I am trying to write a javascript snippet to parse the data from the tables on this page: https://en.wikipedia.org/wiki/List_of_emergency_telephone_numbers
I found dbpedia which seems promising, but it seems as if their system ignores the tables: https://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FList_of_emergency_telephone_numbers&invfp=IFP_OFF&sas=SAME_AS_OFF&sid=868
Does anybody know an alternative way to parse the data.
python to the rescue, I couldn't find an easy way to do this in javascript but in python.
I found an easier to parse table here: https://www.adducation.info/general-knowledge-travel-and-transport/emergency-numbers/ But it is still an html table and I want to use it in Javascript, so JSON is easier. This code solves my problem:
import pandas as pd
data = pd.read_html("emergency_numbers.html")[0]
json_data = data.to_json(orient="records")
with open("emergency_numbers.json", "w") as f:
f.write(json_data)
result is:
[ { 'Country / Territory' : '\ud83c\udde6\ud83c\uddeb Afghanistan'
, '\u260e Emergency' : null
, '\u260e Police' : '119'
, '\u260e Ambulance' : '119, 102'
, '\u260e Fire' : '112, 119'
, 'Group' : 'Asia'
, 'Calling codes' : '+93'
, 'Local emergency numbers & info' : 'You can dial 020 112 from mobile but only in Kabul.'
}
, { 'Country / Territory' : '\ud83c\udde6\ud83c\uddf1 Albania'
, '\u260e Emergency' : null
, '\u260e Police' : '129'
, '\u260e Ambulance' : '127'
, '\u260e Fire' : '128'
, 'Group' : 'Europe'
, 'Calling codes' : '+355'
, 'Local emergency numbers & info' : null
}
, { 'Country / Territory' : '\ud83c\udde9\ud83c\uddff Algeria'
, '\u260e Emergency' : null
, '\u260e Police' : '17'
, '\u260e Ambulance' : '14'
, '\u260e Fire' : '14'
, 'Group' : 'Africa'
, 'Calling codes' : '+213'
, 'Local emergency numbers & info' : 'Dial 1548 for tourist police.'
}
, { 'Country / Territory' : '\ud83c\udde6\ud83c\uddf8 American Samoa'
, '\u260e Emergency' : '911'
, '\u260e Police' : null
, '\u260e Ambulance' : null
, '\u260e