📈 Naver Finance Scraper

🚀 Export the whole Korean stock market in minutes. 66 fields per listing, including the sell side price target and mean recommendation that no other Korean market Actor on Apify returns, alongside the daily foreign, institutional and retail net buy.

Naver Finance is where Korea actually looks up its own market. It carries the sell side consensus, the daily investor flow breakdown and four years of statements for every KOSPI and KOSDAQ name, and it publishes all of it without a login. This Actor reads Naver's own JSON endpoints and returns each listing as one flat row: live price, valuation multiples, analyst rating and mean price target, foreign ownership, the net buy and sell of each investor class, peer comparison, broker research and the full income statement history.

Every run returns 66 fields per listing across a universe of 2,482 KOSPI and 1,823 KOSDAQ listings, sorted by market capitalization or filtered to any of 79 industry sectors. Numbers arrive as real numbers, not as Korean formatted strings, so a CSV opens in Excel and sorts correctly on the first try. A listing takes roughly 0.2 seconds to collect over plain HTTP, with no browser and no API key.

🎯 Target Audience	💡 Primary Use Cases
Quantitative analysts and fund managers	Build a KOSPI and KOSDAQ factor screen on PER, PBR, ROE and dividend yield.
Emerging market equity researchers	Track sell side price targets and consensus ratings across a whole sector.
Fintech and brokerage product teams	Back a Korean market watchlist, screener or robo advisor with a maintained feed.
Corporate strategy and M&A teams	Benchmark a Korean competitor's revenue, margin and market cap over four years.

📋 What the Naver Finance Scraper does

💡 Why it matters: Korean market data usually arrives one of two ways. Either it is a raw price feed with no fundamentals, or it is a terminal subscription priced for institutions. Naver Finance publishes the middle layer for free, in Korean, behind endpoints nobody documents. This Actor turns that layer into a clean English keyed table.

• 🎯 Analyst consensus, per stock. Mean recommendation score and mean price target straight from Naver's sell side aggregate, with the upside against the current price computed for you.
• 💸 Investor flow breakdown. Daily net buy volume split into foreign, institutional and retail, the single most watched signal on the Korean market. Optionally pull up to 100 trading days of history.
• 📊 Four years of statements. Revenue, operating profit, net income, margins, ROE, debt ratio, quick ratio, EPS, BPS and dividend per share, annual and quarterly, with the forward year flagged as an analyst forecast rather than an actual.
• 🏭 Sector browsing. Pick any of 79 verified industry sectors, from Semiconductors & Semiconductor Equipment to Cosmetics, and get every listed company in it ranked by market cap.
• 🏢 Peer comparison built in. Every row carries up to six same industry competitors with their price, change and market cap, taken from Naver's own peer panel.
• 📰 Broker research. The latest Korean brokerage reports on the stock with title, house, publication date, read count and a direct link.
• 🔢 Real numbers. 1,555조 1,101억원 becomes 1555110109728000. 11.93배 becomes 11.93. 46.71% becomes 46.71.
• 🌏 Bilingual industry labels. Sectors come back as Semiconductors & Semiconductor Equipment (반도체와반도체장비) so an English speaking analyst and a Korean speaking one read the same file.
• 📦 One fixed schema. 66 columns on every row, sentinels instead of nulls, so a spreadsheet or database mapping never breaks.

🎬 Full Demo (🚧 Coming soon)

A short walkthrough video is in production and will land here.

📊 Output

Each listing becomes one flat row. These are the main fields:

