Funda Scraper

Extract Funda property listings, broker offices and area statistics as exportable rows for Dutch real-estate research.

• Search homes for sale, rentals and new-build properties.
• Collect several Dutch areas or specific listing URLs in one run.
• Get prices, floor areas, rooms, energy labels and public broker contacts.
• Add property features and media when available.
• Pay $3.00 per 1,000 delivered rows on the Free plan, plus a small start fee.

What does Funda Scraper do?

Funda Scraper collects public data from Funda.nl for property research, price monitoring and agency directories. Each row represents a listing, project, office, area or insights record; rowType identifies it.

• Property search: koop for sale, huur for rent and nieuwbouw for new builds.
• Other channels: makelaar for offices, map for map search, sitemap for URL inventory, suggest for area suggestions and insights for area statistics.
• Specific listings: detailUrls collects the links you supply instead of an area search.
• Enrichment: enrichDetails and enrichLead default to true; enrichMedia and sitemapDetails default to false. They add fields to the same row, not separately billed contact or photo rows.

What data can you extract from Funda?

Fields depend on the channel and public availability. Missing values remain empty or absent. Examples below are illustrative, not current listings or valuations.

Listing rows

Field	Description	Example
rowType	Entity category	listing
id	String identifier	43000000
listingUrl	Funda detail link	https://www.funda.nl/detail/koop/amsterdam/appartement-example-street-1/43000000/
address	Structured property address	{"street":"Example Street","unit":"1","locality":"Amsterdam"}
city	City	Amsterdam
price	Asking price or rent; usually numeric	450000
priceCurrency	Currency when a price is present	EUR
floorArea	Living area in square metres	85
rooms	Room count	4
bedrooms	Bedroom count	3
energyLabel	Published energy rating	A
agentName	Property agency name	Example Agency
features	Detailed property characteristics	{"overdracht.Aanvaarding":"In overleg"}
media	Available photos, floor plans and videos	{"photos":[]}
contentDepth	Public-access scope	guest_preview

Project rows

New-build searches can return individual listings as well as projects.

Field	Description	Example
rowType	Project category	project
name	Project name	Example Development
listingKind	Grouped offering when provided	group
constructionType	Construction category	newly_built
listingUrl	Project page	https://www.funda.nl/nieuwbouw/
id	Project identifier	43000001
city	Project location	Amsterdam
price	Price when supplied	450000
floorArea	Area when supplied, in square metres	85
status	Availability when supplied	active

Office rows

Field	Description	Example
rowType	Office category	office
officeName	Brokerage name	Example Agency
officeUrl	Office page	https://www.funda.nl/makelaar/12345-example-agency/
phones	Public office phone numbers	[{"value":"+1 555 0100","type":"landline"}]
emails	Public office email addresses	[{"value":"name@example.com","type":"office"}]
listingUrls	Office listing links	[]
id	Office identifier	12345
address	Structured office address	{"street":"Example Street","unit":"1"}
web	Office website and social links	{"website":"https://example.com","socials":[]}
employeeCount	Published employee count	5

Area rows

Field	Description	Example
rowType	Suggestion category	area
name	Display name	Amsterdam
geoIdentifier	Value usable in selectedArea	amsterdam
areaType	Funda area classification	Plaats
listingCount	Published listing count	120
id	Area identifier	amsterdam
type	Preview category	area
exact	Exact-match indicator	true
country	Country code	NL
scrapedAt	Collection timestamp	2026-10-24T00:00:00Z

Insights rows

Field	Description	Example
rowType	Statistics category	insights
insightsCity	Requested city	amsterdam
population	Published population	100000
averageAskingPrice	Asking-price statistics	{"value":450000}
averageAskingPricePerM2	Price-per-square-metre statistics	{"value":5000}
averageSellingTimeInDays	Selling-time statistics	{"value":30}
id	City identifier	amsterdam
province	Province name	Noord-Holland
ageGroups	Population age breakdown	[]
householdSituation	Household breakdown	[]

How to scrape Funda

1. Open Funda Scraper in Apify Console.
2. Fill selectedArea, such as amsterdam, and choose channel.
3. Set maxResults to 3 for a small first run.
4. Click Start and wait for completion.
5. Download the dataset or read it through the API.

