# Kariyer Jobs Scraper (`powerai/kariyer-jobs-scraper`) Actor Scrape job listings from Kariyer.net by providing a search URL, with automatic pagination and comprehensive job information extraction. - **URL**: https://apify.com/powerai/kariyer-jobs-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 💼 Kariyer Jobs Scraper This actor allows you to scrape job listings from Kariyer.net by providing a search URL. It automatically handles pagination and extracts comprehensive job information including job titles, company details, locations, work models, and posting dates. ### Features - **URL-based Scraping:** Extract jobs by providing a complete Kariyer.net search URL - **Automatic Pagination:** Automatically navigates through pages and loads more jobs until reaching the end or max items limit - **Comprehensive Job Data:** Extract detailed information about each job listing including: - Job title and detail page URL - Company name and information - Location details - Work model (on-site, remote, etc.) - Employment type (full-time, part-time, etc.) - Posting date - Job status and metadata ### Input Parameters | Field | Type | Required | Description | |------------|---------|----------|------------------------------------------------| | `searchUrl`| string | Yes | Complete Kariyer.net job search URL to scrape | | `maxItems` | integer | No | Maximum number of jobs to fetch | ### Output The output is a main list of job objects, each containing: - `searchUrl`: The original search URL used - `title`: Job title - `detailPageUrl`: URL to the detailed job posting page - `company`: Company name - `location`: Job location - `workModel`: Work model (e.g., "İş Yerinde", "Uzaktan") - `badge`: Employment type badge (e.g., "Tam zamanlı", "Yarı zamanlı") - `postedAt`: Time since the job was posted - `positionId`: Position identifier - `companyId`: Company identifier - `jobCode`: Job code - `workType`: Work type code - `jobStatus`: Job status - `jobDateStatus`: Job date status - `workModelText`: Work model text description - `workTypeText`: Work type text description - `scrapedAt`: Timestamp of when the job was scraped Example output: ```json [ { "searchUrl": "https://www.kariyer.net/is-ilanlari/finans+uzmani", "title": "Finans Uzmanı", "detailPageUrl": "https://www.kariyer.net/is-ilani/gedik-holding-a-s-finans-uzmani-4306923", "company": "GEDİK HOLDİNG A.Ş.", "location": "İstanbul(Asya)", "workModel": "İş Yerinde", "badge": "Tam zamanlı", "postedAt": "1 gün", "positionId": "4306923", "companyId": "12345", "jobCode": "JOB001", "workType": "1", "jobStatus": "active", "jobDateStatus": "recent", "workModelText": "On-site", "workTypeText": "Full-time", "scrapedAt": "2025-11-18T06:53:26.052Z" }, ... ] ``` ### Use Cases - Job market research and analysis - Talent acquisition and recruitment - Salary and compensation research - Industry trend analysis - Job availability tracking - Competitive intelligence ### Notes - Results are automatically paginated until reaching the end or max items limit - All job information is extracted directly from the listing pages - The actor handles dynamic content loading and pagination automatically # Actor input Schema ## `searchUrl` (type: `string`): The complete Kariyer.net job search URL to scrape ## `maxItems` (type: `integer`): Maximum number of jobs to fetch ## `proxyConfiguration` (type: `object`): Proxy settings for the actor ## Actor input object example ```json { "searchUrl": "https://www.kariyer.net/is-ilanlari/finans+uzmani", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("powerai/kariyer-jobs-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 = {} # Run the Actor and wait for it to finish run = client.actor("powerai/kariyer-jobs-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 '{}' | apify call powerai/kariyer-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/kariyer-jobs-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/9hhDkHkHIYjPmyqGJ/builds/rslaPzeckTJzreDIS/openapi.json