# Profesia.sk Scraper — Slovakia Jobs (`blackfalcondata/profesia-scraper`) Actor Scrape profesia.sk — Slovakia’s largest job board. Salary data, employer contact details, and apply URLs with response tracking. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows. - **URL**: https://apify.com/blackfalcondata/profesia-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs - **Stats:** 4 total users, 1 monthly users, 66.7% runs succeeded, NaN 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 Profesia Scraper do? Profesia Scraper extracts structured job data from [profesia.sk](https://profesia.sk) — including salary data, contact details, company metadata, full descriptions, and remote-work indicators. 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, company profiles, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows. ### What data can you extract from profesia.sk? Each result includes Core listing fields (`jobId`, `jobKey`, `title`, `location`, `remoteType`, `salaryText`, `salaryMin`, and `salaryMax`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionLength`, `benefits`, and `detailFetched`), contact and apply information (`contactName`, `contactPhone`, `contactEmail`, and `applyUrl`), and company metadata (`company`, `companyUrl`, `companyId`, and `companyDescription`). 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, company profiles, and contact information 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. "programátor", "software engineer"). Use JSON array for multi-query. - **`location`** — Region slug (e.g. "bratislavsky-kraj", "kosicky-kraj"). Use JSON array for multi-location. - **`category`** — Category slug from profesia.sk URL path (e.g. "informacne-technologie", "ekonomika-financie"). - **`startUrls`** — Direct profesia.sk search or job detail URLs. - **`remoteFilter`** — Filter by remote work type. - **`jobType`** — Employment type filter slug from profesia.sk (e.g. "plny-uvazok" for full-time, "brigada" for part-time). - **`salaryMin`** — Minimum salary filter (EUR). Works with Salary Period. - **`salaryPeriod`** — Monthly or hourly for the salary filter. (default: `"m"`) - **`maxResults`** — Maximum total job listings to return (0 = unlimited). (default: `25`) - **`maxPages`** — Maximum SERP pages to scrape per search source. (default: `5`) - **`includeDetails`** — Fetch each job's detail page for full description, salary, contact info, and company data. (default: `true`) - **`includeCompanyProfile`** — Enrich each listing with company profile data (description, employee range). (default: `false`) - ...and 6 more parameters #### Input example ```json { "query": "software engineer", "salaryPeriod": "m", "maxResults": 5, "maxPages": 5, "includeDetails": true, "includeCompanyProfile": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false } ```` ### 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": "7d4642914a31c15dac5a464b5caab429f7f6420c339963ec5c8bd3010ab1cea5", "jobKey": "5253969", "title": "FrontEnd Developer", "company": "Pro HR", "companyUrl": "https://www.profesia.sk/praca/pro-hr/C56404", "companyId": "56404", "location": "Práca z domu", "remoteType": "onsite", "description": null, "descriptionHtml": null, "descriptionLength": 0, "salaryText": "Od 3 700 EUR/mesiac", "salaryMin": 3700, "salaryMax": null, "salaryCurrency": "EUR", "salaryType": "MONTH", "salaryGross": null, "employmentType": null, "postedDate": "2026-03-19", "validThrough": "2026-04-19", "startDate": null, "education": null, "benefits": "flexibilita\npráca s novými technológiami\nbenefity (konzultuje sa s klientom)", "category": "Informačné technológie", "positions": [ "Frontend programátor", "IT analytik", "Javascript programátor", "Programátor", "Softvérový inžinier" ], "contactName": "Mgr. Anna Spasová", "contactPhone": "+421 2 6241 3438, +421 911 525 022", "contactEmail": "anna.spasova@prohr.skspolo", "canonicalUrl": "https://www.profesia.sk/praca/pro-hr/O5253969", "applyUrl": "https://www.profesia.sk/job-application-redirect/5253969?_locale=sk&inc_stat=3&refLogin=jobApplication", "sourceUrl": "https://www.profesia.sk/praca/pro-hr/O5253969", "portalUrl": "https://www.profesia.sk/praca/pro-hr/O5253969", "sourceCountry": "SK", "sourceDomain": "profesia.sk", "searchQuery": "developer", "searchUrl": "https://www.profesia.sk/praca/?search_anywhere=developer", "isSponsored": false, "scrapedAt": "2026-03-26T23:25:41.232Z", "detailFetched": true, "contentQuality": "serp_only", "extractedEmails": [ "anna.spasova@prohr.skspolo" ], "companyDescription": null, "companyEmployeeRange": "10-19 zamestnancov" } ``` ### How to scrape profesia.sk 1. Go to [Profesia Scraper](https://apify.com/blackfalcondata/profesia-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 profesia.sk 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. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. ### How much does it cost to scrape profesia.sk? Profesia 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** - 100 results: **$0.21** - 500 results: **$1.01** Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient. ### FAQ #### How many results can I get from profesia.sk? The number of results depends on the search query and available listings on profesia.sk. Use the `maxResults` parameter to control how many results are returned per run. #### Does Profesia 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 Profesia Scraper with other apps? Yes. Profesia Scraper works with Apify's [integrations](https://apify.com/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 Profesia 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 Profesia Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-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 profesia.sk? This actor extracts publicly available data from profesia.sk. 