# Profession.hu Job Scraper (`blackfalcondata/profession-scraper`) Actor
Scrape profession.hu - Hungary's largest job portal. Extract company ratings plus structured requirements and benefits from job listings. Incremental mode detects new and changed postings so recurring monitors return only the listings that need attention.
- **URL**: https://apify.com/blackfalcondata/profession-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 7 total users, 3 monthly users, 94.1% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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
### What does Profession.hu Job Scraper do?
Profession.hu Job Scraper extracts structured job data from [profession.hu](https://profession.hu) — Hungary's largest job portal. It pulls full job descriptions in three formats (HTML, Markdown, plain text), structured requirements, responsibilities and skills sections from detail pages, employer benefits, technology-stack tags for IT roles, and the canonical apply URL. It supports keyword search, location and category filters, and runs incremental monitoring across scheduled jobs so each run only emits jobs that are new, updated, or have come back after expiring.
### How to use this actor
- 👉 **Register for a free Apify account** — no credit card required.
- 🎉 Just click **[Sign up free on Apify →](https://console.apify.com/sign-up?fpr=1h3gvi&fp_sid=ctarich)** and complete a quick signup.
- 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
- ⏳ Scrape during the free trial, with no commitment or upfront payment required.
### Key features
- **📋 Detail enrichment** — every job is hydrated from its detail page with the full description, structured **requirements**, **responsibilities**, **skills** and **benefits** sections, education and experience requirements, work hours, remote/hybrid type, valid-through date, and the canonical apply URL.
- **🛠️ Tech-stack extraction** — for IT roles profession.hu lists the concrete technologies (e.g. `JAVASCRIPT • REACT • POSTGRESQL • DOCKER`); these are surfaced in a `techStack` field for skill-demand analysis and matching.
- **📝 Triple-format description** — `description` (plain text for AI prompts and search indexing), `descriptionHtml` (raw HTML preserved), `descriptionMarkdown` (paragraph-aware Markdown for rendering).
- **📁 Category filter** — narrow searches by Hungarian job category (e.g. `it-programozas-fejlesztes`, `bank-biztositas-broker`, `mernok`, `marketing-media-pr`); 23 categories supported, unknown slugs are warned and ignored.
- **♻️ Incremental mode** — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. State is automatically scoped per query + filters + result-window so different monitoring profiles never collide. Repost detection flags jobs that come back with the same content under a new ID. Saves 80–95% on daily monitoring.
- **📌 Change classification** — every record carries a `changeType` of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED, plus `firstSeenAt` / `lastSeenAt` / `previousSeenAt` / `expiredAt` lifecycle timestamps so you can build dashboards on top of the dataset.
- **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook. Pair with incremental + `notifyOnlyChanges` for daily "new Profession jobs" pings to your hiring channel.
- **📦 Compact mode** — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
- **✂️ Description truncation** — cap description length with `descriptionMaxLength` to control LLM prompt cost and dataset size.
- **📤 Export anywhere** — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
### What data can you extract from profession.hu?
Each result includes core listing fields (`jobId`, `numericId`, `title`, `url`, `portalUrl`, `companyName`, `location`, `postedAt`, and more), structured detail-page sections (`description`, `descriptionHtml`, `descriptionMarkdown`, `requirements`, `responsibilities`, `skills`, `benefits`, `techStack`, `educationRequirements`, `experienceRequired`, `workHours`, `remoteType`, `validThrough`), apply information (`applyUrl`, `applicationType`), company metadata (`companyId`, `companyLogoUrl`, `companyProfileUrl`, `companyRating`), and incremental lifecycle fields (`changeType`, `firstSeenAt`, `lastSeenAt`, `previousSeenAt`, `expiredAt`, `contentHash`). Where profession.hu publishes a free-form salary string, it's surfaced in `salaryText`. All fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.
### 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. Examples: "it-programozas-fejlesztes", "bank-biztositas-broker", "marketing-media-pr", "penzugy-konyveles", "mernok". Slugs match the category segment in profession.hu URLs. Unknown slugs are ignored with a warning.
- **`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 19 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.
```json
{
"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.
```json
{
"query": "developer",
"employmentType": "full-time",
"experienceLevel": "none",
"category": "it-programozas-fejlesztes",
"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.
```json
{
"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.
