# πŸ‡³πŸ‡± Funda Netherlands Scraper | Real Estate Listings (`misterkhan/funda-nl-scraper`) Actor Extract property listings from Funda Netherlands (funda.nl) across Amsterdam, Rotterdam & Utrecht β€” prices in EUR, bedrooms, bathrooms, floor area, addresses, coordinates, photos & agent details. - **URL**: https://apify.com/misterkhan/funda-nl-scraper.md - **Developed by:** [Khan](https://apify.com/misterkhan) (community) - **Categories:** Real estate, AI, Automation - **Security:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### What does Funda Netherlands Scraper do? Funda Netherlands Scraper is an Apify Actor that extracts residential and commercial real estate listings from **Funda** (funda.nl)β€”the undisputed #1 property search portal in the Netherlands. It captures asking prices in Euros (`price`), property addresses and postal codes (`address`, `location`), living area square meters (`area`, `area_sqm`), headline property titles (`title`), direct photo URLs (`image_url`), canonical property links (`url`), and unique Funda listing identifiers (`id`, `listing_id`, `property_id`). Whether you are analyzing market prices across Amsterdam, Rotterdam, The Hague, Utrecht, Eindhoven, or Groningen, tracking Dutch housing shortage dynamics, monitoring new broker listings across the Randstad, or sourcing buy-to-let investments in the Netherlands, this Actor provides structured, real-time property intelligence at scale with zero proxy setup. *** > πŸ›‘οΈ **Zero Proxy Configuration Required:** Netherlands residential IP routing and anti-bot mitigation are **handled automatically on the backend** β€” just paste your Funda search URLs and click **Start**. ### What data can you extract with Funda Netherlands Scraper? **πŸ’Ά Asking Price & Currency** β€” formatted Dutch market price in `price` (e.g. € 1.075.000 k.k.), `currency` (EUR), and unique Funda listing identifier in `id`, `listing_id`, and `property_id`
**🏠 Property Headline & Living Space** β€” listing headline `title` and living area surface in `area` and `area_sqm` (e.g. 132 mΒ²)
**πŸ“ Address & Location** β€” Dutch postal district and city in `address` and `location` (e.g. 1077 ZR Amsterdam), `country` (`NL`), and `portal` identifier (funda.nl)
**πŸ“Έ Listing Photography** β€” high-resolution property photograph in `image_url`
**πŸ”— Direct Links** β€” canonical listing link `url` directly on funda.nl
*** ### Why scrape real estate listings from Funda Netherlands? **πŸ’ͺ Comprehensive Dutch Market Monopoly** β€” Funda holds over 90% market coverage in the Netherlands, listing nearly every property represented by NVM, VBO, and Vastgoedpro brokers
**πŸ•΅οΈ Real-Time Randstad Price Tracking** β€” monitor rapid price changes and newly published listings across Amsterdam, Rotterdam, Utrecht, and Den Haag
**✨ Clean Standardized Dimensions** β€” capture exact living area surface in square meters (mΒ²) for valuation benchmarking
**πŸ‘ Seamless Search Filter Compatibility** β€” apply Funda filters for koop (sale), huur (rent), price ranges, and municipalities, and paste the search URL directly
**πŸ“© Real-Time Dataset Streaming** β€” listings stream directly into your Apify dataset as they are fetched, ready for live export to Google Sheets, BigQuery, Airtable, Make, or n8n
*** ### How do I use Funda Netherlands Scraper? Funda Netherlands Scraper is built for immediate, zero-configuration operation in Apify Console: 1. Click **Try for free** on the Actor page to open Apify Console. 2. Search on funda.nl, apply any filters (koop, huur, provincie, prijs, oppervlakte), and copy the search result URL from your browser. 3. Paste one or more search URLs into **Start URLs** (`startUrls`) (for example: `https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D`). 4. Set **Max Results** (`maxItems`) to specify the maximum number of listings to collect. 5. Click **Start** and watch structured property records stream into the dataset log in real time. 6. Download your dataset from the **Output** or **Dataset** tab in **JSON, CSV, Excel (.xlsx), or HTML table** format. *** ### Input Funda Netherlands Scraper accepts a clean 2-parameter JSON configuration. Click on the [Input tab](https://apify.com/misterkhan/funda-nl-scraper/input-schema) for the interactive form. ```json { "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" } ], "maxItems": 40 } ``` **🌐 Start URLs (`startUrls`)** β€” one or more funda.nl search result URLs or property listing URLs
**πŸ”’ Max Results (`maxItems`)** β€” maximum number of property listings to collect per run (default: 40; free accounts can collect up to 40 items per run, while paid Apify plans support unlimited bulk runs)
*** ### Output sample Results stream in real time into your default Apify Dataset. Below is an excerpt of a real record extracted from funda.nl: ```json [ { "id": "44667073", "listing_id": "44667073", "property_id": "44667073", "title": "Courbetstraat 19-3", "price": "€ 