# sharebook-kr/pykrx

KRX 주식 정보 스크래핑

Repository: https://github.com/sharebook-kr/pykrx
Canonical: https://ross.abutalabs.com/products/pykrx
Language: Python
License Family: other
Last push: 2026-05-04T09:50:27+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 58, longevity 100
- inputs: {"age_days": 2821, "days_push": 121, "days_rel": 121, "gap_med": 99, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1084, forks 307 (observed 2026-08-28T04:03:31.411797+00:00)

## What it is
PyKrx is a Python library that scrapes stock and bond market data from the Korea Exchange (KRX) and Naver. It provides APIs for querying tickers, prices, and financial information for Korean listed securities.

## Use cases
- download korean stock price data in python
- get kospi kosdaq ticker lists and ohlcv
- scrape krx bond market data
- build a stock analysis backtest with korean market data
- fetch financial fundamentals for krx listed companies

## When to choose
- you need Korean exchange (KRX/Naver) market data in Python
- you want a simple pip-installable API for stock and bond queries
- you are prototyping quant or analytics workflows on Korean equities

## When to avoid
- you need guaranteed official or licensed market data for commercial use
- you need high-frequency or bulk API access without rate limits
- you need data for non-Korean markets

## Facets
- artifact type: library
- maturity: active
- function: web-scraping, data-science, http-client
- domain: fintech, data-science, analytics, crawlers
- platform: python, cross-platform
- tags: korean-stock-market, krx, finance, stock-data, bond-data, market-data

## Member repositories
- sharebook-kr/pykrx (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.411797+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:50:09.767785+00:00, confidence not recorded.
  - readme: https://github.com/sharebook-kr/pykrx (fetched 2026-08-28T04:03:31.411797+00:00, sha e59daf8eccc6)
  - registry_pypi: https://pypi.org/pypi/pykrx/json (fetched 2026-08-29T12:53:10.704891+00:00, sha 8c87a4aea8b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.