Paste an Immowelt search URL - or a single expose - and get the listings back as rows: the title, the price and its currency, the address, city and postcode fields, the room count, the living and plot area fields, a link to the listing, its image and the description. One row per property.
The input is the results page. Build the search on Immowelt with the filters you want, then hand us the address instead of paging through it.
One row per property, tagged with the query it came from - so a run across several searches still reconciles back to your input list.
Buy or rent, house or apartment, the locations you picked - Immowelt encodes all of it in the address bar. Build the search on the site the way you always would and paste the URL; nothing has to be re-specified here.
Point it at a classified-search page to take the whole result set, or at one expose when you already know which property you mean. Both come back in the same thirteen columns.
Property portals defend themselves harder than most sites. Rate limiting and address rotation happen on our side - from your end it is a form or an API call, and you never assemble a pool.
What the listing carries: how it is titled and what it costs, where it is across three separate address fields, how big it is across three separate size fields, and where to go and look at it.
One thing we would rather state than let you assume. The table below names the thirteen columns and says what each field is for - and it stops there. It does not tell you the units the area columns use, the currency the price is quoted in, or whether the counts arrive as numbers or as text. Those are answers a real export gives, and publishing a confident guess in their place would be worse than publishing nothing. Run a small free-tier job on one of your own searches: the header row and the first few rows of that file are the definitive answer for the listings you actually care about.
The export's header row, in order. Descriptions say what each field is for; they deliberately claim nothing about its format or units - see the note underneath.
Names, not formats. These thirteen column names are corroborated by two independent sources, so you can write your header mapping against them today. What is deliberately missing is everything a description could get wrong: no units on living_area or plot_area, no currency named for price, no statement about whether rooms is a whole number, and no fill rates. A free-tier run over your own search answers every one of those in a single file - and answers it for the listings you care about rather than for somebody else's.
The filters live in the URL. Point it at a results page to take the set, or at one listing when you already know which. Both return the same thirteen columns.
A few examples of what a property search becomes once it is a table.
A results page shows you a handful at a time. A file shows you all of them together - price beside size beside location, sortable, so the outliers in either direction are obvious rather than something you scroll past.
Run the same search URLs on a schedule and each export is a dated snapshot. Comparing files week to week is how you see what is new, what has gone and what has been repriced.
Take several searches across the areas you care about and export the lot. With the address, city and postcode fields kept separate, grouping the result by area takes one pivot rather than a parsing pass.
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 tracking many searches on a schedule. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.A property row tells you the address. These two tell you the rest.
What sits near an address - schools, transport, shops, whatever category matters to the buyer. The city and postcode columns give you the search terms to run it with.
Classifieds listings in the same shape - title, asking price, area and a link per item. Useful when the market you are studying runs across a portal and a classifieds board at once.
Short answer: yes for the public listing - a property advert is business information, not somebody's profile.
Everything in these thirteen columns is shown on a public Immowelt listing page to any visitor, signed in or not: the headline, the price, the location fields, the size fields, the image and the description the advertiser wrote. No login, no paywall, nothing behind an account.
What is absent is what keeps this straightforward. There is no agent or private-seller name in the export, no phone number and no email - and no column for any of them. It describes advertised property, not the people advertising it.
Immowelt's terms restrict automated access, so this is a terms question as well as a legal one - if you have a contractual relationship with the site, check it. 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 Immowelt Scraper turns a property search into a dataset. You build the search on Immowelt the way you normally would, submit the resulting URL - or a single expose URL - typed one per line or uploaded as a CSV, XLSX, TXT or Parquet file, set a limit per query if you want one, and download the result as a clean CSV, Excel or JSON file. One row per property.
Each row carries thirteen columns: the query you submitted, the listing title, the price and its currency, three separate location fields for address, city and postcode, the room count, the living-area and plot-area figures, a link to the listing, its image and the description.
Investors compare a whole search at once rather than a handful at a time, with price beside size beside location in a form that sorts. Monitoring teams run the same searches on a schedule, because comparing dated exports is how you see what is new, what has gone and what has been repriced. Researchers export several area searches together - and because address, city and postcode arrive as separate columns, grouping by area is a pivot rather than a parsing job.
One note on what this page does and does not tell you. The thirteen column names are confirmed by two independent sources, so you can map your headers against them today - but we do not publish the units on the area columns, the currency the price is quoted in, or the number formats, because those are answers a real export gives and a documentation page can only approximate. Start free and let the file tell you: your first 500 rows cost nothing and need no credit card, and after that it is $0.002 per row, flat.