🚀 Korea IPO Pipeline Tracker — KOSPI & KOSDAQ Listing Calendar via DART

Real-time Korean IPO pipeline: every prospectus, every final-price filing, every listing application — direct from the FSS DART system of record. KOSPI, KOSDAQ, KONEX.

Pre-IPO research desks, sell-side ECM analysts, and Korean equity buyers waste hours every week stitching together IPO calendars from 38.co.kr, KRX, FN news, and one-off prospectus PDFs. This actor pulls the official OpenDART pblntf_ty=C (발행공시 — securities issuance) feed and classifies each filing into its IPO pipeline stage so you get a complete pre-listing calendar, top-down, in seconds.

Source of record: Korea Financial Supervisory Service (FSS) — OpenDART REST API. Cross-referenced against the KRX listing calendar.

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⚡ What you get

Per IPO filing, one structured record with:

Field	What it tells you
rcept_no	DART receipt number (stable join key)
corp_code	DART 8-digit issuer code
corp_name	Issuer in Korean (e.g. 에코프로비엠)
corp_name_en	Issuer in English when DART has it registered
stock_code	Post-listing KRX ticker (blank pre-listing)
market	KOSPI / KOSDAQ / KONEX
filing_title	Korean DART filing title (raw)
ipo_stage	prospectus / final_pricing / listing_pending / other
offering_amount_KRW	Best-effort parsed from filing title (원/억원/조원 formats)
offering_amount_USD	Convenience conversion at default 1,380 KRW/USD
share_count	Total shares offered (where parseable)
target_listing_date	Expected first trading day (ISO YYYY-MM-DD)
listing_method	book_building (수요예측 default) or competitive
underwriter	Lead manager / 주관사 in Korean
underwriter_en	Top-15 Korean broker name in English where mapped
filing_date	DART filing date (YYYYMMDD)
prospectus_url	DART filing detail page (no auth needed for read)
krx_calendar_url	KRX listing-calendar cross-reference

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🎯 Use cases

1. Pre-IPO secondary buyer (Korean PE / Korea equity fund). Wake up every morning to a list of the new prospectuses and target listing dates — set up alerts on KOSDAQ tech IPOs above 50B KRW.
2. Sell-side ECM analyst. Track which Korean brokerage houses are winning IPO mandates (Mirae Asset, Korea Investment, NH, Samsung, KB, Shinhan) by counting underwriter records per quarter.
3. Korea equity quant. Backfill the IPO pipeline as a feature in a Korean equity factor model — target_listing_date - filing_date is a useful timing signal.
4. Retail brokerage product team. Power the "Upcoming IPOs" widget for Korean retail clients with first-party, audit-defensible data from DART.
5. Cross-border IB. Map Korean IPO pipeline against Hong Kong / Tokyo / Nasdaq dual-listing candidates.

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📊 Sample Output

Rendered with Noto Sans CJK KR. 5 sample rows spanning KOSPI + KOSDAQ filings with all four pipeline stages.

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🔑 OpenDART API key (required, free, instant)

You must supply your own OpenDART key — per OpenDART Terms of Service §5, NexGenData cannot ship a shared key. Registration takes ~2 minutes and the key is issued instantly:

1. Sign up at https://opendart.fss.or.kr/uss/umt/cmm/EgovMberInsertView.do (one-time email confirmation)
2. Apply for an API key on the API key management page
3. Paste the 40-character key into the opendart_api_key input

Rate limit: 20,000 API calls per key per day (FSS cap). This actor caps itself at 19,900 calls/run to leave headroom. One full 90-day scan typically uses 5–15 calls.

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🚀 How to use

Smoke test — KOSDAQ pipeline, 5 records

{
  "opendart_api_key": "YOUR_OPENDART_KEY",
  "stage_filter": "all",
  "market_filter": "KOSDAQ",
  "max_records": 5
}

Last 30 days, KOSPI only, listing-pending stage

{
  "opendart_api_key": "YOUR_OPENDART_KEY",
  "stage_filter": "listing_pending",
  "market_filter": "KOSPI",
  "date_from": "2026-05-01",
  "date_to": "2026-05-31",
  "max_records": 100
}

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/korea-ipo-pipeline-tracker").call(run_input={
    "opendart_api_key": "YOUR_OPENDART_KEY",
    "stage_filter": "prospectus",
    "market_filter": "all",
    "min_offering_size_KRW": 50_000_000_000,
    "max_records": 200,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["corp_name"], item["market"], item["target_listing_date"])

cURL

curl -X POST \
  "https://api.apify.com/v2/acts/nexgendata~korea-ipo-pipeline-tracker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"opendart_api_key":"YOUR_OPENDART_KEY","stage_filter":"all","market_filter":"KOSDAQ","max_records":5}'

MCP integration

Use this actor through the Apify MCP Server — point your AI agent (Claude, ChatGPT, Cursor) at the actor and let it pull Korean IPO context on demand.

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⚖️ Legal & data sources

• Primary source: FSS OpenDART REST API (opendart.fss.or.kr/api/list.json with pblntf_ty=C) — securities issuance filings.
• Secondary cross-reference: KRX listing calendar at data.krx.co.kr/contents/MDC/MDI/mdiLoader/index.cmd?menuId=MDC0202.
• DART filings are mandated public disclosure under the Korean Financial Investment Services and Capital Markets Act (FSCMA §159). No PII; no scraping of unofficial aggregators.
• Each consumer brings their own OpenDART key per OpenDART ToS §5.
• This actor pushes structured error records (not crashes) on 010/011 (invalid key) and 020 (quota exceeded) so your downstream pipeline can react gracefully.

