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KRS scrape

every entry in Poland's National Court Register (Krajowy Rejestr Sądowy), about 1.2 million companies and associations, parsed from the full extract PDFs and updated weekly.

from datasets import load_dataset

krs = load_dataset("tiagozip/krs", split="train")

format

one parquet file, data/krs.parquet, one row per KRS number.

column type notes
krs string 10 digit KRS number
register string entrepreneurs or associations
deleted bool removed from the register
as_of timestamp when the extract was issued
name string
short_name string
legal_form string e.g. limitedLiabilityCompany
regon string statistical id
nip string tax id
voivodeship string seat
county string seat
municipality string seat
city string seat
street string address
street_number string address
postal_code string address
email string
website string
registered_on date date of the first registry entry
share_capital decimal(20,2)
share_capital_currency string almost always PLN
data json the full parsed extract

data has everything else: every registry entry, boards and representatives, shareholders, partners, branches, filings, bankruptcy, liquidation, mergers and so on. sections are present only when the extract has them.

what this is not

  • not the official register. this is parsed from PDFs, and the parser can get sections wrong. check the source at ekrs.ms.gov.pl before relying on a value.

license

by downloading the data, you agree to the license terms. tl;dr:

  • no republishing, sharing, or selling the data (linking here is fine)
  • no using it, or publishing anything made with it, without clear and obvious credit
  • no machine learning, AI training, or publishing embeddings and similar representations
  • research and publication are allowed, with credit and approval
  • you must honour opt-outs and deletions

disclaimers

access can be revoked at any time and all data is provided as-is. this dataset contains personal information about real people, a lot of whom are not public figures. this dataset is not a reflection of the views of the author or the institutions they are affiliated with. please be respectful.

citation

@misc{krs,
  title  = {krs: a parsed copy of Poland's National Court Register},
  author = {tiagozip},
  year   = {2026},
  url    = {https://huggingface.co/datasets/tiagozip/krs}
}
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