Immowelt Scraper — German Real Estate Listings

What does Immowelt Scraper do?

Immowelt Scraper extracts structured property data from immowelt.de — including full descriptions and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ♻️ 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.
• 🔔 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 immowelt.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.
• 📋 Detail enrichment — two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
• 📧 Email + phone extraction — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as extractedEmails[] and extractedPhones[] on every record.
• 🎯 Batch searches — run multiple search variants in one job — shared dedup, single dataset for compare/diff downstream.
• 📦 Compact mode — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from immowelt.de?

Each result includes Core listing fields (listingId, onlineId, title, url, portalUrl, distributionType, estateType, and estateSubtypes, and more) and detail fields when enrichment is enabled (description, descriptionHtml, priceDetails, and detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — City, region, or postal area to search (e.g. "Berlin", "München", "Charlottenburg"). Use a JSON array for several. Equivalent to the City field — use whichever you prefer.
• city — City or region to search in (e.g. "Berlin", "München", "Hamburg"). Use a JSON array for multiple locations. Same effect as the Search Term field.
• country — Which Immowelt market to search. (default: "DE")
• radiusKm — Extend the search beyond the city boundary by this many kilometres. Requires a city. 0 = city boundary only. (default: 0)
• location — Legacy field. Use 'City / Location' instead.
• startUrls — Immowelt listing URLs (e.g. https://www.immowelt.de/expose/2pg5u5z). Scrapes those specific listings directly. For broad searches use a city + filters instead.
• distributionType — Filter by sale, rent, or both. (default: "buy")
• estateType — Filter by property type. (default: "apartment_and_house")
• estateSubtypes — Optional finer property subtypes (e.g. MAISONETTE, PENTHOUSE, TERRACED_HOUSE). Leave empty for all subtypes.
• priceMin — Only listings priced at or above this amount.
• priceMax — Only listings priced at or below this amount.
• areaMin — Only listings with living area at or above this size.
• ...and 31 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "Berlin",
  "maxResults": 50
}

Incremental tracking — Only emit properties that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "Berlin",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "berlin-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "Berlin",
  "maxResults": 50,
  "compact": true
}

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

{
  "listingId": "24001fc7-013b-4296-98eb-dbc802b393fe",
  "onlineId": "2qu6j5a",
  "title": "10 % Rendite - herrliches Mehrfamilienhaus in Bestlage, das komplett vermietet übergeben werden kann.",
  "url": "https://www.immowelt.de/expose/2qu6j5a",
  "portalUrl": "https://www.immowelt.de/expose/2qu6j5a",
  "distributionType": "SALE",
  "estateType": "HOUSE",
  "estateSubtypes": [
    "MULTI_FAMILY_HOUSE"
  ],
  "estateGroups": [
    "RESIDENTIAL"
  ],
  "price": 11000000,
  "priceMin": 11000000,
  "priceMax": 11000000,
  "priceCurrency": "EUR",
  "priceType": "PURCHASE_PRICE",
  "prices": [
    {
      "amountMin": 11000000,
      "amountMax": 11000000,
      "type": "PURCHASE_PRICE",
      "currency": "EUR"
    }
  ],
  "livingAreaSqm": 8450,
  "plotAreaSqm": 2300,
  "pricePerSqm": 1301.78,
  "roomsMin": null,
  "roomsMax": null,
  "constructionYear": 1910,
  "isNew": true,
  "isCommissionFree": null,
  "features": [
    "OLD_BUILDING",
    "GARDEN_PART",
    "FULLY_CELLARED",
    "HERITAGE_PROTECTION_DEPRECIATION",
    "RESTRUCTURING_DEPRECIATION"
  ],
  "city": "Berlin",
  "district": "Charlottenburg",
  "postalCode": "10719",
  "street": null,
  "latitude": 52.499295,
  "longitude": 13.316199,
  "geohash": "u336xj0w9cvt",
  "isAddressAnonymized": true,
  "locationIds": [
    529449,
    529870,
    528418,
    499885,
    26058105,
    150696,
    113886,
    121726
  ],
  "lowestLevelLocationId": 499885,
  "pictures": [
    {
      "url": "https://ms.immowelt.org/d555c645-5fd9-4fc7-bdfd-af50b6f8372d/77c198cd-0519-48e4-9695-95b80a4a16b4",
      "description": "sanierter Altbau, 10 % Ist-Rendite"
    }
  ],
  "imageCount": 1,
  "broker": {
    "name": "MRE Müller Real Estate Berlin",
    "sellerType": "PARTNER",
    "partnerAward": null,
    "immoweltExclusive": false,
    "logoUrl": "https:",
    "guid": 2416475
  },
  "updatedAt": "2026-06-08T02:19:52.040Z",
  "description": "Mehrfamilienhaus, Bestzustand\nAltbauklassiker (Wohn- und Geschäftshaus). Das Haus kann in Zukunft bei Bedarf erweitert werden, es besteht jedoch kein Änderungsbedarf. Das Gebäude selbst hat eine exzel...",
  "descriptionHtml": null,
  "headline": "10 % Rendite - herrliches Mehrfamilienhaus in Bestlage, das komplett vermietet übergeben werden kann.",
  "energy": {
    "class": null,
    "consumption": null,
    "source": null,
    "heatingType": null
  },
  "contactPhone": null,
  "contactEmail": null,
  "extractedEmails": [],
  "documents": [],
  "hardFacts": [
    {
      "label": "Kaufpreis",
      "value": "11000000 EUR"
    },
    {
      "label": "Wohnfläche",
      "value": "8450 SQM"
    },
    {
      "label": "Zimmer",
      "value": "k.A."
    },
    {
      "label": "Grundstücksfl.",
      "value": "2300 SQM"
    }
  ],
  "priceDetails": [
    {
      "label": "Kaufpreis",
      "value": "11000000 EUR"
    }
  ],
  "referenceNumber": null,
  "sourceCountry": "DE",
  "scrapedAt": "2026-06-08T04:23:22.591Z",
  "detailFetched": true,
  "contentHash": "763e8fdf2a97d93fb165543fac14140901f6c11ac516d40f39fef53b8cdc913a",
  "changeType": null,
  "trackedHash": null,
  "firstSeenAt": null,
  "lastSeenAt": null,
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": null,
  "isRepost": null,
  "repostOfId": null,
  "repostDetectedAt": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape immowelt.de

1. Go to Immowelt Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract property data from immowelt.de for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape immowelt.de?

Immowelt 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: $0.005 per run
• Per result: $0.0009 per property record

Example costs:

• 10 results: $0.01
• 25 results: $0.03
• 100 results: $0.1
• 200 results: $0.18
• 500 results: $0.46

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	$0.10	$0.0095	$0.09 (90%)	$0.28
15% — moderate broad query	$0.10	$0.02	$0.08 (81%)	$0.55
30% — high-volume aggregator	$0.10	$0.03	$0.06 (66%)	$0.96

Full re-scrape monthly cost at daily polling: $2.85. First month with incremental costs $0.37 / $0.63 / $1.02 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 immowelt.de?

The number of results depends on the search query and available listings on immowelt.de. Use the maxResults parameter to control how many results are returned per run.

Does Immowelt 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 Immowelt Scraper with other apps?

Yes. Immowelt 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 Immowelt 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 Immowelt 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 immowelt.de?

This actor extracts publicly available data from immowelt.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.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

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