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URL: https://apify.com/lazymac/korean-company-scraper

⇱ Korean Company & Business Data Scraper Β· Apify


πŸ‘ Korean Company & Business Data Scraper avatar

Korean Company & Business Data Scraper

Pricing

Pay per event

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Korean Company & Business Data Scraper

Lookup any Korean company by name, ticker, or μ‚¬μ—…μžλ“±λ‘λ²ˆν˜Έ β†’ English name, address, industry, execs, KOSDAQ/KOSPI ticker, filings. For global investors not reading Korean. Use: M&A, due diligence, K-startup sourcing, equity research. Zero competitor.

Pricing

Pay per event

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Developer

πŸ‘ 2x lazymac

2x lazymac

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2 months ago

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πŸ“° Featured launch (2026-04-26): Korean Business Data API on dev.to

Extract structured Korean company data in English JSON β€” no Korean language skills required.

Pulls firmographics, industry classification, stock codes, and public financials from KRX (Korea Exchange), DART (Financial Supervisory Service), and Naver Finance β€” three authoritative Korean public data sources.

Perfect for:

  • Market entry research: Understand Korean competitors and partners before entering the market
  • B2B lead generation: Build targeted lists of Korean companies by industry
  • Due diligence: Verify company existence, founding date, and public financials
  • Investment research: Screen Korean publicly-listed companies

What You Get

Each company record returns:

{
"query":"Samsung Electronics",
"name_en":"Samsung Electronics Co., Ltd.",
"name_ko":"μ‚Όμ„±μ „μž",
"stock_code":"005930",
"industry":"Manufacturing",
"industry_code":"C",
"established":"1969-01-13",
"headquarters":"Suwon, Gyeonggi-do, South Korea",
"employees":null,
"website":null,
"revenue_krw":null,
"operating_profit_krw":null,
"dart_corp_code":"00126380",
"source":["KRX","DART","NAVER_FINANCE"],
"scraped_at":"2026-04-22T10:30:00.000Z"
}

Input

FieldTypeDefaultDescription
companyNamesstring[]["Samsung Electronics"]List of company names (English or Korean)
includeFinancialsbooleantrueAttempt to fetch revenue/profit from DART
outputLanguagestring"en""en" or "ko"
maxConcurrencyinteger3Parallel requests (1–10)

Example Inputs

Basic lookup (English names):

{
"companyNames":["Samsung Electronics","Kakao","NAVER","Hyundai Motor","LG Electronics"],
"includeFinancials":true,
"outputLanguage":"en"
}

Korean names:

{
"companyNames":["μ‚Όμ„±μ „μž","카카였","넀이버","ν˜„λŒ€μžλ™μ°¨"],
"outputLanguage":"en"
}

Bulk industry research:

{
"companyNames":["Krafton","NCSoft","Netmarble","Pearl Abyss","Com2uS"],
"includeFinancials":true,
"maxConcurrency":5
}

Data Sources

SourceDataNotes
KRX (Korea Exchange)Company name, stock code, industry, headquarters, founded dateOfficial exchange listing data
DART (FSS)Corporate registration code, company typeOfficial Korean SEC equivalent
Naver FinanceStock code cross-referenceKorea's largest financial portal

Pricing

This actor uses Pay Per Event (PPE) pricing:

  • $0.10 per company looked up
  • Charged only for successfully processed records
  • No charge for errors or empty results

Typical run: 10 companies = $1.00 | 100 companies = $10.00


FAQ

Q: Does this require any API keys? A: No. All data is pulled from public Korean government and exchange sources.

Q: Can I look up private (non-listed) Korean companies? A: Yes, via DART which includes all companies that file with the Korean FSS β€” listed and unlisted.

Q: How accurate is the data? A: Data is sourced directly from official Korean government systems (KRX, DART). Updated in near-real-time by those systems.

Q: What if a company isn't found? A: The record is still returned with null fields and no charge is applied.

Q: Can I integrate this with Zapier or Make? A: Yes, use the Apify API to trigger runs and retrieve results via webhooks.

Q: How do I use the results in Python?

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("lazymac/korean-company-scraper").call(run_input={
"companyNames":["Samsung Electronics","Kakao"],
"includeFinancials":True
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Q: How do I use this in Node.js?

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_APIFY_TOKEN'});
const run =await client.actor('lazymac/korean-company-scraper').call({
companyNames:['NAVER','Kakao','Krafton'],
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Use Cases

Market Entry Research

Building a list of Korean SaaS companies before entering the B2B market? Scrape 50+ Korean tech companies in minutes with clean English output.

Korean Supplier Verification

Verify Korean suppliers before entering contracts β€” check founding date, industry classification, and public filing records.

Investment Screening

Screen Korean KOSPI/KOSDAQ listed companies by industry to build an initial investment watchlist.

Academic Research

Research Korean corporate structure, industry distribution, and company demographics for academic papers.


About

Built by lazymac β€” the developer of 24 production APIs on Cloudflare Workers serving 38,000+ requests/week.

Questions? Open an issue or contact via the Apify platform.

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