# Funda Scraper - Netherlands Real Estate Data (`logiover/funda-scraper`) Actor Funda.nl unofficial API alternative: scrape Dutch property listings without login, export makelaar leads and prices to CSV, JSON and Excel. - **URL**: https://apify.com/logiover/funda-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Real estate, Lead generation - **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README
Funda Scraper ## ๐Ÿ  Funda Scraper โ€” Netherlands Real Estate Data #### Scrape **funda.nl** Dutch property listings โ€” price, address, postcode, mยฒ, rooms, energy label **and the makelaar (estate agent)**


**The fastest way to turn any Funda.nl search into a clean dataset.** ๐Ÿ  Asking price ยท ๐Ÿ“ address, city & postcode ยท ๐Ÿ“ living area, plot & volume in mยฒ ยท ๐Ÿ›๏ธ rooms & bedrooms ยท โšก energy label ยท ๐Ÿง‘โ€๐Ÿ’ผ the **makelaar (estate agent)** behind every listing.
--- ### ๐Ÿš€ Why scrape Funda? Funda is the **#1 real-estate portal in the Netherlands** โ€” virtually every house and apartment for sale (*koop*) or rent (*huur*) in the country is listed there. This **Funda scraper** reads the site's own structured listing data, so you get every field **with no login and no API key**, and it paginates through the whole result set of any search. It's **two tools in one**: > ๐Ÿ  a **Dutch property dataset** โ€” for market analytics, price tracking, comps, dashboards & ML โ€” and > ๐ŸŽฏ a **Netherlands real-estate lead engine** โ€” every listing carries the **makelaar (estate agent) name**, so one run becomes a targeted agent list. --- ### โœจ What you get
#### ๐Ÿ  Property **Asking price** (EUR), property type (huis / appartement), **living area, plot & volume in mยฒ**, rooms, bedrooms, bathrooms, build year, **energy label**, status & acceptance. #### ๐Ÿ“ Location Street **address**, city, province/region and the **postcode** โ€” plus the canonical Funda listing URL and the main listing photo. #### ๐ŸŽฏ Agent & leads The **makelaar (estate agent)** offering each property โ€” perfect for building a Dutch real-estate outreach list by area or price band.
--- ### โšก Quick start Set your filters on Funda, copy the URL from the address bar, paste it in: ```json { "searchUrls": ["https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D"], "maxResults": 500 } ```` Scrape **multiple cities / buy + rent** in one run: ```json { "searchUrls": [ "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D", "https://www.funda.nl/zoeken/huur?selected_area=%5B%22rotterdam%22%5D" ], "maxResults": 2000 } ``` *** ### โš™๏ธ Input
FieldWhat it does
searchUrlsFunda.nl search URLs copied from the site. All your filters โ€” area, price, property type, buy/rent โ€” are read straight from the URL.
maxResultsGlobal cap across all searches. 0 = no limit.
maxResultsPerSearchPer-search cap. 0 = no cap.
listingTypeOptionally restrict to koop (buy) or huur (rent). any keeps whatever the URL returns.
useProxy / proxyConfigurationApify Proxy โ€” residential recommended (default) for Funda.
maxConcurrencyHow many search URLs to run in parallel.
*** ### ๐Ÿ“ค Output One clean row per listing: ```json { "id": "44488041", "url": "https://www.funda.nl/detail/koop/amsterdam/huis-ortler-91/44488041/", "listingType": "koop", "title": "Ortler 91", "address": "Ortler 91", "city": "Amsterdam", "region": "Noord-Holland", "postcode": "1060 NL", "price": 695000, "priceCurrency": "EUR", "priceRaw": "โ‚ฌ 695.000 kosten koper", "propertyType": "Eengezinswoning, tussenwoning", "livingArea": 145, "plotArea": 117, "volume": 462, "rooms": 5, "bedrooms": 4, "bathrooms": 2, "buildYear": 1995, "energyLabel": "A", "status": "Beschikbaar", "acceptance": "In overleg", "makelaar": "Nieuw West Makelaardij", "image": "https://cloud.funda.nl/valentina_media/230/121/950_1440x960.jpg", "imagesCount": 6, "scrapedAt": "2026-06-05T15:31:24.950Z" } ``` The **Output** tab also ships a ready-made Listings Overview table โ€” address, price, mยฒ, rooms, energy label and the makelaar. *** ### ๐ŸŽฏ Use cases | | Use case | How | |---|---|---| | ๐ŸŽฏ | **Estate-agent lead gen** | Build outreach lists of Dutch makelaars by area, price band or property type. | | ๐Ÿ“Š | **Market & price analytics** | Track price-per-mยฒ, inventory and koop-vs-huur across Dutch cities. | | ๐Ÿ—๏ธ | **Investor & developer research** | Map supply, build year and energy labels per neighbourhood. | | ๐Ÿงฎ | **Comps & valuation / AVM** | Feed living area, plot, rooms & price into Dutch pricing models. | | ๐Ÿ—‚๏ธ | **Portals & aggregators** | Power a property feed or dashboard from a scheduled run. | *** ### ๐Ÿค– Automate it Put it on an **Apify Schedule** โ†’ a fresh Funda listings feed every morning, straight to the **Apify API, a webhook, Google Sheet, S3** or your warehouse. Track new listings and price drops across the Dutch market on autopilot. *** ### โ“ FAQ
Do I need a Funda account or API key?
No. The actor reads public listing data โ€” no login, no token.
Does it handle both koop (buy) and huur (rent)?
Yes. Paste a /zoeken/koop?... or /zoeken/huur?... URL โ€” or mix both in one run. Use the listingType filter to force one or the other.
How do I filter by city, price or property type?
