automated Pipeline for parsing profiles of politically exposed persons (PEP) into Wikidata
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import yaml
import urllib.request, urllib.error, urllib.parse
from lxml import etree
import lxml.html
import lxml.html.soupparser
class membersParliamentCrawler(object):
def __init__(self, configFile):
with open(configFile, "r") as stream:
try:
self.config = yaml.safe_load(stream)
except yaml.YAMLError as exc:
print(exc)
# input list of countries in form of ['nicaragua', 'honduras', .. , 'mexico']
def downloadMemberListPagesOfCountries(self, listOfCountries):
# download only html pages of the countries specified in input
for country in listOfCountries:
for key in self.config:
if key in listOfCountries:
try:
memberList = self.config.get(key).get('memberList')
except:
print("There is a problem with the entry memberList in the config.yaml")
try:
memberListLink = memberList.get('link')
except:
print("No memberListLink defined in config.yaml")
print(memberListLink)
# download the html page of the List of Members
response = urllib.request.urlopen(memberListLink)
webContent = response.read().decode('UTF-8')
# save interim results to files
f = open('pages/' + key +'MemberList.html', 'w+')
f.write(webContent)
f.close
def parseMemberData2dictionary(self, listOfCountries):
for country in listOfCountries:
try:
#use soupparser to handle broken html
tree = lxml.html.soupparser.parse('pages/' + country + 'MemberList.html')
#for e in tree.iter():
# print(e.tag)
# for e in tree.xpath('//html//body//form//table//tr//td//table//tr'):
#
# #print(etree.tostring(e).decode())
dictionaryMemberList = {}
for n in range(len(tree.xpath('//html//body//form//table//tr//td//table//tr'))):
name = tree.xpath('//html//body//form//table//tr//td//table//tr[' + str(n) + ']//td//a//text()')
link = tree.xpath('//html//body//form//table//tr//td//table//tr[' + str(n) + ']//td//a//@href')
if len(name) > 0:
dictionaryMemberList[name[0]] = {}
dictionaryMemberList[name[0]]['name'] = name[0]
dictionaryMemberList[name[0]]['link'] = link[0]
except Exception as e:
print('parsing the html did not work. Possibly you first have to downloadMemberListPagesOfCountries(). The original error message is:', e)
f = open('output/' + country +'MemberList.txt', 'w+')
f.write(str(dictionaryMemberList))
f.close