dataportalen

Python access to dataportal.se that gives you plain dicts, not RDF.

Sweden's open-data registry describes its 23,500 datasets in RDF, which means every value arrives as a web address: a dataset about roads is filed under http://publications.europa.eu/resource/authority/data-theme/TRAN rather than under "transport". Working out that it means "transport" is, per the registry's own documentation, your problem.

This package makes it not your problem. You search with words and you get dictionaries back.

Install

pip install dataportalen

Distribution and import name are both dataportalen. The unrelated dataportal package on PyPI is a Korean public-data client — not this.

Search

from dataportalen import Dataportal

with Dataportal(language="sv") as dp:      # "en", or "all" for every language
    page = dp.datasets(theme="transport", publisher="trafikverket",
                       updated_after="2024-01-01")
    print(page.total)
    for dataset in page:
        print(dataset.to_dict())

{
  "uri": "https://example.org/data/roads",
  "title": "Vägtrafiknät",
  "themes": ["transport"],
  "license": "cc_by_4_0",
  "access_rights": "public",
  "accrual_periodicity": "annual",
  "publisher": {"name": "Trafikverket", "type": "national_authority"},
  "distributions": [
    {"download_url": ["https://...csv"], "format": "csv"}
  ]
}

The whole catalogue in one file

from dataportalen import download_catalog

download_catalog("catalog.jsonl")
# 23,580 datasets · 35,151 distributions · 58 MiB · ~6 minutes

One dataset per line, distributions and publisher already nested, with a live progress line while it runs.

Documentation

• docs/guide.md — how to use it: searching, what comes back, the catalogue download, settings, async.
• docs/internals.md — how it is built: where the short values come from, module layout, development, releasing.

Licence

Code is MIT. The bundled label table is third-party data redistributed under CC BY 4.0 and EU Decision 2011/833/EU; both notices are in LICENSE, with the details in docs/internals.md.

Metadata you retrieve is published by its respective publishers, each under its own licence — check the license field on the dataset.