Immowelt Scraper — German Real Estate Listings with Broker Data

What does Immowelt Scraper do?

Immowelt Scraper extracts structured property data from immowelt.de — including pricing data, contact details, company metadata, 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, company profiles, and contact information) where the source provides them.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions, company profiles, and contact information where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from immowelt.de?

Each result includes core listing fields (jobId, title, location, street, district, postalCode, salaryText, rooms, areaSqm, pricePerSqm, and more), property detail fields (plotSize, floor, availableFrom, buildingState, yearOfConstruction, heatingType, energySource, energyClass, energyConsumption), listing flags (isAddressPublished, isPrivateOwner, hasBrokerageFee, isNewBuild, isExclusive, has3DVisit), media (images[], imageCount), contact information (contactPhone, extractedEmails), and company metadata (company, companyUrl). 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 (includeDetails: true) to get full descriptions, property specs, energy data, and images.

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 — Property search keywords. Use JSON array for multi-query. Leave empty when using city or startUrls.
• city — City name to scope the search (e.g. "Berlin", "München"). Use JSON array for multiple cities. Takes precedence over keyword search for location scoping.
• country — Which immowelt.de market to search. (default: "DE")
• location — City, district, or region filter for keyword searches. Use JSON array for multi-location.
• startUrls — Direct Immowelt search URLs or expose URLs.
• maxResults — Maximum total property listings to return (0 = unlimited). Dynamic memory profile: up to 25 results uses 1024 MB, 26+ results uses 2048 MB. (default: 25)
• maxPages — Maximum search-result pages to scrape per search source. (default: 5)
• includeDetails — Fetch each expose page for full description, price data, and provider info. (default: true)
• transport — Choose the standard fetch mode or browser mode for tougher pages. (default: "browser")
• proxyCountryCode — Country code to use for browser-mode sessions.
• includeCompanyProfile — Fetch provider profile pages for broker metadata when available. (default: false)
• descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
• compact — Output only core fields (for AI-agent/MCP workflows). (default: false)
• ...and 5 more parameters

Input examples

City search — Scope the search to a specific city by name.

→ Returns listings from that city only, using Immowelt's location IDs internally.

{
  "city": "Berlin",
  "distributionType": "buy",
  "estateType": "apartment",
  "maxResults": 50
}

Basic keyword search — Keyword-driven search across Germany.

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

{
  "query": "altbau balkon",
  "location": "Berlin",
  "maxResults": 50
}

Incremental tracking — Only emit jobs 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": "altbau balkon",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "altbau-balkon-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": "altbau balkon",
  "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

{
  "jobId": "676e69dc0aef38d4f6646e63fc843a97640f326a4f8678dd9c346029fb143271",
  "jobKey": "22fd0ea2-0cbe-42a2-86e3-3a2082b4aa93",
  "title": "Diese gepflegte 3-Zimmer-Etagenwohnung befindet sich im 1. Obergeschoss eines im Jahr 1926 in solider Massivbauweise err",
  "company": "Herr Tobias Gruschla",
  "companyUrl": "https://www.immowelt.de/profil/39c37594d05c416095d0485812f037c6",
  "location": "Berlin",
  "street": "Pichelsdorfer Straße 30",
  "district": "Spandau",
  "postalCode": "13595",
  "description": "Diese gepflegte 3-Zimmer-Etagenwohnung befindet sich im 1. Obergeschoss eines im Jahr 1926 in solider Massivbauweise errichteten Mehrfamilienhauses, welches zur historischen Siedlung Birkenwäldchen ge...",
  "descriptionHtml": "Diese gepflegte 3-Zimmer-Etagenwohnung befindet sich im 1. Obergeschoss eines im Jahr 1926 in solider Massivbauweise errichteten Mehrfamilienhauses, welches zur historischen Siedlung Birkenwäldchen ge...",
  "descriptionLength": 4467,
  "salaryText": "255000 EUR",
  "salaryMin": 255000,
  "salaryMax": 255000,
  "salaryCurrency": "EUR",
  "salaryType": null,
  "rooms": 3,
  "areaSqm": 62.63,
  "plotSize": null,
  "floor": 1,
  "pricePerSqm": 4071.53,
  "availableFrom": null,
  "propertyType": "APARTMENT",
  "marketingType": "BUY",
  "buildingState": "WELL_MAINTAINED",
  "yearOfConstruction": 1926,
  "heatingType": "CENTRAL_HEATING",
  "energySource": "GAS",
  "energyClass": "E",
  "energyConsumption": 142.5,
  "isAddressPublished": true,
  "isPrivateOwner": false,
  "hasBrokerageFee": false,
  "isNewBuild": false,
  "isExclusive": false,
  "has3DVisit": false,
  "images": [
    "https://pictures.immowelt.de/...jpg"
  ],
  "imageCount": 12,
  "contactPhone": null,
  "latitude": 52.516151428222656,
  "longitude": 13.197739601135254,
  "url": "https://www.immowelt.de/expose/22fd0ea2-0cbe-42a2-86e3-3a2082b4aa93",
  "canonicalUrl": "https://www.immowelt.de/expose/22fd0ea2-0cbe-42a2-86e3-3a2082b4aa93",
  "portalUrl": "https://www.immowelt.de/expose/22fd0ea2-0cbe-42a2-86e3-3a2082b4aa93",
  "sourceUrl": "https://www.immowelt.de/expose/22fd0ea2-0cbe-42a2-86e3-3a2082b4aa93?serp_view=list&search=distributionTypes%3DBuy%2CBuy_Auction%2CCompulsory_Auction%26estateTypes%3DApartment%26locations%3DAD08DE8634&...",
  "sourceCountry": "DE",
  "sourceDomain": "www.immowelt.de",
  "searchQuery": "https://www.immowelt.de/classified-search?distributionTypes=Buy,Buy_Auction,Compulsory_Auction&estateTypes=Apartment&projectTypes=New_Build,Investment,Projected,Resale&locations=AD08DE8634&page=1",
  "searchUrl": "https://www.immowelt.de/classified-search?distributionTypes=Buy,Buy_Auction,Compulsory_Auction&estateTypes=Apartment&projectTypes=New_Build,Investment,Projected,Resale&locations=AD08DE8634&page=1",
  "isSponsored": false,
  "scrapedAt": "2026-04-03T11:58:18.549Z",
  "fetchedAt": "2026-04-03T11:58:18.549Z",
  "detailFetched": true,
  "contentQuality": "full",
  "extractedEmails": [],
  "changeType": null,
  "trackedHash": null,
  "firstSeenAt": null,
  "lastSeenAt": null,
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": 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, contact info, or company data.
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.
• Build outreach lists using contact details and apply URLs from listings.
• Research broker and agency profiles, provider coverage, and market distribution.
• 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
• 100 results: $0.1
• 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 and descriptionMaxLength 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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