Example using the open data provided by Osaka city

osakadatatest.py

# Setup environment using 'source setup.sh'
# then run with 'python testosaka.py'
# (tested with blank c9.io workspace)

from SPARQLWrapper import SPARQLWrapper, JSON

sparql = SPARQLWrapper("https://data.city.osaka.lg.jp/sparql")
sparql.setQuery("""
PREFIX ic: <http://imi.ipa.go.jp/ns/core/rdf#>
PREFIX dsv: <http://datashelf.jp/ns/dsv#>

select distinct ?s ?label ?address ?lat ?long where {
  ?s a ic:施設型 ;
  rdfs:label ?label ;
  ic:住所 / ic:表記 ?address ;
  ic:種別 "防災関連施設 - 災害時用へリポート" ;
  ic:地理座標 / ic:緯度 ?lat ;
  ic:地理座標 / ic:緯度 ?long .
} LIMIT 100
""")
sparql.setReturnFormat(JSON)
results = sparql.query().convert()

for result in results["results"]["bindings"]:
    print(result["label"]["value"])

setup.sh

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda
echo 'export PATH="$HOME/miniconda/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

conda create -y -n py3 python=3
source activate py3
conda install -y Flask
pip install sparqlwrapper