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scraper.py
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scraper.py
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from bs4 import BeautifulSoup as Soup
import json, requests, re, datetime, sqlite3
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
DB_FILE = 'data.sqlite'
rex = re.compile(r'\s+')
numb = re.compile(r'[^0-9]')
rdate = re.compile(r'[^a-z0-9]')
const = re.compile(r'[^a-z0-9\-]')
conn = sqlite3.connect(DB_FILE)
c = conn.cursor()
c.execute('drop table IF EXISTS data')
c.execute('create table data (birth_date,"+children","+constituency",contact_details,"+education","+education_details",email,image,images,link,"+marital_status",name,memberOf,other_names,"+place_of_birth","+profession",source,"+spouse")')
def words2date(bdate):
bdate = clean(rdate.sub(' ',bdate.lower()))
if len(bdate)<2:
return None
bdate = bdate.replace('febuary','february')
month = ['january','february','march','april','may','june','july','august','september','october','november','december']
bdate = bdate.split(' ')
date = datetime.date(int(bdate[2]),int(month.index(bdate[1])+1),int(numb.sub('',bdate[0])))
return date.isoformat()
def text2int(textnum, numwords={}):
if not numwords:
units = [
"zero", "one", "two", "three", "four", "five", "six", "seven", "eight",
"nine", "ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen",
"sixteen", "seventeen", "eighteen", "nineteen",
]
tens = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety"]
scales = ["hundred", "thousand", "million", "billion", "trillion"]
numwords["and"] = (1, 0)
for idx, word in enumerate(units): numwords[word] = (1, idx)
for idx, word in enumerate(tens): numwords[word] = (1, idx * 10)
for idx, word in enumerate(scales): numwords[word] = (10 ** (idx * 3 or 2), 0)
current = result = 0
for word in textnum.split():
if word not in numwords:
return 0
scale, increment = numwords[word]
current = current * scale + increment
if scale > 100:
result += current
current = 0
return result + current
def num(s):
s = numb.sub(' ',s)
s = clean(s)
if s is None:
return 0
return int(s)
def clean(s):
return rex.sub(' ',s).strip()
req = requests.get('http://delhiassembly.nic.in/aspfile/whos_who/VIthAssembly/listmembers_VIth_AssemblyWsW.htm')
soup = Soup(req.text,'html.parser')
members = []
mnlink = 'http://www.myneta.info/delhi2015/index.php?action=show_winners&sort=default'
myneta = Soup(requests.get(mnlink).text,'html.parser')
for row in soup.find_all('tr'):
member = {}
if 'Sr. No.' in row.text: #skipping the first one
continue
cells = row.find_all('td')
link = 'http://delhiassembly.nic.in/aspfile/whos_who/VIthAssembly/'+cells[1].find('a')['href']
cls = []
for cell in cells:
cls.append(clean(cell.text))
cells = cls
det = requests.get(link)
ds = Soup(det.text, 'html.parser')
details = []
for line in ds.find_all('tr'):
text = str(line.text)
if len(text.split(':'))<2:
continue
#some complication because of an extra ':'
detail = clean(text.split(':')[1]) if 'Profession'not in text else clean(text.split(':')[2])
details.append(detail)
name = clean(details[0])
neta = None
names = []
for tr in myneta.find_all('tr'):
tds = tr.find_all('td')
if len(tds)!=8:
continue
names.append(tr)
if name.lower() in clean(tds[1].text).lower():
neta = tr
break
if neta is None:
na = clean(name.replace('.',' '))
na = ' '.join(name.split()[1:])
for tr in names:
tds = tr.find_all('td')
if na.lower() in clean(tds[1].text).lower():
neta = tr
break
if neta is None:
old_fuz = -1
new_name = ''
for tr in names:
tds = tr.find_all('td')
new_fuz = fuzz.ratio(name.lower(),clean(tds[1].text).lower())
if new_fuz>old_fuz:
neta = tr
old_fuz = new_fuz
new_name = clean(tds[1].text).title()
name = new_name
bdate = clean(details[6])
member = {
'other_names' : [
{
'name' : clean(cells[1]),
'note' : 'Name with prefix'
}
],
'name' : name,
'email' : clean(cells[6]),
'birth_date' : words2date(bdate),
'image' : 'http://delhiassembly.nic.in/aspfile/whos_who/VIthAssembly/WhosWho/'+ds.find('img')['src'],
'images' : [{'url':'http://delhiassembly.nic.in/aspfile/whos_who/VIthAssembly/WhosWho/'+ds.find('img')['src']}],
'+place_of_birth' : clean(details[7]),
'+constituency' : {
'name':clean(cells[5]).split('(')[0],
'identifier':num(clean(cells[5]).split('(')[1]),
'classification':'constituency',
'+state':'Delhi'
},
'memberOf' : {
'id':clean(cells[2]),
'name':clean(details[2])
},
'+education' : clean(neta.find_all('td')[5].text),
'+education_details': [clean(details[8])],
'+profession' : [clean(details[10])],
'+marital_status' : True if 'married' in clean(details[12]).lower() else False,
'+spouse' : clean(details[13]),
'+children' : {
'female':text2int(details[15].lower()),
'male':text2int(details[16].lower())
},
'source' : 'delhiassembly.nic.in',
'links' : [
{'url':link,'note':'delhiassembly.nic.in'},
{'url':neta.find_all('a')[1]['href'],'note':'myneta.info'}
]
}
contact_details = [
{
'type':'email',
'label':'email',
'value':clean(cells[6])
},
{
'type':'address',
'label':'Residential address',
'value':clean(cells[3])
}
]
phones = clean(cells[4])
for phone in phones.split(','):
contact_details.append({
'type':'phone',
'label':'phone/mobile',
'value':clean(phone)
})
member['contact_details']=contact_details
print(json.dumps(member,sort_keys=True,indent=4))
members.append(member)
data = [
member['birth_date'],
json.dumps(member['+children'],sort_keys=True),
json.dumps(member['+constituency'],sort_keys=True),
json.dumps(member['contact_details'],sort_keys=True),
member['+education'],
json.dumps(member['+education_details'],sort_keys=True),
member['email'],
member['image'],
json.dumps(member['images'],sort_keys=True),
json.dumps(member['links'],sort_keys=True),
json.dumps(member['+marital_status'],sort_keys=True),
member['name'],
json.dumps(member['memberOf'],sort_keys=True),
json.dumps(member['other_names'],sort_keys=True),
member['+place_of_birth'],
json.dumps(member['+profession'],sort_keys=True),
member['source'],
member['+spouse']
]
c.execute('insert into data values (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)',data)
conn.commit()
c.close()