```json
{
"query": "developer",
"employmentType": "full-time",
"experienceLevel": "none",
"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
```json
{
"jobId": "c313a81daaed41a098189447ddf5c292fa23a7706824a1f7c1323df41a8c6fb4",
"numericId": 2885799,
"title": "Szoftverfejlesztő / .NET Developer",
"url": "https://www.profession.hu/allas/szoftverfejleszto-net-developer-quadro-byte-zrt-budapest-2885799/pro",
"portalUrl": "https://www.profession.hu/allas/szoftverfejleszto-net-developer-quadro-byte-zrt-budapest-2885799",
"companyName": "Quadro Byte zrt.",
"companyId": 8410,
"companyLogoUrl": "https://www.profession.hu/images/logos/8/8410_1505134649.jpg",
"companyProfileUrl": "https://www.profession.hu/allasok/quadro-byte-zrt/1,0,0,0,0,0,0,0,0,0,8410",
"location": "Budapest III.kerület",
"locationDetail": "Budapest III.kerület",
"addressRegion": "Budapest",
"postalCode": "1031",
"country": "HU",
"category": "IT programozás, Fejlesztés",
"subcategory": "Programozó, Fejlesztő",
"occupationalCategory": "IT programozás, Fejlesztés - Programozó, Fejlesztő",
"employmentType": "Alkalmazotti jogviszony",
"experienceRequired": "3-5 év tapasztalat",
"educationRequirements": "Nem kell nyelvtudás, Egyetem",
"benefits": "Cafeteria, Szakmai tréningek",
"requirements": "3-5 év tapasztalat • Nem kell nyelvtudás",
"description": "Főbb feladatok, munkák: Blazor alkalmazások fejlesztése és karbantartásaMeglévő ASP.NET MVC webalkalmazások támogatása, fejlesztéseLegacy rendszerek modernizálásaCsapatmunkában való részvétel Az állás...",
"descriptionHtml": "Főbb feladatok, munkák:
Blazor alkalmazások fejlesztése és karbantartásaMeglévő ASP.NET MVC webalkalmazások támogatása, fejlesztéseLegacy rendszerek modernizálásaCsapatmunkában való részvétel...",
"descriptionMarkdown": "Főbb feladatok, munkák:\n\nBlazor alkalmazások fejlesztése és karbantartásaMeglévő ASP.NET MVC webalkalmazások támogatása, fejlesztéseLegacy rendszerek modernizálásaCsapatmunkában való részvételAz állás...",
"responsibilities": "Blazor alkalmazások fejlesztése és karbantartásaMeglévő ASP.NET MVC webalkalmazások támogatása, fejlesztéseLegacy rendszerek modernizálásaCsapatmunkában való részvétel",
"skills": " ASP.NET MVC tapasztalatC# programozási nyelv magabiztos ismerete2+ év releváns tapasztalat.NET Framework / .NET Core / .NET 6+ ismereteMSSQL Server adatbázis kezelésT-SQL ismerete HTML, CSS, JavaScri...",
"techStack": "HTML • CSS • AZURE • GIT • JAVASCRIPT • SQL • FRONTEND • ASP.NET MVC • DEVOPS • MSSQL • Blazor",
"taskSnippet": "Főbb feladatok Blazor alkalmazások fejlesztése és karbantartása Meglévő ASP.NET MVC webalkalmazások támogatása, fejlesztése Legacy rendszerek modernizálása Csapatmunkában való részvétel",
"postedAt": "2026-04-24T15:07:07+02:00",
"validThrough": "2026-05-25T13:28:18",
"applyUrl": "https://www.profession.hu/jelentkezes/2885799",
"applicationType": "website",
"scrapedAt": "2026-05-04T11:28:16.061Z",
"contentHash": "021f371b5fa82aef",
"source": "profession.hu",
"firstSeenAt": "2026-05-04T11:28:16.061Z",
"lastSeenAt": "2026-05-04T11:28:16.061Z",
"changeType": "NEW"
}
```
### Incremental fields
When incremental mode is on, each record also carries:
- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `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](https://apify.com/blackfalcondata/profession-scraper?fpr=1h3gvi) 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, company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.
### Use cases
- Build a daily Hungarian-jobs feed by category (IT, banking, engineering, …) and stream NEW / UPDATED jobs to Slack or Telegram.
- Monitor job postings on scheduled runs without re-processing the full dataset every time, using incremental mode.
- Analyse skill demand across IT roles using structured `techStack` tags and `skills` sections.
- Feed enriched job descriptions (Markdown or plain text) into AI agents, MCP tools, and LLM prompts using compact mode and `descriptionMaxLength`.
