pyeurlex 0.1.8

This is a python module to create SPARQL queries for the EU Cellar repository, run them and subsequently download their data. Notably, it directly supports all resource types.

pyeurlex package

This is a python module to create SPARQL queries for the EU Cellar repository, run them and subsequently download their data. Notably, it directly supports all resource types.

Usage

Import and instantiate the moduel

from eurlex import Eurlex
eur = Eurlex()

Then you can construct you query. (or alternatively you can use your own or one constructed via the wizard https://op.europa.eu/en/advanced-sparql-query-editor

q = eur.make_query(resource_type = "caselaw", order = True, limit = 10)
print(q)

Finally, you can run this query.

d = eur.query_eurlex(q)  # where q is a query generated in a previous step or a string defined by you
print(d)

This will return a pandas data frame of the results. Its columns depend on the the fields that you included. At the moment, not all fields are named properly in the dataframe and you will have to set their name manually if desired.

Once you pick a single url or identifier from the df, you can download a notice or data based on that indentifier. To download the notices as xml, use download_xml() as below.

x = eur.download_xml("32014R0001", notice="tree") # without the file parameter to specify the filename, the celex number will be used.
print(x)

To get data associated with an identifier, use get_data(). This will return the data as a string,

d = eur.get_data("http://publications.europa.eu/resource/celex/32016R0679", type="text")
print(d)

Why another package/module?

Inspired by the R based eurlex package, which helped a lot with the SPARQL construction and understanding and general inspiration. There is also https://github.com/seljaseppala/eu_corpus_compiler but that also only does regulatory/legislative documents. There is https://pypi.org/project/eurlex/, but it for example does not have a way to generate SPARQL queries and is also very focused on legislation. In addition, while internally it uses SPARQL and cellar as well, its documentation is focused on accessing and processing documents via CELEX number, which is not really helpful to me. Thus, this package was born.