# Jobs.cz Scraper - Czech Job Listings (`conversational_kermis/jobscz`) Actor Scrape job listings from Jobs.cz, the largest Czech job board. Search by keyword and location for structured records: title, company, location, date, salary, description, plus a seniority and remote/hybrid/onsite intelligence layer. - **URL**: https://apify.com/conversational\_kermis/jobscz.md - **Developed by:** [the anh nguyen](https://apify.com/conversational_kermis) (community) - **Categories:** Jobs, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% 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 ## Jobs.cz Scraper - Czech Job Listings Extract job postings from **Jobs.cz**, the largest job board in the Czech Republic. Search by keyword and location, paginate through every result page, and get clean, structured records — job title, company, location, posting date, salary, and the full description. Each record is enriched with a derived **seniority level** and a **remote / hybrid / onsite** work-mode flag. ### What it does - Searches Jobs.cz for each keyword you provide (`python`, `účetní`, `project manager`, …) - Filters by city or region (`Praha`, `Brno`, `Ostrava`, …) - Paginates automatically up to your `maxResults` limit - Optionally opens each listing's detail page for the full job description - Derives seniority (junior / medior / senior) from the title - Detects work mode (remote / hybrid / onsite) from the ad text and badges - Runs on plain HTTP (no browser) — fast and cheap ### Quick start ```json { "keywords": ["python", "data engineer"], "location": "Praha", "maxResults": 100, "fetchDetails": false } ```` Paste that into the input, hit **Start**, and the run returns a dataset of Prague-based Python and data-engineering jobs. ### Input parameters | Field | Type | Description | |-------|------|-------------| | `keywords` | array | Search keywords/phrases, each searched independently. **Required.** | | `location` | string | City or region to filter by. Empty = all of Czechia. | | `maxResults` | integer | Max jobs to return across all keywords. `0` = no limit. Default `100`. | | `fetchDetails` | boolean | Fetch the full description (and salary when shown) from each detail page. Default `false`. | | `proxyConfiguration` | object | Standard Apify proxy input. Datacenter proxies are usually enough. | ### Output Each dataset item is one job posting: ```json { "source": "jobs.cz", "job_id": "2001282732", "url": "https://www.jobs.cz/rpd/2001282732/", "job_title": "Experienced Python Software Engineer (m/f/n)", "company_name": "ESET Research Czech Republic s.r.o.", "location": "Brno – Starý Lískovec + 1 další lokalita", "date_posted": "2026-06-29", "date_posted_raw": "29. června", "salary": null, "seniority": "senior", "work_mode": "hybrid", "tags": ["Možnost občasné práce z domova"], "description": null, "currency": "CZK", "scraped_at": "2026-07-05T18:20:00+00:00" } ``` With `fetchDetails: true`, the `description` field is populated from the job's detail page. ### Common uses - Building a Czech job board or ATS feed - Recruitment and talent-sourcing pipelines - Labor-market and salary research for the CZ market - Competitor hiring monitoring - Lead generation for staffing agencies ### Notes Jobs.cz serves fully rendered HTML, so this actor uses lightweight HTTP requests instead of a headless browser — faster and cheaper per result. Web scraping of publicly accessible information is generally permitted; always review Jobs.cz's Terms of Service and applicable regulations (including GDPR for EU data) before use. # Actor input Schema ## `keywords` (type: `array`): List of search keywords/phrases. Each is searched independently (e.g. "python", "účetní", "project manager"). ## `location` (type: `string`): Optional city or region to filter by (e.g. "Praha", "Brno", "Ostrava"). Leave empty for all of Czechia. ## `maxResults` (type: `integer`): Maximum number of job listings to return (across all keywords). 0 = no limit. ## `fetchDetails` (type: `boolean`): Fetch the full job description (and salary when shown) from each detail page. Slower but much richer output. Disable for a fast title/company/location scan. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Datacenter proxies are usually sufficient for jobs.cz. ## Actor input object example ```json { "keywords": [ "python", "java developer" ], "maxResults": 100, "fetchDetails": 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 = { "keywords": [ "python" ] }; // Run the Actor and wait for it to finish const run = await client.actor("conversational_kermis/jobscz").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 = { "keywords": ["python"] } # Run the Actor and wait for it to finish run = client.actor("conversational_kermis/jobscz").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 '{ "keywords": [ "python" ] }' | apify call conversational_kermis/jobscz --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=conversational_kermis/jobscz", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobs.cz Scraper - Czech Job Listings", "description": "Scrape job listings from Jobs.cz, the largest Czech job board. Search by keyword and location for structured records: title, company, location, date, salary, description, plus a seniority and remote/hybrid/onsite intelligence layer.", "version": "1.0", "x-build-id": "FCUJfk0DzgRIPINvR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/conversational_kermis~jobscz/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-conversational_kermis-jobscz", "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/conversational_kermis~jobscz/runs": { "post": { "operationId": "runs-sync-conversational_kermis-jobscz", "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/conversational_kermis~jobscz/run-sync": { "post": { "operationId": "run-sync-conversational_kermis-jobscz", "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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords", "type": "array", "description": "List of search keywords/phrases. Each is searched independently (e.g. \"python\", \"účetní\", \"project manager\").", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Optional city or region to filter by (e.g. \"Praha\", \"Brno\", \"Ostrava\"). Leave empty for all of Czechia." }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of job listings to return (across all keywords). 0 = no limit.", "default": 100 }, "fetchDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "Fetch the full job description (and salary when shown) from each detail page. Slower but much richer output. Disable for a fast title/company/location scan.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration. Datacenter proxies are usually sufficient for jobs.cz." } } }, "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 } } } } } } } } } } ```