Field	Type	Description
🖼 imageUrl	string	Company logo.
🏢 stockName	string	Company name as Naver lists it, in Korean.
🔢 ticker	string	Six digit Korean ticker.
🏛 market	string	KOSPI or KOSDAQ.
🧾 securityType	string	stock, etf or etn.
🔗 url	string	Canonical Naver Finance page.
🏭 industryName	string	Sector in English with the Korean original.
🏷 industryCode	string	Naver's numeric sector code.
🚦 tradingStatus / marketStatus	string	Trading halt state and whether the session is open.
💵 closePrice / previousClose	number	Last close and the prior close, in KRW.
📊 priceChange / changePercent / direction	number, string	Absolute move, percent move, and Rising, Falling or Unchanged.
📐 openPrice / dayHigh / dayLow	number	Session range.
📅 week52High / week52Low	number	52 week range.
🕰 lastTradedAt	string	Last trade timestamp with the Seoul offset.
📦 tradingVolume	number	Shares traded.
💱 tradingValueKrw	number	Turnover in exact KRW.
🏦 marketCapKrw	number	Market capitalization in exact KRW.
🇰🇷 marketCapText	string	The same figure in Korean units, for example 1,555조 1,101억.
📊 per / forwardPer	number	Trailing and consensus forward price to earnings.
💰 eps / forwardEps	number	Trailing and consensus forward earnings per share, KRW.
📐 pbr / bps	number	Price to book and book value per share.
🎁 dividendPerShare / dividendYieldPercent	number	Annual dividend and yield.
🌏 foreignOwnershipPercent	number	Share of the float held by foreign investors.
⭐ analystRating	number	Mean sell side recommendation, 1 to 5.
🎯 analystPriceTarget	number	Mean 12 month target price, KRW.
🚀 analystUpsidePercent	number	Target against the current close, computed.
🗓 analystConsensusDate	string	When the consensus was last refreshed.
🌐 foreignerNetBuyShares	number	Foreign investors' net buy for the session, negative when selling.
🏛 institutionNetBuyShares	number	Institutional net buy.
🙋 individualNetBuyShares	number	Retail net buy.
📆 investorFlowDate	string	Session the flow numbers belong to.
🌙 afterHoursPrice / afterHoursChange / afterHoursChangePercent / afterHoursStatus	number, string	After hours session.
📘 fiscalYear	string	Latest reported fiscal year.
💵 revenue / operatingProfit / netIncome	number	Latest reported year, in exact KRW.
📈 operatingMarginPercent / netMarginPercent / roePercent / debtRatioPercent	number	Latest reported ratios.
🔮 forecastFiscalYear / forecastRevenue / forecastOperatingProfit / forecastNetIncome	string, number	Consensus forecast year.
🏢 peers	array	Up to six same sector competitors with price, change, market cap and link.
📰 researchReports	array	Broker reports with title, house, date, read count and link.
📚 financialsAnnual / financialsQuarterly	array	Full 16 row statement per period.
🌊 investorTrend	array	Daily investor flow history, optional.
🕯 priceHistory	array	Daily OHLC and volume history, optional.
🕒 scrapedAt	string	ISO 8601 collection time.
❌ error	string	Populated only on a row that failed.

Sample records

Three real rows from a run on 2026-08-27, trimmed to the headline fields:

{
  "stockName": "삼성전자",
  "ticker": "005930",
  "market": "KOSPI",
  "industryName": "Semiconductors & Semiconductor Equipment (반도체와반도체장비)",
  "closePrice": 266000,
  "changePercent": 1.72,
  "marketCapKrw": 1555110109728000,
  "per": 11.93,
  "forwardPer": 5.53,
  "pbr": 3.09,
  "eps": 22292,
  "roePercent": 10.85,
  "dividendYieldPercent": 0.63,
  "foreignOwnershipPercent": 46.71,
  "analystRating": 4.04,
  "analystPriceTarget": 491875,
  "analystUpsidePercent": 84.92,
  "foreignerNetBuyShares": 1381786,
  "institutionNetBuyShares": -97433,
  "individualNetBuyShares": -3223427,
  "revenue": 333605900000000,
  "operatingProfit": 43601100000000,
  "forecastFiscalYear": "2026.12",
  "forecastRevenue": 738467500000000
}

{
  "stockName": "SK하이닉스",
  "ticker": "000660",
  "market": "KOSPI",
  "industryName": "Semiconductors & Semiconductor Equipment (반도체와반도체장비)",
  "closePrice": 1730000,
  "changePercent": 2.49,
  "marketCapKrw": 1263751791450000,
  "per": 7.71,
  "forwardPer": 4.95,
  "pbr": 4.67,
  "eps": 224313,
  "roePercent": 44.15,
  "dividendYieldPercent": 0.17,
  "foreignOwnershipPercent": 50.65,
  "analystRating": 4,
  "analystPriceTarget": 3317917,
  "analystUpsidePercent": 91.79,
  "foreignerNetBuyShares": -159385,
  "institutionNetBuyShares": -140329,
  "individualNetBuyShares": -335812,
  "revenue": 97146700000000,
  "operatingProfit": 47206300000000,
  "forecastFiscalYear": "2026.12",
  "forecastRevenue": 345803900000000
}

{
  "stockName": "삼성전기",
  "ticker": "009150",
  "market": "KOSPI",
  "industryName": "Electronic Equipment & Instruments (전자장비와기기)",
  "closePrice": 1385000,
  "changePercent": 4.14,
  "marketCapKrw": 103450768960000,
  "per": 106.67,
  "forwardPer": 69.9,
  "pbr": 10.23,
  "roePercent": 7.7,
  "foreignOwnershipPercent": 37.43,
  "analystRating": 4,
  "analystPriceTarget": 2350500,
  "analystUpsidePercent": 69.71,
  "peers": [
    { "ticker": "011070", "stockName": "LG이노텍", "closePrice": 597000, "changePercent": 2.4, "direction": "Rising", "marketCapKrw": 14129262000000 }
  ],
  "researchReports": [
    { "title": "[NDR 후기] 수급 불안을 먹고 자라는 중", "brokerage": "하나증권", "publishedAt": "2026-08-11", "readCount": 23744 }
  ]
}

