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Daft.ie Scraper | Irish Property Listings with BER, Geo & Agent Data

The fastest way to pull every listing on Daft.ie — Ireland's biggest property portal — into a clean structured dataset. Per property you get the price, beds, type, BER energy rating, geo coordinates, Eircode, full description, features and the listing agent's profile. Covers for-sale, for-rent, sharing (rooms), new-homes and commercial sections across every Irish county.

No browser. No login. No API key. The actor reads each search and detail page's Next.js __NEXT_DATA__ state directly, so the data is structured, complete and matches exactly what daft.ie renders.

TL;DR — Pick a section + location ("property-for-sale" + "dublin-city"), pick a maxRecords cap, run. Every row is one property with everything joined: price, beds, BER, lat/lon, agent.

What you get

For each property, one row with:

The complete schema with types is in dataset_schema.json.

Why these fields matter

BER (Building Energy Rating) — Ireland's mandatory energy label. Buyers and renters increasingly filter on it; investors track it for value-add deal flow ("buy F-rated, retrofit to B2, resell"). No other property data source surfaces it as a structured column.

Eircode — Ireland's seven-character postcode. Every Eircode pinpoints to a single building, making it perfect for joining with census, demographic and electricity-use datasets.

Latitude / longitude — pulled straight from Daft's own Point geometry. Drop the dataset into Mapbox / Tableau / Looker for instant heat-maps.

Agent profile — the agentId, agentName, agentBranch, agentLicenceNumber plus premierPartner flag let you build a competitive map of who lists what in which area. Estate agencies use this to monitor competitors; PropTech vendors use it for sales pipeline.

featuredLevel / premierPartner — Daft.ie's premium ad tier signal. Useful for marketers and agencies to size the paid-ad budget of the market.

Use cases

Real-estate agencies (competitive intel)

• Snapshot the entire dublin-city property-for-sale market daily — track which agents are getting new instructions, what's selling, what's lingering.
• Build a heat-map of new listings per area to time outreach to landlords.

PropTech / data analytics

• BER-rated rental yield analysis — pair priceMin with floorArea for €/m² and stratify by berRating for a real-time energy-vs-price index.
• Affordability dashboards — pull all of Ireland by county weekly, model median asking price by bedroom count.

Mortgage / lending teams

• Pre-approval intelligence — surface fresh listings in your target customer's price band the moment they're posted.

International buyers (US / UK)

• Save hours of manual browsing — filter Daft via this actor for your exact priceFrom/priceTo/minBeds and pipe to Notion, Sheets or your buyer's CRM.

Estate-agent SaaS / CRM vendors

• Map every active agent in Ireland (agentName + agentBranch + agentLicenceNumber) — the single best B2B prospecting list for selling to estate agents.

Investment funds / institutional rental

• Track the new-build BTR pipeline in real time via the new-homes-for-sale section + the prs.subUnits count we surface.

Compliance / market research

• Run the same query weekly and dataset-diff to compute time-on-market, price reductions and supply by area.

Inputs (full list)

Definitions live in input_schema.json; here's the human summary.

• section (select) — property-for-sale (default), property-for-rent, sharing, new-homes-for-sale, commercial-properties-for-sale, commercial-properties-for-rent.
• location (string) — Daft.ie location slug. Examples: dublin-city, cork, galway, limerick, kildare, wicklow, dun-laoghaire-rathdown. Leave empty for all-Ireland.
• startUrls (array) — Paste Daft.ie search URLs directly. Overrides section / location / filters.
• priceFrom, priceTo (integer) — Optional price band (€). For rent these are per-month.
• minBeds (integer) — Minimum bedroom count.
• scrapeDescription (boolean) — Visit each detail page for full description + features + last-update date. The base listing already carries title, price, beds, BER, geo, agent — disable detail visit for 5× faster runs.
• maxRecords (integer) — Hard cap on properties returned. Default 100.
• maxPages (integer) — Hard cap on pagination. 0 = unlimited (bounded by maxRecords).
• requestDelay (integer) — Milliseconds between page fetches. Default 1000.
• proxyConfiguration (proxy) — Apify Proxy. Defaults to RESIDENTIAL + country IE — datacenter triggers Daft.ie's "Security Check" interstitial within a few requests.

