Kariyer.net Jobs Scraper: Extract Turkey's Top Job Listings

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What Is Kariyer.net?

Kariyer.net is one of Turkey's most prominent online job platforms, connecting employers across virtually every sector with millions of job seekers. It hosts a wide range of listings — from entry-level positions to senior executive roles — across industries including finance, technology, retail, and healthcare. Manually collecting and analyzing this data at scale is impractical. The Kariyer.net Jobs Scraper automates search result extraction, turning paginated listings into structured, analysis-ready datasets.

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Overview

The Kariyer.net Jobs Search Scraper targets job search result pages and extracts every visible listing with full metadata. It is built for:

• Recruiters monitoring the Turkish job market across sectors
• HR analysts benchmarking hiring trends, work models, and locations
• Data scientists building labor market datasets for Turkey
• Developers feeding job data into aggregator platforms or dashboards

Key features include keyword-based URL targeting, configurable result limits, and resilient error handling for bulk runs.

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Input Format

The Actor supports two scraping modes — use only one at a time:

1. Scrape by URLs — scrape data directly from a list of Kariyer.net job search result URLs.

{
  "urls": ["https://www.kariyer.net/is-ilanlari?kw=audit&cp=2"],
  "ignore_url_failures": true,
  "max_items_per_url": 50
}

2. Scrape by search filters — scrape data using a keyword and additional filters (location, work mode, publish date, sector, department, etc.) instead of providing URLs.

{
  "keyword": "audit",
  "location": "ankara",
  "sort_by": "dd",
  "work_mode": "",
  "published_at": "",
  "sector": "",
  "department": "",
  "position_level": "",
  "education_level": "",
  "page": 1,
  "max_items_per_url": 200
}

There is also a General settings group that applies to both modes.

1. Scrape by URLs

Use this mode when you already have specific search result URLs. When this mode is used, all options in the "Scrape by search filters" section will be disabled.

Field	Type	Default	Description
urls	array	(required)	URLs of Kariyer.net job search result pages to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. Supports multiple URLs. Use ?kw= for keyword and &cp= for page number.
ignore_url_failures	boolean	true	If true, the scraper continues running even if some URLs fail, instead of stopping the entire run. Recommended for bulk jobs.

URL tips:

• Change kw= to target different keywords (e.g., kw=muhasebe for accounting)
• Increment cp= to paginate through results (page 1, 2, 3…)
• Add multiple URLs to scrape across keywords or pages in a single run

2. Scrape by search filters

Use this mode when you want to search using a keyword and additional filter attributes instead of scraping by URLs. If you use this mode, leave the urls field above empty.

Field	Type	Default	Description
keyword	string	—	The keyword to search for.
location	string	—	The location to search for. Check valid location slugs directly in a Kariyer.net URL, e.g. https://www.kariyer.net/is-ilanlari/istanbul+avrupa-bilisim → use istanbul+avrupa-bilisim.
sort_by	string	—	Sort order for results. See values below.
work_mode	string	—	Working mode filter. See values below.
published_at	string	—	Filter by how recently the job was published. See values below.
sector	string	—	Sector/industry filter. See values below.
department	string	—	Department/job function filter. See values below.
position_level	string	—	Seniority level filter. See values below.
education_level	string	—	Required education level filter. See values below.
page	integer	—	The page number to start scraping from.

3. General settings

Applies to both scraping modes above.

Field	Type	Default	Description
max_items_per_url	integer	20	Maximum number of job listings to collect per URL/search. Increase up to the page's listing count for full coverage.
proxy	object	Apify RESIDENTIAL proxy (US)	Proxy configuration to be used by the scraper. Defaults to Apify Proxy with the RESIDENTIAL group and US country.

Building Your Search URL (for Scrape by URLs mode)

Navigate to kariyer.net, apply your desired filters (keyword, location, sector, etc.), then copy the resulting URL from your browser. Alternatively, build the URL manually using the query parameters below:

• kw — keyword search
• cp — page number

Example use case: https://www.kariyer.net/is-ilanlari?kw=audit&cp=2 searches for jobs matching "audit", starting from page 2.

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Output Format

Sample output

{
  "image": "https://img-kariyer.mncdn.com/mnresize/150/150/UploadFiles/Clients/SquareLogo/972/1972_317291.jpeg",
  "title": "Financial Reporting Specialist",
  "algorithm_name": null,
  "sub_title": "Banvit A.Ş.",
  "location": "İstanbul(Asya)",
  "ad_date": "8 gün",
  "time": "8 gün",
  "favorite": false,
  "recent": false,
  "last_day": false,
  "updated": false,
  "sponsor": false,
  "sponsored": false,
  "job_status": "Default",
  "handicapped": false,
  "disastered": false,
  "locations": [
    {
      "country_id": "65",
      "country_name": "Türkiye",
      "city_id": "82",
      "city_name": "İstanbul(Asya)",
      "job_town_location_list": []
    }
  ],
  "position_id": 9724,
  "badges": [
    {
      "type": "default",
      "text": "Tam zamanlı"
    }
  ],
  "url": "/is-ilani/banvit-a-s-financial-reporting-specialist-4453373",
  "job_id": 4453373,
  "company_id": 1972,
  "job_code": "RF-IO71531",
  "work_type": "FullTime",
  "work_type_id": "F",
  "is_favorite": false,
  "job_date_status": "Default",
  "is_easy_apply": false,
  "key": "undefined-4453373",
  "work_model": 0,
  "work_model_text": "İş Yerinde",
  "work_type_text": "Tam zamanlı",
  "is_selected": true,
  "applied_detail": null,
  "job_recommendation_model": null,
  "is_hidden": false,
  "chips": [],
  "version_id": 1,
  "calculated_from_score": false,
  "sponsored_score": "0.000003348147053",
  "is_redirect": false,
  "is_similar_position": false,
  "position_name": "Kıdemli Finansal Raporlama Uzmanı",
  "sector_id": "006000000",
  "sector_name": "Gıda",
  "country_id": "65",
  "country_name": "Türkiye",
  "city_id": "82",
  "city_name": "İstanbul(Asya)",
  "viewed": false,
  "from_url": "https://www.kariyer.net/is-ilanlari?kw=audit&cp=2"
}

