# Funda.nl Real Estate Scraper (`parsebird/funda-scraper`) Actor Scrape Dutch real estate listings from Funda.nl — prices, photos, coordinates, characteristics, neighborhood data, and more. - **URL**: https://apify.com/parsebird/funda-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** Real estate, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.72 / 1,000 funda listing scrapeds 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 Scraper — Dutch Real Estate Data Extraction Scrape residential property listings from [Funda.nl](https://www.funda.nl), the Netherlands' largest real estate platform. Extract prices, photos, coordinates, property characteristics, neighborhood data, and more — powered by Funda's internal API for maximum speed and reliability.
Extract Dutch real estate listings with full property details — prices, characteristics, photos, floor plans, GPS coordinates, neighborhood data, and broker info. No browser rendering needed.

Funda Real Estate Suite   •  Dutch property market data
🏠  Funda.nl Scraper
➤ You are here
Residential properties — houses & apartments 		🏢  Funda in Business Scraper
Commercial properties — offices, retail, industrial
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parsebird/funda-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/funda-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: startUrls (array of {"url": "..."}, search or detail pages), searchTransactionType (string, "buy"/"rent", default "buy"), searchLocation (string, e.g. "amsterdam"), searchPriceMin (integer, EUR), searchPriceMax (integer, EUR), maxItems (integer, default 100), includeNeighborhoodData (boolean, default false), contentLanguage (string, "nl"/"en", default "en"), maxConcurrency (integer, default 3). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~funda-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` ### What does Funda.nl Scraper do? This Actor scrapes property listings from Funda.nl — the Netherlands' dominant real estate platform with 80%+ market share. It connects directly to Funda's internal listing API, bypassing the website entirely for fast, structured JSON data without browser rendering. For each property listing, the scraper extracts: - **Price data** — asking price, price per m², auction status, rental price - **Property characteristics** — bedrooms, living area, plot size, energy label, construction year, building type - **Full descriptions** — Dutch or English listing text with all property details - **Media** — all photo URLs, floor plans, 360° photos, virtual tours, brochure links - **Location** — GPS coordinates, neighborhood name/identifier, full address with postcode - **Broker info** — broker ID, association (NVM/VBO/VastgoedPRO), contact details - **Property features** — garden, balcony, solar panels, heat pump, parking, monument status - **Neighborhood data** (optional) — local market insights from Funda's Market Insights API - **Status & metadata** — publication date, sold/rented status, labels, views/saves count ### How to use Funda.nl Scraper 1. **Provide search URLs** — paste Funda.nl search URLs (e.g. `https://www.funda.nl/zoeken/koop?selected_area=["amsterdam"]`) or individual listing detail URLs 2. **Or use search parameters** — set location, price range, and transaction type (buy/rent) without a URL 3. **Configure limits** — set max items, concurrency, and optional neighborhood data enrichment 4. **Run** — the scraper fetches listings via Funda's API, processes details concurrently, and outputs structured JSON #### Input examples **Search by URL:** ```json { "startUrls": [ {"url": "https://www.funda.nl/zoeken/koop?selected_area=[\"amsterdam\"]"} ], "maxItems": 50 } ```` **Search by parameters:** ```json { "searchLocation": "rotterdam", "searchTransactionType": "buy", "searchPriceMin": 200000, "searchPriceMax": 450000, "maxItems": 100, "includeNeighborhoodData": true } ``` **Single listing:** ```json { "startUrls": [ {"url": "https://www.funda.nl/detail/koop/amsterdam/appartement-wildeman-97/43279645/"} ] } ``` ### Output Each listing is output as a JSON object matching Funda's internal data structure: ```json { "_id": "7998544", "Price": { "SellingPrice": "€ 595.000 k.k.", "NumericSellingPrice": 595000, "IsAuction": false }, "KenmerkSections": [...], "Labels": [{"Text": "Nieuw", "Type": "New"}], "Aanbiedingstekst": "Full property description...", "WoonOppervlakteSubTitle": "72 m²", "KoopprijsSubTitle": "€ 595.000 k.k.", "AddressTitle": "Waalstraat 122", "AddressSubTitle": "1079 EC Amsterdam", "NumberOfBedrooms": "1", "ListingUrl": "https://www.funda.nl/detail/43343907", "BuurtName": "Scheldebuurt-Midden", "Coordinates": {"Latitude": 52.343155, "Longitude": 4.9018593}, "Media": {"HoofdfotoUrl": "...", "Photos": [...], "FloorPlan": {...}}, "IsSoldOrRented": false, "PublicationDate": "2026-05-12T00:00:00" } ``` ### Use cases - **Real estate market research** — analyze property prices, trends, and market dynamics across Dutch cities - **Investment analysis** — find undervalued properties by comparing asking prices to neighborhood averages - **Property monitoring** — track new listings matching specific criteria (area, price range, features) - **Portfolio valuation** — compare similar properties for accurate real estate appraisals - **Academic research** — study housing market patterns, gentrification, and urban development - **Data journalism** — investigate property market trends and housing affordability ### Pricing This Actor uses pay-per-event pricing: | Event | Price | |-------|-------| | 1 listing scraped | $0.00072 | | 1,000 listings scraped | $0.72 | | 10,000 listings scraped | $7.20 | Platform costs (compute + proxy) are charged separately by Apify. ### Limitations - Funda's internal API has a pagination limit of ~10,000 results per search query. For larger datasets, use multiple searches with different filters. - Neighborhood data enrichment adds an extra API call per listing, which may slow down large runs. - Some sold/rented listings may have limited data available. ### FAQ **Can I scrape sold properties?