Funda Scraper | Netherlands Real Estate Koop Huur
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from $3.00 / 1,000 results
Funda Scraper | Netherlands Real Estate Koop Huur
Scrape Funda.nl koop, huur & nieuwbouw listings across the Netherlands. Extract prices, addresses, floor area, rooms, agents & URLs — Funda API alternative.
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from $3.00 / 1,000 results
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kane liu
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Funda Scraper — Netherlands Real Estate Listings (Koop & Huur)
Scrape Funda.nl property listings across the Netherlands — koop (for sale), huur (for rent), nieuwbouw, makelaar offices, and map search — then download structured data as Excel, CSV, JSON, or JSONL.
Architecture: this Apify Actor is a thin client. Scraping runs on the funda-nl Cloud Run worker over HTTPS + API key.
Worker URL is config, not code: the Actor reads
WORKER_BASE_URLfrom Actor environment variables (plus optional per-runworkerBaseUrl). If you migrate the worker to a new host, updateWORKER_BASE_URL(andWORKER_AUTH/WORKER_API_KEYif the API key changes) in Apify Console — no Actor code change required. SetWORKER_PROVIDES_PROXY=1when the worker supplies its ownPROXY_URLinstead of Apify RESIDENTIAL.
This Actor is a practical Funda API alternative for Dutch housing market research, property lead gen, price monitoring, and agency tracking on www.funda.nl. Enter a city or province (or several areas), choose a channel, start a run, and get clean Dataset rows with addresses, asking prices, floor area, rooms, energy labels, agent names, and direct Funda URLs.
- Pull Funda listings from the leading Dutch real-estate portal (koop / huur / nieuwbouw)
- Search by city, province, postal code, or nationwide (
nl) — batch multiple areas in one run - Optionally enrich results with detail kenmerken, media tabs (photos, floor plans, video, 360), and English detail pages
- Export to Excel / CSV / JSON, or connect Make, n8n, Zapier, Python, or the Apify API
- Schedule runs, monitor failures, and integrate webhooks on the Apify platform
- Pay per event — Actor start + each Dataset result; platform usage is included (you do not pay separate Apify compute)
What does Funda Scraper do?
Funda Scraper lets you extract structured real-estate data from Funda.nl without maintaining your own browser farm or reverse-engineering Funda’s Nuxt payloads. Give it one or more Dutch areas and a channel (koop, huur, nieuwbouw, makelaar, or map), then start a run.
Under the hood, the Actor:
- Validates your input (channel, areas, filters, locale, enrich flags)
- Calls a managed Cloud Run worker in europe-west4 (NL) that opens Funda pages with residential NL egress
- Parses guest-visible SERP / LDP HTML (JSON-LD ItemList, Nuxt hints, DOM cards, kenmerken)
- Pushes Dataset rows with preview fields (
name,type,status,country,authority) - Writes
RUN_SUMMARY(andERROR_SUMMARYon failure) to the key-value store
You run it like any other Apify Actor — schedule it, call it from the API, or plug it into automations.
What data can you extract from Funda.nl?
| Data | Search SERP | Detail enrich | Makelaar office | Media enrich |
|---|---|---|---|---|
| Address / title | ✅ | ✅ | ✅ | — |
| Asking / rent price | ✅ | ✅ | — | — |
| Floor area (m²) | ✅ | ✅ | — | — |
| Rooms | ✅ | ✅ | — | — |
| Energy label | ✅* | ✅* | — | — |
| Agent / makelaar name | ✅* | ✅* | ✅ | — |
| Postal code / city | ✅ | ✅ | — | — |
| Listing URL + urlId | ✅ | ✅ | — | — |
| Internal listing id | — | ✅* | — | — |
| Features (kenmerken) | — | ✅ | — | — |
| Photos / floor plans / video / 360 | — | — | — | ✅ |
| Cadastral (kadaster) | — | — | — | ✅* |
| Office listing links | — | — | ✅ | — |
*When Funda shows the field on the public / guest page. Login-gated values are marked, not unlocked.
Every row includes contentDepth=guest_preview (public guest-visible content only).
Why scrape Funda.nl?
Funda is the dominant residential real-estate marketplace in the Netherlands and the primary source of Dutch koop and huur inventory. Teams scrape Funda to:
- Build custom NL property databases for investing, brokerage, or lead gen
- Track asking prices, nieuwbouw supply, and inventory by city or province
- Monitor specific makelaar offices and their active listings
- Feed valuation models, dashboards, CRM workflows, or AI agents with structured Funda data
- Compare Amsterdam, Utrecht, Rotterdam, Den Haag, and regional markets at scale
More Actors like this
Looking for another property portal, or a scraper outside real estate? Use a specialized Actor when one exists — structured fields, better coverage, usually lower cost. Use this Actor for Funda.nl koop / huur / nieuwbouw / makelaar / map search and detail pages.
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General Tools
→ See the full catalog in Related Actors below, or browse apify.com/lentic_clockss.
