# Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡± (`delectable_incubator/funda-nl-scraper-low-cost`) Actor Scrape Funda.nl property listings πŸ‘πŸ‡³πŸ‡± with a powerful Dutch real estate scraper. Extract property prices, addresses, property types, sizes, agent details, listing URLs, and more with area-based filters. Ideal for market analysis, investment research, lead generation & real estate intelligence πŸ“Š - **URL**: https://apify.com/delectable\_incubator/funda-nl-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Search Scraper

--- ## Funda.nl Property Search Scraper | Real Estate Listings Scraper Netherlands | Apify Actor ### πŸš€ Extract Funda.nl Property Listings in Seconds (No Code) The **Funda.nl Property Search Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized real estate scraping tool** designed to extract property listings directly from Funda.nl, the leading real estate marketplace in the Netherlands. It allows you to **scrape Funda property listings in bulk**, collect structured real estate data, and export datasets for **property intelligence, market research, lead generation, real estate analytics, investment research, and AI training datasets**. --- ### πŸ”₯ Why This Funda.nl Scraper? βœ” Best Funda.nl scraper on Apify βœ” Supports **multi-area property scraping (SEO BOOST πŸš€)** βœ” Fast & scalable property data extraction βœ” 100% structured JSON / CSV / Excel output βœ” Ideal for Dutch real estate market intelligence βœ” Perfect for investors, agencies, researchers & proptech startups βœ” Automatic pagination support βœ” No coding required --- ### 🎯 What This Scraper Does (Funda Real Estate Data Extraction) This Apify Actor extracts **real-time property listings from Funda.nl search results**. #### πŸ“Œ Core Features: βœ… Scrape Funda.nl property listings βœ… Multi-area scraping support (SEO BOOST πŸš€) βœ… Region-based property search βœ… Automatic pagination handling βœ… Extract listing IDs and property details βœ… Extract property prices and locations βœ… Extract surface area and lot size βœ… Extract number of rooms βœ… Extract energy labels βœ… Extract agency information βœ… Extract property images and listing URLs βœ… Clean structured dataset output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ MULTI-AREA MODE (SEO BOOST πŸš€) ```` { "base\_urls": \[ "https://www.funda.nl/en/zoeken/koop?selected\_area=\["amsterdam"]", "https://www.funda.nl/en/zoeken/koop?selected\_area=\["rotterdam"]", "https://www.funda.nl/en/zoeken/koop?selected\_area=\["utrecht"]" ], "page\_number": 1, "maxitems": 150 } ``` #### Single Area Example ``` { "base\_url": "https://www.funda.nl/en/zoeken/koop?selected\_area=\["bergen-li"]", "page\_number": 2, "maxitems": 15 } ``` --- ### πŸ“Š Extracted Property Data (Structured Output) | Field | Description | | ------------ | -------------------------- | | listing_id | Unique property identifier | | title | Property title | | location | Property location | | price | Property price | | surface | Living area | | terrain | Lot size | | rooms | Number of rooms | | energy_label | Energy rating | | image_url | Main property image | | detail_link | Listing URL | | agency | Real estate agency | | agency_link | Agency profile URL | | is_new | New listing status | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Funda scraper is used for: 🏠 Netherlands property scraping πŸ“Š Dutch real estate market analysis πŸ’° Property investment research πŸ“ˆ Housing price monitoring 🏒 Real estate lead generation πŸ€– AI training datasets (property data) πŸ“‘ Property aggregation platforms πŸ” Competitor monitoring ⚑ Bulk real estate data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Multi-area property scraping 🌍 Netherlands real estate coverage πŸ“Œ Smart pagination system 🧠 Clean structured output πŸ“Š High-speed extraction engine πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets 🏘️ Agency and property intelligence βš™οΈ Scalable cloud execution (Apify Actor) --- ### πŸ“€ Output Formats Supported βœ” JSON (structured API ready) βœ” CSV (Excel analysis) βœ” Excel XLSX (business reports) βœ” XML (data pipelines) βœ” HTML (dashboards) βœ” RSS feeds --- ### πŸ“¦ Example Output ``` { "listing\_id": "43993068", "title": "Siebengewaldseweg 127", "location": "5854 PB Bergen (LI)", "price": "€649,000 k.k.", "surface": "150 mΒ²", "terrain": "7,970 mΒ²", "rooms": "3", "energy\_label": "F", "agency": "Peelrand Makelaardij", "agency\_link": "https://www.funda.nl/en/makelaar/14211-peelrand-makelaardij/", "image\_url": "https://cloud.funda.nl/image.jpg", "detail\_link": "https://www.funda.nl/en/detail/koop/bergen-li/huis-siebengewaldseweg-127/43993068/", "is\_new": false } ```` --- ### πŸ”₯ Why This is the BEST Funda.nl Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” High-performance real estate extraction engine βœ” Multi-area scraping support βœ” Clean structured dataset output βœ” Enterprise-ready scalability βœ” Property investor friendly βœ” Perfect for SEO traffic & marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $0.74 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple regions at once? Yes β€” multi-area mode is supported. #### Can I collect large volumes of properties? Yes β€” simply increase pagination and maxitems. #### Is this scraper suitable for real estate market research? Absolutely. It is designed for property intelligence and market analysis. #### Is coding required? No β€” 100% no-code Apify Actor. #### Can I export data? Yes β€” JSON, CSV, Excel, XML, HTML and RSS are supported. --- ### ⚠️ Disclaimer This tool is not affiliated with Funda.nl. It is an independent data extraction solution. --- ### πŸ”— Related Actors (Real Estate Intelligence Suite) We are building a full **PrimeScrape Real Estate Intelligence Suite**: πŸ‘‰ Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for **data scraping, automation, AI training datasets, lead generation and market intelligence at scale**. 🏠 Real estate intelligence πŸ“Š Property market analytics 🏒 Company data extraction πŸ€– AI datasets πŸ“ˆ Investment research βš™οΈ Automation pipelines --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you like this scraper πŸ“© Contact us for custom scraping solutions and enterprise-scale real estate data projects # Actor input Schema ## `startUrls` (type: `array`): List of Funda.nl search URLs to scrape. Example: https://www.funda.nl/en/zoeken/koop?selected_area=["bergen-li"] ## `MAX_ITEMS_PER_URL` (type: `integer`): Maximum number of property listings to extract per start URL ## Actor input object example ```json { "startUrls": [ "https://www.funda.nl/en/zoeken/koop?selected_area=[%22capelle-aan-den-ijssel/hoofdweg-sector-a%22,%22amsterdam%22]" ], "MAX_ITEMS_PER_URL": 50 } ```` # Actor output Schema ## `overview` (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": [ "https://www.funda.nl/en/zoeken/koop?selected_area=[%22capelle-aan-den-ijssel/hoofdweg-sector-a%22,%22amsterdam%22]" ], "MAX_ITEMS_PER_URL": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/funda-nl-scraper-low-cost").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 = { "startUrls": ["https://www.funda.nl/en/zoeken/koop?selected_area=[%22capelle-aan-den-ijssel/hoofdweg-sector-a%22,%22amsterdam%22]"], "MAX_ITEMS_PER_URL": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/funda-nl-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 '{ "startUrls": [ "https://www.funda.nl/en/zoeken/koop?selected_area=[%22capelle-aan-den-ijssel/hoofdweg-sector-a%22,%22amsterdam%22]" ], "MAX_ITEMS_PER_URL": 50 }' | apify call delectable_incubator/funda-nl-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/funda-nl-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡±", "description": "Scrape Funda.nl property listings πŸ‘πŸ‡³πŸ‡± with a powerful Dutch real estate scraper. Extract property prices, addresses, property types, sizes, agent details, listing URLs, and more with area-based filters. Ideal for market analysis, investment research, lead generation & real estate intelligence πŸ“Š", "version": "0.0", "x-build-id": "BNAb3idxny3z9K4i8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~funda-nl-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-funda-nl-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~funda-nl-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-funda-nl-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~funda-nl-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-funda-nl-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "MAX_ITEMS_PER_URL" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of Funda.nl search URLs to scrape.\nExample: https://www.funda.nl/en/zoeken/koop?selected_area=[\"bergen-li\"]", "items": { "type": "string" }, "default": [ "https://www.funda.nl/en/zoeken/koop?selected_area=[%22capelle-aan-den-ijssel/hoofdweg-sector-a%22,%22amsterdam%22]" ] }, "MAX_ITEMS_PER_URL": { "title": "Max Listings Per URL", "type": "integer", "description": "Maximum number of property listings to extract per start URL", "default": 50 } } }, "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 } } } } } } } } } } ```