🇰🇷 KOSPI Stock Screener — Korean Market Cap & Quotes

Track Korean stocks (KOSPI + KOSDAQ) with market cap, P/E, ROE, foreign-ownership %, sector, and recent price action — straight from Korea Exchange via Naver Finance. The Bloomberg Terminal alternative for Korean equities, priced for indie quants and Asia-focused funds.

Korean equities are one of the most under-instrumented major markets on the open web. Yahoo Finance has spotty KOSPI/KOSDAQ coverage, KRX's official API requires a Korean business registration to access, and most paid data vendors charge $2,000+/month for the same data this actor surfaces in seconds. This actor is built for the rest of us — solo traders, quant researchers, fintech builders, Asia hedge-fund analysts, and anyone running market-neutral or factor strategies that need real Korean coverage.

🎯 What you get per stock

Every record returned includes:

Field	Description
symbol	6-digit KRX ticker (e.g. 005930 for Samsung Electronics)
name	Korean company name (e.g. 삼성전자)
market	KOSPI or KOSDAQ
price_krw	Current price in Korean Won
change_krw	Today's price change in KRW
pct_change	Today's percentage change (signed)
par_value_krw	Par/face value per share
market_cap_billion_krw	Market capitalization in billions of KRW
market_cap_eok_krw	Market cap in 억 (hundred-millions) KRW — Korean convention
shares_outstanding	Total listed shares
foreign_ownership_pct	Percentage held by foreign investors (a key Korean-market signal)
volume	Today's trading volume in shares
per	Price-to-Earnings ratio
roe	Return on Equity (%)
sector	WICS sector (when enrich_sector=true)
wics_industry	WICS industry classification
naver_url	Direct link to the stock's Naver Finance page
scraped_at	UTC timestamp of the scrape

🚀 Quick start

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/kospi-stock-screener").call(run_input={
    "market": "KOSPI",
    "limit": 100,
    "min_market_cap_billion_krw": 1000  # 1 trillion KRW+ only
})

for stock in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{stock['symbol']:<8} {stock['name']:<20} "
          f"₩{stock['price_krw']:>12,.0f}  "
          f"PER {stock['per']:>6}  "
          f"MCap {stock['market_cap_billion_krw']:>10,.0f}억")

Sample output:

005930   삼성전자                ₩    268,500  PER   40.9  MCap  1,569,725억
000660   SK하이닉스              ₩  1,686,000  PER   28.6  MCap  1,201,616억
207940   삼성바이오로직스        ₩  1,043,000  PER   84.5  MCap    742,810억
...

🌐 cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~kospi-stock-screener/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"market":"all","limit":50}'

📊 Real-world use cases

• Quant research — pull the full KOSPI universe nightly, build factor models on PER, ROE, foreign-ownership %, and price momentum without paying a six-figure data subscription.
• ETF construction — define your own KOSPI200 or KOSDAQ150 alternative by filtering on minimum market cap and rebalancing weekly.
• Asia macro dashboards — track which sectors are absorbing or shedding foreign-investor flows; foreign ownership change is one of the most-watched signals in Korean markets.
• Korea-versus-China comparisons — pair this actor with eastmoney-china-stock-screener to build cross-market relative-value screens (e.g. Korean vs Chinese semiconductors).
• Academic finance research — Korean retail-investor behavior is a huge area of academic study; this actor gives reproducible market snapshots without scraping headaches.
• Fintech app data layers — power a Korean-equity widget for your robo-advisor, trading-journal app, or portfolio tracker.
• Hedge-fund daily refresh — schedule via the Apify scheduler at the post-close (15:30 KST = 06:30 UTC) and pipe the dataset into your warehouse.
• News + sentiment overlays — join with company-name lookups to attribute Korean-language news flow back to ticker IDs.