- Auto-apply or feed apply URLs into your ATS / hiring pipeline.
- Track which employers post most actively in a category, with per-job `companyId` and company profile URLs.
- Detect reposts and lifecycle events (`REAPPEARED`, `EXPIRED`) for hiring-pattern research.
- Export structured Hungarian job data to dashboards, spreadsheets, or data warehouses.
### How much does it cost to scrape profession.hu?
Profession.hu Job Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/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**
- 25 results: **$0.06**
- 100 results: **$0.21**
- 200 results: **$0.41**
- 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](https://apify.com/integrations?fpr=1h3gvi) 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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, `descriptionMaxLength`, a single `descriptionFormat`, and `excludeEmptyFields` 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](https://apify.com/blackfalcondata/profession-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.
### You might also like
- [Actiris Brussels Job Scraper](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) — Scrape all active job listings from actiris.brussels — official Brussels public employment service..
- [AMS Austria Job Scraper — Austrian Public Employment Service](https://apify.com/blackfalcondata/ams-austria-job-scraper?fpr=1h3gvi) — Scrape jobs.ams.at — Austria's official AMS public employment portal, branded "alle jobs" ("all.
- [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
- [Arbeitsagentur Jobs Feed — German Federal Employment Agency](https://apify.com/blackfalcondata/arbeitsagentur-jobs-feed?fpr=1h3gvi) — Scrape arbeitsagentur.de — Germany's official public employment portal with over 1 million live job.
- [Arbetsformedlingen Job Scraper](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) — Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment portal. Returns 84.
- [Bayt.com Scraper — MENA Jobs with Salary & Skills Filter](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board spanning UAE, Saudi Arabia, Qatar, Egypt.
- [Bumeran Scraper — LATAM Jobs across 7 Countries & 8 Brands](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — Scrape Bumeran Group's job boards across LATAM — Argentina (bumeran.com.ar + zonajobs), Chile.
- [Cadremploi Scraper — French Executive & Management Jobs](https://apify.com/blackfalcondata/cadremploi-scraper?fpr=1h3gvi) — Scrape cadremploi.fr — France's leading job board for executives and managers (cadres). Salary.
### Getting started with Apify
New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctarich) — 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](https://apify.com/pricing?fpr=1h3gvi).
# Actor input Schema
## `query` (type: `string`):
Job search keywords (e.g. "developer", "marketing", "SAP").
## `location` (type: `string`):
City or county name (e.g. "Budapest", "Győr-Moson-Sopron"). Leave empty for all of Hungary.
## `locationId` (type: `integer`):
Direct numeric location ID for profession.hu. Overrides the Location field when set. Find IDs from profession.hu URL segments.
## `category` (type: `string`):
Job category slug to filter by. Examples: "it-programozas-fejlesztes", "bank-biztositas-broker", "marketing-media-pr", "penzugy-konyveles", "mernok". Slugs match the category segment in profession.hu URLs. Unknown slugs are ignored with a warning.
## `employmentType` (type: `string`):
Filter by employment type.
## `remoteFilter` (type: `string`):
Filter by work arrangement.
## `experienceLevel` (type: `string`):
Filter by required experience.
## `maxResults` (type: `integer`):
Maximum number of job listings to return. 0 = unlimited.
## `includeDetails` (type: `boolean`):
Fetch each job's detail page for full description, skills, benefits, and more. Slower but much richer data.
## `descriptionMaxLength` (type: `integer`):
Truncate description HTML to N characters. 0 = no truncation.
## `compact` (type: `boolean`):
Return only core fields (jobId, title, company, location, salary, employment type, URL, posted date). Ideal for AI-agent/MCP workflows.
## `incrementalMode` (type: `boolean`):
Only output jobs that are new or changed since the previous run.
## `stateKey` (type: `string`):
Unique key for incremental state. Use different keys for different search queries.
## `skipReposts` (type: `boolean`):
When incremental, skip jobs that are reposts of previously seen (now expired) jobs.
## `emitUnchanged` (type: `boolean`):
When incremental, also emit jobs whose tracked fields didn't change since the previous run. Default off — only NEW / UPDATED / REAPPEARED are emitted.
## `emitExpired` (type: `boolean`):
When incremental, also emit minimal stub records for jobs that disappeared from the SERP since the previous run. Default off.
## `telegramToken` (type: `string`):
Telegram bot token from @BotFather. Required for Telegram notifications.