An empty input starts an Amsterdam koop example with at most 3 rows from the form's sample values. Normal event charges apply. A single area field is enough for the default sale search; other channels still require channel. There is no public mode field.

Sale search

Use channel: "koop" and an area. selectedAreas accepts several areas; duplicate entities across them are delivered once.

Rental search

Use channel: "huur". A price filter such as Max-2000 limits the advertised rent.

New-build search

Use channel: "nieuwbouw". When omitted, constructionType becomes newly_built.

Specific listings

Fill detailUrls with Funda listing links. Leave channel on a property channel rather than combining it with office or statistics queries.

Office lookup

Set channel: "makelaar" and supply officeId or officeUrl. An office ID alone does not select this channel.

Map search

Set channel: "map", bbox and mapListingType. Coordinates use longitude first.

Sitemap inventory

Set channel: "sitemap" and select sitemapBuckets; no area is needed. Rows contain URLs and modification dates unless details are requested.

Area suggestions

Set channel: "suggest" and use selectedArea as the search text. Returned geoIdentifier values can be used in later searches.

Area insights

Set channel: "insights" and a city. Each available city produces one statistics row, not one row per property.

What to fill in

Field	What to enter	Default
selectedArea	City, province, neighbourhood, postcode or nl	Empty; sample amsterdam
selectedAreas	Array of area names or slugs	Empty
detailUrls	Array of Funda listing links	Empty
officeUrl	Funda office link with channel: "makelaar"	Empty
officeId	Numeric office ID as a string	Empty
postalCode	Dutch postcode when no area is supplied	Empty
channel	A channel described above; sale and rent are aliases	koop
maxResults	Rows per area or detail URL; 1–500	70; form sample 3
maxPages	Search pages per area; 1–50	1
mapListingType	koop or huur for map search	koop
bbox	minLon,minLat,maxLon,maxLat	Empty
zoom	Map zoom level	Unset
objectType	house, apartment, parking, land, storage, office, garage	Empty
price	Funda range, such as Min-200000-Max-500000	Empty
sort	Funda sorting value, such as price.selling_price_asc	Empty
constructionType	Construction filter, such as newly_built	Empty
locale	nl or en for detail pages	nl
enrichDetails	Include detail-page characteristics	true
enrichLead	Include public broker office contacts	true
enrichMedia	Include additional media where available	false
sitemapBuckets	koop, huur, nieuwbouw, recreatie, europe	["koop"]
sitemapDetails	Add details to sitemap rows	false
fields	Requested output fields, such as ["price","city"]	[]
includeRaw	Include available original source data	false

fields also selects the detail information needed; requesting contact or media fields can enable that enrichment. Identity fields remain in the output.

Sale search across two areas:

{"channel":"koop","selectedAreas":["amsterdam","utrecht"],"maxResults":3}

Rentals:

{"channel":"huur","selectedArea":"rotterdam","objectType":"apartment","price":"Max-2000","maxResults":3}

New builds:

{"channel":"nieuwbouw","selectedArea":"amsterdam","maxResults":3}

Specific listing: replace this illustrative URL with a current Funda link.

{"detailUrls":["https://www.funda.nl/detail/koop/amsterdam/appartement-example-street-1/43000000/"],"locale":"en","enrichMedia":true,"maxResults":1}

Office: replace the illustrative ID with the office's real ID.

{"channel":"makelaar","officeId":"12345","maxResults":1}

Map:

{"channel":"map","bbox":"4.85,52.35,4.95,52.40","mapListingType":"koop","maxResults":3}

Sitemap:

{"channel":"sitemap","sitemapBuckets":["koop"],"maxResults":3}

Suggestions:

{"channel":"suggest","selectedArea":"amsterdam","maxResults":3}

Insights:

{"channel":"insights","selectedArea":"amsterdam","maxResults":1}

• maxItems and limit are accepted as aliases of maxResults.
• Close field-name misspellings are corrected; other unknown fields are ignored with a note. Some invalid filters, such as an unsupported locale, are ignored; an invalid channel still fails.
• Invalid targets fail before row delivery with INVALID_INPUT:, followed by the field and correction, such as detailUrls must be funda.nl listing links. No rows are charged; the start fee can still apply.
• Every run writes INPUT_REPORT to its default key-value store, showing filled, corrected and ignored fields and whether it used the example input.

