The current results of this code can be seen in tipa.li
The main challenge is to get the geolocations for all the Tipat Halav stations. The list of stations themselves can be scraped - or, for now, I used milkdrop.json file compiled by @SharonMoravi.
The goal is to get from milkdrop.json to something that looks like stations.geojson.
geoencode.py tries to acheive this by taking the address/city info and feeding it to Nominatim - an Open Street Map project Google Maps API (turns out to be faster & more reliable than Nominatim) for translating addresses to geolocations.
Google's Geoencoder returns the lon/lat which are then entered into the geojson file, with the rest of the station data entered to the features dictionary of each point.
As it turns out, 176 out of 989 addresses in milkdrop.json aren't recognized by the geoencoder. In that case, we store them in the geojson file with error:True so we can later manually fix them later on.
YOU can help!: fork the repo. look through geojson for all error:True, find the actuall 'tipat halav' on a geomap, and enter enter the correct lat,lon coordinates.