-
Notifications
You must be signed in to change notification settings - Fork 0
/
scraper.py
123 lines (98 loc) · 3.82 KB
/
scraper.py
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
from lxml import html
from lxml.etree import tostring
import requests
from BeautifulSoup import BeautifulSoup
import re
import scraperwiki
import HTMLParser
import os
header = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:32.0) Gecko/20100101 Firefox/32.0',}
url_base = os.environ['MORPH_URL']
url_base_page = url_base + 'page1'
page = requests.get(url_base_page, headers=header)
tree = html.fromstring(page.content)
num_of_pages = int(tree.xpath('//*[@class="oldalszam"][last()]')[0].text)
database = []
age = []
cost = []
j = 0
for i in range(num_of_pages):
print (i + 1, "/", num_of_pages)
url = url_base + "page" + str(i+1)
page = requests.get(url, headers=header)
tree = html.fromstring(page.content)
links = tree.xpath('//*[contains(concat(" ", normalize-space(@class), " "), " talalati_lista_head ")]')
prices = tree.xpath('//*[contains(concat(" ", normalize-space(@class), " "), " arsor ")]')
years = tree.xpath('//*[contains(concat(" ", normalize-space(@class), " "), " talalati_lista_infosor ")]')
felszereltseg = tree.xpath('//*[contains(concat(" ", normalize-space(@class), " "), " felszereltseg-nyomtatas ")]')
kilometers = tree.xpath('//*[contains(concat(" ", normalize-space(@class), " "), " talalati_lista_infosor ")]')
for idx, price in enumerate(prices):
try:
price_string = price[0].text[:-3]
except Exception as inst:
print(inst)
continue
try:
act_price = int(re.sub("\.", '', price_string))
except Exception as inst:
print(inst)
continue
soup = BeautifulSoup(tostring(links[idx]))
act_link = soup.find('a').get('href')
try:
soup = BeautifulSoup(tostring(years[idx]))
text = soup.text
pattern = "(\d{4}|\d{4}\/\d*) "
act_year = re.findall(pattern, soup.text)
if len(act_year) == 0:
act_year = '0'
else:
act_year = act_year[0]
if ';Dízel' in text:
act_motor = 'Diesel'
elif 'Benzin' in text:
act_motor = 'Benzin'
else:
act_motor = 'nincs adat'
pattern_kobcenti = '(\d{4}) cm³'
act_kobcenti = re.findall(pattern_kobcenti, soup.text)
if len(act_kobcenti) == 0:
act_kobcenti = '0'
else:
act_kobcenti = act_kobcenti[0]
pattern_loero = '(\d{2,3} LE)'
loero_tmp = re.findall(pattern_loero, soup.text)[0]
if len(loero_tmp) == 0:
act_loero = '0'
else:
act_loero = loero_tmp.replace(' LE', '')
except Exception as inst:
print(inst)
act_year = '0'
act_loero = '0'
act_kobcenti = '0'
act_motor = 'nincs adat'
try:
soup = BeautifulSoup(tostring(felszereltseg[idx]))
act_felszereltseg = HTMLParser.HTMLParser().unescape(soup.text[19:])
except IndexError:
act_felszereltseg = ''
try:
soup = BeautifulSoup(tostring(kilometers[idx]))
act_kilometer = soup.find('abbr').string.replace(' km', '')
except IndexError:
act_kilometer = '0'
data = {
'index': j,
'link': act_link,
'year': act_year,
'price': act_price,
'kilometer': act_kilometer,
'felszereltseg': act_felszereltseg,
'motor': act_motor,
'kobcenti': act_kobcenti,
'loero: ': act_loero
}
#print(act_link, act_year, act_price, act_kilometer, act_felszereltseg, act_motor, act_kobcenti, act_loero)
scraperwiki.sqlite.save(unique_keys=['index'], data=data)
j+=1