# Funda.nl Scraper (`one-api/funda-scraper`) Actor Scrape Funda.nl, the leading Dutch real-estate marketplace. Search homes, apartments, parking, land and berths for sale, for rent or sold by location, Funda geo area, or a funda.nl search URL; pull full listing details, agent/office profiles, and autocomplete Dutch locations. - **URL**: https://apify.com/one-api/funda-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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.nl Scraper Scrape **Funda.nl**, the leading Dutch real-estate marketplace. Search homes, apartments, parking, land and berths **for sale, for rent or sold**, look up full listing details, fetch estate-agent (makelaar) office profiles, and resolve Dutch locations to Funda geo-identifiers. ### What it does - **🔎 Search Listings** — three auto-detected modes from one input box: - a city / place / neighbourhood / postcode (e.g. `Amsterdam`, `Utrecht`, `1018XS`, `Jordaan`) → search by location - a Funda geo-identifier slug — lowercase with a `-` or `/` (e.g. `gemeente-amsterdam`, `provincie-noord-holland`, `amsterdam/jordaan`) → search by area - any `funda.nl/zoeken/...` search URL → search by URL Deal type (sale / rent / sold), property type, price, bedrooms, rooms, living & plot area, energy label, construction type, sort order and pagination all apply. - **🏠 Property Details** — auto-detects each input as a listing id (digits) or `funda.nl` URL; returns the full record (price, areas, bedrooms, energy label, coordinates, characteristics, photos, agent contacts). - **👤 Agent / Office Details** — for each Funda makelaar office id or URL: one profile row (name, affiliation, contact, reviews, employee count). - **🔍 Autocomplete** — resolve Dutch location names to Funda geo-identifiers you can feed straight back into the Search section's *by area* mode. ### Output - **One flat dataset row per listing / office / suggestion** — sortable, filterable, CSV-exportable. - Columns: `Mode`, `Offering`, `Property Type`, `Property ID`, `Address`, `Postcode`, `City`, `Price`, `Bedrooms`, `Rooms`, `Floor Area m²`, `Plot Area m²`, `Energy Label`, `Agent / Office`, `Latitude`, `Longitude`, `Cover Photo`, `Listing URL`. - Full upstream JSON kept in the `Raw` column for power users. ### Inputs - Each section is independent — fill only the ones you need. - Multiple inputs per section: one per line. - The search filters apply to every Search query. ### Pricing - Pay per result: **$3 per 1,000 dataset items** — same rate on every Apify plan tier. - Apify start fee: $0.00005 per run. ### Notes - Funda serves ~15 listings per page upstream — raise **Pages per search** to fetch more. - Deal type **Sold / Rented** returns listings with their realised price and sold status. - Prices are in euros (€). ### Errors - Failures land in the dataset as rows with `Mode = "ERROR"` and the upstream error message in the `Address` column — nothing is silently dropped. ### Support Questions or issues? Contact **oneapi.project@gmail.com**. # Actor input Schema ## `search_inputs` (type: `array`): Auto-detects each entry and routes to the right `/search/*` endpoint: • `https://www.funda.nl/zoeken/...` (a funda.nl search URL) → `/search/byurl` • A Funda geo-identifier slug — lowercase with a `-` or `/` (e.g. `gemeente-amsterdam`, `provincie-noord-holland`, `amsterdam/jordaan`) → `/search/byarea` (get these slugs from the Autocomplete section) • Anything else — a city, place, neighbourhood or postcode (e.g. `Amsterdam`, `Utrecht`, `1018XS`, `Jordaan`) → `/search/bylocation` The filters below apply to every search. Each hit returns one row per listing. ## `property_inputs` (type: `array`): Auto-detects each entry and calls the right endpoint: • Digits only (e.g. `8050232`) → `/details/byid` • `https://www.funda.nl/detail/koop/.../` → `/details/byurl` Each row is one full listing record (price, areas, bedrooms, energy label, coordinates, characteristics, photos, agent contacts). The listing `id` appears in the `Property ID` column of