⚙️ Input parameters

Param	Type	Default	Notes
market	enum	KOSPI	KOSPI, KOSDAQ, or all
limit	int	50	Max stocks per market (1–2000)
sector	string	""	Substring filter (Korean or English) on sector / industry / name
min_market_cap_billion_krw	int	0	Filter: only stocks above this market cap (billion KRW)
enrich_sector	bool	false	Hit each detail page for WICS sector (slower; ~1 extra request per stock)
proxyConfiguration	object	residential	Apify proxy config

Examples

Just the top 10 KOSPI names (fast smoke test):

{ "market": "KOSPI", "limit": 10 }

KOSDAQ growth screen — top 100 by market cap, only names above ₩1 trillion:

{ "market": "KOSDAQ", "limit": 100, "min_market_cap_billion_krw": 1000 }

Korean semiconductor universe (with sector enrichment):

{ "market": "all", "limit": 500, "sector": "반도체", "enrich_sector": true }

Big-board only (KOSPI ≥10조원 / 10 trillion KRW):

{ "market": "KOSPI", "limit": 200, "min_market_cap_billion_krw": 10000 }

💰 Pricing

This actor uses pay-per-event pricing — you only pay for what you actually pull.

• Actor start: $0.005 per run
• Stock record: $0.02 per stock returned

So a typical 100-stock screen costs roughly $2.00. The full KOSPI top-200 large-cap snapshot is about $4.00. Compare to:

• Bloomberg Terminal — $24,000/year minimum
• Refinitiv (LSEG) Eikon — $22,000+/year
• KRX paid feed — only available to Korean entities, with a contract minimum

This actor pays for itself the first time you'd otherwise have spun up a Korean broker account just for the data.

🤔 FAQ

Q: Is the data real-time? Naver Finance lags the live KRX tape by 15–20 minutes during market hours (KST 09:00–15:30). After-hours, it shows the closing snapshot. This is the same delay you get from Yahoo Finance — sufficient for research, screening, and end-of-day rebalancing. For sub-second tick data you need a paid KRX licensee.

Q: What about volume = 0? On weekends, holidays, and pre-market hours the volume column is 0 because no trading has occurred yet. Price/PER/ROE remain valid — they reflect the most recent close.

Q: Can I get historical data? This actor returns the current snapshot. For historical price series, pair it with yahoo-finance-scraper using the symbol + .KS suffix (KOSPI) or .KQ (KOSDAQ).

Q: Korean names are unreadable in my CSV. Save the file as UTF-8 with BOM and open in Excel via Data → From Text/CSV. Or use pandas.read_csv(..., encoding='utf-8-sig') in Python.

Q: How do I match names to English company labels? Most major KOSPI names map cleanly: 삼성전자 = Samsung Electronics, SK하이닉스 = SK Hynix, 현대차 = Hyundai Motor, LG에너지솔루션 = LG Energy Solution, 포스코홀딩스 = POSCO Holdings, 네이버 = NAVER, 카카오 = Kakao. For a complete mapping, query the Korea Exchange's English ticker file or use the .KS/.KQ Yahoo symbology.

Q: Can I use this commercially? The data comes from Naver's public market summary page, which the Korean public has free access to. You own the output dataset. For redistribution as a paid product or syndication, consult Naver's Terms of Service and consider licensing direct from KRX.

Q: Is this maintained? Yes — NexGenData maintains 170+ Apify actors and ships fixes within 24 hours of bug reports. File issues via the Apify console's Issues tab on this actor's page.

Q: Why pay for this when I could scrape Naver myself? You could! But you'd spend a weekend dealing with EUC-KR encoding gotchas, handling pagination, parsing the table structure (which Naver tweaks every few months), figuring out the 억 vs 조 vs 원 unit conversions, setting up residential proxies for foreign IPs, and writing the rate-limit retry logic. Or you can pay $2 per 100-stock run and get it back as clean JSON in 15 seconds.

🔗 Related NexGenData actors

• 🇨🇳 Eastmoney Chinese A-Share Stock Screener — same proven pattern, for Shanghai/Shenzhen/ChiNext/STAR Market
• 📈 Finviz Stock Screener — US equities with 70+ filters
• 💹 Finance MCP Server — unified Claude/ChatGPT-tool wrapper for the full NexGenData finance fleet
• 📊 Yahoo Finance Scraper — historical OHLCV, statistics, options chain
• 🟢 IEX Cloud Replacement — fundamentals + quotes for US stocks

📚 More from NexGenData

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