willhaben Scraper — GDPR-safe listings data

Extract listings from willhaben.at — Austria's largest marketplace — as clean, structured JSON. Prices in cents, descriptions, municipality-level locations with postcode and Bundesland, photos and posting dates, ready for price monitoring, market research and data pipelines.

No seller personal data, ever. This scraper is built GDPR-first: seller names, seller identifiers and the listing's exact map coordinates never appear in the output — not as an option you have to remember to switch off, but by design. The only seller information included is whether the listing comes from a business or a private seller.

Quick start (30 seconds)

1. Put what you'd type in the willhaben search box into searchQuery — e.g. fahrrad.
2. Click Start. That's the whole minimum setup.
3. When the run finishes, open the dataset's Overview tab for a clean table, or Export it as CSV/Excel/JSON.

Optional knobs: a price band in euros and newest-first sorting for monitoring — and any input works on a daily Schedule.

What you can build with it

• Watch a niche for underpriced listings. Run searchQuery: "e-bike" with priceMaxEur: 800 and sortBy: "date" hourly — every new listing arrives with priceCents parsed and the seller's own display price (priceDisplay) kept for reference.
• Map prices by region. Every listing carries city, postcode, district and state — chart what the same bike costs in Wien versus Steiermark without touching a map coordinate.
• Track business vs. private supply. The sellerType flag on every listing tells you how much of any category is professional traders — market structure no willhaben page shows you.
• Feed an AI agent clean data. Every field is structured, predictable and free of personal data, so an assistant or pipeline can consume it directly — no scrubbing, no compliance review before you store it.

What you get

Each listing is one dataset item:

{
  "listingId": "2098800001",
  "url": "https://www.willhaben.at/iad/kaufen-und-verkaufen/d/fahrrad-18-zoll-2098800001/",
  "title": "Fahrrad 18 Zoll",
  "description": "Wir verkaufen das Fahrrad, da es zu klein geworden ist.",
  "priceCents": 5000,
  "currency": "EUR",
  "priceDisplay": "€ 50",
  "postedAt": "2026-08-21T08:47:26Z",
  "changedAt": "2026-08-21T08:47:26Z",
  "city": "Sinabelkirchen",
  "postcode": "8261",
  "district": "Weiz",
  "state": "Steiermark",
  "sellerType": "private",
  "imageUrls": ["https://cache.willhaben.at/mmo/2/209/880/0001_-11.jpg"]
}

Field notes, so you know exactly what you are buying:

• priceCents is the numeric asking price in euro cents; priceDisplay is exactly what the site shows, which also covers "zu verschenken" and similar non-numeric prices (then priceCents is absent).
• postedAt vs changedAt: sellers edit and bump listings; changedAt is why an older listing can appear near the top of a newest-first run.
• Location is municipality-level: city, postcode, district, state. willhaben's data contains exact coordinates — they are deliberately never collected.
• description is the search-page text of the listing, as the seller wrote it.

How much does it cost to scrape willhaben?

$1.99 per 1,000 listings delivered, pay-as-you-go — no subscription, no charge for empty or failed runs. In plain dollars:

• 100 listings ≈ $0.20 — a daily niche watch.
• 500 listings ≈ $1.00 — a solid market snapshot.
• A 5,000-listing crawl ≈ $9.95 — a broad category, deduplicated.

The price is all-inclusive — your runs' platform usage is covered by it, with no separate compute or proxy charges. Runs are fast — a scoped few-hundred-item run typically finishes in under ten seconds. Datacenter proxies are sufficient — no residential proxy surcharge needed.

Free-plan runs are limited to a sample of 25 items, enough to evaluate the output format against your real query.

Not technical? Let your AI assistant set it up

Copy this into ChatGPT, Claude or any AI assistant, fill in the one line, and follow the conversation:

Help me set up the "willhaben Scraper" actor on Apify
(https://apify.com/lowlanddata/willhaben-scraper). Guide me one step at a time.

What I want to watch: [E.G. "e-bikes under 800 euros in Styria"]

Guide me to:
1. Propose my input values: searchQuery (what I'd type in the willhaben search box),
   an optional priceMinEur/priceMaxEur band, sortBy "date" for newest-first
   monitoring, and maxItems.
2. Create a free Apify account (apify.com), open the actor page, paste the values
   into the Input form, and start a run.
3. Set up a daily Schedule in the Apify Console with the same input, plus an email
   or Slack integration so new results reach me automatically.
4. Show me how to export results as CSV/Excel, or read them from the API if I code.
5. If the results are what I wanted, remind me at the end to leave a quick rating on the actor page, and to report anything broken or missing on its Issues tab.

