
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            "title": "💳 Qualify by payment (flag businesses that take money online)",
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            "description": "Requires \"Enrich with contact emails\". Scans each business's website — reusing the pages already fetched for email discovery, so no extra cost or time — for payment processors and e-commerce platforms (Stripe, Shopify, PayPal, Paddle, Lemon Squeezy, WooCommerce, Square, Chargebee and more). Adds takesPayments (is this a real paying business?), paymentProcessors (which stack), stripeLiveKey (the public key if exposed) and paymentConfidence. Turn raw contacts into monetization-qualified leads. No extra charge — included with each enriched company.",
            "default": false
          },
          "maxConcurrency": {
            "title": "Max Concurrency",
            "type": "integer",
            "description": "Maximum number of pages that can be processed at the same time.",
            "default": 10
          },
          "minConcurrency": {
            "title": "Min Concurrency",
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          },
          "maxRequestRetries": {
            "title": "Max Request Retries",
            "type": "integer",
            "description": "Number of times the crawler will retry a failed request before giving up.",
            "default": 100
          },
          "proxy": {
            "title": "Proxy configuration (optional override)",
            "type": "object",
            "description": "Leave empty — the actor already routes all traffic through its own built-in residential proxy at no extra cost to you. Only set this if you want to use your own proxies."
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            }
          }
        }
      }
    }
  }
}

Immobilienscout24 Scraper — ImmoScout24 ImmobilienScout24 OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive API in Python

ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive API in JavaScript

ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive API through CLI

ImmoScout24 ImmobilienScout24 .de|.ch|.at + Price-Cut Archive API

ImmobilienScout24 ImmoScout24 Scraper [From $0.7💰]

azzouzana/immobilienscout-immoscout-scraper

From $0.7/1K 💰Scrape ImmoScout24 & Immobilienscout24 search results for Germany, Austria & Switzerland. Paste a search URL, filter buy/rent, export JSON, CSV or Excel with price, sqm, rooms, photos, contacts & more. DACH market analysis & leads.

Azzouzana

437

5.0

ImmobilienScout24 Scraper - Real Estate Germany

igolaizola/immobilienscout24-scraper

Scrape ImmoScout24 listings in Germany for buy and rent. Filter by location, property type, price, rooms, size, energy class and more. Export clean JSON or CSV for market research, analytics, lead generation, and real estate monitoring.

Iñigo Garcia Olaizola

Immobilien Export Pro - ImmoScout24, Kleinanzeigen, Immowelt

clearpath/immobilien-export-pro

70.000+ deutsche Kaufimmobilien von ImmoScout24, Kleinanzeigen & Immowelt. Preisverlauf, Kontaktdaten, Löschungen, Koordinaten. Echtzeit-Daten, plattformübergreifende Deduplizierung. Export als JSON, CSV, Excel oder via API.

ClearPath

127

ImmoScout24 ImmobilienScout24 Scraper (API) Pro - 50+ Felder

clearpath/immoscout24-api-pro

Über 1.000 ImmoScout24-Inserate pro Minute mit 50+ Datenfeldern: Maklerkontakte, Telefonnummern, Preise, Investment- & Energiedaten, Grundrisse & Bilder. Wohnungen, Häuser & Gewerbe zum Mieten und Kaufen, deutschlandweit. Monitor-Modus mit Telegram-Alerts. Export als CSV, JSON oder Excel.

ClearPath

210

🏡 ImmoScout24 Detail Scraper 300ms/req | ImmobilienScout24

clearpath/immoscout24-detail-listing-scraper

Vollständige Immobiliendetails aus ImmoScout24-URLs: Preise, Zimmer, Fläche, Adresse, Ausstattung, Energiedaten und Maklerkontakt mit Telefonnummer. Bis zu 10.000 Inserate pro Lauf. Export als CSV, JSON oder Excel.

ClearPath

182

Kleinanzeigen Immobilien Scraper Pro - 1000/Min

clearpath/kleinanzeigen-immobilien-api-pro

Schnellster Kleinanzeigen Immobilien Scraper: 1000 Inserate mit allen Details in unter einer Minute. Mietwohnungen, Eigentumswohnungen, Häuser, WGs und mehr. Filter nach Ort, Preis, Zimmer, Fläche. Monitor-Modus trackt neue Inserate mit Telegram-Alerts.

ClearPath

Kleinanzeigen Scraper

crawlerbros/kleinanzeigen-scraper

Scrape classified listings from Kleinanzeigen.de (formerly eBay Kleinanzeigen). Extract listing details including title, price, description, location, seller info, images, and category-specific attributes.

Crawler Bros

5.0

Ebay Kleinanzeigen Scraper

lexis-solutions/ebay-kleinanzeigen

The eBay Kleinanzeigen Scraper retrieves public listings and data based on specific search criteria or direct URLs. / Der eBay Kleinanzeigen Scraper ruft öffentliche Anzeigen und Daten basierend auf spezifischen Suchkriterien oder direkten URLs ab.

Lexis Solutions

588

4.7

Kleinanzeigen.de | $1.5💰 | Scraper (Richest output)[PPE]

memo23/kleinanzeigen-search-scraper-ppe

💰$1.5 per 1,000 results, extract detailed listings from Kleinanzeigen.de, saving you time by automating data collection for property, product, and service ads. It helps in market analysis, competitor research, and lead generation, providing accurate and timely insights from Germany's platforms.

Muhamed Didovic

218

5.0

LoopNet Scraper (It works) - US & UK

azzouzana/loopnet-scraper

From $0.7/1K 💰 Fast Loopnet.com & Loopnet.co.uk NO-CODE scraper ⚡ Sale, lease, auctions & businesses for sale. Search or full detail pages: pricing, financials, location, facts, taxes, POI, Income, demographics, highlights, amenities, brokers, media & much more! JSON/CSV/API. AI agents ready 🚀

Azzouzana

5.0