Korean Company & Business Data Scraper
Pricing
Pay per usage
Korean Company & Business Data Scraper
Lookup any Korean company by name, ticker, or μ¬μ μλ±λ‘λ²νΈ 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 usage
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2x lazymac
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π° 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": "μΌμ±μ μ","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
| Field | Type | Default | Description |
|---|---|---|---|
companyNames | string[] | ["Samsung Electronics"] | List of company names (English or Korean) |
includeFinancials | boolean | true | Attempt to fetch revenue/profit from DART |
outputLanguage | string | "en" | "en" or "ko" |
maxConcurrency | integer | 3 | Parallel requests (1β10) |
Example Inputs
Basic lookup (English names):
{"companyNames": ["Samsung Electronics", "Kakao", "NAVER", "Hyundai Motor", "LG Electronics"],"includeFinancials": true,"outputLanguage": "en"}
Korean names:
{"companyNames": ["μΌμ±μ μ", "μΉ΄μΉ΄μ€", "λ€μ΄λ²", "νλμλμ°¨"],"outputLanguage": "en"}
Bulk industry research:
{"companyNames": ["Krafton", "NCSoft", "Netmarble", "Pearl Abyss", "Com2uS"],"includeFinancials": true,"maxConcurrency": 5}
Data Sources
| Source | Data | Notes |
|---|---|---|
| KRX (Korea Exchange) | Company name, stock code, industry, headquarters, founded date | Official exchange listing data |
| DART (FSS) | Corporate registration code, company type | Official Korean SEC equivalent |
| Naver Finance | Stock code cross-reference | Korea'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 ApifyClientclient = 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 = new ApifyClient({ 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.