230,000 Daily Rows Standardized Across 5 EU Property Sites
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
Learn MoreDaft.ie prints an asking price, a BER and often an Eircode on each advert, and its Sold section sets the sold price beside the asking one. Our Daft.ie scraper delivers all of it as rows.
Plans from €169/month · Free project assessment · Reply within 1 business day
You tell us which parts of Daft.ie you need - sections, counties or areas, property types, price bands, a list of agencies - and how often. We build the crawlers, run them and repair them when the site changes its pages. Daft.ie answers automated traffic with a block page, so pacing, proxy rotation, rendering and CAPTCHA handling are part of the service, not something you arrange.
Every row carries its section, the listing id from the address and the Daft ID printed on the advert, so a later run updates the same row instead of adding a duplicate. Files arrive as CSV, Excel or JSON, through our API, by SFTP or Amazon S3, or as a load into your database - once, or daily, weekly or on demand. A project assessment is free, and a sample can be ordered before you commit.
A Daft.ie advert is addressed by its section and a number: /for-sale/, /for-rent/, /share/, /new-home-for-sale/ or /commercial-property-for-sale/, then a slug built from the address, then the listing id. The page prints a second number as well, the Daft ID. We keep both, and the fields below under the labels the site gives them.
Search pages return the card version of the same advert - address, price, beds, baths, floor area, type, BER and agency - so a first pass can be built from search alone and deepened from the advert pages.
Daft.ie shows sold prices in a section of its own. Each sold record sits under /sold/ with a long code in place of a listing id and carries the SOLD date, the sold price and the address. Where the sale matches an earlier advert, the asking price, beds, baths, floor area, type, BER and selling agency sit beside it; where it does not, the record is marked as having limited details. We deliver both kinds and flag which is which, so the gap between asking and sold is measured only where both figures exist.
Asking prices move too, but an advert shows only today's figure. A card can carry a Reduced Price label with no amount and no date. To see Daft.ie price changes with amounts and dates, the same adverts have to be read on a schedule: every run stores the price under the listing id, and the differences become a price history with each drop and rise dated. The same comparison gives new listings, adverts that turned Sale Agreed and adverts that disappeared.
Old Daft listings are the usual gap: a withdrawn advert leaves the search, and the only place to find it is an archive somebody kept. Ours starts with your first run and keeps each row as it stood.
Beyond the single advert we cover search results by county, area and property type with their totals, all adverts of one agency through its listings link, the unit types inside a development and the college pages that group student accommodation.
Daft.ie is an Irish property advertising site, launched in 1997 by brothers Brian and Eamonn Fallon and now part of Distilled. It is one site in one language, with no country versions to reconcile. Prices are in euro, except that a small number of adverts from Northern Ireland show pounds first and the euro figure in brackets. What a data project has to plan around is its sections.
Its main sections are For Sale, To Rent, Sharing, Sold, New Homes, Parking, Commercial and Student Accommodation. Each has its own search address and its own advert layout. Property for sale splits into houses, apartments and sites; property to rent adds a short-term option; sharing is advertised room by room; new homes are adverts for whole developments, with a From price and the unit types listed beneath it; commercial property divides into for sale and to lease, across types that run from Office Space and Retail Unit to Development Land and Agricultural Land; parking spaces to rent are priced per month and marked 24 Hour Access or Business Access.
Location is a hierarchy of counties, cities, towns and areas - Dublin alone breaks into numbered districts, city and county sides and commuter towns - and a search can be widened by a radius in kilometres. Results come twenty to a page under a heading that gives the total, sorted by Best Match, Most Recent or price. Advertisers are estate agents, developers, letting companies and private owners. Daft.ie also publishes the quarterly Daft Report on house prices and rents.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Daft.ie holds both sides of the Irish market in one place: what is being asked today and what was paid. That pairing is what most projects come for.
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
ScrapeIt is a managed data extraction agency: we build, run and maintain crawlers and hand over the dataset with field documentation. Property portals are a regular part of that work, and Daft.ie is typical of the harder ones - several sections with different layouts, statuses that change between runs and an address line that has to be split into area, county and Eircode.
We never log in, and personal data is handled under GDPR: the names and phone numbers of private landlords and private sellers are left out by default. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt Daft.ie API returns the Daft ID, address, Eircode, price, BER rating, floor area and agency of each advert as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Adverts, search pages and the Sold section open for any visitor without an account, and those pages are our only source. We collect only publicly available data - everything a visitor can see on Daft.ie - and we collect it legally. Estate agencies and developers are recorded as businesses, while private advertisers' names and phone numbers are left out by default.
Yes, by comparing runs. We store the asking price of every advert at each run under the same listing id and report each change with the old figure, the new figure and the date we saw it. Daily runs give the tightest record; the history begins with the first run.
Every record has the SOLD date, the sold price and the address, with its Eircode where one is given. Records matched to an earlier advert add the asking price, beds, baths, floor area, property type, BER and the selling agency. Records the site marks as having limited details stop at date, price and address, and we flag them.
It depends on the section. For rentals and rooms we suggest daily runs, because an advert published and taken down between two runs is never seen; for sale, new homes and commercial stock weekly is usually enough. Each run records Date listed and the status, so the delivery shows what appeared, what went Sale Agreed and what was withdrawn since the previous one.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Daft.ie data from €169/month. Free project assessment, reply within 1 business day.
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