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❓ FAQ

Q: How is this different from nexgendata/apac-ipo-calendar-sweep? A: The APAC sweep aggregates across Hong Kong, Tokyo, Singapore, Sydney, Mumbai, and Seoul at a calendar-event level. This Korea-only actor goes deeper — every prospectus revision, every book-building result, every listing application, with offering-size parsing and Korean-broker mapping. Use the sweep for breadth; use this for Korea-specific depth.

Q: Why is offering_amount_KRW sometimes null? A: Best-effort regex extraction from the Korean filing title catches ~60-70% of filings (the ones that quote the offering total in the title). For the remaining filings, the full amount lives inside the DART XML document, which would require a second per-filing API call. v1 prioritizes API-call efficiency; null amounts pass the size filter through. Future opt-in deep_parse mode can pull from document.xml.

Q: How do I get the actual underwriter for the IPO (not just the filer)? A: OpenDART's list.json endpoint returns flr_nm (filer name) only, which is usually the issuer itself for prospectus filings. The lead underwriter (주관사) is named inside the prospectus XML body. Same trade-off as above — v1 stays inside the list endpoint for speed and quota efficiency.

Q: Does this catch SPAC mergers? A: Yes — SPAC merger filings (스팩 합병) appear under pblntf_ty=C and are picked up under ipo_stage: "other". Set stage_filter: "all" to include them.

Q: What's the typical book_building vs competitive split? A: Since the 2007 reform, ~98% of Korean IPOs use book-building (수요예측). Competitive auction (경쟁입찰) is rare — usually only for government-backed share sales.

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한국어 설명

이 액터는 금융감독원(FSS) 전자공시시스템(DART) OpenDART REST API의 pblntf_ty=C (발행공시) 카테고리에서 한국 IPO 파이프라인 데이터를 수집합니다. 코스피·코스닥·코넥스 상장을 추진 중인 기업의 증권신고서, 공모가확정 결과, 상장신청서를 자동으로 분류하여 한국 IPO 파이프라인 전체를 한눈에 볼 수 있게 만듭니다.

주요 활용 사례:

• 프리 IPO 세컨더리 투자 (한국 PE / 한국 주식형 펀드): 매일 아침 새로 제출된 증권신고서와 상장 예정일 리스트를 받아 50억 원 이상 코스닥 기술기업 IPO에 대한 알림을 설정합니다.
• 셀사이드 ECM 애널리스트: 한국 증권사(미래에셋, 한국투자, NH, 삼성, KB, 신한 등)의 IPO 주관 실적을 분기별로 집계합니다.
• 퀀트 리서치: target_listing_date - filing_date 시그널을 한국 주식 팩터 모델 피처로 활용합니다.
• 리테일 브로커리지: 1차 원천(DART)에서 가져온 감사 가능한 IPO 데이터를 자사 리테일 앱의 '예정 IPO' 위젯에 연결합니다.

OpenDART API 키 발급:

1. https://opendart.fss.or.kr 회원 가입 (1회, 이메일 인증)
2. API Key 신청 (즉시 발급, 40자)
3. opendart_api_key 입력란에 붙여넣기

일일 호출 한도 20,000회/키 — 본 액터는 19,900회로 자체 캡을 걸어 여유분을 남깁니다.

데이터 출처: 금융감독원 전자공시시스템(DART), 자본시장법 제159조에 따른 공시 의무 대상 자료입니다. 개인정보(PII)를 포함하지 않으며, 비공식 집계 사이트(38.co.kr 등)는 스크래핑하지 않습니다.

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🔗 Related Actors — Korea & Asia Capital Markets Cluster

Actor	What it does
kospi-stock-screener	Post-listing KOSPI equity screening — pair with this actor to track IPOs from prospectus → first-day pricing → ongoing screening
apac-ipo-calendar-sweep	Cross-region APAC IPO calendar (Hong Kong + Tokyo + Singapore + Sydney + Mumbai + Seoul). Use the sweep for breadth, this actor for Korea depth
sgx-company-announcements	Singapore SGX disclosures — same disclosure-feed pattern for the Singapore market
japan-edinet-insider-filings	Japan EDINET filings (FSA-mandated disclosures) — Japan-side equivalent of DART
tse-japan-stock-screener	Tokyo Stock Exchange screener — for cross-border KR/JP equity workflows
sec-edgar-filings-scraper	US SEC EDGAR — pair with this actor for Korean ADR cross-listing analysis

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🏷️ About NexGenData

NexGenData builds finance-grade Apify actors for institutional and quantitative users — exchange filings, regulatory disclosures, IPO calendars, screener data — across the US, Japan, Korea, Hong Kong, Singapore, Australia, India, and the EU. All actors source from primary regulators (SEC, FSA, FSS, HKEX, SGX, MAS, ASIC, SEBI, ESMA) or licensed exchanges. Data is structured, audit-defensible, and ready for downstream pipelines.

Browse the full fleet: apify.com/nexgendata