search results. ## `agent_inputs` (type: `array`): For each Funda estate-agent (makelaar) office, fetch `/agent/details` (one profile row: name, affiliation, contact, reviews, employee count): • Digits only (e.g. `24131`) → looked up by office id • `https://www.funda.nl/makelaar/24131-.../` → looked up by URL Office ids appear in the `Agent / Office` and `Raw` columns of search/details results. ## `autocomplete_inputs` (type: `array`): Resolve Dutch location names to Funda geo-identifiers via `/autocomplete`. Each row's `Property ID` is the geo-identifier slug you can feed back into the Search section to hit `/search/byarea`. Returns cities, municipalities, neighbourhoods, provinces and postcodes. ## `searchType` (type: `string`): For sale, for rent, or sold/rented (sold carries the realised price + sold status). ## `propertyType` (type: `string`): Which Funda category to search. Comma-separated to combine (e.g. `house,apartment`). Leave blank for all. ## `priceRange` (type: `string`): Format: `min:250000,max:400000` — either half optional. Euros. For rentals this is the monthly rent. ## `bedroomsRange` (type: `string`): Format: `min:2,max:4` — either half optional. ## `roomsRange` (type: `string`): Format: `min:3,max:5` — either half optional. ## `floorAreaRange` (type: `string`): Format: `min:75,max:150` — either half optional. ## `plotAreaRange` (type: `string`): Format: `min:100` — either half optional. Mainly for houses/land. ## `energyLabel` (type: `string`): Comma-separated: `A,B,C` (also `A+`, `A++`, … `G`). ## `constructionType` (type: `string`): New build or resale (existing). ## `sortOrder` (type: `string`): How to sort search results. ## `pages` (type: `integer`): How many pages to fetch for each Search query (Funda serves ~15 listings per page upstream). ## `resultCount` (type: `integer`): Listings requested per Search page (1–75). ## Actor input object example ```json { "search_inputs": [ "Amsterdam", "Utrecht" ], "property_inputs": [], "agent_inputs": [], "autocomplete_inputs": [ "Amsterdam" ], "searchType": "For_Sale", "propertyType": "", "priceRange": "", "bedroomsRange": "", "roomsRange": "", "floorAreaRange": "", "plotAreaRange": "", "energyLabel": "", "constructionType": "", "sortOrder": "Default", "pages": 1, "resultCount": 30 } ```` # 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 = { "search_inputs": [ "Amsterdam", "Utrecht" ], "property_inputs": [], "agent_inputs": [], "autocomplete_inputs": [ "Amsterdam" ] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/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 = { "search_inputs": [ "Amsterdam", "Utrecht", ], "property_inputs": [], "agent_inputs": [], "autocomplete_inputs": ["Amsterdam"], } # Run the Actor and wait for it to finish run = client.actor("one-api/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 '{ "search_inputs": [ "Amsterdam", "Utrecht" ], "property_inputs": [], "agent_inputs": [], "autocomplete_inputs": [ "Amsterdam" ] }' | apify call one-api/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/funda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda.nl Scraper", "description": "Scrape Funda.nl, the leading Dutch real-estate marketplace. Search homes, apartments, parking, land and berths for sale, for rent or sold by location, Funda geo area, or a funda.nl search URL; pull full listing details, agent/office profiles, and autocomplete Dutch locations.", "version": "1.0", "x-build-id": "WY5TFGndG2ixoeb5q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one-api~funda-scraper/runs": { "post": { "operationId": "runs-sync-one-api-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one-api~funda-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "search_inputs": { "title": "Search query (one per line)", "type": "array", "description": "Auto-detects each entry and routes to the right `/search/*` endpoint:\n• `https://www.funda.nl/zoeken/...