WikiScraping/wikiScrap.py at master · subhromisra/WikiScraping · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 21 23:32:02 2019

@author: subhro
"""
class WebScrap:

    wikiUrl = 'https://en.wikipedia.org/wiki/'

    def __init__(self,country):
        from bs4 import BeautifulSoup as bs
        import requests

        self.myUrl = WebScrap.wikiUrl + country
        self.source = requests.get(self.myUrl).content
        self.soup = bs(self.source,'lxml')

    def perCapitaIncome(self):
        '''
        scraps the per capita income(nominal) of the country from wikipedia
        '''
        import numpy as np
        import re

        self.incomeRec = self.soup.find_all('tr',class_ = 'mergedbottomrow')
        nPerCapita = ''

        for i in self.incomeRec:
            if 'per capita' in str(i).lower():
                nPerCapita = i.td.text.split('$')[1].replace('[',' ').replace(',','')

        try:
            if nPerCapita > '':
                return float(re.findall('\d+',nPerCapita)[0])
            else:
                return np.NaN
        except ValueError:
            print('URL: ',self.myUrl)
            print('Error1 in Per capita Income: ',nPerCapita)
        except IndexError:
            print('URL: ',self.myUrl)
            print('Error2 in Per capita Income: ',nPerCapita)

    def population(self):
        '''
        scraps the latest available population of the country from wikipedia
        '''
        import numpy as np

        self.P = self.soup.find_all('tr',class_ = 'mergedrow')

        cont = True
        pop = ''
        for p in self.P:
            if 'population' in str(p).lower() and cont:
                pop = p.td.text.replace('[',' ').replace('(',' ')
                cont = False

        try:
            if pop > '':
                return int(pop.split()[0].replace(',',''))
                #return int(re.findall('\d+\,\d+\,\d+\,\d+',pop)[0])
            else:
                return np.NaN
        except ValueError:
            print('URL: ',self.myUrl)
            print('Error1 in Population: ',pop)
        except IndexError:
            print('URL: ',self.myUrl)
            print('Error2 in Population: ',pop)

    def giniCoefficient(self):
        '''
        scraps the Gini Coefficient of the country from wikipedia
        '''
        import numpy as np
        import re

        self.G = self.soup.find_all('tr')

        gini = ''
        cont = True
        for g in self.G:
            if 'gini coefficient' in str(g).lower() and cont:
                gini = g.td.text
                cont = False

        try:
            if gini > '':
                return float(re.findall('\d+\.\d+',gini)[0])
            else:
                return np.NaN
        except ValueError:
            print('URL: ',self.myUrl)
            print('Error1 in Gini: ',gini)
        except IndexError:
            return float(re.findall('\d+',gini)[0])

    def humanDevIndex(self):
        '''
        scraps the HDI of the country from wikipedia
        '''
        import numpy as np
        import re

        self.HDI = self.soup.find_all('tr')

        hdi = ''
        cont = True
        for h in self.HDI:
            if 'human development index' in str(h).lower() and cont:
                hdi = h.td.text
                cont = False

        try:
            if hdi > '':
                return float(re.findall('\d+\.\d+',hdi)[0])
            else:
                return np.NaN
        except ValueError:
            print('URL: ',self.myUrl)
            print('Error1 in HDI: ',hdi)
        except IndexError:
            return np.NaN