Output example

Illustrative listing row with a placeholder address:

{
  "id": "43000000",
  "rowType": "listing",
  "type": "listing",
  "country": "NL",
  "authority": "funda.nl",
  "name": "Example Street 1",
  "channel": "koop",
  "listingUrl": "https://www.funda.nl/detail/koop/amsterdam/appartement-example-street-1/43000000/",
  "city": "Amsterdam",
  "price": 450000,
  "priceCurrency": "EUR",
  "floorArea": 85,
  "rooms": 4,
  "energyLabel": "A",
  "contentDepth": "guest_preview"
}

Export the dataset as JSON, CSV, Excel, XML, RSS or an HTML table. Nested fields such as media are easiest to preserve in JSON.

Why use this Funda scraper?

• Delivery-based billing: row charges apply to rows written to the dataset, plus the start fee.
• Partial results: rows returned before a handled stop or deadline can still be delivered. Already written rows remain available; a forced termination cannot guarantee delivery of unfinished work.
• Clear reporting: RUN_SUMMARY records partial results and failed or skipped areas; ERROR_SUMMARY records failures.
• Source-based values: absent information is not invented.
• Batch input: combine several areas or listing URLs in one run.
• No proxy setup: you do not need to set up proxies.

How much does it cost to scrape Funda?

The Actor uses pay-per-event pricing. The start event costs $0.005 per GB of allocated memory, with a minimum of one event. Default memory is 1024 MB, so a normal start costs $0.005. Platform usage is included in these prices.

Apify plan	Start at 1024 MB	Price per row	Price per 1,000 rows
Free	$0.005	$0.003	$3.00
Starter	$0.005	$0.003	$3.00
Scale	$0.005	$0.0026	$2.60
Business	$0.005	$0.0022	$2.20

maxResults applies to each selected area or detail URL, defaults to 70 and accepts up to 500. Larger requests are collected in parts of 70. All row types count together; maxPages, availability and duplicate removal can reduce the number delivered.

The Free plan is limited to 200 rows per run and 10 runs of this Actor. These are limits set by the publisher. Paid plans do not have the 10-run cap. Set Maximum cost per run (maxTotalChargeUsd in the API) to cap the whole run's charges.

Example: two areas delivering 3 distinct rows each give 6 rows. On the Free plan at 1024 MB, the cost is 6 × $0.003 + $0.005 = $0.023 for one normal start.

What happens when the run timeout is too short

For a single-query run, automatic resumption can pause the run when collection needs longer than the chosen timeout. Multi-area runs keep waiting instead. When resumption is accepted, the status message is:

Queued on the collection backend; this run will resume automatically when results are ready (about N s).

The run temporarily appears as ABORTED. Once results are ready, the same run resumes, reports Resumed: delivering N rows., writes to the same dataset and finishes as SUCCEEDED if delivery succeeds. Already delivered rows are skipped, not delivered or charged twice. No manual restart is needed for this pause.

• The resume-attempt limit is 3. Keep the default timeout of 3600 seconds to reduce interruptions.
• If resumption is unavailable or refused, the run waits within its remaining time; genuine failures can still occur.
• run-sync and run-sync-get-dataset-items wait at most 300 seconds and may return an empty dataset during a pause. For longer runs, start asynchronously and read the dataset after SUCCEEDED, or use a succeeded-event webhook.

Use with AI agents and the API

Apify MCP server

Add this remote server in Claude, ChatGPT, Cursor, VS Code or another compatible MCP client:

https://mcp.apify.com?tools=lentic_clockss/funda-scraper

Sign in with Apify through OAuth, or supply Authorization: Bearer <YOUR_APIFY_TOKEN>. The tool starts a run and returns run and dataset IDs; read rows with get-dataset-items. Clients without remote support can use npx @apify/actors-mcp-server --tools lentic_clockss/funda-scraper with APIFY_TOKEN set.

