# Funda Business Scraper \[Only $2.5] 🚀 – Full Data & Leads (`ahmed_jasarevic/funda-business-scraper`) Actor Stop overpaying for commercial real estate data. This scraper provides the most comprehensive data extraction for Fundainbusiness.nl at the most competitive price on the market—only $2.5 per 1,000 results. - **URL**: https://apify.com/ahmed\_jasarevic/funda-business-scraper.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 Business Scraper A fast and reliable scraper for extracting structured **commercial real estate listings from Funda Business (Netherlands)**. It collects detailed property data including warehouses, office spaces, industrial units, and other commercial properties in a clean JSON format. --- ### 🚀 What this scraper does This tool automatically extracts structured real estate data such as: - 📍 Location (street, postcode, city) - 🏢 Property title and listing URL - 📐 Total surface area (m²) - 🏗️ Building details (year, construction type) - ⚡ Energy label - 🖼️ Property images - 📊 Structured property features by category - 🧾 Full description text - 💰 Price and availability status - 📦 Additional metadata for analysis --- ### 📥 Input Provide one or more starting URLs and optional limits. #### Example input ```json id="input-example" { "startUrls": [ { "url": "https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/" } ], "maxItems": 100, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` *** ### 📤 Output Each item represents a **single commercial property listing**. #### Example output ```json id="output-example" { "url": "https://www.fundainbusiness.nl/bedrijfshal/sprang-capelle/object-43184630-tinus-van-der-sijdestraat-7/", "tinyId": "43184630", "globalId": null, "title": "Tinus van der Sijdestraat 7 5161 CD Sprang-Capelle", "address": { "streetAddress": "Tinus van der Sijdestraat 7\r\n 5161 CD Sprang-Capelle", "postcode": "5161cd", "city": "sprangcapelle" }, "surfaces": { "surfaceTotal": "695 m²", "numberOfFloors": null }, "build": { "year": "1999", "energyLabel": "Niet" }, "media": { "photoUrls": [ "https://cloud.funda.nl/valentina_media/218/213/235_1440x960.jpg", "https://cloud.funda.nl/valentina_media/218/213/218_1440x960.jpg" ] }, "characteristicsBySection": { "Overdracht": { "Vraagprijs": "Prijs op aanvraag", "Huurprijs": "€ 54.000 per jaar", "Status": "Beschikbaar", "Aanvaarding": "In overleg" }, "Bouw": { "Hoofdfunctie": "Bedrijfshal", "Soort bouw": "Bestaande bouw", "Bouwjaar": "1999" }, "Oppervlakten": { "Oppervlakte": "695 m²", "Bedrijfshal oppervlak": "455 m²", "Kantoor oppervlak": "240 m²", "Vrije hoogte": "6,9 m", "Vrije overspanning": "20 m", "Draagvermogen": "1.500 kg/m²", "Perceel": "691 m²" }, "Indeling": { "Aantal bouwlagen": "2 bouwlagen", "Voorzieningen": "Lichtstraten, overheaddeuren, betonvloer, toilet, pantry en te openen ramen" }, "Energie": { "Energielabel": "Niet beschikbaar" }, "Omgeving": { "Ligging": "Bedrijventerrein" } }, "advertisementTargeting": { "cat42": "0", "taal": "nl", "loggedin": "false", "cat1": "noordbrabant", "cat2": "sprangcapelle", "cat3": "5161cd", "cat4": "7", "cat6": "54000", "cat9": "695", "cat11": "11082", "cat13": "bestaandebouw", "cat24": "0", "cat26": "nvm", "cat28": "0", "cat29": "1999", "cat30": "6000", "cat33": "huur", "cat35": "43184630", "cat36": "0", "cat38": "gemeentewaalwijk", "cat39": "sprang", "cat43": "0", "cat44": "0", "postcode": "5161cd", "plaats": "sprangcapelle", "provincie": "noordbrabant", "huisnummer": "7", "oppervlakte": "695", "huurprijs": "54000", "hoofdaanbieder": "11082", "bouwvorm": "bestaandebouw", "bedrijfsruimte": "false", "branchevereniging": "nvm", "dakterras": "false", "tuin": "false", "balkon": "false", "soortaanbieding": "huur", "tinyid": "43184630", "huurprijsrange": "6000", "bouwjaar": "1999", "openhuis": "false", "gemeente": "waalwijk", "buurt": "sprang", "monumentalestatus": "false", "rijksmonument": "false", "soortaanbod": "bedrijfshal", "kluswoning": "false", "adgroup": "b", "status": "beschikbaar", "zonnepanelen": "false", "parkeergelegenheidopafgeslotenterrein": "false", "parkeergelegenheidopeigenterrein": "false", "warmtepomp": "false", "service": "fundainbusinesswebsite", "environment": "production" }, "description": "Op bedrijventerrein ‘’de Kets’’ gelegen moderne bedrijfsruimte met kantoorruimtes en parkeerplaatsen op eigen terrein. Algemeen Sprang-Capelle is een gunstig gelegen dorp in de gemeente Waalwijk, in het hart van Noord-Brabant. Dankzij de centrale ligging nabij de A59 en N261 zijn steden als Tilburg, ’s-Hertogenbosch en Breda snel bereikbaar. Dit maakt Sprang-Capelle tot een uitstekende vestigingslocatie voor ondernemers die op zoek zijn naar een goed bereikbare en representatieve plek voor hun bedrijf. De regio kenmerkt zich door een sterke economische dynamiek, met volop kansen in de industrie, logistiek, retail en dienstverlening. Daarnaast ligt de Efteling op korte afstand, wat zorgt voor extra bezoekersaantrekkingen en naamsbekendheid in de omgeving. Bouwjaar 1999 Vloeroppervlakte: Bedrijfsruimte : ca. 455 m² Kantoorruimte : ca. 240 m² Totaal : ca. 695 m² Bestemming: Het object valt binnen het bestemmingsplan “Bedrijventerrein”, vastgesteld op 20-11-2014, waarin het de bestemming “Bedrijventerrein” heeft gekregen met de aanduiding “Milieucategorie 1 t/m 3.1”. Voor een afschrift van dit bestemmingsplan kunt u