Ohne-Makler Property Prices Scraper

Retrieve residential price-report sections from Ohne-Makler by German state slug. The response contains headings, tables, available charts, and locality information for the report.

What data can you extract?

Field	Type	Description
success	Boolean	True when the Ohne-Makler request returned a successful response.
market	String	Report type for local residential asking prices.
state	String	The source location name or code used to place this price report on Ohne-Makler.
city	String or null	The source location name or code used to place this price report on Ohne-Makler.
title	String	Name or title assigned to this Ohne-Makler price report.
intro	String	Introductory text summarizing the report coverage and market.
sections	Array<Object>	Ordered Ohne-Makler report sections with headings, rent or price tables, chart labels, and region rows.
input_state	String	State submitted to retrieve this price report.
scraped_at	String	UTC ISO 8601 timestamp when this dataset record was collected.

Use cases

• Housing analysts can compare state-level asking price information.
• Property investors can review tables and charts before selecting a market.
• Real estate writers can collect structured report sections for regional briefs.

How to use

1. Add one German state slug to states per report.
2. Optionally include a city slug when you need local tables and charts.
3. Set maxResults and export each report as one dataset record.

{
  "states": [
    {
      "state": "berlin"
    }
  ],
  "maxResults": 1
}

Input

Field	Type	Required	Description
states	Array<object>	Yes	German state URL slugs for Ohne-Makler residential price reports.
states[].state	string	Yes per entry	Bundesland slug (e.g. baden-wurttemberg).
states[].city	string	No	Optional city slug for locality price tables and charts.
city	string	No	Optional city slug for locality price tables and charts.
maxResults	integer	No	Maximum dataset items to save across this entire run.

Output example

{
  "success": true,
  "market": "immobilienpreise",
  "state": "berlin",
  "city": null,
  "title": "Residential prices in Berlin",
  "intro": "Residential asking prices and local indicators for the Berlin market.",
  "sections": [
    {
      "heading": "Apartment asking prices",
      "tables": [
        {
          "headers": [
            "Property type",
            "Median asking price"
          ],
          "rows": [
            [
              "Apartment",
              "4,850 EUR per m²"
            ],
            [
              "House",
              "5,420 EUR per m²"
            ]
          ]
        }
      ],
      "charts": [
        "Median asking price by property type"
      ],
      "regions": [
        {
          "path": "berlin-mitte",
          "name": "Berlin Mitte"
        }
      ]
    }
  ],
  "input_state": "berlin",
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$0.50 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set maxResults to cap the number of dataset items saved in one run.

FAQ

Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~ohne-makler-property-prices-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

Can I request city-level information?

Yes. Add a city slug alongside the state to request locality price tables and charts when the report provides them.

Related Scrappa Actors

• Ohne-Makler Rent Index Scraper
• Ohne-Makler Property Search Scraper
• ImmobilienScout24 Price Insights Scraper