# Funda.nl Real Estate Scraper (`jungle_synthesizer/funda-scraper`) Actor Scrape Dutch real-estate listings from Funda.nl — price, living area, plot size, rooms, bedrooms, energy label, address, city, neighborhood, images, and agent. - **URL**: https://apify.com/jungle\_synthesizer/funda-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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.nl Real Estate Scraper Extract Dutch property listings from [Funda.nl](https://www.funda.nl) — the Netherlands' largest real estate platform. Provide your own search URLs or use the default nationwide for-sale search. For each listing the scraper returns the full set of advertised details: price, address, city, neighborhood, postal code, living area, plot area, rooms, bedrooms, energy label, property type, construction year, agent details, description, and images. ### What does it scrape? - **For-sale listings (koop)** — houses, apartments, and other residential properties listed for purchase - **Rental listings (huur)** — long-term residential rentals For each property card the scraper follows the detail URL and extracts: | Field | Description | |---|---| | `url` | Listing URL on funda.nl | | `listing_id` | Funda listing identifier | | `title` | Listing title (address + city) | | `address` | Street address | | `city` | City name | | `neighborhood` | Neighborhood or district | | `postal_code` | Dutch postal code | | `price` | Asking price as displayed (e.g. "€ 450.000 k.k.") | | `price_raw` | Numeric price value in euros | | `living_area_m2` | Living area in square metres | | `plot_area_m2` | Plot area in square metres | | `rooms` | Total number of rooms | | `bedrooms` | Number of bedrooms | | `energy_label` | Dutch energy efficiency label (A++, A+, A … G) | | `listing_type` | Transaction type: koop or huur | | `property_type` | Property type (woonhuis, appartement, etc.) | | `construction_year` | Year of construction | | `images` | Image URLs (JSON array string) | | `agent_name` | Name of the real estate agent | | `agent_url` | URL to the agent's funda.nl profile | | `description` | Full listing description text | | `status` | Listing status (beschikbaar, verkocht, etc.) | | `scraped_at` | ISO 8601 timestamp of when this record was scraped | ### How to use it #### Default run Leave **Start URLs** empty to scrape the nationwide for-sale search. Set **Max Items** to control how many listings to collect. #### Custom search URLs Paste any Funda.nl search URL into **Start URLs**. You can filter by city, region, price range, property type, etc. directly on funda.nl and then copy the URL. Examples: - Amsterdam for-sale: `https://www.funda.nl/zoeken/kopen/?selected_area=[%22amsterdam%22]` - Rotterdam rentals: `https://www.funda.nl/zoeken/huur/?selected_area=[%22rotterdam%22]` - Nationwide rentals: `https://www.funda.nl/zoeken/huur/?selected_area=[%22nederland%22]` You can also provide direct listing detail URLs to scrape individual properties. #### Listing type Set **Listing Type** to `kopen` (for sale, default) or `huur` (for rent). This setting is used when building default search URLs. ### Input configuration | Parameter | Type | Default | Description | |---|---|---|---| | `maxItems` | integer | 10 | Maximum number of listings to scrape | | `startUrls` | array | NL nationwide | Funda.nl search or listing URLs | | `listingType` | string | kopen | `kopen` (for sale) or `huur` (for rent) | ### Technical notes Funda.nl uses Akamai Bot Manager to protect its listings. This scraper uses a full Playwright (Chrome) browser with Netherlands residential proxies to reliably bypass the protection and retrieve real listing data. Memory usage is higher than a standard scraper due to the browser requirement. ### Output Results are stored in the **Dataset** tab of your run. Download as JSON, CSV, JSONL, or Excel from the Apify console. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of listings to scrape (across all pages) ## `startUrls` (type: `array`): Funda.nl search or listing URLs to crawl. Leave empty to use the default Dutch nationwide for-sale listings. ## `listingType` (type: `string`): Type of listings to scrape: 'kopen' (for sale) or 'huur' (for rent) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.funda.nl/zoeken/kopen/?selected_area=[%22nederland%22]&search_result=1" } ], "listingType": "kopen" } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.funda.nl/zoeken/kopen/?selected_area=[%22nederland%22]&search_result=1" } ], "listingType": "kopen" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/funda-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [{ "url": "https://www.funda.nl/zoeken/kopen/?selected_area=[%22nederland%22]&search_result=1" }], "listingType": "kopen", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/funda-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.funda.nl/zoeken/kopen/?selected_area=[%22nederland%22]&search_result=1" } ], "listingType": "kopen" }' | apify call jungle_synthesizer/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/funda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda.nl Real Estate Scraper", "description": "Scrape Dutch real-estate listings from Funda.nl — price, living area, plot size, rooms, bedrooms, energy label, address, city, neighborhood, images, and agent.", "version": "0.1", "x-build-id": "EXqc3w4xwWd0Uh2e1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-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/jungle_synthesizer~funda-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-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/jungle_synthesizer~funda-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape (across all pages)", "default": 10 }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Funda.nl search or listing URLs to crawl. Leave empty to use the default Dutch nationwide for-sale listings.", "items": { "type": "string" } }, "listingType": { "title": "Listing Type", "enum": [ "kopen", "huur" ], "type": "string", "description": "Type of listings to scrape: 'kopen' (for sale) or 'huur' (for rent)", "default": "kopen" } } }, "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 } } } } } } } } } } ```