` (a funda.nl search URL) → `/search/byurl`\n• A Funda geo-identifier slug — lowercase with a `-` or `/` (e.g. `gemeente-amsterdam`, `provincie-noord-holland`, `amsterdam/jordaan`) → `/search/byarea` (get these slugs from the Autocomplete section)\n• Anything else — a city, place, neighbourhood or postcode (e.g. `Amsterdam`, `Utrecht`, `1018XS`, `Jordaan`) → `/search/bylocation`\n\nThe filters below apply to every search. Each hit returns one row per listing.", "items": { "type": "string" } }, "property_inputs": { "title": "Listing id or funda.nl URL (one per line)", "type": "array", "description": "Auto-detects each entry and calls the right endpoint:\n• Digits only (e.g. `8050232`) → `/details/byid`\n• `https://www.funda.nl/detail/koop/.../` → `/details/byurl`\n\nEach row is one full listing record (price, areas, bedrooms, energy label, coordinates, characteristics, photos, agent contacts). The listing `id` appears in the `Property ID` column of search results.", "items": { "type": "string" } }, "agent_inputs": { "title": "Office id or funda.nl makelaar URL (one per line)", "type": "array", "description": "For each Funda estate-agent (makelaar) office, fetch `/agent/details` (one profile row: name, affiliation, contact, reviews, employee count):\n• Digits only (e.g. `24131`) → looked up by office id\n• `https://www.funda.nl/makelaar/24131-.../` → looked up by URL\n\nOffice ids appear in the `Agent / Office` and `Raw` columns of search/details results.", "items": { "type": "string" } }, "autocomplete_inputs": { "title": "Location text to resolve (one per line)", "type": "array", "description": "Resolve Dutch location names to Funda geo-identifiers via `/autocomplete`. Each row's `Property ID` is the geo-identifier slug you can feed back into the Search section to hit `/search/byarea`. Returns cities, municipalities, neighbourhoods, provinces and postcodes.", "items": { "type": "string" } }, "searchType": { "title": "Deal type", "enum": [ "For_Sale", "For_Rent", "Sold" ], "type": "string", "description": "For sale, for rent, or sold/rented (sold carries the realised price + sold status).", "default": "For_Sale" }, "propertyType": { "title": "Property type", "type": "string", "description": "Which Funda category to search. Comma-separated to combine (e.g. `house,apartment`). Leave blank for all.", "default": "" }, "priceRange": { "title": "Price range (€)", "type": "string", "description": "Format: `min:250000,max:400000` — either half optional. Euros. For rentals this is the monthly rent.", "default": "" }, "bedroomsRange": { "title": "Bedrooms", "type": "string", "description": "Format: `min:2,max:4` — either half optional.", "default": "" }, "roomsRange": { "title": "Rooms", "type": "string", "description": "Format: `min:3,max:5` — either half optional.", "default": "" }, "floorAreaRange": { "title": "Living / floor area (m²)", "type": "string", "description": "Format: `min:75,max:150` — either half optional.", "default": "" }, "plotAreaRange": { "title": "Plot area (m²)", "type": "string", "description": "Format: `min:100` — either half optional. Mainly for houses/land.", "default": "" }, "energyLabel": { "title": "Energy label", "type": "string", "description": "Comma-separated: `A,B,C` (also `A+`, `A++`, … `G`).", "default": "" }, "constructionType": { "title": "Construction type", "enum": [ "", "new", "resale" ], "type": "string", "description": "New build or resale (existing).", "default": "" }, "sortOrder": { "title": "Sort order", "enum": [ "Default", "Price_Low_to_High", "Price_High_to_Low", "Newest", "Oldest" ], "type": "string", "description": "How to sort search results.", "default": "Default" }, "pages": { "title": "Pages per search", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many pages to fetch for each Search query (Funda serves ~15 listings per page upstream).", "default": 1 }, "resultCount": { "title": "Results per page", "minimum": 1, "maximum": 75, "type": "integer", "description": "Listings requested per Search page (1–75).", "default": 30 } } }, "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 } } } } } } } } } } ```