Kariyer.net Jobs Scraper

Extract job listings from Kariyer.net with rich structured output for analytics, recruitment workflows, and market monitoring. Collect job cards plus detailed description data in one run, including description_html and description_text. Built for fast, repeatable data collection with clean records and empty values removed.

Features

• Rich job coverage — Collects title, company, locations, work model, posting data, and direct job URL
• Description included — Returns both description_html and description_text when available
• Detail-enriched output — Adds deep detail blocks like candidate criteria, company detail, SEO, and salary budget
• Clean dataset records — Automatically removes null and empty values from output
• Deduplicated results — Prevents repeated jobs during pagination
• Flexible start options — Use ready search URLs or build search from keyword and location
• Scalable collection — Control total jobs and page depth for small tests or larger runs

Use Cases

Talent Market Research

Track active roles, demand patterns, and job requirements across cities and sectors. Use structured fields to compare hiring trends over time.

Recruitment Intelligence

Build internal datasets of relevant openings for benchmarking. Review required qualifications, work model, and role levels quickly.

Job Board Monitoring

Monitor fresh listings and sponsorship visibility in one pipeline. Feed output into reporting dashboards or alerts.

Data Enrichment Pipelines

Use the detail blocks to enrich existing recruitment datasets. Combine company, criteria, SEO, and description attributes in downstream systems.

Content and Salary Analysis

Analyze position language and compensation-related metadata where available. Use text descriptions for classification and NLP tasks.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	["https://www.kariyer.net/is-ilanlari"]	One or more Kariyer listing/search URLs
keyword	String	No	—	Fallback keyword if startUrls is empty
location	String	No	—	Fallback location if startUrls is empty
max_job_age	String	No	"all"	Backward-compatible age filter ("24 hours", "7 days", "30 days", "all")
results_wanted	Integer	No	20	Maximum number of jobs to save
max_pages	Integer	No	20	Maximum pages to process per start URL
proxyConfiguration	Object	No	{"useApifyProxy": false}	Proxy configuration for reliability

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Output Data

Each dataset item includes core fields plus enriched detail sections.

Field	Type	Description
id	Integer	Job ID
title	String	Job title
company	String	Company name
url	String	Job URL
company_url	String	Company profile URL
location	String	Primary location text
all_locations	String	Extended location text
posting_date	String	Posting date
posted_relative	String	Relative publish text
employment_type	String	Employment type text
work_model	String	Work model value
is_easy_apply	Boolean	Easy apply flag
is_sponsored	Boolean	Sponsored listing flag
sector_names	Array	Sector names
district_names	Array	District names
description_html	String	Full description HTML
description_text	String	Plain-text description
detail_job_general_information	Object	Detailed general job block
detail_job_position_information	Object	Position detail block
detail_job_candidate_criteria	Object	Candidate criteria detail block
detail_job_company_information	Object	Company detail block
detail_job_statistics	Object	Job statistics block
detail_job_salary_budget	Object	Salary budget block
detail_job_seo	Object	SEO detail block
search_url	String	Source search URL
search_page	Integer	Source page number
crawled_at	String	Crawl timestamp

---

Usage Examples

Basic Run

{
  "results_wanted": 20
}

URL-Based Collection

{
  "startUrls": [
    "https://www.kariyer.net/is-ilanlari/istanbul"
  ],
  "results_wanted": 50,
  "max_pages": 5
}

Keyword and Location Fallback

{
  "keyword": "yazılım mühendisi",
  "location": "İstanbul",
  "results_wanted": 100,
  "max_pages": 10
}

Multi-URL Collection

{
  "startUrls": [
    "https://www.kariyer.net/is-ilanlari/ankara",
    "https://www.kariyer.net/is-ilanlari/izmir"
  ],
  "results_wanted": 150,
  "max_pages": 8
}

---

Sample Output

{
  "id": 4385220,
  "title": "Harita Mühendisi",
  "company": "Alkazan İnş. End. Tic. Ltd. Şti",
  "url": "https://www.kariyer.net/is-ilani/alkazan-ins-end-tic-ltd-sti-harita-muhendisi-4385220",
  "location": "Bursa",
  "employment_type": "Tam Zamanlı",
  "work_model": "OnSite",
  "posting_date": "2026-02-18",
  "posted_relative": "1 saat",
  "description_html": "<p>...</p>",
  "description_text": "Alkazan; Sağlık, inşaat, gıda...",
  "sector_names": ["Gıda", "İnşaat"],
  "detail_job_candidate_criteria": {
    "educationLevelText": ["Lisans"]
  },
  "search_url": "https://www.kariyer.net/is-ilanlari",
  "search_page": 1,
  "crawled_at": "2026-02-18T16:00:00.000Z"
}

---

Tips for Best Results

Start with a Small Test

• Run with results_wanted: 20 first
• Confirm output structure for your use case
• Then scale up pages and total results

Prefer Targeted Start URLs

• Use city or niche URLs in startUrls
• This improves relevance and reduces post-filtering effort
• Keep separate runs for separate verticals

Tune Volume Carefully

• Increase max_pages only as needed
• Keep results_wanted aligned with your downstream capacity
• Run scheduled jobs for continuous monitoring

Proxy Configuration

For stronger reliability in larger runs:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Integrations

Connect your dataset with:

• Google Sheets — Share and analyze job data quickly
• Airtable — Build searchable hiring databases
• Looker Studio — Create trend dashboards
• Slack — Send notifications for new matching jobs
• Make — Automate enrichment and routing
• Zapier — Trigger actions in business tools

Export Formats

• JSON — For APIs and development workflows
• CSV — For spreadsheet analysis
• Excel — For reporting and handoff
• XML — For system integrations

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Frequently Asked Questions

Does the actor return descriptions?

Yes. It returns both description_html and description_text when available for a listing.

Can I scrape multiple search pages?

Yes. Use max_pages to control per-URL pagination depth.

Can I scrape multiple URLs in one run?

Yes. Provide multiple entries in startUrls.

Why are some fields missing on certain records?

Some listings may not expose every field. Empty and null values are automatically removed from output.

Is data deduplicated?

Yes. Duplicate jobs are filtered during collection.

Can I run this on a schedule?

Yes. You can schedule runs in Apify Console for daily or hourly updates.

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Support

For issues or feature requests, use the Apify Console issue/support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection and research purposes. You are responsible for complying with website terms, local regulations, and applicable laws when using collected data.