## `telegramChatId` (type: `string`):
Telegram chat or channel ID where alerts are sent (e.g. "-100123456789" for a private group, or "@yourchannel").
## `discordWebhookUrl` (type: `string`):
Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks.
## `slackWebhookUrl` (type: `string`):
Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks.
## `whatsappPhoneNumberId` (type: `string`):
WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact.
## `whatsappAccessToken` (type: `string`):
Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager.
## `whatsappTo` (type: `string`):
Recipient phone in E.164 format (e.g. +36301234567). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta.
## `webhookUrl` (type: `string`):
Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend.
## `webhookHeaders` (type: `object`):
Optional headers (e.g. {"Authorization": "Bearer xyz"}) sent with the webhook POST.
## `notificationLimit` (type: `integer`):
Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.
## `notifyOnlyChanges` (type: `boolean`):
When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.
## `descriptionFormat` (type: `string`):
Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.
## `excludeEmptyFields` (type: `boolean`):
Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.
## `appConnector` (type: `string`):
Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog.
## `mcpIssueTeam` (type: `string`):
Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.
## Actor input object example
```json
{
"query": "developer",
"maxResults": 5,
"includeDetails": true,
"descriptionMaxLength": 0,
"compact": false,
"incrementalMode": false,
"skipReposts": false,
"emitUnchanged": false,
"emitExpired": false,
"notificationLimit": 5,
"notifyOnlyChanges": false,
"descriptionFormat": "all",
"excludeEmptyFields": false
}
```
# 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 = {
"query": "developer",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": false
};
// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/profession-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 = {
"query": "developer",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": False,
}
# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/profession-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 '{
"query": "developer",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": false
}' |
apify call blackfalcondata/profession-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=blackfalcondata/profession-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Profession.hu Job Scraper",
"description": "Scrape profession.hu - Hungary's largest job portal. Extract company ratings plus structured requirements and benefits from job listings. Incremental mode detects new and changed postings so recurring monitors return only the listings that need attention.",
"version": "0.1",
"x-build-id": "bC7dOiBSgGxGnuxXZ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/blackfalcondata~profession-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-blackfalcondata-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/blackfalcondata~profession-scraper/runs": {
"post": {
"operationId": "runs-sync-blackfalcondata-profession-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/blackfalcondata~profession-scraper/run-sync": {
"post": {
"operationId": "run-sync-blackfalcondata-profession-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"query"
],
"properties": {
"query": {
"title": "🔍 Search Term(s)",
"type": "string",
"description": "Job search keywords (e.g. \"developer\", \"marketing\", \"SAP\")."
},
"location": {
"title": "📍 Location",
"type": "string",
"description": "City or county name (e.g. \"Budapest\", \"Győr-Moson-Sopron\"). Leave empty for all of Hungary."
},
"locationId": {
"title": "Location ID",
"minimum": 0,
"type": "integer",
"description": "Direct numeric location ID for profession.hu. Overrides the Location field when set. Find IDs from profession.hu URL segments."
},
"category": {
"title": "📁 Category",
"enum": [
"",
"adminisztracio-asszisztens-irodai-munka",
"bank-biztositas-broker",
"szallitas-beszerzes-logisztika",
"egeszsegugy-gyogyszeripar",
"ertekesites-kereskedelem",
"gyartas-termeles",
"hr-munkaugy",
"it-programozas-fejlesztes",
"jog-jogi-tanacsadas",
"marketing-media-pr",
"oktatas-tudomany-sport",
"fizikai-seged-betanitott-munka",
"penzugy-konyveles",
"ugyfelszolgalat-vevoszolgalat",
"vendeglatas-hotel-idegenforgalom",
"epitoipar-ingatlan",
"mezogazdasag-kornyezet",
"szakmunka",
"it-uzemeltetes-telekommunikacio",
"uzleti-tamogato-kozpontok",
"mernok",
"kozigazgatas",
"cegvezetes-menedzsment"
],
"type": "string",
"description": "Job category slug to filter by. Examples: \"it-programozas-fejlesztes\", \"bank-biztositas-broker\", \"marketing-media-pr\", \"penzugy-konyveles\", \"mernok\". Slugs match the category segment in profession.hu URLs. Unknown slugs are ignored with a warning."
},
"employmentType": {
"title": "💼 Employment Type",
"enum": [
"",
"full-time",
"part-time",
"internship",
"contractor",
"student"
],
"type": "string",
"description": "Filter by employment type."
