Kariyer Scraper 💰 $0.99/1K — Turkey Jobs, Detail & Salary avatar

Kariyer Scraper 💰 $0.99/1K — Turkey Jobs, Detail & Salary

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from $0.99 / 1,000 results

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Kariyer Scraper 💰 $0.99/1K — Turkey Jobs, Detail & Salary

Kariyer Scraper 💰 $0.99/1K — Turkey Jobs, Detail & Salary

Scrape jobs from Kariyer (kariyer.net), Turkey's largest job board — companies, locations down to district level, candidate criteria, market salary benchmarks, exact posting dates, and application counts, with incremental updates and notifications.

Pricing

from $0.99 / 1,000 results

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Black Falcon Data

Black Falcon Data

Maintained by Community

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2 days ago

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What does Kariyer Scraper do?

Kariyer Scraper extracts structured job data from kariyer.net — including salary data, apply URLs, company metadata, and full descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

  • ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.
  • 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
  • 🔗 Paste-mode — paste any kariyer URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
  • 🎯 Batch searches — pass ["term1", "term2"] for query, location, or city to batch multiple searches in one run — shared dedup state, single dataset, one Actor-Start charge instead of N.
  • 📧 Email + phone extraction — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as extractedEmails[] and extractedPhones[] on every record.
  • 🔗 URL + social-profile extraction — every record carries extractedUrls[] plus a structured socialProfiles { linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing } parsed from the description.
  • 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
  • ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
  • 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
  • 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from kariyer.net?

Each result includes Core listing fields (jobId, jobKey, jobCode, title, positionNameEn, positionLevel, employmentType, and workModel, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and descriptionLength), apply information (applyUrl and isEasyApply), and company metadata (company, companyId, companyLogo, and companyUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

  • query — Job search keywords. Use JSON array for multi-query.
  • country — Which kariyer.net market to search. (default: "TR")
  • location — City, state, or region. Use JSON array for multi-location.
  • startUrls — Direct search or job detail URLs.
  • maxResults — Maximum total job listings to return (0 = unlimited). (default: 25)
  • maxPages — Maximum SERP pages to scrape per search source. (default: 5)
  • maxAgeDays — Only return jobs posted within the last N days (e.g. 7). Leave empty for all.
  • fromDate — Only jobs posted on or after this date (YYYY-MM-DD).
  • toDate — Only jobs posted on or before this date (YYYY-MM-DD).
  • includeDetails — Fetch each job's detail page for the full description, candidate criteria, company info, and market salary benchmark. (default: true)
  • descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
  • compact — Output only core fields (for AI-agent/MCP workflows). (default: false)
  • ...and 16 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
"query": "yazılım",
"maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
"query": "yazılım",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "yazılım-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
"query": "yazılım",
"maxResults": 50,
"compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
"jobId": "ace5be207b29e947867010418dcbc4631ce250c72d01caa049d876d621e50571",
"jobKey": "4411740",
"jobCode": "RF-XU82055",
"title": "Çağrı Merkezi Satış Temsilcisi",
"positionNameEn": "Call Center Customer Representative",
"positionLevel": "Eleman",
"employmentType": "Tam Zamanlı",
"workModel": "OnSite",
"sector": "Bilişim, Yazılım, Çağrı Merkezi Hizmetleri",
"company": "İNTİA FLASH İLETİŞİM SAĞLIK VE DANIŞMANLIK ÇAĞRI",
"companyId": 306574,
"companyLogo": "https://img-kariyer.mncdn.com/mnresize/150/150/UploadFiles/Clients/SquareLogo/574/ai_kk_306574_6022024015127.png",
"companyUrl": "https://www.kariyer.net/firma-profil/intia-flash-iletisim-saglik-ve-danismanlik-cagri-306574-352707",
"companyFollowers": 5290,
"location": "İstanbul(Asya)",
"city": "İstanbul(Asya)",
"town": "Maltepe",
"countryName": "Türkiye",
"allLocations": [
{
"country": "Türkiye",
"city": "İstanbul(Asya)",
"town": "Maltepe"
}
],
"description": "Şirketimizde görevlendirilmek üzere, Çağrı Merkezi Satış Temsilcisi istihdam edilecektir.Çağrı merkezi sektörünün liderleri arasında yer alan İntia Şirketler Grubu 2007 Yılından itibaren uzman kadrosu...",
"descriptionText": "Şirketimizde görevlendirilmek üzere, Çağrı Merkezi Satış Temsilcisi istihdam edilecektir.Çağrı merkezi sektörünün liderleri arasında yer alan İntia Şirketler Grubu 2007 Yılından itibaren uzman kadrosu...",
"descriptionHtml": "<p>Şirketimizde görevlendirilmek üzere, Çağrı Merkezi Satış Temsilcisi istihdam edilecektir.<br><br>Çağrı merkezi sektörünün liderleri arasında yer alan İntia Şirketler Grubu 2007 Yılından itibaren uz...",
"descriptionMarkdown": "Şirketimizde görevlendirilmek üzere, Çağrı Merkezi Satış Temsilcisi istihdam edilecektir.\n\nÇağrı merkezi sektörünün liderleri arasında yer alan İntia Şirketler Grubu 2007 Yılından itibaren uzman kadro...",
"descriptionLength": 1712,
"experienceLevel": "Tecrübeli / Tecrübesiz",
"educationLevel": "Lise(Mezun), Ön Lisans(Öğrenci), Ön Lisans(Mezun), Üniversite(Öğrenci), Üniversite(Mezun), Yüksek Lisans(Öğrenci), Yüksek Lisans(Mezun), Doktora(Öğrenci), Doktora(Mezun)",
"universityDepartments": null,
"languages": null,
"militaryRequired": null,
"drivingLicense": null,
"salaryText": null,
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": null,
"salaryType": null,
"marketSalaryMin": 29700,
"marketSalaryMax": 40400,
"marketSalaryPositionName": "Çağrı Merkezi Müşteri Temsilcisi",
"marketSalarySampleSize": 320066,
"totalApplications": 1511,
"isActive": true,
"publishedAge": "18 saat",
"postedAt": "2026-05-30",
"validThrough": "23 Haziran 2026",
"lastModifiedAt": "30 Mayıs 2026",
"canonicalUrl": "https://www.kariyer.net/is-ilani/intia-flash-iletisim-saglik-ve-danismanlik-cagri-cagri-merkezi-satis-temsilcisi-4411740",
"applyUrl": "https://www.kariyer.net/is-ilani/intia-flash-iletisim-saglik-ve-danismanlik-cagri-cagri-merkezi-satis-temsilcisi-4411740",
"sourceUrl": "https://www.kariyer.net/is-ilani/intia-flash-iletisim-saglik-ve-danismanlik-cagri-cagri-merkezi-satis-temsilcisi-4411740",
"isSponsored": true,
"isEasyApply": true,
"isRedirect": false,
"sourceCountry": "Türkiye",
"sourceDomain": "www.kariyer.net",
"searchQuery": "yazılım",
"searchUrl": "https://www.kariyer.net/is-ilanlari/yazilim",
"fetchedAt": "2026-05-30T15:28:23.797Z",
"detailFetched": true,
"contentQuality": "full",
"contentHash": "6bd825ec90ca941b8f21a93ea0b91f7e553ec400d68de47e6f761b8fa261fbe4",
"extractedEmails": [],
"extractedPhones": [],
"extractedUrls": [],
"socialProfiles": {
"linkedin": null,
"twitter": null,
"instagram": null,
"facebook": null,
"youtube": null,
"tiktok": null,
"github": null,
"xing": null,
"bluesky": null,
"threads": null,
"mastodon": null
},
"isRepost": null,
"repostOfId": null,
"repostDetectedAt": null,
"changeType": null,
"trackedHash": null,
"firstSeenAt": null,
"lastSeenAt": null,
"previousSeenAt": null,
"expiredAt": null,
"stateKey": null
}

