# Ingatlan.com Scraper — Hungary Real Estate Listings (`unfenced-group/ingatlan-scraper`) Actor Extract real estate listings from ingatlan.com — Hungary's largest property portal. Filter by location, price, type, and more. No API key required. $0.99 per 1,000 results. - **URL**: https://apify.com/unfenced-group/ingatlan-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 21 total users, 4 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.79 / 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. 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 ## Ingatlan.com Scraper — Hungary Real Estate Listings ![ingatlan-scraper](https://api.apify.com/v2/key-value-stores/lJlifu6C8YQfZMPKE/records/ingatlan-scraper) Extract structured real estate listings from ingatlan.com — Hungary's largest property portal. No API key or account required. --- ### Features - Search by keyword, location, listing type (sale/rent), and property type - Filter by price range, surface area, number of rooms, and listing age - Configurable result limits to control costs precisely - Automatic pagination — retrieve hundreds or thousands of listings per run - Full dataset export to JSON, CSV, or Excel --- ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | — | Property type or keyword, e.g. `lakás` (flat), `ház` (house), `garázs` (garage). | | `locationQuery` | string | — | City or region, e.g. `Budapest`, `Debrecen`, `Budapest XIV. kerület`. | | `transaction` | string | `sale` | `sale` for for-sale listings, `rent` for rentals. | | `propertyType` | string | — | Filter by type: `flat`, `house`, `land`, `garage`, `office`, `commercial`. Leave empty for all. | | `maxItems` | integer | 100 | Maximum number of listings to return. Higher values trigger automatic pagination. | | `fetchDetails` | boolean | `false` | Fetch full description text from each listing's detail page. Increases run time. | | `daysOld` | integer | — | Only return listings published within the last N days. | | `startUrls` | array | — | Provide direct ingatlan.com search URLs to bypass keyword/location input. | --- ### Output Each result contains: | Field | Description | |-------|-------------| | `id` | Unique ingatlan.com listing ID | | `url` | Direct link to the listing | | `operationType` | `sale` or `rent` | | `priceAmount` | Asking price (number) | | `priceCurrency` | `HUF` or `EUR` | | `pricePerSqm` | Price per square metre | | `surfaceSqm` | Living area in square metres | | `rooms` | Number of rooms | | `city` | City | | `district` | District or neighbourhood | | `address` | Full address string | | `agencyUrl` | Agency or developer profile URL | | `images` | Array of image URLs (where available) | | `rank` | Search result rank | | `source` | Always `ingatlan.com` | | `scrapedAt` | ISO 8601 timestamp | --- ### Example input **Flats for sale in Budapest:** ```json { "searchQuery": "lakás", "locationQuery": "Budapest", "transaction": "sale", "maxItems": 200 } ```` **Houses for rent in Debrecen:** ```json { "searchQuery": "ház", "locationQuery": "Debrecen", "transaction": "rent", "maxItems": 50 } ``` **Direct URL:** ```json { "startUrls": [{ "url": "https://ingatlan.com/lista/kiado+lakas+budapest" }], "maxItems": 100 } ``` *** ### 💰 Pricing **$0.10 per run** + **$0.99 per 1,000 results.** The flat per-run fee covers the infrastructure required to access ingatlan.com. You only pay for listings successfully added to your dataset. | Results | Run fee | Result fee | Total | |---------|---------|------------|-------| | 20 | $0.10 | $0.02 | ~$0.12 | | 100 | $0.10 | $0.10 | ~$0.20 | | 500 | $0.10 | $0.50 | ~$0.60 | | 1,000 | $0.10 | $0.99 | ~$1.09 | | 10,000 | $0.10 | $9.90 | ~$10.00 | Use `maxItems` to control your spend precisely. *** *** ### Examples **Apartments for sale in Budapest** ```json { "transaction": "sale", "propertyType": "flat", "location": "Budapest", "maxItems": 100 } ``` **Houses in a price range** ```json { "transaction": "sale", "propertyType": "house", "minPriceHuf": 50000000, "maxPriceHuf": 150000000, "maxItems": 50 } ``` **Rental apartments — 2+ rooms** ```json { "transaction": "rent", "propertyType": "flat", "location": "Budapest", "minRooms": 2, "maxItems": 100 } ``` **New listings only — recent 7 days** ```json { "transaction": "sale", "location": "Budapest", "daysOld": 7, "maxItems": 200, "fetchDetails": true } ``` ### Related scrapers Other scrapers in our **Real Estate — CEE & Baltics** collection: - [Otodom.pl Scraper](https://apify.com/unfenced-group/otodom-scraper) - [Bezrealitky.cz Real Estate Scraper](https://apify.com/unfenced-group/bezrealitky-scraper) - [Imobiliare.ro Scraper](https://apify.com/unfenced-group/imobiliare-ro-scraper) - [SS.LV Real Estate