✨ Why choose this Actor

• Sell side consensus, which nobody else carries. Mean analyst recommendation and mean 12 month price target ship on every covered row. No other Korean market Actor on Apify publishes them, and they arrive next to the foreign, institutional and retail net buy that Korean traders actually watch.
• English keys on Korean data. Every column is a plain English key and every sector carries an English label, so an analyst who does not read Korean can still work the file.
• Exact KRW, not Korean units. Market cap and turnover come back as integers in won. You never have to parse 조 and 억 yourself.
• Fast and light. Plain HTTP against Naver's own JSON, roughly 0.2 seconds per listing, 512 MB of memory, no browser and no proxy required.
• Whole universe coverage. 2,482 KOSPI and 1,823 KOSDAQ listings, or one of 79 sectors, in a single run.
• Honest about its limits. The ceiling section below spells out what Naver does not publish, before you spend anything.

📈 How it compares to alternatives

	This Actor	Typical Korean market scrapers
Analyst rating and price target	Yes, mean recommendation and mean target	No
Foreign, institution and retail net buy	Yes, daily, with up to 100 days of history	Rarely, and usually aggregate only
Annual and quarterly statements	Yes, 16 rows over 4 periods, forecast year flagged	Sometimes annual only
Peer comparison	Yes, up to 6 same sector names per row	No
Broker research links	Yes, up to 5 per stock	No
Sector browsing	Yes, 79 verified sectors	Market wide only
Values as numbers	Yes, exact KRW integers	Often Korean formatted strings
Login or API key	None	Some require a data vendor key
Fields per row	66	Commonly 10 to 20

The ceiling, stated plainly. Naver publishes an aggregate consensus, not the underlying analyst rows, so you get the mean recommendation and the mean price target but not each house's individual call. Broker research is capped at the 5 most recent reports per stock, and the Actor returns the report metadata and link rather than the report PDF. Investor flow and price history are capped at 100 trading days per run because Naver's own endpoint stops there. Naver has no English company name anywhere in its data, so stockName is Korean and the ticker is the reliable join key. Finally, listings are market cap ranked and that ordering cannot be changed on Naver's side: filtering by sector, security type or minimum market cap happens in the Actor, not at the source.

🚀 How to use

1. Create a free Apify account. New accounts get $5 in free credit. Sign up here.
2. Open the Actor and go to the Input tab.
3. Choose a starting point. Pick a market to browse the whole of KOSPI or KOSDAQ, pick one of the 79 sectors, or supply specific companies by Naver Finance URL, six digit ticker, or company name search.
4. Set Max Items to the number of listings you want back.
5. Toggle the extras. Financial statements and peers are on by default. Turn on investor flow history or price history when you need the time series, and turn off what you do not need to make large runs faster.
6. Click Start and watch the log.
7. Download your data from the Storage tab as CSV, JSON, Excel or XML, or pull it from the API.

Combine inputs freely. URLs, tickers and search terms are always scraped first, then a market or sector browse fills the remaining slots up to Max Items.

💼 Business use cases

Factor screening and quantitative research. Pull all 2,482 KOSPI listings once a day and rank them on any combination of PER, forward PER, PBR, ROE, dividend yield and debt ratio. Because forwardPer and forwardEps are consensus based and per is trailing, you get both the realised and expected side of a value screen in the same row, which is normally two separate data purchases.

Sell side consensus tracking. analystPriceTarget and analystRating come with analystConsensusDate, so a daily run gives you a time series of how the street's view on a name is drifting. Cross that against analystUpsidePercent and you have a ready made list of the most and least loved names in a sector.

Foreign flow monitoring. Korean equities move on foreign investor positioning more than most markets. Turn on investor flow history to get up to 100 trading days of foreign, institutional and retail net buy for a watchlist, and you can see accumulation or distribution building before it shows up in the price.

Competitive and M&A benchmarking. Scrape a sector with the industry filter and you get every listed competitor's four year revenue, operating profit, margin and ROE trajectory alongside their current valuation, plus Naver's own peer panel for each name. That is the raw material for a comps table without a terminal subscription.

