# Profession.hu Scraper - Hungarian Job Listings (`studio-amba/profession-scraper`) Actor Scrape job listings from Profession.hu, Hungary's largest job portal with 19,000+ active postings. Search by keyword, location, and category. Extract job titles, companies, salaries, employment types, requirements, benefits, and full descriptions. No login or cookies required. - **URL**: https://apify.com/studio-amba/profession-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ### What does Profession.hu Scraper do? **Profession.hu Scraper** extracts job listings from [Profession.hu](https://www.profession.hu), Hungary's largest job portal with over 19,000 active postings from 5,300+ employers. It collects job titles, companies, locations, salaries, employment types, requirements, benefits, skills, and full descriptions. No login or cookies required. Use it on the Apify platform to get structured Hungarian job market data via API, schedule recurring scrapes, and integrate with tools like Zapier, Make, Google Sheets, and Slack. ### How to scrape Profession.hu data 1. Go to the Profession.hu Scraper on the Apify Store. 2. Click **Try for free** to open the actor in the Apify Console. 3. Enter a search query in Hungarian (e.g. "fejleszto" for developer, "mernok" for engineer). 4. Optionally set a location (e.g. "budapest", "debrecen", "szeged"). 5. Set the maximum number of results you want. 6. Click **Start** and wait for the run to finish. 7. Download your data as JSON, CSV, Excel, or HTML from the Output tab. ### Why use Profession.hu Scraper? - **Recruitment intelligence** -- Monitor job postings across Hungary to understand hiring trends, competitor activity, and talent demand. - **Salary benchmarking** -- Collect salary data across roles and regions to benchmark compensation in the Hungarian market. - **Market analysis** -- Track which sectors are growing, which companies are hiring most, and where demand is concentrated. - **Lead generation** -- Identify companies actively hiring to target with B2B services, HR tools, or recruitment solutions. - **Academic research** -- Gather structured Hungarian labor market data for economic, sociological, or HR studies. - **Talent mapping** -- Understand skill requirements and language demands across different industries in Hungary. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | String | No | Job search keyword in Hungarian (e.g. "fejleszto", "marketing", "mernok"). Defaults to "fejleszto" (developer). | | `location` | String | No | City or region (e.g. "budapest", "debrecen", "szeged", "pecs"). Leave empty for all Hungary. | | `category` | String | No | Job category filter (e.g. "IT", "Mernok", "Penzugy"). Leave empty for all categories. | | `maxResults` | Integer | No | Maximum number of job listings to scrape (default: 100, max: 10000). | | `proxyConfiguration` | Object | No | Proxy settings. Hungarian residential proxies recommended. | #### Example input ```json { "searchQuery": "fejleszto", "location": "budapest", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "HU" } } ```` ### Output Each result contains structured data about a single job listing. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. #### Example output ```json { "jobTitle": "Senior Java fejleszto", "company": "Morgan Stanley", "location": "Hibrid - Budapest", "salary": "800 000 - 1 200 000 Ft/ho", "employmentType": "Alkalmazotti jogviszony, Teljes munkaidล‘", "category": "IT, Programozo", "workSchedule": "Rugalmas munkarend", "experience": "5-10 ev tapasztalat", "education": "Egyetem", "languages": "Angol kozepfok", "postedDate": "Junius 03.", "jobDescription": "A csapat felelล‘s a globalis kereskedesi platform fejleszteseert...", "requirements": ["Java 11+", "Spring Boot", "Microservices", "SQL"], "benefits": ["Cafeteria", "Home office", "Egeszsegbiztositas"], "skills": ["Java", "Spring", "Docker", "Kubernetes"], "companyUrl": "https://www.profession.hu/allasok/morgan-stanley/1,0,0,0,0,0,0,0,0,0,12345", "url": "https://www.profession.hu/allas/senior-java-fejleszto-morgan-stanley-budapest-2915600", "scrapedAt": "2026-06-09T10:30:00.000Z" } ``` ### Data fields | Field | Type | Description | |-------|------|-------------| | `jobTitle` | String | Job position title | | `company` | String | Hiring company name | | `location` | String | Job location including work arrangement (Hibrid, Remote, On-site) | | `salary` | String | Salary information in HUF (when publicly available) | | `employmentType` | String | Employment relationship and work time | | `category` | String | Job category or sector | | `workSchedule` | String | Work schedule type (fixed, flexible, shift) | | `experience` | String | Required experience level | | `education` | String | Required education level | | `languages` | String | Required language skills | | `postedDate` | String | When the job was posted | | `jobDescription` | String | Full job description text | | `requirements` | Array | List of job requirements and qualifications | | `benefits` | Array | List of benefits and perks offered | | `skills` | Array | Required or preferred technical skills | | `companyUrl` | String | URL to the company profile on Profession.hu | | `url` | String | Direct URL to the job listing | | `scrapedAt` | String | ISO 8601 timestamp of when the data was collected | ### Cost estimate This actor uses approximately **1.5 compute units per 100 results** (Playwright-based). With the Apify free tier you can run smaller scrapes at no cost. For larger runs, expect roughly $0.50 per 100 job