# Árukereső & ÁrGép scraper (`zinc_grill/arukereso-argep-scraper`) Actor Scrape product prices and seller offers from Hungary's two largest price comparison sites ÁrGép (argep.hu) and Árukereső (arukereso.hu). Extract the lowest price, seller name, shipping costs, and all competing offers for any product. Powered by Camoufox for reliable anti-detection. - **URL**: https://apify.com/zinc\_grill/arukereso-argep-scraper.md - **Developed by:** [Gergő Gyulai](https://apify.com/zinc_grill) (community) - **Categories:** Automation, E-commerce, Developer tools - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Árukereső & ÁrGép scraper Apify actor for fetching competitor prices from [ÁrGép](https://www.argep.hu) and [Árukeresö](https://www.arukereso.hu) using Camoufox stealth browser (Firefox-based anti-detection). ### Why Camoufox? Both ÁrGép and Árukeresö may block standard HTTP crawlers or headless browsers. Camoufox is a stealthy fork of Firefox that evades bot detection, making it ideal for sites with anti-scraping measures. ### Auto-detection The actor automatically detects which site a URL belongs to and uses the appropriate scraping strategy: - **argep.hu** → ÁrGép extractor - **arukereso.hu** → Árukeresö extractor You can mix URLs from both sites in a single run. ### What it scrapes #### ÁrGép (argep.hu) - All seller offers from `.offerListHoverContainer` blocks - Seller names from `data-sellerText` attributes - Prices from `.currentPrice .price` spans (handles split number formatting) - Shipping costs from `.shippingInfo` elements - Fallback: JSON-LD `AggregateOffer` structured data #### Árukeresö (arukereso.hu) - All seller offers from `.optoffer` blocks with Schema.org microdata - Seller names from `[itemprop="seller"] [itemprop="name"]` - Prices from `[itemprop="price"]` content attributes - Shipping info from `.delivery-info` elements - Fallback: JSON-LD structured data - Fallback: Any `itemprop="price"` elements ### Output Schema ```json { "url": "https://www.argep.hu/...", "source": "argep", "price": 184900, "seller": "ShopName", "position": null, "competitorsCount": 5, "allOffers": [ { "seller": "ShopA", "price": 184900 }, { "seller": "ShopB", "price": 189000, "shipping": 1990 } ], "fetchedAt": "2026-02-09T20:00:00.000Z" } ```` The `source` field indicates which site the data came from (`"argep"` or `"arukereso"`). ### Input ```json { "startUrls": [ { "url": "https://www.argep.hu/product/example-p12345/" }, { "url": "https://www.arukereso.hu/szintetizator-es-keyboard-c1011/korg/microkorg-xl-p181075345/" } ], "maxRequestsPerCrawl": 100, "excludeShops": ["myshop.hu"], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` | Parameter | Type | Description | |-----------|------|-------------| | `startUrls` | `array` | List of ÁrGép and/or Árukeresö product URLs to scrape | | `maxRequestsPerCrawl` | `number` | Max pages per run (default: 100) | | `excludeShops` | `string[]` | Shop names/domains to exclude from results | | `proxyConfiguration` | `object` | Proxy settings (residential recommended) | ### Development ```bash cd apify/camoufox-argep npm install npm run start:dev ``` ### Deployment ```bash apify push ``` # Actor input Schema ## `startUrls` (type: `array`): List of ÁrGép (argep.hu) and/or Árukeresö (arukereso.hu) product URLs to scrape prices from. You can mix URLs from both sites. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of pages to process in a single run ## `excludeShops` (type: `array`): Shop names or domains to exclude from results (e.g., your own shop to avoid self-matching). Works for both ÁrGép and Árukeresö. ## `proxyConfiguration` (type: `object`): Proxy settings for the crawler. Residential proxies are recommended to avoid blocking. ## Actor input object example ```json { "startUrls": [], "maxRequestsPerCrawl": 100, "excludeShops": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `dataset` (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": [] }; // Run the Actor and wait for it to finish const run = await client.actor("zinc_grill/arukereso-argep-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": [] } # Run the Actor and wait for it to finish run = client.actor("zinc_grill/arukereso-argep-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": [] }' | apify call zinc_grill/arukereso-argep-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zinc_grill/arukereso-argep-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Árukereső & ÁrGép scraper", "description": "Scrape product prices and seller offers from Hungary's two largest price comparison sites ÁrGép (argep.hu) and Árukereső (arukereso.hu). Extract the lowest price, seller name, shipping costs, and all competing offers for any product. Powered by Camoufox for reliable anti-detection.", "version": "0.0", "x-build-id": "Auyexoqj2kgK256m1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zinc_grill~arukereso-argep-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zinc_grill-arukereso-argep-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zinc_grill~arukereso-argep-scraper/runs": { "post": { "operationId": "runs-sync-zinc_grill-arukereso-argep-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zinc_grill~arukereso-argep-scraper/run-sync": { "post": { "operationId": "run-sync-zinc_grill-arukereso-argep-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "List of ÁrGép (argep.hu) and/or Árukeresö (arukereso.hu) product URLs to scrape prices from. You can mix URLs from both sites.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max requests per crawl", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of pages to process in a single run", "default": 100 }, "excludeShops": { "title": "Exclude shops", "type": "array", "description": "Shop names or domains to exclude from results (e.g., your own shop to avoid self-matching). Works for both ÁrGép and Árukeresö.", "items": { "type": "string" }, "default": [] }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for the crawler. Residential proxies are recommended to avoid blocking.", "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 } } } } } } } } } } ```