Kariyer Jobs Search Scraper
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from $1.00 / 1,000 results
Kariyer Jobs Search Scraper
Scrape job listings from Kariyer.net — Turkey's leading job platform. Extract titles, locations, work types, company IDs, sponsorship status, and 50+ fields per listing. Perfect for recruiters, analysts, and HR professionals targeting the Turkish job market.
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from $1.00 / 1,000 results
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Kariyer.net Jobs Scraper: Extract Turkey's Top Job Listings
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.
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.
Input Format
The scraper accepts a JSON configuration:
{"urls": ["https://www.kariyer.net/is-ilanlari?kw=audit&cp=2"],"ignore_url_failures": true,"max_items_per_url": 50}
| Field | Type | Default | Description |
|---|---|---|---|
urls | array | — | URLs of Kariyer.net job search result pages to scrape. 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. |
max_items_per_url | integer | 20 | Maximum number of job listings to collect per URL. Increase up to the page's listing count for full coverage. |
URL tips:
- Change
kw=to target different keywords (e.g.,kw=muhasebefor accounting) - Increment
cp=to paginate through results (page 1, 2, 3…) - Add multiple URLs to scrape across keywords or pages in a single run
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 |
How to Use
- Build your search URL on kariyer.net using the keyword (
kw=) and page (cp=) parameters. - Paste URLs into the
urlsarray — add multiple URLs for multi-keyword or multi-page runs. - Set
max_items_per_url— typical search pages show 20–50 listings; match this to your target count. - Enable
ignore_url_failuresfor bulk runs to prevent one bad URL from stopping the job. - 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.
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
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.