Input

Field	Description
searchQuery	What you'd type in the willhaben search box. Required.
priceMinEur	Only listings costing at least this many euros.
priceMaxEur	Only listings costing at most this many euros.
sortBy	date (newest first, default), price_asc, price_desc, or relevance.
postedAfter	Only listings posted on or after this date (YYYY-MM-DD). Stops early with newest-first sorting.
postedBefore	Only listings posted on or before this date (YYYY-MM-DD).
maxItems	Stop after this many listings (default 1000).
proxyConfiguration	Proxy settings; keep Apify proxy enabled.

A run minimally needs a searchQuery; invalid combinations (like an inverted price band) fail immediately with the reason in the run's status message.

Use it from your code

Run the actor and get items straight back with one HTTP call (fine for scoped runs up to ~5 minutes):

curl "https://api.apify.com/v2/acts/lowlanddata~willhaben-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -X POST -H "Content-Type: application/json" \
  -d '{"searchQuery": "fahrrad", "maxItems": 100}'

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('lowlanddata/willhaben-scraper').call({
  searchQuery: 'fahrrad',
  maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("lowlanddata/willhaben-scraper").call(
    run_input={"searchQuery": "fahrrad", "maxItems": 100})
items = client.dataset(run["defaultDatasetId"]).list_items().items

For bigger crawls, start the run asynchronously and fetch the dataset when the finished-run webhook fires. Schedules (e.g. a daily price snapshot), webhooks and the Make/Zapier/n8n integrations all work out of the box — this is a standard Apify actor.

Use it with AI agents (MCP)

Claude, Cursor and other MCP-capable agents can run this scraper as a tool through Apify's hosted MCP server: the agent fills in the search itself, starts the run and reads the results — no glue code.

Claude Code:

$claude mcp add apify --transport http "https://mcp.apify.com?actors=lowlanddata/willhaben-scraper"

Cursor or Claude Desktop (add a custom connector / MCP server with this URL):

https://mcp.apify.com?actors=lowlanddata/willhaben-scraper

Sign in with your Apify account when prompted — runs are billed to it. Setup details per client: Apify MCP docs, or start from this actor's own MCP page: apify.com/lowlanddata/willhaben-scraper/api/mcp.

Prompts that work once connected:

• "Search willhaben for e-bikes under 800 euros and summarize prices by Bundesland."
• "Get the 100 newest 'iphone 15' listings from willhaben and flag private sellers below the median price."
• "Watch willhaben for 'wohnmobil' and tell me when something under 25 000 euros appears."

How deep does a crawl go?

willhaben's search pages go very deep — this actor pages through results at 90 listings per page until it reaches your maxItems or the end of the results, deduplicating by listing id. For very broad market crawls, split by price bands (priceMinEur/priceMaxEur) across runs — overlapping runs merge cleanly on listingId.

Is it legal to scrape willhaben?

Public listing data — prices, descriptions, categories, locations — is public commercial information, and this scraper is built so that the hard part of the question never arises: no personal data enters your dataset in the first place. Austria's data-protection authority (DSB) applies the same GDPR baseline as the rest of the EU; an output that carries none of the seller's personal data is the point of this actor, not an afterthought.

Structurally, the extractor maps a fixed whitelist of attributes out of the page's data. The advertiser block, the seller identifiers and the exact coordinates are never read into the output — the only seller-derived value is the business-vs-private flag. Requests are paced, load on the site is kept negligible, and no anti-bot protection is bypassed.

One honest limit: titles and descriptions are the seller's own words, delivered as-is. If a seller chooses to type contact details into their listing text, that text is not rewritten — the guarantee covers the data fields, not the content sellers publish about themselves.

Is there a willhaben API alternative?

willhaben publishes no public API for reading listings. This actor is the practical alternative: the same listings as structured JSON through one HTTP call (run-sync-get-dataset-items), on a schedule, or as an MCP tool for AI agents — with the GDPR question already answered in the data itself.

Does willhaben block scrapers?

willhaben serves its listings openly to ordinary requests — and this actor stays inside that welcome: paced requests, standard datacenter proxies, load kept negligible. No CAPTCHA fights, no bot-wall cat-and-mouse — which is also why runs are fast and reliable enough for daily schedules.

How do I monitor willhaben prices?

Set sortBy: "date" with your query, cap maxItems to a page or two, and add a daily (or hourly) Schedule in the Apify Console with an email/Slack integration on the runs — every new listing lands in your inbox with the price already parsed to cents. The AI-assistant prompt above walks a non-technical user through exactly this setup. Even tighter: set postedAfter to yesterday's date — the dataset then contains only the new listings, nothing to dedupe on your side.

