ANpy is a python library for easily scraping data from http://assemblee-nationale.fr website
Forget the ugly html, just get data:
>>> from anpy.dossier import Dossier
>>> url = 'http://www.assemblee-nationale.fr/14/dossiers/republique_numerique.asp'
>>> dossier = Dossier.download_and_build(url)
>>> dossier.title
'Economie : pour une République numérique'
>>> dossier.legislature
14
>>> r.procedure
'PPL'
>>> r.senat_url
'http://www.senat.fr/dossier-legislatif/pjl15-325.html'
>>> r.steps
[{'type': 'AN_PREMIERE_LECTURE', 'acts': [...]}]
ANpy currently provides the following features:
ANpy supports Python 3.5.
pip install anpy
Documentation is available at http://anpy.readthedocs.io/en/latest
A script anpy-cli is installed with the package, it provides the following commands :
anpy-cli show_amendement http://www.assemblee-nationale.fr/14/amendements/1847/CION-DVP/CD266.asp
anpy-cli show_amendements_summary --start-date 2014-06-01
anpy-cli show_amendements_order 33299 --id-examen 4073
anpy-cli show_question http://questions.assemblee-nationale.fr/q14/14-73499QE.htm
Format is like senapy and the Open Data of lafabriquedelaloi.fr
There's more work done on this parser to make it work across many cases
anpy-cli parse http://www.assemblee-nationale.fr/14/dossiers/sante.asp
[
{
"assemblee_id": "14-sante",
"assemblee_legislature": 14,
"assemblee_slug": "sante",
"beginning": "2014-10-15",
"long_title": "Questions sociales et santé : modernisation de notre système de santé",
"steps": [
{
"date": "2014-10-15",
"institution": "assemblee",
"source_url": "http://www.assemblee-nationale.fr/14/projets/pl2302.asp",
"stage": "1ère lecture",
"step": "depot"
},
{
"date": "2015-03-20",
"institution": "assemblee",
"source_url": "http://www.assemblee-nationale.fr/14/ta-commission/r2673-a0.asp",
"stage": "1ère lecture",
"step": "commission"
},
{
"date": "2015-04-14",
"institution": "assemblee",
"source_url": "http://www.assemblee-nationale.fr/14/ta/ta0505.asp",
"stage": "1ère lecture",
"step": "hemicycle"
},
...
Features:
You can also parse many of them by giving a list of urls:
anpy-cli doslegs_urls | anpy-cli parse_many an_doslegs/
This parser is still a work-in-progress
anpy-cli show_dossier http://www.assemblee-nationale.fr/14/dossiers/sante.asp
{
"legislature": "14",
"procedure": "PJL",
"senat_url": "http://www.senat.fr/dossier-legislatif/pjl14-406.html",
"steps": [
{
"acts": [
{
"date": "2014-10-15T00:00:00",
"type": "DEPOT_INITIATIVE",
"url": "http://www.assemblee-nationale.fr/14/projets/pl2302.asp"
},
{
"type": "ETUDE_IMPACT",
"url": "http://www.assemblee-nationale.fr/14/projets/pl2302-ei.asp"
},
{
"date": "2015-03-16T00:00:00",
"type": "PROCEDURE_ACCELEREE"
},
{
"date": "2015-03-20T00:00:00",
"type": "DEPOT_RAPPORT",
"url": "http://www.assemblee-nationale.fr/14/rapports/r2673.asp"
},
{
"date": "2015-03-24T00:00:00",
"type": "TEXTE_COMMISSION",
"url": "http://www.assemblee-nationale.fr/14/ta-commission/r2673-a0.asp"
},
{
"date": "2015-02-11T00:00:00",
"type": "DEPOT_RAPPORT",
"url": "http://www.assemblee-nationale.fr/14/rap-info/i2581.asp"
},
{
...
anpy-cli doslegs_urls
anpy-cli show_scrutin http://www2.assemblee-nationale.fr/scrutins/detail/(legislature)/14/(num)/1212
Format is one JSON per line
anpy-cli scrutins
Format is one JSON per line
anpy-cli videos
pip install -U -r test_requirements.txt
pip install -e .
pycodestyle --exclude=tests,docs .
flake8 --exclude=tests,docs .
py.test --cov=anpy