** Currently the scraper focuses on available listings. Sold properties may return limited data. **How often does the data update?** Funda updates listings in real-time. New listings appear within minutes of being published. **Is this legal?** This scraper uses publicly available API endpoints. Always ensure your use case complies with applicable laws and Funda's terms of service. # Actor input Schema ## `startUrls` (type: `array`): Search pages (/zoeken/koop, /zoeken/huur) or individual listing detail pages (/detail/…). Leave empty to use search parameters below instead. ## `includeNeighborhoodData` (type: `boolean`): Fetch extra neighborhood stats from Funda Market Insights API for each listing. ## `contentLanguage` (type: `string`): Accept-Language for listing copy: Dutch original vs English translated. ## `searchTransactionType` (type: `string`): Koop (sale) or huur (rent). Pick Rent (huur) to search rentals only. ## `searchKeywords` (type: `string`): Words Funda should match in listings. Examples: gracht, tuin, zuid, nieuwbouw. Leave empty to skip text filter. ## `searchLocation` (type: `string`): City or area slug. Examples: amsterdam, rotterdam, den-haag. Use postcode + radius for radius search. ## `searchPriceMin` (type: `integer`): Lower bound in euros (whole numbers). Example: 200000 for €200,000. ## `searchPriceMax` (type: `integer`): Upper bound in euros. Example: 450000 for €450,000. Use with min or alone. ## `maxItems` (type: `integer`): Stop after this many listings. Set to 0 for unlimited. ## `maxConcurrency` (type: `integer`): Parallel requests cap for fetching listing details. ## `minConcurrency` (type: `integer`): Minimum parallel workers. ## `maxRequestRetries` (type: `integer`): Retries on failed HTTP calls before giving up. ## `storeName` (type: `string`): Optional KV store name for cross-run deduplication of listing IDs. Leave empty to skip. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=[%22amsterdam%22]" } ], "includeNeighborhoodData": false, "contentLanguage": "en", "searchTransactionType": "buy", "searchLocation": "amsterdam", "maxItems": 5, "maxConcurrency": 3, "minConcurrency": 1, "maxRequestRetries": 5 } ``` # Actor output Schema ## `dataset` (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 = { "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=[%22amsterdam%22]" } ], "searchTransactionType": "buy", "searchLocation": "amsterdam", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("parsebird/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 = { "startUrls": [{ "url": "https://www.funda.nl/zoeken/koop?selected_area=[%22amsterdam%22]" }], "searchTransactionType": "buy", "searchLocation": "amsterdam", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("parsebird/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 '{ "startUrls": [ { "url": "https://www.funda.nl/zoeken/koop?selected_area=[%22amsterdam%22]" } ], "searchTransactionType": "buy", "searchLocation": "amsterdam", "maxItems": 5 }' | apify call parsebird/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parsebird/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 — prices, photos, coordinates, characteristics, neighborhood data, and more.", "version": "1.0", "x-build-id": "lGnZSJ011YMueknFc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parsebird~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parsebird-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parsebird~funda-scraper/runs": { "post": { "operationId": "runs-sync-parsebird-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parsebird~funda-scraper/run-sync": { "post": { "operationId": "run-sync-parsebird-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Funda URLs", "type": "array", "description": "Search pages (/zoeken/koop, /zoeken/huur) or individual listing detail pages (/detail/…). Leave empty to use search parameters below instead.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeNeighborhoodData": { "title": "Include neighborhood data", "type": "boolean", "description": "Fetch extra neighborhood stats from Funda Market Insights API for each listing.", "default": false }, "contentLanguage": { "title": "Listing text language", "enum": [ "nl", "en" ], "type": "string", "description": "Accept-Language for listing copy: Dutch original vs English translated.", "default": "en" }, "searchTransactionType": { "title": "Transaction type", "enum": [ "buy", "rent" ], "type": "string", "description": "Koop (sale) or huur (rent). Pick Rent (huur) to search rentals only.", "default": "buy" }, "searchKeywords": { "title": "Keywords (free text)", "type": "string", "description": "Words Funda should match in listings. Examples: gracht, tuin, zuid, nieuwbouw. Leave empty to skip text filter." }, "searchLocation": { "title": "Location / area", "type": "string", "description": "City or area slug. Examples: amsterdam, rotterdam, den-haag. Use postcode + radius for radius search." }, "searchPriceMin": { "title": "Minimum price (EUR)", "type": "integer", "description": "Lower bound in euros (whole numbers). Example: 200000 for €200,000." }, "searchPriceMax": { "title": "Maximum price (EUR)", "type": "integer", "description": "Upper bound in euros. Example: 450000 for €450,000. Use with min or alone." }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Stop after this many listings. Set to 0 for unlimited.", "default": 100 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "type": "integer", "description": "Parallel requests cap for fetching listing details.", "default": 3 }, "minConcurrency": { "title": "Min concurrency", "minimum": 1, "type": "integer", "description": "Minimum parallel workers.", "default": 1 }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "type": "integer", "description": "Retries on failed HTTP calls before giving up.", "default": 5 }, "storeName": { "title": "Named key-value store (deduplication)", "type": "string", "description": "Optional KV store name for cross-run deduplication of listing IDs. Leave empty to skip." } } }, "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 } } } } } } } } } } ```