scraper-place
est un scraper pour le site internet gouvernemental https://www.marches-publics.gouv.fr/ (PLACE pour PLateforme d'AChat de l'Etat). scraper-place
n'a rien à voir avec Jean-Vincent Placé.
PLACE permet d'accéder aux Dossiers de Consultation des Entreprises (DCE) pour les consultations en cours. Malheureusement, PLACE ne permet pas un accès pratique aux ressources publiées pour tous les usages. D'une part, les dossiers des publications passées sont retirées. D'autre part, le fonctionnement du site rend malaisée le requetage automatisé des DCE.
scaper-place
va récupérer tous les DCE (ainsi que les métadonnées associées) pour les répliquer localement et les indexer.
Le droit d'accès applicable aux DCE est résumé dans une fiche de la CADA.
PLACE uses the PHP framework PRADO. It stores the current navigation state in the PRADO_PAGESTATE
, an encoded variable of about 100kB. This variable is required (along with PRADO_POSTBACK_TARGET
and optional parameters) to perform a request. There is no way to get a list of all the available DCE. The search engine is clearly not an option. The most convenient way I found is to request the paginated list of all the current consultations, set the pagination number to 20 (the maximum) and request all the pages in order. Naturally, given the id of a consultation, three successive requests are needed to access the document.
Curiously, a small fraction of the DCE appear in several pages, and this is not related to the addition of documents during the course of the parsing. I guess such a feature would be very difficult to implement purposefully.
- Install
postgresql
>=9.0 (may work on prior versions). Make sure it uses UTF-8 encoding. - If you plan to replicate the files on AWS Glacier, create a vault and create a IAM user with upload permission.
- If you plan to index the data with ElasticSearch, install it. Make sure a tika server 1.17 (older versions may work) is reachable with the options
-enableUnsecureFeatures
and-enableFileUrl
. - Create a python virtual env with python>=3.5 (may work on previous versions). I suggest using
pew
.
- Clone this repository.
- In the repository directory:
pip install --editable .
- Copy
config.ini.example
toconfig.ini
and set your configuration. - Create the directory you configured in
config.ini
and make sure it is writable by the process that will runscraper-place
. - Create a new database user with all privileges on a new table, with access by password (
md5
inpg_hda.conf
). - Run
create_tables.ipynb
to prepare the database and ElasticSearch.
from scraper_place import fetch, glacier, content_indexing
fetch.fetch_new_dce()
glacier.save()
content_indexing.index()
fetch.fetch_new_dce()
parses https://www.marches-publics.gouv.fr/ and fetches new DCEs.glacier.save()
sends a copy to AWS Glaciercontent_indexing.index()
extracts content with Apache Tika and feeds it to ElasticSearch