FAQ

Can I get seller names or phone numbers? No — by design. That is the product: data you can store, share and process without a GDPR review. The output tells you only whether the seller is a business or a private person.

Why does an old listing show up in a newest-first run? Sellers edit and bump listings; compare postedAt with changedAt to tell fresh listings from bumped ones.

Does it cover cars and property too? This actor searches willhaben's Marktplatz (general goods). Cars and property live in willhaben's own verticals with different data — candidates for separate actors, done properly.

Can I get only the newest listings? Yes — set postedAfter to a date (yesterday, say) and the dataset contains only listings posted since then. With newest-first sorting the run stops paging as soon as it provably reaches older listings, so a daily watch stays fast and cheap.

How fresh is the data? Live at run time — every run queries willhaben directly. For continuous freshness, schedule the actor.

Can I export to Excel or CSV? Yes — every dataset exports as CSV, Excel, JSON or XML from the Apify Console or API.

Does it work with Make, Zapier or n8n? Yes — it is a standard Apify actor; all platform integrations, webhooks and schedules apply.

Can I scrape willhaben without an API key? Yes. willhaben offers no public read API to get a key for; the actor runs on your Apify account alone, and the free tier is enough for a trial run.

What does it cost to scrape willhaben? $1.99 per 1,000 listings delivered, pay-as-you-go. Empty and failed runs are free; the price covers your runs' platform usage — nothing comes on top.

Do I need residential proxies for willhaben? No — the default Apify datacenter proxies are enough. There is no residential surcharge hiding in the price.

How long does a run take? Seconds, not minutes: a scoped few-hundred-item run typically finishes in under ten seconds, which is what makes hourly schedules practical.

How do I scrape only listings from the last day? Set postedAfter to yesterday's date. With newest-first sorting the run stops paging as soon as it provably reaches older listings — a daily watch stays small and cheap. postedBefore bounds the other end; both take YYYY-MM-DD or a full ISO timestamp.

Why is priceCents missing on some listings? The seller set a non-numeric price such as "zu verschenken". priceDisplay always carries exactly what the site shows, so nothing is lost.

Does the output include GPS coordinates? No — willhaben's data contains exact coordinates, and this actor deliberately never collects them. You get city, postcode, district and state, which is enough for regional price maps.

How many listings can one run collect? The actor pages through results at 90 listings per page until maxItems or the end, deduplicating by listingId. For very broad market crawls, split across runs with price bands — overlapping runs merge cleanly on the id.

What if willhaben blocks the run partway? Everything collected before the block is kept and delivered, with the partial coverage stated in the run status. You pay only for delivered listings; a later re-run or a narrower query usually completes.

Why did I only get 25 results? You are on the Apify free plan, which caps this actor at a 25-item sample. Any paid plan lifts the cap to your maxItems.

Can ChatGPT or Claude search willhaben for me? Yes — connected through Apify's hosted MCP server, an AI agent can pick the search terms, run the actor and reason over the results in one conversation.

How is this better than searching willhaben myself? The site shows you pages; this actor gives you data — prices parsed to cents, posting timestamps, the business-vs-private split per listing, and one-click CSV/Excel export, all repeatable on a schedule.

Is there a scraper like this for Germany or Poland? Yes — the Kleinanzeigen.de and OLX.pl scrapers listed below, built on the same GDPR-clean output discipline.

Is it legal to scrape willhaben? Listing data — prices, descriptions, municipality-level locations — is public commercial information, and this actor's whitelist mapper keeps every seller identifier and exact coordinate out of the output, so no personal data reaches your dataset.

Related scrapers

Working the European second-hand market? The same GDPR-clean guarantee, same output discipline:

• Kleinanzeigen.de Scraper — Germany's biggest classifieds site.
• OLX.pl Scraper — Poland's largest classifieds marketplace.
• Marktplaats.nl Scraper — the Netherlands' biggest marketplace.

Troubleshooting

The actor fails fast with the reason in the run's status message:

• "priceMinEur must not be higher than priceMaxEur." — swap the two values.
• "willhaben blocked the run before any results could be fetched. This is usually temporary - retry in a few minutes." — a temporary block on the first request; a retry usually lands on a clean proxy session.
• "... then the site blocked further requests. Partial coverage ..." — the run kept everything collected before the block; re-run later or narrow the query.
• Fewer items than requested on a free plan — the 25-item free sample cap; run on a paid Apify plan for full results.

Support

Found an issue or missing a field you need? Open an issue on the actor's Issues tab — reports get fixed, this actor is actively maintained.

Working well for you? A rating on this page takes ten seconds and helps other buyers find a GDPR-clean option among the lookalikes — it is also the clearest signal of what we should build next.