🇩🇪 Kleinanzeigen Scraper: Ads, Prices, Location, No Login

⚡ Plain HTTP. No login, no API key, no proxy, no browser.

💸 You are only charged for a listing that actually lands in your dataset. Blocked or empty pages are never billed.

Overview

Kleinanzeigen Scraper turns any Kleinanzeigen search into structured rows. Paste a search or category URL straight from the site, filters and all, and get back the ad ID, title, price as a real number, postal code, location, description, attribute tags, image and a direct link.

Kleinanzeigen (formerly eBay Kleinanzeigen) is Germany's dominant classifieds site, so one actor covers property, vehicles, jobs and general goods rather than a single vertical.

✅ Any search or category URL · ✅ Prices as numbers, not strings · ✅ Pagination handled · ✅ MCP-ready for AI agents

Prices come back as numbers

German price formatting uses a full stop as the thousands separator, so 1.250 € naively parsed gives 1.25. That is a real bug in more than one scraper, and it silently corrupts every filter and average you build on top.

This actor returns both:

• price_raw exactly as the site shows it, for example 1.250 € VB
• price as a clean integer, 1250

It also captures the two states that are not a price at all, rather than dropping them:

• is_free when a listing says Zu verschenken (giveaway)
• negotiable when it is marked VB (Verhandlungsbasis, price negotiable)

So price: null means genuinely no price, not a parsing failure.

Input

{
  "searchUrls": ["https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331"],
  "keywords": [],
  "maxListingsPerSearch": 100
}

Field	What it takes
searchUrls	Any Kleinanzeigen search or category URL, copied from the site with your filters already applied. This is the precise input: what the site shows you is what you get.
keywords	Plain keyword searches across the whole site, for when you do not have a URL. A filtered URL gives better targeting.
maxListingsPerSearch	Hard cap per search. About 25 listings per page, so this is your main cost and runtime control.

Use a URL where you can. Kleinanzeigen's own filters (category, city, radius, price band, condition) are far richer than anything an actor input could reproduce, so the actor deliberately does not try to reinvent them. Filter on the site, copy the URL, paste it here.

Output

{
  "ad_id": "3342271954",
  "title": "Kernsaniertes 1,5 Zimmer-Apartment: Erstbezug in Rudow",
  "price": 950,
  "price_raw": "950 €",
  "location": "12355 Rudow",
  "postal_code": "12355",
  "description": "Die wichtigsten Fakten im Überblick: Erstbezug nach Kernsanierung...",
  "url": "https://www.kleinanzeigen.de/s-anzeige/kernsaniertes-1-5-zimmer-apartment/3342271954",
  "source_url": "https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331",
  "scraped_at": "2026-08-13T13:22:41.108Z"
}

Field	Description
🆔 ad_id	Kleinanzeigen ad ID, stable for deduplication across runs
📄 title	Listing title
💶 price	Price as a numeric euro value
🏷️ price_raw	Price exactly as displayed
🎁 is_free	Listed as Zu verschenken
🤝 negotiable	Marked VB
📍 location	Location line as displayed
📮 postal_code	German postal code parsed from the location
📝 description	Listing description snippet
📐 meta_line	Size/rooms/viewing-type summary, e.g. "63 m² · 2 Zi."
🏢 seller_name	Seller or agency display name, when shown
🔖 tags	Attribute tags from the listing card
🖼️ image_url	Primary listing image
🔗 url	Direct link to the listing
🔎 source_url	The search this listing came from

Common use cases

Property research. Track rents or sale prices in a city or postal code over time. Postal codes come parsed, so grouping by district needs no extra work.

Vehicle and goods pricing. Build a real price distribution for a model or category from live listings rather than asking-price guesswork.

Arbitrage and sourcing. Watch a category on a schedule and catch underpriced or Zu verschenken listings early.

Market and competitor research. Measure supply in a category, which sellers are professional, and how fast inventory turns over.

AI agents. Feed structured German classifieds into an agent that answers "what is a fair price for this in Berlin right now?"

Pricing

Event	Price	You pay when
Listing delivered	$0.001	A listing lands in your dataset

$1.00 per 1,000 listings. Searches that return nothing cost nothing.

Run it on a schedule

1. Run once with the search you want repeated, then click Save as a task.
2. In the Apify Console go to Schedules → Create new.
3. Pick a frequency and attach the saved task.
4. Wire the dataset to Sheets, Slack or a webhook from the Integrations tab.

Deduplicate on ad_id so a repeated schedule never reprocesses the same ad.

FAQ

Do I need a Kleinanzeigen account? No. The actor reads public search pages only.

Can it fetch full listing detail pages? Not currently. It returns everything on the search result card, which is the title, price, location, description snippet, tags and image. Seller detail and full description text live on the individual ad page.

How many pages does it walk? As many as your cap needs, up to the site's own 50-page search limit. It stops early when a page returns nothing new.

Why did I get fewer listings than my cap? Because the search has fewer results, or the result set was exhausted before the cap. The run reports what it actually found rather than padding.

Does it work for cars and general goods, not just property? Yes. Any Kleinanzeigen search URL works, whatever the category.

Use from Claude, ChatGPT and any MCP agent

https://mcp.apify.com/?tools=themineworks/kleinanzeigen-scraper

Or call it programmatically:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('themineworks/kleinanzeigen-scraper').call({
  searchUrls: ['https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331'],
  maxListingsPerSearch: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Questions, or need a field we don't return yet? Reach out through the Apify profile.