The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: FileSystemError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
corp_code large_string | corp_name large_string | stock_code large_string | corp_cls large_string | rcept_dt large_string | rcept_no large_string | report_nm large_string | flr_nm large_string | content_raw large_string | fetch_status large_string |
|---|---|---|---|---|---|---|---|---|---|
00541349 | 셀트리온제약 | 068760 | K | 20231004 | 20231004900644 | 불성실공시법인지정예고(공시불이행) | 코스닥시장본부 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
01099667 | 에스디생명공학 | 217480 | K | 20231004 | 20231004900636 | 투자판단관련주요경영사항(M&A최종인수예정자 선정 허가 결정) | 에스디생명공학 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
00149804 | 디와이에이 | 002880 | Y | 20231004 | 20231004800635 | 최대주주변경 | 디와이에이 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
00306454 | 한국정보인증 | 053300 | K | 20231004 | 20231004900630 | 타법인주식및출자증권취득결정(종속회사의주요경영사항) | 한국정보인증 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
00149804 | 디와이에이 | 002880 | Y | 20231004 | 20231004800643 | 최대주주등소유주식변동신고서(최대주주변경시) | 디와이에이 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
00604268 | 에이프로 | 262260 | K | 20231004 | 20231004900637 | [기재정정]단일판매ㆍ공급계약체결 | 에이프로 | <html>
<head>
<meta content="gdi" http-equiv="X-UA-TextLayoutMetrics">
<meta content="text/html; charset=euc-kr" http-equiv="Content-Type">
<STYLE>
.xforms * { font-family: 돋움체;}
.xforms_title * { font-size: 13pt; padding : 0 0 10 0;}
.xforms table {
font-size: 10px;
padding:0px;
borde... | ok |
01236532 | 와이즈버즈 | 273060 | K | 20231004 | 20231004000459 | 주요사항보고서(타법인주식및출자증권양수결정) | 와이즈버즈 | "<?xml version=\"1.0\" encoding=\"utf-8\"?>\r\n\r\n\r\n<DOCUMENT xmlns:xsi=\"http://www.w3.org/2001/(...TRUNCATED) | ok |
00913689 | 세경하이테크 | 148150 | K | 20231004 | 20231004900622 | 불성실공시법인지정예고(공시불이행) | 코스닥시장본부 | "<html>\r\n <head> \r\n <meta content=\"gdi\" http-equiv=\"X-UA-TextLayoutMetrics\"> \r\n <meta co(...TRUNCATED) | ok |
01405390 | 핌스 | 347770 | K | 20231004 | 20231004900596 | [기재정정]최대주주변경을수반하는주식담보제공계약체결 | 핌스 | "<html>\r\n <head> \r\n <meta content=\"gdi\" http-equiv=\"X-UA-TextLayoutMetrics\"> \r\n <meta co(...TRUNCATED) | ok |
00623184 | 오늘이엔엠 | 192410 | K | 20231004 | 20231004000442 | [첨부정정]주요사항보고서(유상증자결정) | 오늘이엔엠 | null | no_body |
DartLab Data
Structured company data from DART & EDGAR disclosure filings
DART 전자공시 + EDGAR 공시 데이터 — 한국 2,700사 / 미국 970사
What is this?
Pre-collected Parquet files from DartLab — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map.
한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다.
This dataset is the data layer behind DartLab. When you run dartlab.Company("005930"), the library automatically downloads the relevant parquet from this repo.
Dataset Structure
dart/
├── panel/ DART disclosure panel (horizontalized filings)
├── finance/ financial statements (BS, IS, CF, XBRL)
└── report/ structured disclosure APIs (28 types)
Each file is one company: {stockCode}.parquet
panel — Disclosure Panel
DART periodic reports horizontalized into a company-level panel. Narrative text and XBRL-linked tables share one artifact so the viewer, search, and comparison tools use the same source.
| Column | Description |
|---|---|
corp |
Stock code |
period |
Period key (YYYYQn) |
rceptNo |
DART filing ID |
chapter |
Top-level report chapter |
sectionLeaf |
Native section title |
sectionPath |
Full native section path |
leafType |
text / table |
blockLeaf |
Block or table title |
xbrlClass |
Native DART XBRL class |
disclosureKey |
Canonical horizontalization key |
contentRaw |
Source-preserving XML/text payload |
finance — Financial Statements
XBRL-based financial data from DART OpenAPI (fnlttSinglAcntAll).
| Column | Description |
|---|---|
bsns_year |
Business year |
reprt_code |
Report quarter code |
stock_code |
Stock code |
corp_name |
Company name |
fs_div |
CFS (consolidated) / OFS (separate) |
sj_div |
Statement type (BS/IS/CF/SCE) |
account_id |
XBRL account ID |
account_nm |
Account name (Korean) |
thstrm_amount |
Current period amount |
frmtrm_amount |
Prior period amount |
bfefrmtrm_amount |
Two periods prior amount |
report — Structured Disclosure APIs
28 DART API categories covering governance, compensation, shareholding, and more.
| Column | Description |
|---|---|
apiType |
API category (e.g., dividend, employee, executive) |
year |
Year |
quarter |
Quarter |
stockCode |
Stock code |
corpCode |
DART corp code |
| (varies) | Category-specific columns |
28 API types: dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and more.
Learn More
DartLab auto-downloads from this dataset — one stock code gives you the full company map. Start with the intro below.
- GitHub — github.com/eddmpython/dartlab
- Intro blog — DartLab 시작하기 / Getting started
- Docs — eddmpython.github.io/dartlab
- YouTube — @eddmpython
Data Source
- DART (Korea): dart.fss.or.kr — Korea's electronic disclosure system operated by the Financial Supervisory Service
- EDGAR (US): sec.gov/edgar — SEC's Electronic Data Gathering, Analysis, and Retrieval system
All data is sourced from public government disclosure systems. Financial figures are preserved as-is from the original filings — no rounding, no estimation, no interpolation.
Update Schedule
This dataset is updated automatically via GitHub Actions (daily). Recent filings (last 7 days) are checked and collected incrementally.
License
Apache 2.0 — same as DartLab.
Support
If DartLab is useful for your work, consider supporting the project:
- GitHub Issues — bug reports, feature requests
- Blog — 120+ articles on Korean disclosure analysis
- Downloads last month
- 59,448
