Open data soft scrapper

This python package gives some basic tools to easily collect information on open data soft portals (SaaS):

• Number of federated or non-federated data
• Themes
• Data producers

Installation

You'll need these librairies.

• Pandas:

pip install pandas

• Requests

pip install requests

• Seaborn & Matplotlib

pip install matplotlib
pip install seaborn

• tqdm (optional)

pip install tqdm

Scrappe your own portal

from ScrappingPackage.opendatasoftscrapper import Opendatasoftscrapper
url = "https://data.regionreunion.com"
ods_scrapper = Opendatasoftscrapper(lien =  lien)
results = ods_scrapper.get_all_results()

The method get_all_results() returns a dict that holds the extracted information.

You can use bar_plot_fed() from Opendatasoftvisualisations class to make plots out of these results and save theme.

from ScrappingPackage.opendatasoftvisualisations import Opendatasoftvisualisations
ods_vis = Opendatasoftvisualisations(results)
ods_vis.bar_plot_fed(save = True, title = "bar plot 1" )
ods_vis.bar_plot_themes(save = True,title = "bar plot 2")

Quick test

If you want to test the program immediately, you can run : python3 main.py

Output