Example inputs

1. Dublin sale listings, default cap

{
"section":"property-for-sale",
"location":"dublin-city",
"maxRecords":100
}

2. Cork rentals under €2,000/month, ≥2 beds, fast list-only

{
"section":"property-for-rent",
"location":"cork",
"priceTo":2000,
"minBeds":2,
"scrapeDescription":false,
"maxRecords":250
}

3. Galway room-shares with full descriptions

{
"section":"sharing",
"location":"galway-city",
"scrapeDescription":true,
"maxRecords":60
}

4. Direct Daft.ie URL paste

{
"startUrls":[
{"url":"https://www.daft.ie/property-for-sale/dublin-city-centre?price=300000-500000&numBeds_from=2"}
],
"maxRecords":300
}

5. All-Ireland new-homes pipeline (deep crawl)

{
"section":"new-homes-for-sale",
"location":"ireland",
"scrapeDescription":true,
"maxRecords":1000,
"maxPages":60,
"requestDelay":1500,
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"],
"apifyProxyCountry":"IE"
}
}

Output sample

{
"propertyId":"6561825",
"daftShortcode":"96561825",
"title":"Baile Adaim, Carrigtwohill, Co. Cork",
"category":"Rent",
"propertyType":"Private Rental Sector",
"priceRaw":"From €710 per month",
"priceMin":710,
"priceMax":710,
"priceCurrency":"EUR",
"pricePeriod":"month",
"numBedrooms":"1, 2 & 3 bed",
"numBedroomsMin":1,
"numBedroomsMax":3,
"numBathrooms":null,
"berRating":"A2",
"floorArea":null,
"dateOfConstruction":null,
"address":"Baile Adaim, Carrigtwohill, Co. Cork",
"eircode":null,
"city":"Baile Adaim",
"county":"Cork",
"country":"Ireland",
"latitude":51.91742,
"longitude":-8.24198,
"featuredLevel":"FEATURED",
"publishDate":"2026-05-05",
"firstPublishDate":null,
"lastUpdateDate":null,
"agentId":"13053",
"agentName":"Paul Barry",
"agentBranch":"Cork County Council",
"agentType":"UNBRANDED_AGENT",
"agentLicenceNumber":"Cork County Council",
"agentLogoUrl":"https://media.daft.ie/…",
"premierPartner":false,
"showContactForm":true,
"imageUrl":"https://media.daft.ie/…",
"imageCount":8,
"subUnitCount":3,
"listingUrl":"https://www.daft.ie/for-rent/baile-adaim-carrigtwohill-co-cork-…/6561825",
"searchSection":"property-for-rent",
"searchLocation":"cork",
"scrapedAt":"2026-05-31T18:57:13.000Z"
}

Cost & throughput

Pay-per-event pricing — small apify-actor-start fee plus a per-result charge. The exact tier is on the actor's Apify Store page.

Default throughput (scrapeDescription: false, requestDelay: 1000):

• ~20 listings per page × ~1.5 s per page = ~13 listings / second.
• 1,000 listings ≈ 80 seconds.
• With scrapeDescription: true add ~1 s/listing for the detail fetch.

Daft.ie caps pagination at ~167 pages × 20 listings = ~3,300 results per query. To go deeper, split by county, then by city / area, then by price band.

How it works (under the hood)

1. Search URL build — https://www.daft.ie/{section}/{location}?page=N&priceFrom=…&numBeds_from=….
2. __NEXT_DATA__ parse — Daft.ie ships its entire React state inside <script id="__NEXT_DATA__">. We pull props.pageProps.listings (per-page array of 20 properties), props.pageProps.paging (current page, total pages, total results) and props.pageProps.queryFilters.
3. Field mapping — listing.title → title, listing.price → priceRaw + parsed priceMin/priceMax/priceCurrency/pricePeriod, listing.ber.rating → berRating, listing.point.coordinates → lat/lon, listing.seller → agent fields, listing.seoFriendlyPath → listingUrl.
4. Eircode mining — Irish postcode regex ([ADEFHKNPRTVWXY]\d{2} [A-Z0-9]{4}) over title + URL slug + description.
5. Detail enrichment (optional) — for each listing, fetch the detail URL and pull the longer description, features array and lastUpdateDate from its own __NEXT_DATA__ block.
6. Dedup — by numeric propertyId. The same listing surfacing on overlapping pages is only emitted once.
7. Backoff — retries on 403 / 429 / "Security Check" interstitial with a fresh proxy session per attempt.

Built on got-scraping + cheerio — no Puppeteer, no Playwright, runs in 512 MB.

Tips & troubleshooting

Q: I'm getting No properties scraped — Daft.ie blocked the discovery page. A: Almost certainly the proxy group is wrong. Daft.ie shows a "Security Check" challenge to datacenter IPs within a few requests; switch the proxy group to RESIDENTIAL and set country to IE. UK / US residential IPs sometimes also trigger the check — IE residential is the most reliable.

Q: My run says No properties matched your filters. A: Your filter is too narrow. Drop priceTo, lower minBeds, broaden the location to the county slug (e.g. cork instead of cork-city-centre).

Q: Why is berRating null on so many rentals? A: Landlords aren't legally required to publish BER on every rental ad until certified. The actor reads what Daft.ie publishes — when the rating is missing on the source page, the field stays null. (Sale listings carry BER far more reliably.)