How to scrape Funda.nl (no code required)
- Create a free Apify account
- Open Funda Scraper
- Choose a channel (
koop,huur,nieuwbouw,makelaar, ormap) - Enter a selectedArea (e.g.
amsterdam) or selectedAreas (e.g.amsterdam,utrecht) - Optionally set filters (
objectType,price,sort),locale,enrichDetails, orenrichMedia - Click Start and download the Dataset as JSON, CSV, Excel, or JSONL
Start with maxResults: 5–10 to verify the query, then scale up. You can also run Funda Scraper from the Apify API, Python/JS client, or Schedules.
How much does it cost to scrape Funda?
This Actor uses pay-per-event pricing. You are charged for:
| Event | Price |
|---|---|
Actor Start (apify-actor-start) | $0.005 per start |
Result (apify-default-dataset-item) | $3.00 / 1,000 results ($0.003 each) |
User pays platform usage costs: No. Platform compute/proxy usage for this Actor is included — you pay the event prices above, not separate Apify usage on top.
Example cost estimates
| Results collected | Approx. event cost* |
|---|---|
| 100 | ~$0.31 |
| 1,000 | ~$3.01 |
| 10,000 | ~$30.01 |
*Assumes one Actor start at default memory billing for start events, plus $0.003 per Dataset item. Exact start billing can scale with allocated memory (one start event per GB, minimum one).
Free Apify trial credit can cover a small test run — try maxResults: 5 first.
Free Apify plan limits (set by this Actor's developer)
| Limit | Free Apify plan | Paid Apify plan |
|---|---|---|
| Runs of this Actor | 10 runs total | Unlimited |
Results per run (maxResults) | Up to 500 | Up to 500 |
When the run cap is hit, the run finishes with a clear status message — not an Apify platform error. Paying Apify users are not subject to the run cap.
Input
Funda Scraper has the following input options. Open the Input tab for the full form.
| Field | Description |
|---|---|
channel | koop / huur / nieuwbouw / makelaar / map |
selectedArea | Single Funda area slug (city, province, postal, or nl) |
selectedAreas | Batch multiple areas; Actor calls the worker per area and dedupes by urlId |
postalCode | Optional Dutch postal code |
objectType | house / apartment / parking / land / storage / office / garage |
price | e.g. Max-750000 or Min-200000-Max-500000 |
sort | e.g. price.selling_price_asc, date_down, floor_area_desc |
officeId / officeUrl | Required for channel=makelaar |
mapListingType / bbox / zoom | Map (kaart) options when channel=map |
locale | nl (default) or en for /en/detail/... pages |
enrichDetails | Fetch listing detail kenmerken after SERP |
enrichMedia | After detail, fetch fotos / plattegronden / videos / 360 / kadaster |
detailUrls | Scrape specific Funda detail URLs |
maxResults / maxPages | Cap Dataset rows and SERP pages |
Example: scrape Funda koop listings in Amsterdam
{"selectedArea": "amsterdam","channel": "koop","maxResults": 20,"maxPages": 1,"sort": "date_down"}
Example: scrape Funda listings in multiple cities
{"selectedAreas": ["amsterdam", "utrecht"],"channel": "koop","maxResults": 40,"maxPages": 1}
Example: scrape Funda huur (rent) apartments
{"selectedArea": "rotterdam","channel": "huur","objectType": "apartment","price": "Max-2000","maxResults": 25}
Example: scrape Funda nieuwbouw
{"selectedArea": "amsterdam","channel": "nieuwbouw","maxResults": 20,"maxPages": 1}
Example: scrape a Funda makelaar office
{"channel": "makelaar","officeId": "25050","maxResults": 20}
Example: Funda detail URLs with media (English)
{"detailUrls": ["https://www.funda.nl/detail/koop/amsterdam/appartement-keizersgracht-401-a/43022122/"],"locale": "en","enrichDetails": true,"enrichMedia": true,"maxResults": 5}
Output example
You can download the dataset extracted by Funda Scraper in JSON, HTML, CSV, Excel, XML, or RSS.
Each Dataset item looks like this (koop search):
{"name": "Geervliet 70 1082 NV Amsterdam","type": "listing","status": "active","country": "NL","authority": "funda.nl","brand": "funda","channel": "koop","listingId": "44445204","urlId": "44445204","listingUrl": "https://www.funda.nl/detail/koop/amsterdam/appartement-geervliet-70/44445204/","streetAddress": "Geervliet 70 1082 NV Amsterdam","city": "Amsterdam","postalCode": "1082NV","price": 575000,"priceCurrency": "EUR","priceDisplay": "€ 575.000","floorArea": "86","rooms": 2,"energyLabel": "B","agentName": "Van de Steege Makelaarsgroep Amsterdam-West","contentDepth": "guest_preview","scrapedAt": "2026-07-23T08:47:27.000000+00:00"}
Detail / media runs add features, images, media, cadastral, and optionally internalListingId. Nieuwbouw rows set constructionType=newly_built. Makelaar runs emit an office row plus linked listing URLs when present.