1.075.000 k.k.", "currency": "EUR", "area": "132 mΒ²", "area_sqm": "132 mΒ²", "address": "1077 ZR Amsterdam", "location": "1077 ZR Amsterdam", "image_url": "https://cloud.funda.nl/tiara-media/fa910f59-3245-43f6-a08d-1263172ebe20/b948844c-b711-499b-8e4c-56f9c101b012?options=width=720", "portal": "funda.nl", "country": "NL", "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-courbetstraat-19-3/44667073/" } ] ``` *** ### How much does it cost to scrape Funda Netherlands? This Actor uses transparent **Pay-Per-Event (Pay-Per-Result)** pricing with a **`$0.00` Actor run start fee**: **πŸ†“ Free Plan** β€” $0.005 per item ($5.00 / 1K) with up to 40 items per run
**πŸ₯‰ Bronze Plan** β€” $0.0012 per item ($1.20 / 1K) with unlimited scale
**πŸ₯ˆ Silver Plan** β€” $0.00085 per item ($0.85 / 1K) with unlimited scale
**πŸ₯‡ Gold Plan** β€” $0.0006 per item ($0.60 / 1K) with highest priority execution
You only pay for successful listings extracted. Failed runs or empty pages incur zero platform cost. *** ### Integrations Connect Funda Netherlands Scraper to downstream workflows using Apify's native integrations: **πŸ“Š Cloud Spreadsheets** β€” stream new Funda listings automatically to Google Sheets or Airtable
**⚑ Automation Workflows** β€” trigger Make (Integromat), Zapier, or n8n webhooks on every run
**πŸ’Ύ Data Warehouses** β€” pipe real estate datasets directly into Snowflake, BigQuery, or Amazon S3
**πŸ”” Webhook Notifications** β€” send Slack, Discord, or email alerts when new properties match your target price brackets
*** *** ### Using Funda Netherlands Scraper with AI Agents and Apify MCP This Actor is optimized as an on-demand tool for AI developer assistants, Claude Desktop, Cursor, and autonomous agent workflows connected via the official Apify MCP Server (`https://mcp.apify.com`). **Example prompts for Claude Desktop and Cursor:**
β€’ Search Funda.nl for apartments in Amsterdam under €750,000 and summarize price per square meter.
β€’ Extract the latest residential listings in Rotterdam and compare square meter pricing.
β€’ Find investment properties in Utrecht with floor area above 100 sqm.
**Agent tool advantages:**
β€’ **Natural location input** β€” Pass simple city or neighborhood names (e.g. Amsterdam, Rotterdam) without constructing complex portal URLs.
β€’ **Sub-second Rust streaming** β€” Returns live listings in 3 to 4 seconds to prevent agent tool-call timeouts.
β€’ **Context-protective JSON** β€” Clean, normalized real estate fields designed to fit efficiently inside LLM prompt context windows.
β€’ **Pay-Per-Event pricing** β€” Only pay per extracted property listing with zero platform start fees.
### Frequently Asked Questions **Can I scrape other cities besides Amsterdam?**
Yes. Search on funda.nl for any Dutch city, province, or neighborhood (e.g. Rotterdam, Utrecht, Den Haag, Eindhoven, Groningen), copy the search URL, and paste it into `startUrls`. **Does this Actor require my own proxies?**
No. Anti-bot mitigation, browser stealth, and Dutch residential routing are handled entirely on the backend. **What formats can I export my dataset to?**
Apify supports one-click exports to JSON, CSV, Excel (.xlsx), XML, and RSS. # Actor input Schema ## `location` (type: `string`): Dutch municipality, city, or neighborhood (e.g. 'Amsterdam', 'Rotterdam', 'Utrecht'). When provided, startUrls is optional. ## `startUrls` (type: `array`): Paste one or more Funda Netherlands (funda.nl) search or listing URLs (e.g., `https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D`). ## `maxItems` (type: `integer`): Maximum number of property listings to collect (Free plan runs collect up to 40 results per run; paid plans support unlimited results). ## Actor input object example ```json { "location": "Amsterdam", "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" } ], "maxItems": 20 } ``` # Actor output Schema ## `results` (type: `string`): All extracted property listings from Funda Netherlands (funda.nl). ## `usage_summary` (type: `string`): Execution telemetry and extraction summary stored in the default key-value store. # 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 = { "location": "Amsterdam", "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" } ], "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("misterkhan/funda-nl-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "location": "Amsterdam", "startUrls": [{ "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" }], "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("misterkhan/funda-nl-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "location": "Amsterdam", "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=%5B%22amsterdam%22%5D" } ], "maxItems": 20 }' | apify call misterkhan/funda-nl-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,misterkhan/funda-nl-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/qAhUMFW79QtUEzF4Q/builds/8bVMBZWiktELMDual/openapi.json