},
"remoteFilter": {
"title": "Remote / Hybrid",
"enum": [
"",
"hybrid",
"remote"
],
"type": "string",
"description": "Filter by work arrangement."
},
"experienceLevel": {
"title": "🎓 Experience Level",
"enum": [
"",
"none",
"1-3",
"3-5",
"5-10",
"10+"
],
"type": "string",
"description": "Filter by required experience."
},
"maxResults": {
"title": "💯 Max Results",
"minimum": 0,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of job listings to return. 0 = unlimited.",
"default": 25
},
"includeDetails": {
"title": "📋 Include Full Details",
"type": "boolean",
"description": "Fetch each job's detail page for full description, skills, benefits, and more. Slower but much richer data.",
"default": true
},
"descriptionMaxLength": {
"title": "✂️ Description Max Length",
"minimum": 0,
"type": "integer",
"description": "Truncate description HTML to N characters. 0 = no truncation.",
"default": 0
},
"compact": {
"title": "📦 Compact Output",
"type": "boolean",
"description": "Return only core fields (jobId, title, company, location, salary, employment type, URL, posted date). Ideal for AI-agent/MCP workflows.",
"default": false
},
"incrementalMode": {
"title": "♻️ Incremental Mode",
"type": "boolean",
"description": "Only output jobs that are new or changed since the previous run.",
"default": false
},
"stateKey": {
"title": "🔑 State Key",
"type": "string",
"description": "Unique key for incremental state. Use different keys for different search queries."
},
"skipReposts": {
"title": "🚫 Skip Reposts",
"type": "boolean",
"description": "When incremental, skip jobs that are reposts of previously seen (now expired) jobs.",
"default": false
},
"emitUnchanged": {
"title": "📤 Emit UNCHANGED records",
"type": "boolean",
"description": "When incremental, also emit jobs whose tracked fields didn't change since the previous run. Default off — only NEW / UPDATED / REAPPEARED are emitted.",
"default": false
},
"emitExpired": {
"title": "🪦 Emit EXPIRED records",
"type": "boolean",
"description": "When incremental, also emit minimal stub records for jobs that disappeared from the SERP since the previous run. Default off.",
"default": false
},
"telegramToken": {
"title": "🤖 Telegram Bot Token",
"type": "string",
"description": "Telegram bot token from @BotFather. Required for Telegram notifications."
},
"telegramChatId": {
"title": "💬 Telegram Chat ID",
"type": "string",
"description": "Telegram chat or channel ID where alerts are sent (e.g. \"-100123456789\" for a private group, or \"@yourchannel\")."
},
"discordWebhookUrl": {
"title": "🎮 Discord Webhook URL",
"type": "string",
"description": "Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks."
},
"slackWebhookUrl": {
"title": "💼 Slack Webhook URL",
"type": "string",
"description": "Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks."
},
"whatsappPhoneNumberId": {
"title": "📱 WhatsApp Phone Number ID",
"type": "string",
"description": "WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact."
},
"whatsappAccessToken": {
"title": "🔐 WhatsApp Access Token",
"type": "string",
"description": "Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager."
},
"whatsappTo": {
"title": "📨 WhatsApp Recipient",
"type": "string",
"description": "Recipient phone in E.164 format (e.g. +36301234567). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta."
},
"webhookUrl": {
"title": "🪝 Generic Webhook URL",
"type": "string",
"description": "Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend."
},
"webhookHeaders": {
"title": "🔑 Webhook Headers",
"type": "object",
"description": "Optional headers (e.g. {\"Authorization\": \"Bearer xyz\"}) sent with the webhook POST."
},
"notificationLimit": {
"title": "📊 Max Jobs Per Notification",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.",
"default": 5
},
"notifyOnlyChanges": {
"title": "🔄 Notify Only New/Updated",
"type": "boolean",
"description": "When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.",
"default": false
},
"descriptionFormat": {
"title": "Description format",
"enum": [
"all",
"text",
"html",
"markdown"
],
"type": "string",
"description": "Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.",
"default": "all"
},
"excludeEmptyFields": {
"title": "Exclude empty fields from output",
"type": "boolean",
"description": "Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.",
"default": false
},
"appConnector": {
"title": "Send results to Notion (or another connected app)",
"type": "string",
"description": "Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog."
},
"mcpIssueTeam": {
"title": "Issue tracker team",
"type": "string",
"description": "Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```