Apply the filters on Funda itself, then copy the resulting URL into searchUrls. Every filter encoded in the URL is respected, and the actor paginates the whole result set.
Why is residential proxy recommended?
Funda is anti-bot sensitive. Routing through Apify residential proxy (the default) gives by far the highest success rate. It is enabled out of the box.
Is scraping this allowed?
The actor collects publicly available listing data. You are responsible for complying with Funda's terms and your local regulations (including how you use estate-agent details).
#### Is this a Funda.nl API alternative? Yes. Funda has no public API, so this actor works as an unofficial Funda.nl API alternative โ€” it reads the site's own structured listing data and returns clean, machine-readable rows with no API key. #### How do I export Funda listings to CSV or JSON? Run the actor on any Funda search URL, then download the results from the Output tab as CSV, JSON or Excel โ€” or pull them straight from the Apify API. Every property and makelaar field is included. #### Can I scrape Funda without login? Yes. The scraper reads public funda.nl listing data without any login or account, paginating the full result set of your search behind Apify residential proxy.
*** ### ๐Ÿ“ Changelog #### 2026-06-07 - Docs: added coverage for Funda.nl unofficial API alternative, exporting listings to CSV/JSON and scraping Funda without login. ***
#### โ–ถ๏ธ Ready to run No login ยท No API key ยท JSON ยท CSV ยท Excel ยท API
# Actor input Schema ## `searchUrls` (type: `array`): Funda.nl search URLs copied straight from the site โ€” e.g. https://www.funda.nl/zoeken/koop?selected\_area=%5B%22amsterdam%22%5D (buy) or .../zoeken/huur?... (rent). Set all your filters (area, price, type) on Funda, then paste the result URL here. Add as many as you like. ## `maxResults` (type: `integer`): Stop after this many listings across all search URLs. 0 = no limit (a single search can span hundreds of pages). ## `maxResultsPerSearch` (type: `integer`): Cap listings per individual search URL. 0 = no per-search cap. ## `listingType` (type: `string`): Optionally restrict to koop (for sale) or huur (for rent). 'any' keeps whatever the search URL returns. ## `useProxy` (type: `boolean`): Route requests through Apify Proxy. Residential is strongly recommended for Funda and is the default. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. Residential gives the highest success rate on Funda. ## `maxConcurrency` (type: `integer`): How many search URLs to process in parallel. ## Actor input object example ```json { "searchUrls": [ "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" ], "maxResults": 200, "maxResultsPerSearch": 0, "listingType": "any", "useProxy": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 3 } ``` # Actor output Schema ## `id` (type: `string`): Listing ID ## `url` (type: `string`): Listing URL ## `listingType` (type: `string`): koop or huur ## `title` (type: `string`): Title ## `address` (type: `string`): Street address ## `city` (type: `string`): City ## `region` (type: `string`): Province / region ## `postcode` (type: `string`): Postcode ## `price` (type: `string`): Price (EUR) ## `priceCurrency` (type: `string`): Currency ## `priceRaw` (type: `string`): Raw price text ## `propertyType` (type: `string`): Property type ## `livingArea` (type: `string`): Living area in mยฒ ## `plotArea` (type: `string`): Plot area in mยฒ ## `volume` (type: `string`): Volume in mยณ ## `rooms` (type: `string`): Number of rooms ## `bedrooms` (type: `string`): Number of bedrooms ## `bathrooms` (type: `string`): Number of bathrooms ## `buildYear` (type: `string`): Year built ## `energyLabel` (type: `string`): Energy label ## `status` (type: `string`): Availability status ## `acceptance` (type: `string`): Acceptance / aanvaarding ## `makelaar` (type: `string`): Estate agent name (when present in page copy) ## `brokerId` (type: `string`): Funda broker (estate agency) numeric ID ## `brokerAssociation` (type: `string`): Agency association, e.g. nvm / vbo / vastgoedpro ## `makelaarUrl` (type: `string`): Link to the agency's Funda page ## `image` (type: `string`): Main image URL ## `imagesCount` (type: `string`): Number of images ## `scrapedAt` (type: `string`): Scraped at # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchUrls": [ "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" ] }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/funda-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchUrls": ["https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D"] } # Run the Actor and wait for it to finish run = client.actor("logiover/funda-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrls": [ "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" ] }' | apify call logiover/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/funda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda Scraper - Netherlands Real Estate Data", "description": "Funda.nl unofficial API alternative: scrape Dutch property listings without login, export makelaar leads and prices to CSV, JSON and Excel.", "version": "1.0", "x-build-id": "cK1B2g0dTDhxcTT0P" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~funda-scraper/runs": { "post": { "operationId": "runs-sync-logiover-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~funda-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "Funda.nl search URLs copied straight from the site โ€” e.g. https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D (buy) or .../zoeken/huur?... (rent). Set all your filters (area, price, type) on Funda, then paste the result URL here. Add as many as you like.", "items": { "type": "string" } }, "maxResults": { "title": "Max results (total)", "minimum": 0, "type": "integer", "description": "Stop after this many listings across all search URLs. 0 = no limit (a single search can span hundreds of pages).", "default": 200 }, "maxResultsPerSearch": { "title": "Max results per search", "minimum": 0, "type": "integer", "description": "Cap listings per individual search URL. 0 = no per-search cap.", "default": 0 }, "listingType": { "title": "Listing type filter", "enum": [ "any", "koop", "huur" ], "type": "string", "description": "Optionally restrict to koop (for sale) or huur (for rent). 'any' keeps whatever the search URL returns.", "default": "any" }, "useProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy. Residential is strongly recommended for Funda and is the default.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. Residential gives the highest success rate on Funda.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Max concurrent searches", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many search URLs to process in parallel.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```