Give it a willhaben.at search or category URL - or a single listing URL - and get the listings back as rows: the title, the price, the location down to the postcode, the seller, the photos and the listing link. Thirty columns, one row per listing, in the order willhaben returned them.
The input is the page you would have browsed - a category, a filtered search, or one listing you already have the link to.
One row per listing, each tagged with the query it came from - so a run across a dozen searches still reconciles back to your input list.
Paste a category or filtered-search URL and get its listings; paste one listing URL and get that listing. Both go one per line, and both can arrive as a CSV, XLSX, TXT or Parquet upload instead of being typed.
When a listing belongs to a registered dealer, a block of columns comes with it - the company name, a link to the dealer's own willhaben page, eight address fields and a phone number. Nine of those company columns fill on exactly the same rows, and so does the phone. Private listings leave the block empty, and the data dictionary marks which columns those are.
A cap on the rows per query, chosen before the job starts, or left at zero to take everything a search returns. There is no sort option on this scraper - listings come back in willhaben's own order, and the JSON records that order as a rank.
Each row carries the listing as willhaben shows it: the identifier and link, the title and description, the price and its currency, where the item is, the photos, and - for dealer listings - the company behind it.
The column list below is the header row of real run exports, corroborated by the column array the run UI renders; the two agree exactly. What it deliberately leaves out is row counts: how much comes back depends on the search you point it at, the limit you set and when you run it, so the notes describe what each column holds rather than how full it happened to be on the day we looked.
Taken from the header row of real runs. These notes say what each column holds and which ones come back empty - not how many rows you will get, because that depends on the search you point it at, the per-query limit you set and when you run it.
listing_url.Privat, Privat, Garantie, Gewährleistung and Gewährleistung, Garantie - and it is sometimes empty.location./iad/haendler/ path. Fills with the rest of the company block.Österreich on the Austrian dealers we saw. Fills with the company block.postCode here and postcode for the listing, and they are different columns.state for the listing’s province.-141 - negative, and a string, not a number.url before 2026-07-02."; " before you use it. How many arrive depends on the listing. This column was called image, and held a single URL, before 2026-07-02.price - EUR on the Austrian listings we saw.Gebrauchtwagen, Neuwagen or Unfallwagen. Another category will have another vocabulary.Diesel, Benzin, Elektro, Hybrid Elektro/Benzin and Hybrid Elektro/Diesel.Automatik or Schaltgetriebe.Four things to know before you write code against this. Every value is a string except position, which is a JSON integer - so price, mileage, year and postcode all need parsing before you sort or compare them. images is one string holding several URLs joined by "; ", not a list. author_member_since and company_address_state never carried a value in any run we made, so do not build a field around them. And the German vocabularies above come from a used-car category - condition, fuel and gearbox read differently on furniture or property, and the vehicle columns only apply where the category has them. Run the free tier over your own search URLs and read the first file you get.
This scraper has one control besides the query box - a cap on the rows per query. The rest of what you decide up front is how you hand over the URLs.
A few examples of how teams use Austrian classified listings to answer a question they actually have.
Pull a filtered search and read the whole set at once. Asking prices sit next to the attributes that explain them, and the postcode and province columns let you see how the same item is priced across the country rather than in one town.
Dealer listings carry the company name, a full address and a phone number, plus a link to that dealer's own willhaben page. One category run turns into a contactable list instead of thirty open tabs.
Re-run a search over time and compare files. Because every row carries a stable listing id and a rank, you can tell what is new, what has gone and what moved up the page - without keeping the site open.
No subscription, no minimum, no recurring bill. Your first 500 rows are on us - after that, pay-as-you-go at the same flat rate as every other scraper here.
Every new account, one-time. No credit card required. Per-query limits, file upload and every export format included.
Roughly $2 per 1,000 listings. The pre-flight estimator shows the row count and credit cost before a run starts - no surprise bills, no compute units to translate.
Volume pricing, dedicated workers and an SLA for continuous monitoring or very large historical pulls. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.The German-language vehicle market next door. Useful when a used-car question does not stop at the Austrian border, and the same model needs pricing on both sides of it.
Property listings from the other big German-language portal. willhaben covers property too, so the two together let you read one region's market from more than a single source.
Short answer: the listings are public classified adverts - and the thing to plan around is that some rows describe identifiable people.
willhaben listings are published to be browsed. The title, the price, the location, the photos and the condition are shown to anyone who opens the search, signed in or not. Collecting publicly visible classified adverts for market research is long-established practice, and nothing here touches a login or a paywall.
Two of these columns deserve care rather than a footnote. Dealer rows carry a company name, a street address and a phone number - business contact data, but contact data all the same, so a marketing list built from it sits under the GDPR and Austrian law like any other. And a private seller's advert is personal data even when no name is attached to it, because a listing plus a postcode plus a photo can identify someone. Aggregate market analysis is ordinary use; profiling an individual seller is not what this is for.
The reference documentation for this scraper notes that willhaben blocks datacenter IP addresses and that live results need a residential proxy. Our own runs are mixed on that point and we have not established the cause, so we report it as their note rather than as our finding. willhaben's terms also restrict automated access, so this is a terms question as well as a legal one. We run no third-party trackers on the data layer, and your exports auto-delete after 30 days.
The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.
500 one-time free rows on every new account - no expiry. After that it is $0.002 per row, pay-as-you-go - no card on file until you say so.
Livescraper's Willhaben Scraper turns a list of willhaben.at URLs into listing data. You submit search URLs, category URLs or single listing URLs - typed one per line, or uploaded as a CSV, XLSX, TXT or Parquet file - cap the rows per query if you want to, and download the result as a clean CSV, Excel or JSON file. One row per listing, thirty columns.
Each row carries the listing as willhaben shows it: the numeric id and the link, the title and description, the asking price and its currency, the town, postcode and Austrian province, the condition, the vehicle attributes where the category has them, and every photo URL. Listings placed by a registered dealer add a company name, a link to the dealer's own willhaben page, eight address fields and a phone number. The JSON carries one extra field, position, recording willhaben's own ordering.
Trade and retail teams price a whole category at once rather than a listing at a time, using the postcode and province columns to see how the same item is priced across the country. Sales teams turn a category run into a contactable dealer list. Researchers re-run a search over time and diff the files, which works because every row carries a stable listing id and a rank.
Two properties are worth knowing before you start. Every value comes back as a string except position, so parse before you sort - and images is a single string holding several URLs joined by a semicolon and a space, not an array. This page publishes no row counts on purpose: how much a run returns depends on the search, the per-query limit and the day, so the column notes describe what each field holds rather than quoting a number that will not match yours. Start free: your first 500 rows cost nothing and need no credit card, and after that it is $0.002 per row, flat.