listings at standard Apify pricing. Using datacenter proxies instead of residential proxies reduces cost further. ### Tips - Use Hungarian keywords for best results. Common searches: "fejleszto" (developer), "mernok" (engineer), "marketing", "konyvelo" (accountant), "penzugy" (finance). - Set `maxResults` to a reasonable number to control cost and run time. - Hungarian residential proxies are recommended for reliable access. - Schedule recurring runs to track new job postings daily or weekly. - Combine with other job board scrapers (StepStone, Jobat, Indeed) for cross-country market analysis. - Salary data is often behind a paywall on Profession.hu -- the scraper extracts what is publicly visible. ### Hungarian job search keywords | English | Hungarian | |---------|-----------| | Developer | fejleszto | | Engineer | mernok | | Accountant | konyvelo | | Marketing | marketing | | Sales | ertekesito | | Driver | sofor | | Nurse | apolo | | Teacher | tanar | | Designer | tervezo | | Finance | penzugy | ### Integrations Connect Profession.hu Scraper with your existing tools and workflows: - **Google Sheets** -- Export Hungarian job listings directly to a spreadsheet for filtering and sharing. - **Slack** -- Get notified when new jobs matching your criteria appear. - **Zapier / Make** -- Build workflows that react to new Hungarian job postings in real time. - **Custom API** -- Access all results programmatically via the Apify API in JSON format. ### Limitations - Salary data is not available for all listings. Many Hungarian employers do not publish salary ranges publicly, or salary is behind a premium paywall. - Some detail fields may be empty depending on how the employer structured the listing. - The scraper extracts publicly visible data only. Premium-only content (detailed salary ranges) is not accessible. - Data is scraped from the live website and may change without notice if Profession.hu updates their page structure. ### FAQ and support **Is it legal to scrape Profession.hu?** Scraping publicly available data is generally permitted under EU law. This actor only accesses public job listings that require no login. **How often is the data updated?** The actor scrapes live data from Profession.hu each time it runs. Schedule it daily or weekly to track new postings. **Can I scrape all of Hungary?** Yes. Leave the location field empty to search across all Hungarian cities and regions. **I found a bug or have a feature request.** Open an issue in the Issues tab on the actor page. You can also request a custom scraping solution. # Actor input Schema ## `searchQuery` (type: `string`): Job search keyword in Hungarian or English (e.g. 'fejleszto', 'marketing', 'mernok'). Defaults to 'fejleszto' (developer) if empty. ## `location` (type: `string`): City or region (e.g. 'budapest', 'debrecen', 'szeged', 'pecs'). Leave empty for all Hungary. ## `category` (type: `string`): Job category filter (e.g. 'IT', 'Mernok', 'Penzugy'). Leave empty for all categories. ## `maxResults` (type: `integer`): Maximum number of job listings to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings. Hungarian residential proxies recommended for best results. ## Actor input object example ```json { "searchQuery": "fejleszto", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "HU" } } ``` # 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 = { "searchQuery": "fejleszto", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "HU" } }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/profession-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQuery": "fejleszto", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "HU", }, } # Run the Actor and wait for it to finish run = client.actor("studio-amba/profession-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "fejleszto", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "HU" } }' | apify call studio-amba/profession-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/profession-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Profession.hu Scraper - Hungarian Job Listings", "description": "Scrape job listings from Profession.hu, Hungary's largest job portal with 19,000+ active postings. Search by keyword, location, and category. Extract job titles, companies, salaries, employment types, requirements, benefits, and full descriptions. No login or cookies required.", "version": "0.1", "x-build-id": "HqJDHGJSrrbl40qWf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~profession-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-profession-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~profession-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-profession-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~profession-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-profession-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Job search keyword in Hungarian or English (e.g. 'fejleszto', 'marketing', 'mernok'). Defaults to 'fejleszto' (developer) if empty.", "default": "fejleszto" }, "location": { "title": "Location", "type": "string", "description": "City or region (e.g. 'budapest', 'debrecen', 'szeged', 'pecs'). Leave empty for all Hungary." }, "category": { "title": "Category", "type": "string", "description": "Job category filter (e.g. 'IT', 'Mernok', 'Penzugy'). Leave empty for all categories." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Hungarian residential proxies recommended for best results." } } }, "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 } } } } } } } } } } ```