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/profesia-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Extract job listings from arbeitsagentur.de — Germany's official public employment portal with 1M+. - [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape Dice.com tech job listings with structured salary (min/max/currency), full descriptions,. - [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Extract structured job listings from drushim.co.il, Israel's leading job board. Search by keyword,. - [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Extract structured job listings from Duunitori.fi — Finland's largest job board. Salary ranges,. - [Glassdoor Job Scraper](https://apify.com/blackfalcondata/glassdoor-job-scraper) — Extract structured job listings from Glassdoor across 21 markets with salary data, filters, compact. - [Indeed Job Scraper](https://apify.com/blackfalcondata/indeed-job-scraper) — Extract structured job listings from Indeed across 62 markets with built-in change tracking. - [Jobdanmark Scraper](https://apify.com/blackfalcondata/jobdanmark-scraper) — Extract structured job listings from jobdanmark.dk — Denmark's job portal with 14,500+ listings,. - [Jobindex Scraper](https://apify.com/blackfalcondata/jobindex-scraper) — Scrape structured job listings from Denmark's largest job portals — Jobindex.dk, IT-Jobbank.dk. # Actor input Schema ## `query` (type: `string`): Job search keywords (e.g. "programátor", "software engineer"). Use JSON array for multi-query. ## `location` (type: `string`): Region slug (e.g. "bratislavsky-kraj", "kosicky-kraj"). Use JSON array for multi-location. ## `category` (type: `string`): Category slug from profesia.sk URL path (e.g. "informacne-technologie", "ekonomika-financie"). ## `startUrls` (type: `array`): Direct profesia.sk search or job detail URLs. ## `remoteFilter` (type: `string`): Filter by remote work type. ## `jobType` (type: `string`): Employment type filter slug from profesia.sk (e.g. "plny-uvazok" for full-time, "brigada" for part-time). ## `salaryMin` (type: `integer`): Minimum salary filter (EUR). Works with Salary Period. ## `salaryPeriod` (type: `string`): Monthly or hourly for the salary filter. ## `maxResults` (type: `integer`): Maximum total job listings to return (0 = unlimited). ## `maxPages` (type: `integer`): Maximum SERP pages to scrape per search source. ## `includeDetails` (type: `boolean`): Fetch each job's detail page for full description, salary, contact info, and company data. ## `includeCompanyProfile` (type: `boolean`): Enrich each listing with company profile data (description, employee range). ## `descriptionMaxLength` (type: `integer`): Truncate description to this many characters. 0 = no truncation. ## `compact` (type: `boolean`): Output only core fields (for AI-agent/MCP workflows). ## `incrementalMode` (type: `boolean`): Track new/changed/removed jobs across runs. Requires stateKey. ## `stateKey` (type: `string`): Stable identifier for the tracked search universe (e.g. "sk-it-bratislava"). ## `emitUnchanged` (type: `boolean`): When incremental, also emit records that haven't changed. ## `emitExpired` (type: `boolean`): When incremental, also emit records no longer found. ## Actor input object example ```json { "query": "software engineer", "salaryPeriod": "m", "maxResults": 5, "maxPages": 5, "includeDetails": true, "includeCompanyProfile": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": 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": "software engineer", "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/profesia-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": "software engineer", "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/profesia-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": "software engineer", "maxResults": 5 }' | apify call blackfalcondata/profesia-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/profesia-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Profesia.sk Scraper — Slovakia Jobs", "description": "Scrape profesia.sk — Slovakia’s largest job board. Salary data, employer contact details, and apply URLs with response tracking. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows.", "version": "0.1", "x-build-id": "Zv1cOBav4kz36XMgP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~profesia-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-profesia-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~profesia-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-profesia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~profesia-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-profesia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Job search keywords (e.g. \"programátor\", \"software engineer\"). Use JSON array for multi-query." }, "location": { "title": "Location", "type": "string", "description": "Region slug (e.g. \"bratislavsky-kraj\", \"kosicky-kraj\"). Use JSON array for multi-location." }, "category": { "title": "Category", "type": "string", "description": "Category slug from profesia.sk URL path (e.g. \"informacne-technologie\", \"ekonomika-financie\")." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct profesia.sk search or job detail URLs.", "items": { "type": "string" } }, "remoteFilter": { "title": "Remote Work", "enum": [ "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by remote work type." }, "jobType": { "title": "Job Type", "type": "string", "description": "Employment type filter slug from profesia.sk (e.g. \"plny-uvazok\" for full-time, \"brigada\" for part-time)." }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum salary filter (EUR). Works with Salary Period." }, "salaryPeriod": { "title": "Salary Period", "enum": [ "m", "h" ], "type": "string", "description": "Monthly or hourly for the salary filter.", "default": "m" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum total job listings to return (0 = unlimited).", "default": 25 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum SERP pages to scrape per search source.", "default": 5 }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Fetch each job's detail page for full description, salary, contact info, and company data.", "default": true }, "includeCompanyProfile": { "title": "Include Company Profile", "type": "boolean", "description": "Enrich each listing with company profile data (description, employee range).", "default": false }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to this many characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Output only core fields (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Track new/changed/removed jobs across runs. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the tracked search universe (e.g. \"sk-it-bratislava\")." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit records that haven't changed.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "When incremental, also emit records no longer found.", "default": false } } }, "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 } } } } } } } } } } ```