Velo'v scraping project

This projects aims to scrape and save realtime data from JC Decaux Velo'v service (Lyon’s self-service cycle scheme) for analysis purpose. Data source: Stations Vélo'v de la Métropole de Lyon

The project has been built in oder to be deployed on a Raspberry PI 3 B+ (armv7l) with docker.

Requirements

• Python>=3.7
• pyyaml==5.4
• pandas==1.2.2
• requests==2.22.0

or Docker

Run the container

To run the container in background with docker volumes for pesistent data:

docker build -t velov .
docker run -d -v $(pwd)/logs:/usr/app/logs -v $(pwd)/data:/usr/app/data velov    

Settings

Currently the only setting available is the SLEEP_TIME parameter which is the time between each iteration of the scraping process.