Each listing returns 50+ fields. Below is a full breakdown by category:

Display & Identity

Field	Meaning
Title	Job title as shown in the listing
Sub Title	Secondary descriptor (e.g., department or seniority hint)
Position Name	Canonical position name used internally
Position ID	Unique identifier for the position type
Job ID	Unique ID for this specific job listing
Job Code	Internal job code assigned by the employer
Key	Composite key used for deduplication or lookup
Version ID	Version number of the listing record
URL	Direct link to the full job detail page
Image	Company logo or listing image URL
Algorithm Name	Ranking algorithm label applied to this listing

Location

Field	Meaning
Location	Primary location string displayed on the listing
Locations	Array of all associated locations (for multi-location roles)
City ID / City Name	City-level location identifier and label
Country ID / Country Name	Country-level location identifier and label
Displayed Location	Formatted location shown to job seekers

Dates & Timing

Field	Meaning
Ad Date	Date the listing was published
Time	Time component of the publish timestamp
Last Day	Application deadline date
Updated	Whether/when the listing was last updated
Job Date Status	Lifecycle status based on dates (e.g., active, closing soon)

Work Details

Field	Meaning
Work Type / Work Type ID / Work Type Text	Contract type (e.g., full-time, part-time) with ID and label
Work Model / Work Model Text	Work arrangement (e.g., remote, hybrid, on-site) with label
Job Status	Current status of the listing (open, closed, paused)

Company

Field	Meaning
Company ID	Unique identifier for the posting company
Sector ID / Sector Name	Industry sector of the employer

Engagement & Personalization

Field	Meaning
Favorite	Aggregate favorite/save count
Is Favorite	Whether the listing is saved by the current session user
Recent	Flag indicating a recently posted listing
Viewed	Whether the listing has been viewed
Applied Detail	Application status detail for the current user
Is Selected	Whether the listing is selected/highlighted
Is Hidden	Whether the listing is hidden from general results

Sponsorship & Promotion

Field	Meaning
Sponsor	Sponsor entity name if applicable
Sponsored	Boolean — whether the listing is a paid placement
Sponsored Score	Internal score determining sponsored ranking
Calculated From Score	Base score used in ranking calculations

Accessibility & Special Flags

Field	Meaning
Handicapped	Whether the role accepts or targets candidates with disabilities
Disastered	Flag for listings under disaster-relief hiring programs
Allow Students	Eligibility flag for student applicants

Application

Field	Meaning
Is Easy Apply	Whether one-click Easy Apply is enabled
Is Redirect	Whether clicking the listing redirects to an external site
Chips	Tags/chips displayed on the listing card (e.g., "New", "Hot")
Badges	Achievement or quality badges assigned to the listing

Recommendation

Field	Meaning
Job Recommendation Model	Model or logic used to recommend this listing to users
Is Similar Position	Whether the listing was surfaced as a similar position

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How to Use

1. Build your search URL on kariyer.net using the keyword (kw=) and page (cp=) parameters.
2. Paste URLs into the urls array — add multiple URLs for multi-keyword or multi-page runs.
3. Set max_items_per_url — typical search pages show 20–50 listings; match this to your target count.
4. Enable ignore_url_failures for bulk runs to prevent one bad URL from stopping the job.
5. Run and export — results are available as JSON, CSV, or Excel.

Best practices:

• Paginate by incrementing cp= to get full keyword coverage beyond page 1.
• Use multiple keywords in separate URLs within the same run for broader market scans.
• Schedule recurring runs to track new listings and detect removed ones by comparing Job ID.

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Use Cases & Business Value

• Market intelligence: Identify which sectors are actively hiring in Turkey and at what volume
• Compensation research: Cross-reference job titles, sectors, and work types for benchmarking
• Competitive hiring analysis: Track how often competitors post, what roles, and in which cities
• Job board aggregation: Feed structured Kariyer.net data into custom platforms or internal tools
• Academic research: Study Turkish labor market dynamics, remote work adoption, or regional hiring patterns

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Conclusion

The Kariyer.net Jobs Scraper gives you reliable, structured access to one of Turkey's largest job markets — without manual browsing or copy-pasting. With 50+ output fields covering everything from work models to sponsorship scores, it delivers the depth needed for serious recruitment intelligence or data-driven HR decisions. Run it today and start extracting insights from Turkey's job market at scale.