# Ingatlan.com Scraper — Hungary Real Estate Listings (`unfenced-group/ingatlan-scraper`) Actor Scrape 300,000+ Hungarian property listings from Ingatlan.com. 8 property types, city and district search, price/area/rooms structured fields. The only ingatlan.com scraper on Apify. $0.99/1,000 listings. - **URL**: https://apify.com/unfenced-group/ingatlan-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 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 ![Ingatlan.com Scraper](https://i.imgur.com/TPYAFzs.png) ## Ingatlan.com Scraper Extract property listings from **ingatlan.com** — Hungary's largest real estate portal — with pricing, area, rooms, location, and agency data. ### Features - Search for-sale and for-rent listings across all Hungarian cities - Filter by property type: apartment, house, land, garage, office, commercial - Client-side filters for price, rooms, and floor area - Optional detail-page fetching for full property descriptions - Supports direct search page URLs via `startUrls` ### Input | Parameter | Type | Default | Description | |---|---|---|---| | `startUrls` | array | — | Ingatlan.com search page URLs to scrape directly | | `listingType` | string | `sale` | `sale` (Eladó) or `rent` (Kiadó) | | `propertyType` | string | _(any)_ | `flat`, `house`, `land`, `garage`, `office`, `commercial`, `newBuilding`, or empty for all | | `location` | string | `Budapest` | Hungarian city or district name (e.g. `Debrecen`, `Budapest+XIII. kerület`) | | `maxItems` | integer | `100` | Maximum listings to return. `0` = unlimited | | `fetchDetails` | boolean | `false` | Fetch detail pages to populate `descriptionText` | | `minPriceHuf` | integer | — | Minimum price in HUF (client-side filter) | | `maxPriceHuf` | integer | — | Maximum price in HUF (client-side filter) | | `minRooms` | number | — | Minimum number of rooms | | `maxRooms` | number | — | Maximum number of rooms | | `minSizeSqm` | integer | — | Minimum floor area in m² | | `maxSizeSqm` | integer | — | Maximum floor area in m² | | `proxyConfiguration` | object | Residential (HU) | Proxy settings | ### Output Schema Each result contains the following fields. Fields that cannot be extracted are present as `null`. #### Always present | Field | Type | Example | Description | |---|---|---|---| | `id` | string | `"32571723"` | Unique listing ID on ingatlan.com | | `url` | string | `"https://ingatlan.com/32571723"` | Direct link to the listing | | `operationType` | string | `"sale"` | `sale` or `rent` | | `propertyType` | string | `"flat"` | `flat`, `house`, `land`, `garage`, `office`, `commercial`, `newBuilding` | | `priceText` | string | `"89 000 000 Ft"` | Price as displayed | | `priceAmount` | number | `89000000` | Numeric price value | | `priceCurrency` | string | `"HUF"` | `HUF` or `EUR` | | `surfaceSqm` | number | `68` | Floor area in m² | | `rooms` | number | `3` | Number of rooms | | `title` | string | `"Eladó lakás, Budapest XIII."` | Listing headline | | `city` | string | `"Budapest"` | City | | `district` | string | `"XIII. ker."` | District (Budapest only) | | `address` | string | `"Budapest, XIII. kerület"` | Full location text | | `latitude` | number | `null` | Geographic latitude (null — not available from list page) | | `longitude` | number | `null` | Geographic longitude | | `publishDate` | string | `"2026-04-15"` | Publication date (YYYY-MM-DD) | | `images` | array | `["https://...jpg"]` | Listing photo URLs | | `agencyName` | string | `"OTP Ingatlan"` | Agency or private seller name | | `agencyUrl` | string | `"https://..."` | Agency website URL | | `source` | string | `"ingatlan.com"` | Always `ingatlan.com` | | `scrapedAt` | string | `"2026-04-26T10:00:00.000Z"` | Scrape timestamp (ISO 8601) | | `contentHash` | string | `"a3f8b2c1d5e7f091"` | 16-char hash for deduplication | #### With `fetchDetails: true` | Field | Type | Description | |---|---|---| | `descriptionText` | string | Full property description (plain text) | | `descriptionMarkdown` | string | Same as `descriptionText` | | `descriptionHtml` | null | Always null (ingatlan.com serves plain text) | ### Example Output ```json { "id": "32571723", "url": "https://ingatlan.com/32571723", "operationType": "sale", "propertyType": "flat", "priceText": "89 000 000 Ft", "priceAmount": 89000000, "priceCurrency": "HUF", "surfaceSqm": 68, "rooms": 3, "title": "Eladó lakás, Budapest XIII. kerület", "city": "Budapest", "district": "XIII. ker.", "address": "Budapest, XIII. kerület, Pozsonyi út", "latitude": null, "longitude": null, "publishDate": "2026-04-15", "images": ["https://...jpg", "https://...jpg"], "agencyName": "Otthon Centrum", "agencyUrl": "https://www.otthoncentrum.hu", "descriptionText": null, "descriptionHtml": null, "descriptionMarkdown": null, "source": "ingatlan.com", "scrapedAt": "2026-04-26T10:00:00.000Z", "contentHash": "a3f8b2c1d5e7f091" } ```` ### Usage Examples **1. For-sale apartments in Budapest** ```json { "listingType": "sale", "propertyType": "flat", "location": "Budapest", "maxItems": 200 } ``` **2. For-rent houses in Debrecen under 300,000 HUF/month** ```json { "listingType": "rent", "propertyType": "house", "location": "Debrecen", "maxPriceHuf": 300000 } ``` **3. Direct search URL with custom filter** ```json { "startUrls": [{ "url": "https://ingatlan.com/lista/elado+lakas+Budapest+XIII" }], "maxItems": 500 } ``` **4. Daily feed — all new listings in Budapest (unlimited)** ```json { "listingType": "sale", "location": "Budapest", "maxItems": 0 } ``` ### Performance & Pricing - **Price:** $1.99 / 1,000 results - **Speed:** ~200–400 listings/minute - **Memory:** 512 MB - **Proxy:** Hungarian residential proxy required (included in pricing) - **Detail pages** (`fetchDetails: true`): roughly 3× slower, uses additional proxy bandwidth ### Notes - The scraper uses Hungarian residential proxies to access the site reliably. - Client-side filters (`minPriceHuf`, `maxRooms`, etc.) are applied after scraping — they do not reduce proxy usage. - For very large runs (10,000+ listings) consider using `startUrls` with separate city searches to distribute load. *** *Powered by [Unfenced Group](https://apify.com/unfenced-group)* # Actor input Schema ## `startUrls` (type: `array`): Ingatlan.com listing search page URLs to scrape directly. When provided, listingType / propertyType / location are ignored. ## `listingType` (type: `string`): Whether to scrape for-sale or for-rent listings. ## `propertyType` (type: `string`): Type of property to scrape. Leave empty to include all types. ## `location` (type: `string`): City or district to search in (Hungarian name). Examples: Budapest, Debrecen, Győr, Budapest+XIII. kerület. ## `maxItems` (type: `integer`): Maximum number of listings to collect. Set to 0 for unlimited. ## `fetchDetails` (type: `boolean`): If enabled, each listing detail page is fetched to extract full description text. Increases run time and proxy cost. ## `minPriceHuf` (type: `integer`): Minimum listing price in Hungarian Forint (HUF). Client-side filter applied after scraping. ## `maxPriceHuf` (type: `integer`): Maximum listing price in Hungarian Forint (HUF). Client-side filter applied after scraping. ## `minRooms` (type: `number`): Minimum number of rooms (szoba). Use 0.5 for half-rooms. Client-side filter. ## `maxRooms` (type: `number`): Maximum number of rooms (szoba). Client-side filter. ## `minSizeSqm` (type: `integer`): Minimum floor area in square metres. Client-side filter. ## `maxSizeSqm` (type: `integer`): Maximum floor area in square metres. Client-side filter. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxy (Hungary) is required for Cloudflare bypass. ## Actor input object example ```json { "listingType": "sale", "propertyType": "", "location": "Budapest", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "HU" } } ``` # Actor output Schema ## `OUTPUT` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/ingatlan-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/ingatlan-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 '{}' | apify call unfenced-group/ingatlan-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/ingatlan-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ingatlan.com Scraper — Hungary Real Estate Listings", "description": "Scrape 300,000+ Hungarian property listings from Ingatlan.com. 8 property types, city and district search, price/area/rooms structured fields. The only ingatlan.com scraper on Apify. $0.99/1,000 listings.", "version": "0.0", "x-build-id": "D1YqAYZKzbvAWIWas" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~ingatlan-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-ingatlan-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/unfenced-group~ingatlan-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-ingatlan-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/unfenced-group~ingatlan-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-ingatlan-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": "Start URLs", "type": "array", "description": "Ingatlan.com listing search page URLs to scrape directly. When provided, listingType / propertyType / location are ignored.", "items": { "type": "object" } }, "listingType": { "title": "Listing Type", "enum": [ "sale", "rent" ], "type": "string", "description": "Whether to scrape for-sale or for-rent listings.", "default": "sale" }, "propertyType": { "title": "Property Type", "enum": [ "", "flat", "house", "land", "garage", "office", "commercial", "newBuilding" ], "type": "string", "description": "Type of property to scrape. Leave empty to include all types.", "default": "" }, "location": { "title": "Location", "type": "string", "description": "City or district to search in (Hungarian name). Examples: Budapest, Debrecen, Győr, Budapest+XIII. kerület.", "default": "Budapest" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of listings to collect. Set to 0 for unlimited.", "default": 100 }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "If enabled, each listing detail page is fetched to extract full description text. Increases run time and proxy cost." }, "minPriceHuf": { "title": "Min Price (HUF)", "minimum": 0, "type": "integer", "description": "Minimum listing price in Hungarian Forint (HUF). Client-side filter applied after scraping." }, "maxPriceHuf": { "title": "Max Price (HUF)", "minimum": 0, "type": "integer", "description": "Maximum listing price in Hungarian Forint (HUF). Client-side filter applied after scraping." }, "minRooms": { "title": "Min Rooms", "minimum": 0, "type": "number", "description": "Minimum number of rooms (szoba). Use 0.5 for half-rooms. Client-side filter." }, "maxRooms": { "title": "Max Rooms", "minimum": 0, "type": "number", "description": "Maximum number of rooms (szoba). Client-side filter." }, "minSizeSqm": { "title": "Min Size (m²)", "minimum": 0, "type": "integer", "description": "Minimum floor area in square metres. Client-side filter." }, "maxSizeSqm": { "title": "Max Size (m²)", "minimum": 0, "type": "integer", "description": "Maximum floor area in square metres. Client-side filter." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxy (Hungary) is required for Cloudflare bypass.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "HU" } } } }, "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 } } } } } } } } } } ```