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bulletin-fetcher: A Python library for programmatic access to EU official bulletins

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 May 2026Publisher:Zenodo
Authors: González-Suárez, Diego;
Code repository: https://github.com/diegoglezsu/bulletin-fetcher/tree/v0.5.2

doi: 10.5281/zenodo.20306808 , 10.5281/zenodo.20442264 , 10.5281/zenodo.20199194 , 10.5281/zenodo.20255575 , 10.5281/zenodo.20441160 , 10.5281/zenodo.20474345 , 10.5281/zenodo.20156192 , 10.5281/zenodo.20474089 , 10.5281/zenodo.20199177

bulletin-fetcher: A Python library for programmatic access to EU official bulletins

Abstract

EU Official Journal acts can be queried through public semantic web infrastructure, but using the underlying SPARQL endpoint requires knowledge of RDF vocabularies, query structure and EUR-Lex metadata conventions and ontologies. The bulletin-fetcher library abstracts this complexity behind a simple Python interface. Users can retrieve Official Journal acts by publication date, date ranges, act type, publishing institution and textual content, while receiving Python objects, JSON-compatible dictionaries, XML, CSV outputs or pandas DataFrames suitable for further analysis.

If you use this software, please cite it using the metadata below.

Keywords

Data Analysis, Cellar, Official Gazette, European Legislation, Policy Research, Legal Analytics, Legal, SPARQL, EUR-Lex, Semantic Web, Python

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average