# Rocketjob Search Scraper (`getdataforme/rocketjob-search-scraper`) Actor Scrape job listings from Rocketjobs.pl using keyword searches to extract detailed data on titles, companies, salaries, skills, and locations. Perfect for market analysis, recruitment, and talent insights.... - **URL**: https://apify.com/getdataforme/rocketjob-search-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Real estate, Lead generation - **Stats:** 28 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / actor start 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ## Rocketjob Search Scraper ### Introduction The Rocketjob Search Scraper is a powerful Apify Actor designed to extract job listings from Rocketjobs.pl, Poland's leading job board. It enables users to scrape detailed job data based on search keywords, providing structured information on positions, companies, salaries, and more. This tool is ideal for job market analysis, recruitment agencies, and businesses seeking talent insights. ### Features - **Keyword-Based Search**: Scrape jobs using specific search terms like "Backend Developer" for targeted results. - **Comprehensive Data Extraction**: Captures job details including title, company info, location, salary, required skills, and application methods. - **High Performance**: Built on CheerioCrawler for fast, efficient scraping with minimal resource usage. - **Structured Output**: Delivers clean JSON data, easily integrable with databases or analytics tools. - **Configurable Limits**: Set maximum items to control crawl depth and avoid overloading servers. - **Reliable and Ethical**: Respects website terms and includes built-in delays to prevent rate limiting. - **Flexible Export**: Supports JSON, CSV, and Excel formats for seamless data handling. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | searchKeyword | string | Yes | The keyword to search for jobs (e.g., job title or skill). | "Backend Developer" | | maxItems | integer | No | Maximum number of job listings to scrape (default: 100). | 50 | ### Example Usage #### Input JSON ```json { "searchKeyword": "Backend Developer", "maxItems": 10 } ``` #### Output JSON ```json [ { "id": "e4fbad6e-5631-4ebb-b935-328e0c459325", "title": "Konsultant / Konsultantka ds. wdrożeń ERP – Księgowość finansowa", "slug": "lst-soft-sp-z-o-o--konsultant-konsultantka-ds-wdrozen-erp---ksiegowosc-finansowa-zlotniki-finanse-ksiegowosc", "url": "https://rocketjobs.pl/oferty-pracy/lst-soft-sp-z-o-o--konsultant-konsultantka-ds-wdrozen-erp---ksiegowosc-finansowa-zlotniki-finanse-ksiegowosc", "company": { "name": "LST-Soft Sp. z o.o.", "logo": "https://imgproxy.justjoinit.tech/MxuIdQqMn5UlU6QvQ30bZN4ZIVFM_4mDl12SBY2ScEw/h:200/w:200/plain/https://imgproxy.justjoinit.tech/OXPy-_NsMzx0eEKAS__eO0z2n8q2jdU9ZzWsPuWVRs8/h:200/w:200/plain/https://public.rocketjobs.pl/companies/logos/original/bf499d69a499729b5ab9683a5b3f626bcc99679d.png" }, "category": "finanse-ksiegowosc", "parentCategory": "finanse", "experienceLevel": "mid", "workplaceType": "office", "workingTime": "full_time", "primaryLocation": { "city": "Złotniki", "street": "Krzemowa 1", "coordinates": { "latitude": 52.4859904, "longitude": 16.8498866 } }, "allLocations": [ { "city": "Złotniki", "street": "Krzemowa 1", "coordinates": { "latitude": 52.4859904, "longitude": 16.8498866 } }, { "city": "Poznań", "street": "-", "coordinates": { "latitude": 52.40567859999999, "longitude": 16.9312766 } } ], "salary": "Not specified", "employmentTypes": [ { "from": null, "fromPerUnit": null, "to": null, "toPerUnit": null, "currency": "PLN", "currencySource": "original", "type": "any", "unit": "month", "gross": true } ], "requiredSkills": [ "analiza biznesowa", "ERP", "analityczne myślenie", "wsparcie klienta", "praca zespołowa", "księgowość", "wdrożenia ERP" ], "niceToHaveSkills": [ "VBA", "xml", "Reporting Services", "MS SQL" ], "languages": [], "applyMethod": "external", "isRemoteInterview": false, "publishedAt": "2026-02-10", "lastPublishedAt": "2026-01-16", "expiredAt": "2026-02-15", "isPromoted": false, "isSuperOffer": false, "isOpenToHireUkrainians": false } ] ``` ### Use Cases - **Market Research**: Analyze job trends and salary ranges in specific industries. - **Competitive Intelligence**: Monitor competitors' hiring needs and skill requirements. - **Recruitment Automation**: Build databases of potential candidates for agencies. - **Academic Research**: Study employment patterns and geographic distributions. - **Business Planning**: Identify talent gaps and plan workforce development. - **Content Aggregation**: Create job portals or newsletters with curated listings. ### Installation and Usage 1. Search for "Rocketjob Search Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., searchKeyword and maxItems). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs an array of job objects in JSON format. Each object includes fields like `id`, `title`, `company` (with name and logo), `category`, `experienceLevel`, `workplaceType`, `primaryLocation` (with city, street, and coordinates), `allLocations`, `salary`, `employmentTypes`, `requiredSkills`, `niceToHaveSkills`, `languages`, `applyMethod`, `publishedAt`, `expiredAt`, and promotional flags. This structured data ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `searchKeyword` (type: `string`): Enter the Search Term ## `maxItems` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "searchKeyword": "Backend Developer", "maxItems": 100 } ``` # Actor output Schema ## `overview` (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 = { "searchKeyword": "Backend Developer" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/rocketjob-search-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 = { "searchKeyword": "Backend Developer" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/rocketjob-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchKeyword": "Backend Developer" }' | apify call getdataforme/rocketjob-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/rocketjob-search-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/MxZmdMS8sPgLcVaoi/builds/o28w11VdKflnXaHvv/openapi.json