contact met ons kantoor opnemen. Max. vloerbelasting: Ca. 1.500 kg/m² Vrije hoogte: Ca. 690 cm Vrije overspanning: Ca. 20 meter Indeling Entree, toegang tot showroom/productie of kantoorruimte met toilet en pantry, toegang naar de bedrijfsruimte die is verdeeld in 2 segmenten, trapopgang naar verdieping met 1 kantoorruimte en vergaderruimte/showroomruimte. Voorzieningen Bedrijfsruimte: - Betonvloer; - 2 elektrische overheaddeuren; - Cv-verwarmd; - Deels systeemplafond met verlichting; - Lichtstraat; - 3x25 Ampère. Kantoorruimte: - Alarm; - Systeemplafond met verlichting; - Cv-verwarmd middels radiatoren; - Tegelvoer, vloerstoffering; - Toilet; - Pantry met vaatwasser en koelkast. Opmerkingen: - Ca. 6 parkeerplaatsen op eigen terrein. - Aan de achterzijde van het pand is er volop parkeermogelijkheid op het achtergelegen terrein van de supermarkt. Middels een loopdeur is de bedrijfsruimte bereikbaar. Kadastrale gegevens Gemeente : Sprang Sectie : C Nummer : 1647 en 1648 Oplevering In overleg Verhuurvoorwaarden Wij bieden het object aan op basis van onder meer de volgende voorwaarden: - huurtermijn van vijf (5) jaren met telkenmale verlengingsperioden van vijf (5) jaren; - wederzijdse opzegtermijn van twaalf (12) maanden voorafgaand aan expiratiedatum; - jaarlijkse indexering op basis van het CPI indexcijfer alle huishoudens (2015=100), voor het eerst één jaar na huuringangsdatum; - betaling per drie (3) maanden vooruit; - uitgangspunt is een met BTW belaste verhuur; - doorlopende bankgarantie of waarborgsom ter grootte van drie (3) maanden huur; - model huurovereenkomst kantoorruimte en andere bedrijfsruimte in de zin van artikel 7:230a BW met bijbehorende algemene bepalingen, zoals vastgesteld door de Raad voor Onroerende Zaken (ROZ) op 30 januari 2025. Huurprijs: € 54.000,- per jaar te vermeerderen met BTW Verkoopvoorwaarden Wij bieden het object aan op basis van onder meer de volgende voorwaarden: - De kosten verbonden aan de eigendomsoverdracht zijn voor rekening van de koper; - Instrumenterend notaris is te bepalen door de koper; - Een bankgarantie/waarborgsom ter grootte van 10% van de koopsom, te storten bij instrumenterend notaris uiterlijk 14 dagen na het ondertekenen van de koopovereenkomst. Vraagprijs: € n.o.t.k. k.k." } ``` *** ### 📊 Key Features - ⚡ Fast extraction of large datasets - 📦 Clean structured JSON output - 📍 Accurate address parsing - 🏢 Commercial property focus - 🖼️ Image extraction support - 📊 Grouped property characteristics - 🔄 Pagination support - 🛡️ Anti-block handling *** ### 📈 Use Cases - Real estate market analysis - Investment research - Lead generation - Property tracking - Data aggregation platforms *** ### ⚠️ Disclaimer This tool is intended for data analysis and research purposes. Users are responsible for complying with applicable usage policies. *** ### 👨‍💻 Author Built by Ahmed Jasarevic # Actor input Schema ## `startUrls` (type: `array`): Funda Business search URLs (e.g., https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/) ## `maxItems` (type: `integer`): Maximum number of listings to collect. Set to 0 for unlimited. ## `proxy` (type: `object`): Residential proxies are mandatory for Funda to avoid blocks and interstitials. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/" } ], "maxItems": 10, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `datasetItems` (type: `string`): Scraped Funda business listings ## `datasetUrl` (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.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("ahmed_jasarevic/funda-business-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.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/" }] } # Run the Actor and wait for it to finish run = client.actor("ahmed_jasarevic/funda-business-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.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/" } ] }' | apify call ahmed_jasarevic/funda-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/funda-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda Business Scraper [Only $2.5] 🚀 – Full Data & Leads", "description": "Stop overpaying for commercial real estate data. This scraper provides the most comprehensive data extraction for Fundainbusiness.nl at the most competitive price on the market—only $2.5 per 1,000 results.", "version": "1.0", "x-build-id": "EShZbHLtKLRuNYRRQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~funda-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-funda-business-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ahmed_jasarevic~funda-business-scraper/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-funda-business-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/ahmed_jasarevic~funda-business-scraper/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-funda-business-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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Funda Business search URLs (e.g., https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items to Scrape", "minimum": 0, "type": "integer", "description": "Maximum number of listings to collect. Set to 0 for unlimited.", "default": 10 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies are mandatory for Funda to avoid blocks and interstitials.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```