Q: eircode is empty most of the time. A: Eircode is included in the title / URL slug only when the seller chose to publish it. Set scrapeDescription: true and we also mine the full description text — that recovers Eircode for an additional ~15-20% of listings.

Q: I want sub-units inside apartment-complex listings as separate rows. A: The parent listing's subUnitCount flags how many sub-units it has. v1 emits one row per parent listing with the sub-units summary; ping the Store page if you want a mode: per-subUnit flag added.

Q: Why does pagination stop earlier than the total pages count? A: Daft.ie caps deep pagination around page 167 (~3,300 results) regardless of true total. To go further, split the query (e.g. by priceFrom/priceTo bands).

Q: How fresh is the data? A: Real-time. Each run pulls Daft.ie's live __NEXT_DATA__; there is no cache layer in the actor.

Q: Can I scrape just one specific listing? A: Yes — drop the listing's detail URL into startUrls. The actor recognises detail URLs and emits one row.

Q: Can I run this on a schedule? A: Yes — Apify Schedules picks it up natively. Daily / hourly cron is fine; lower maxRecords to keep cost predictable.

How this compares

There's exactly one other Daft.ie scraper on the Apify Store (about 350 runs / month). Here's how this one positions:

• Multi-section — sale, rent, sharing, new-homes, commercial sale, commercial rent. The competitor covers sale + rent only.
• BER rating + Eircode + geo lat/lon as structured columns — the high-signal Irish-specific fields the alternative doesn't surface.
• Agent profile in every row — agentId, agentName, agentBranch, agentLicenceNumber. Build the agent-leads list for free as a side-effect of every property run.
• Cloudflare / "Security Check" handling baked in — proxy prefill is RESIDENTIAL + IE because that's what survives Daft.ie's anti-bot for sustained runs.
• Healthy run semantics — empty filter results exit SUCCEEDED with an actionable status message rather than FAILED.

Legal & ethical use

This actor reads public, indexable Daft.ie HTML — the same pages Google sees. Use responsibly:

• Republishing the data as a competing portal infringes Daft.ie's Terms; build derived products (analytics, dashboards, alerts) instead.
• Contacting agents en-masse without an established business relationship needs a lawful basis under the GDPR (legitimate interest works for B2B if the topic is relevant and you respect opt-outs).
• The actor never bypasses logins, paywalls or robots.txt-disallowed paths.

Pricing-tier playbooks (when you graduate from one-off runs)

If you're scheduling Daft.ie runs daily / weekly for a real workflow, these are the patterns that survive at scale:

1. County-by-county sweep. Don't try to grab "all of Ireland" in one run — Daft.ie caps pagination ~3,300 results. Run one search per county (dublin-city, cork, galway, limerick, kildare, wicklow, meath, donegal, …) and union the datasets. Daily refresh keeps cost in the cents.
2. Price-band shards. For Dublin sale (> 3,300 results) split by price: <300k, 300-500k, 500-750k, 750k-1m, >1m. Five small runs cover the full market without hitting the pagination cap.
3. Delta scheduling. Run the same query once a day and dedup by propertyId against your warehouse's previous snapshot — new rows = new listings, missing rows = sold / withdrawn. Tracks time-on-market for free.
4. Agent prospecting. Run a single sale-and-rent sweep per county per week; dedup the result by agentId and you've built a refreshed agent list ideal for B2B SaaS targeting Irish estate agents.

Frequently-asked filters

• location — Irish county slugs use the official Daft.ie slug. The most common ones: dublin-city, dublin-county, dun-laoghaire-rathdown, fingal, south-dublin, cork-city, cork-county, galway-city, galway-county, limerick-city, kerry, kildare, meath, wicklow, wexford, donegal, mayo, clare, tipperary, waterford-city. For all-Ireland leave empty or use ireland.
• Direct URL paste — every Daft.ie search-results page works as a startUrls value. Toggle filters in your browser, copy the URL once you're happy, paste in.
• numBeds_from — Daft.ie's own URL parameter; the actor passes it through when you set minBeds. Use startUrls for the more exotic combinations (numBeds_to, dateOfConstruction_from, etc.).

Changelog

• 1.0 — Initial release. Sections: property-for-sale, property-for-rent, sharing, new-homes-for-sale, commercial sale & rent. __NEXT_DATA__ parser, BER + Eircode + geo + agent extraction. Detail-page enrichment for description + features.

Roadmap / feature requests

• mode: per-subUnit for apartment-complex parents.
• Historical price-change tracking (compare across runs).
• Agent-list-only mode (one row per agentId, with summary stats).
• Map-bounding-box search input (lat/lon polygon → Daft search URL).
• Saved-search delta mode (emit only listings new vs the previous run).

Drop a comment on the Store page if any of these would unblock you.