Scraper](https://apify.com/unfenced-group/sslv-scraper) - [4zida.rs Scraper](https://apify.com/unfenced-group/4zida-scraper) *** ### Run it on a schedule This actor is built for repeat use. Set it to run daily, weekly, or hourly, and the data keeps flowing without you touching it. - **Schedule runs** — open the actor, go to Schedules, and pick a cadence. Each run only charges you for the results it returns. - **Connect it to your stack** — push results straight to Google Sheets, Slack, a webhook, or your database using Apify Integrations. No glue code needed. - **Pull results via API** — every run writes a clean dataset you can fetch with one API call, ready for whatever you build on top of it. Set it once and it runs on its own. *** ### Need a custom scraper? **[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free. If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio. **Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl) # Actor input Schema ## `transaction` (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. ## `minPrice` (type: `integer`): Minimum listing price (local currency). Leave empty for no minimum. ## `maxPrice` (type: `integer`): Maximum listing price (local currency). Leave empty for no maximum. ## `daysOld` (type: `integer`): Only return listings published within the last N days. Leave empty for no recency filter. ## `fetchDetails` (type: `boolean`): ON: fetches full job description, salary, company info, and all details. OFF: returns basic listing info only (faster, lower cost). ## `maxItems` (type: `integer`): Maximum number of listings to collect. Set to 0 for unlimited. ## `startUrls` (type: `array`): Ingatlan.com listing search page URLs to scrape directly. When provided, listingType / propertyType / location are ignored. ## `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. ## `mode` (type: `string`): Leave as 'normal'. 'probe' fetches a single page for diagnostics. ## Actor input object example ```json { "transaction": "sale", "propertyType": "", "location": "Budapest", "maxItems": 100, "startUrls": [ { "url": "https://ingatlan.com/lista/elado+lakas+budapest" } ], "mode": "normal" } ``` # Actor output Schema ## `results` (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 = { "location": "Budapest", "maxItems": 100, "startUrls": [ { "url": "https://ingatlan.com/lista/elado+lakas+budapest" } ] }; // 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 = { "location": "Budapest", "maxItems": 100, "startUrls": [{ "url": "https://ingatlan.com/lista/elado+lakas+budapest" }], } # 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 '{ "location": "Budapest", "maxItems": 100, "startUrls": [ { "url": "https://ingatlan.com/lista/elado+lakas+budapest" } ] }' | 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": "Extract real estate listings from ingatlan.com — Hungary's largest property portal. Filter by location, price, type, and more. No API key required. $0.99 per 1,000 results.", "version": "0.0", "x-build-id": "uAhrnpDBkBpfXzfTU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~ingatlan-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-ingatlan-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "transaction": { "title": "Transaction 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" }, "minPrice": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Minimum listing price (local currency). Leave empty for no minimum." }, "maxPrice": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Maximum listing price (local currency). Leave empty for no maximum." }, "daysOld": { "title": "Max listing age (days)", "minimum": 0, "type": "integer", "description": "Only return listings published within the last N days. Leave empty for no recency filter." }, "fetchDetails": { "title": "Include full job details", "type": "boolean", "description": "ON: fetches full job description, salary, company info, and all details. OFF: returns basic listing info only (faster, lower cost)." }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of listings to collect. Set to 0 for unlimited.", "default": 100 }, "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" } }, "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": "Minimum rooms", "minimum": 0, "type": "number", "description": "Minimum number of rooms (szoba). Use 0.5 for half-rooms. Client-side filter." }, "maxRooms": { "title": "Maximum 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." }, "mode": { "title": "Mode", "enum": [ "normal", "probe" ], "type": "string", "description": "Leave as 'normal'. 'probe' fetches a single page for diagnostics.", "default": "normal" } } }, "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 } } } } } } } } } } ```