Incremental fields

When incremental: true, each record also carries:

  • changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
  • firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
  • isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape kariyer.net

  1. Go to Kariyer Scraper in Apify Console.
  2. Enter a search keyword and optional location filter.
  3. Set maxResults to control how many results you need.
  4. Enable includeDetails if you need full descriptions, company data.
  5. Click Start and wait for the run to finish.
  6. Export the dataset as JSON, CSV, or Excel.

Use cases

  • Extract job data from kariyer.net for market research and competitive analysis.
  • Track salary trends across regions and categories over time.
  • Monitor new and changed listings on scheduled runs without processing the full dataset every time.
  • Auto-apply or feed apply URLs into your ATS / hiring pipeline.
  • Research company hiring patterns, employer profiles, and industry distribution.
  • Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
  • Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape kariyer.net?

Kariyer Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

  • Run start: $0 per run
  • Per result: $0.00099 per job record

Example costs:

  • 10 results: $0.0099
  • 25 results: $0.02
  • 100 results: $0.1
  • 200 results: $0.2
  • 500 results: $0.49

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly cost after baseline
5% — stable niche query$0.10$0.00495$0.09 (95%)$0.15
15% — moderate broad query$0.10$0.01$0.08 (85%)$0.45
30% — high-volume aggregator$0.10$0.03$0.07 (70%)$0.89

Full re-scrape monthly cost at daily polling: $2.97. First month with incremental costs $0.24 / $0.53 / $0.96 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from kariyer.net?

The number of results depends on the search query and available listings on kariyer.net. Use the maxResults parameter to control how many results are returned per run.

Does Kariyer Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Kariyer Scraper with other apps?

Yes. Kariyer Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Kariyer Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Kariyer Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

This actor extracts publicly available data from kariyer.net. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

  1. Sign up — $5 platform credit included
  2. Open this actor and configure your input
  3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.