Example prompt: “Find three Funda rental apartments in Rotterdam with advertised rent up to EUR 2,000 and return their prices and URLs.”

Apify API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("lentic_clockss/funda-scraper").call(
    run_input={"channel": "koop", "selectedArea": "amsterdam", "maxResults": 3}
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('lentic_clockss/funda-scraper').call({
  channel: 'koop', selectedArea: 'amsterdam', maxResults: 3
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Over HTTP, send the JSON input to POST https://api.apify.com/v2/acts/lentic_clockss~funda-scraper/runs with an Authorization: Bearer header. After completion, read GET https://api.apify.com/v2/datasets/<datasetId>/items?format=json.

Integrations

Use the Actor's Integrations tab to connect Google Sheets, Make, Zapier, n8n, Slack, Airtable or your webhook. Apify Schedules can run recurring searches.

In het Nederlands

Met Funda Scraper verzamel je openbare woninggegevens van Funda in een exporteerbare tabel. Vul bij selectedArea een plaats in, bijvoorbeeld amsterdam, of gebruik selectedAreas voor meerdere gebieden. Kies koop voor koopwoningen, huur voor huurwoningen of nieuwbouw voor nieuwbouw. Voor een makelaarskantoor kies je makelaar en vul je officeId of officeUrl in. Begin met maxResults op 3 om de uitvoer te bekijken. Je ontvangt beschikbare prijzen, woonoppervlakten, kamers, energielabels en links. Niet-openbare gegevens blijven leeg. De kosten bestaan uit een startbedrag en een bedrag per geleverde rij. Download de resultaten als CSV, Excel of JSON. Stel vooraf een maximaal bedrag per uitvoering in.

FAQ

Is it legal to scrape Funda?

This Actor collects public data. You are responsible for checking Funda's terms and applicable data-protection law. Personal data requires a lawful basis; public availability alone does not authorize every reuse.

Why did my run end as ABORTED?

Read the status message. The automatic-resumption message described above means a temporary pause, not a completed failure. Other aborts, including manual stops, do not imply automatic resumption.

How many results can I get?

maxResults accepts 1–500 per input. Search availability, maxPages, the run's spending cap and Free-plan limits may reduce delivery. An office lookup or city-insights input normally returns one row.

Why are some fields empty?

Funda may not publish them, the chosen channel may not include them, or enrichment may be disabled or unsuccessful. loginGatedFields flags detected sign-in restrictions; it does not grant access.

Can I search several cities together?

Yes, use selectedAreas. Duplicate entities are removed across areas. If one area fails, available rows from other areas can still be delivered.

Can I get English descriptions?

Set locale to en for detail pages. This requests the English page where available; it does not promise translation of every source field.

Are broker contacts the homeowner's details?

No. Public office contacts are not private owner contacts. Contact forms and signed-in details are not exposed by this Actor.

Why did my Free-plan runs stop after ten runs?

The publisher allows 10 runs and at most 200 rows per run on the Free plan. A paid Apify plan removes that run-count cap.

Limitations

• Coverage focuses on Funda's Dutch property offering, not other property portals. A sitemap bucket is not a guarantee of complete geographic coverage.
• No signed-in content or guaranteed contact-field completeness. Rows use contentDepth: "guest_preview".
• Sitemap rows omit property details by default. Enable sitemapDetails or request relevant fields to add them.
• Image lists, individual media lists and office employee lists are capped at 50 entries; count fields can show larger totals. Oversized raw data is trimmed.
• Current searches are not a complete historical sales archive. Funda changes and unavailable pages can cause partial results or failures.

Related scrapers

More real estate and property data scrapers from the same publisher:

• Zumper Scraper
• Booli Scraper
• Craigslist Scraper
• PropertyGuru Scraper
• OpenSooq Scraper
• Apartments.com Rental Scraper
• Dot Property Scraper
• FINN.no Scraper

Browse all of our scrapers at apify.com/lentic_clockss.

Support

Report problems or request a field through the Issues tab of this Actor's page. Include the run ID and the input you used.