Diagnostics live in the key-value store as RUN_SUMMARY, INPUT_ECHO, and ERROR_SUMMARY.
How many Funda results can this scraper return?
Throughput depends on area popularity and Funda edge behavior.
- Koop / huur / nieuwbouw SERP: typically ~15 cards per page;
maxPageswalks real?page=NURLs - Detail: one rich listing row per URL (optional media tabs)
- Makelaar: one office overview plus linked listing URLs when the office page exposes them
- Map (kaart): client-hydrated map shells may return fewer cards; check
RUN_SUMMARY.warningsif empty
Results can vary day to day because Funda pages are dynamic and protected. A short test run is the best way to estimate volume for your query.
Which Funda areas are supported?
Use Funda selected_area slugs. Common values include:
| Area type | Examples |
|---|---|
| Cities | amsterdam, rotterdam, utrecht, den-haag, eindhoven, groningen |
| Provinces | noord-holland, zuid-holland, utrecht, gelderland, noord-brabant, … |
| Nationwide | nl |
| Postal | Dutch postcode slug / postalCode input |
The worker /v1/categories catalog exposes cities, provinces, channels, object types, and sort options used by this Actor.
Tips for scraping Funda data
- Start small (
maxResults: 5–10) to validate filters before large runs - Prefer
selectedAreasfor multi-city jobs — results are deduped byurlId - Use
enrichDetails/enrichMediaonly when you need kenmerken or photos (extra page fetches) - For rentals, set
channel: "huur"and apricecap such asMax-2000 - For nieuwbouw, use
channel: "nieuwbouw"(forces newly built construction filter) - Schedule daily/weekly runs from Apify Schedules to track inventory changes
Can I use this as a Funda API alternative?
Yes — for many Dutch housing-market and lead-gen workflows. Funda does not offer a public bulk listings API comparable to Store scrapers, so teams use Actors like this to collect:
- Searchable Funda koop / huur / nieuwbouw listings as structured data
- Detail kenmerken (features) and media assets when enrich flags are on
- Makelaar office pages and linked inventory
You can also pull results through the Apify API tab, webhooks, or integrations (Make, Zapier, n8n, Google Sheets).
Always respect Funda’s terms, robots rules, and applicable laws (including GDPR for personal data). Do not use scraped data to spam owners or bypass contact forms. This Actor does not unlock login-gated Funda fields.
Is it legal to scrape Funda.nl?
Our scrapers are designed to extract publicly available information. You should not scrape personal data unless you have a legitimate reason to do so. Personal data is protected by the GDPR in the European Union and by other regulations around the world. If you are unsure whether your use case is legitimate, consult your lawyers. Always review Funda’s terms of service and robots policy for your jurisdiction.
This Actor only collects guest-visible Funda content (contentDepth=guest_preview) and does not unlock signed-in fields.
FAQ
How do I scrape Funda houses for sale in Amsterdam?
Set channel to koop, selectedArea to amsterdam, optionally set objectType to house, then start the run.
How do I scrape Funda rentals (huur)?
Set channel to huur and choose an area. Use price like Max-2000 for monthly rent caps when supported by Funda’s search URL.
How do I scrape Funda nieuwbouw projects?
Set channel to nieuwbouw. The Actor forces construction_type=newly_built and stamps constructionType on output rows.
How do I scrape multiple Dutch cities in one run?
Pass selectedAreas: ["amsterdam", "utrecht", ...] (or more). The Actor calls the worker per area, dedupes by urlId, and merges into one Dataset.
How do I get English Funda detail pages?
Set locale to en (with enrichDetails or detailUrls). Detail URLs are normalized to /en/detail/... when available.
Does this unlock signed-in Funda content?
No. Rows are marked contentDepth=guest_preview. Login-gated kenmerken are flagged only — not unlocked.
What happens if Akamai blocks a request?
The worker uses a headed browser session with NL residential proxy and challenge wait. Check RUN_SUMMARY.warnings for details. Partial datasets may still be returned.
Can I schedule recurring Funda scrapes?
Yes. Use Apify Schedules or the API/client to run the Actor on a cron and append or replace datasets over time.
Do I need a Funda API key?
No. The Actor scrapes public Funda pages through a managed worker. Store runs use the Actor’s configured worker secret automatically.
How do I scrape Funda data with Python or JavaScript?
Use the official Apify API client / Python client to start the Actor and fetch the Dataset — same as any other Store Actor.
Why did my free-plan run stop after 10 runs?
Free Apify plan users get 10 runs of this Actor and up to 500 results per run. These limits are set by the Actor developer (not Apify). When you hit the run cap, the run finishes with a clear status message — it is not a platform bug. Upgrade to a paid Apify plan for unlimited runs.
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Support
Questions, bugs, or feature requests? Use the Actor Issues tab or contact the developer through Apify. Feedback on filters, cities, or enrich depth helps prioritize the roadmap.