Profession.hu Job Scraper

What does Profession.hu Job Scraper do?

Profession.hu Job Scraper extracts structured job data from profession.hu — including salary data, contact details, company metadata, full descriptions, remote-work indicators, location data, skill tags, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions and company metadata where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from profession.hu?

Each result includes Core listing fields (jobId, numericId, title, url, portalUrl, location, addressRegion, and postalCode, and more), detail fields when enrichment is enabled (locationDetail, benefits, and description), contact and apply information (applyUrl), and company metadata (companyName, companyId, companyLogoUrl, and companyProfileUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords (e.g. "developer", "marketing", "SAP").
• location — City or county name (e.g. "Budapest", "Győr-Moson-Sopron"). Leave empty for all of Hungary.
• locationId — Direct numeric location ID for profession.hu. Overrides the Location field when set. Find IDs from profession.hu URL segments.
• category — Job category slug to filter by (e.g. "informatika-telekommunikacio"). Maps to the category segment in profession.hu URLs.
• employmentType — Filter by employment type.
• remoteFilter — Filter by work arrangement.
• experienceLevel — Filter by required experience.
• maxResults — Maximum number of job listings to return. 0 = unlimited. (default: 25)
• includeDetails — Fetch each job's detail page for full description, skills, benefits, and more. Slower but much richer data. (default: true)
• descriptionMaxLength — Truncate description HTML to N characters. 0 = no truncation. (default: 0)
• compact — Return only core fields (jobId, title, company, location, salary, employment type, URL, posted date). Ideal for AI-agent/MCP workflows. (default: false)
• incrementalMode — Only output jobs that are new or changed since the previous run. (default: false)
• ...and 2 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "developer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "developer",
  "employmentType": "",
  "experienceLevel": "",
  "category": "informatika-telekommunikacio",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "developer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "developer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "developer",
  "employmentType": "",
  "experienceLevel": "",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "006ad039ac3a206538ed78e15079768ae56d754c1e804b08e5710fdf3fc710ca",
  "numericId": 2849228,
  "title": "Java Developer",
  "url": "https://www.profession.hu/allas/java-developer-shiwaforce-com-zrt-budapest-2849228",
  "portalUrl": "https://www.profession.hu/allas/java-developer-shiwaforce-com-zrt-budapest-2849228/optimum",
  "companyName": "ShiwaForce.com Zrt",
  "companyId": 29402,
  "companyLogoUrl": "https://www.profession.hu/images/logos/2/9/29402_1728031517.png",
  "companyProfileUrl": "https://www.profession.huhttps://www.profession.hu/allasok/shiwaforce-com-zrt/1,0,0,0,0,0,0,0,0,0,29402",
  "companyRating": null,
  "location": "Hibrid • Budapest XII.kerület",
  "locationDetail": "Hibrid • Budapest XII.kerület",
  "addressRegion": null,
  "postalCode": null,
  "country": "HU",
  "category": "IT programozás, Fejlesztés",
  "subcategory": "Programozó, Fejlesztő",
  "occupationalCategory": "IT programozás, Fejlesztés - Programozó, Fejlesztő",
  "employmentType": "Teljes munkaidő, Alkalmazotti jogviszony",
  "experienceRequired": "3-5 év tapasztalat",
  "educationRequirements": "Angol középfok, Főiskola",
  "workHours": "",
  "remoteType": "TELECOMMUTE",
  "salaryText": null,
  "benefits": "Mobiltelefon, Cafeteria, Szakmai tréningek, Nyelvtanulás támogatása, Sport támogatás",
  "requirements": "3-5 év tapasztalat • Angol középfok",
  "description": "<p>Task:</p>Development of high-availability, high-prestige enterprise portals and applicationsParticipation in system integration projects in both international and domestic marketsUse of the followi...",
  "responsibilities": "Development of high-availability, high-prestige enterprise portals and applicationsParticipation in system integration projects in both international and domestic marketsUse of the following technolog...",
  "skills": "Minimum 4-5 years of relevant work experience in Java developmentExperience with our tech stackJava 17+Spring BootKafkaSpring Scheduler / QuartzREST &amp; WebhooksExperience with notification channels...",
  "techStack": "TESTING • SQL • DATABASES • JUNIT • JAVA • SPRING • Kafka • POSTGRESQL • GIT • DOCKER • MAVEN • AGILE • SCRUM • MYSQL • NOSQL • DEVOPS • ACCESS • CMS • ANSIBLE",
  "taskSnippet": "Főbb feladatok Development of high-availability, high-prestige enterprise portals and applications Participation in system integration projects in both international and domestic markets Use of the fo...",
  "postedAt": "2026-03-09T10:20:30+01:00",
  "validThrough": "2026-04-09T21:13:13",
  "applyUrl": "https://www.profession.huhttps://www.profession.hu/allas/java-developer-shiwaforce-com-zrt-budapest-2849228/optimum?redirect=1&hash=d52bd67407e2570afeb8d1ac71e18e98",
  "applicationType": "karrierlink",
  "scrapedAt": "2026-03-27T20:15:00.873Z",
  "source": "profession.hu"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape profession.hu

1. Go to Profession.hu Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from profession.hu for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape profession.hu?

Profession.hu Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from profession.hu?

The number of results depends on the search query and available listings on profession.hu. Use the maxResults parameter to control how many results are returned per run.

Does Profession.hu Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Profession.hu Job Scraper with other apps?

Yes. Profession.hu Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Profession.hu Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Profession.hu Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape profession.hu?

This actor extracts publicly available data from profession.hu. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.