🔌 Automating Naver Finance Scraper

Schedule a run for just after the Seoul close at 15:30 KST and push the results wherever your team already works. Apify's native integrations cover Make and Zapier for no code workflows, Slack for a daily movers digest, Airbyte for loading into a warehouse, GitHub for triggering on repository events, and Google Drive for dropping a fresh CSV into a shared folder. Anything not on that list can read the dataset straight from the Apify API or a webhook.

🌟 Beyond business use cases

Research. Academics studying emerging market efficiency, retail versus institutional behaviour, or the informational content of sell side targets get a clean daily panel of an entire national market at no licensing cost.

Personal. A retail investor can maintain a personal Korean watchlist with the same fundamentals and consensus a professional sees, in a spreadsheet they own, updated on their own schedule.

Non-profit. Governance and transparency organisations can track ownership concentration and foreign holdings across the chaebol linked listings that dominate the KOSPI.

Experimentation. The 66 field schema plus four years of statements makes a solid training set for anyone building a valuation model, a stock screener side project, or an LLM agent that answers questions about the Korean market.

🤖 Ask an AI assistant about this scraper

Paste this into ChatGPT, Claude or any assistant that can browse:

Read https://apify.com/parseforge/naver-finance-scraper and tell me how to use it to build a KOSPI value screen ranking companies on PER, PBR and ROE, and what the input JSON should look like.

The Actor's input schema, output schema and this README are all published on that page, so an assistant can generate a working input for you without you reading a line of documentation.

❓ Frequently Asked Questions

🔑 Do I need a Naver account or an API key? No. Everything this Actor reads is published by Naver Finance to logged out visitors.

🌏 Are company names available in English? No. Naver Finance carries no English company name in any of its endpoints, so stockName is Korean. Use ticker as your join key against any English reference data you already have. Sector names are the exception and do come back bilingually.

📉 Does it cover KOSDAQ as well as KOSPI? Yes. 2,482 KOSPI listings and 1,823 KOSDAQ listings, both including ETFs and ETNs. Use the Security Types filter to keep only common stock.

🕒 How fresh is the price data? Naver serves the live session price while the Seoul market is open, 09:00 to 15:30 KST, and the settled close afterwards. Every row carries lastTradedAt with the Seoul offset and marketStatus so you always know which one you are looking at.

🌙 What is afterHoursPrice? Korea runs an after hours single price session following the close. When it is active or has settled, those fields carry it. Outside that window they return N/A.

📊 What does analystRating mean? It is Naver's mean sell side recommendation on a 1 to 5 scale, where 5 is the strongest buy. A small cap with no analyst coverage returns N/A rather than a fabricated number.

💱 What currency and units are the financial figures in? Everything monetary is in Korean won. Revenue, operating profit, net income, market cap and turnover are exact integer KRW. Per share figures like EPS, BPS and dividend are KRW per share. Ratios are percentages.

🔮 Why is one of the financial periods marked as a forecast? Naver includes the consensus forecast year alongside reported years. Every entry in financialsAnnual and financialsQuarterly carries isForecast, and the row level forecast* fields are always the forecast year, so you never mistake an estimate for an actual.

🚫 Why do some rows have N/A in the analyst and dividend fields? Because Naver genuinely has nothing there. Small caps often carry no analyst coverage and many growth names pay no dividend. The Actor never emits a null and never invents a value, so N/A means the source withholds it.

📄 Can I get the full text of the broker research reports? No. The Actor returns each report's title, brokerage, date, read count and a direct link. The report itself is a PDF on Naver's research pages and is not included.

🛡 Do I need a proxy? No. Naver Finance serves this data without blocking and the proxy option is off by default. Turn it on only if you are running unusually large jobs or need a specific egress country.

📦 How many listings can one run return? Up to 1,000,000 on a paid plan. In practice the whole Korean market is 4,305 listings, so a full market sweep is a single small run.

🔌 Integrate with any app

Every run's dataset is available through the Apify API, so you can pull results into any language or platform that speaks HTTP. Apify also ships official clients for JavaScript and Python, plus native integrations for Make, Zapier, Airbyte, Slack, GitHub and Google Drive.

🔗 Recommended Actors

• Morningstar Fund & ETF Scraper - fund and ETF fundamentals to sit alongside your single stock data.
• Benzinga Financial News Scraper - market news and analyst actions to pair with the consensus numbers here.
• Crunchbase Scraper - private company and funding data for the pre IPO side of the same sectors.
• Rakuten Japan Product Scraper - consumer demand signal from the other major North Asian market.
• FINRA BrokerCheck Scraper - broker and advisor records for compliance workflows.

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool, not affiliated with or endorsed by Naver Corporation. It collects only publicly available data and is not investment advice.