Subversion Repositories SmartDukaan

Rev

Rev 10503 | Rev 11217 | Go to most recent revision | Details | Compare with Previous | Last modification | View Log | RSS feed

Rev Author Line No. Line
10503 kshitij.so 1
import urllib2
2
from BeautifulSoup import BeautifulSoup
3
import re
4
 
5
class FlipkartScraper:
6
    def __init__(self):
7
        self.count_trials = 0
8
 
9
    def read(self, url):
10
        request = urllib2.Request(url)
11
        request.add_header('User-Agent', 'Mozilla/5.0 (X11; Linux i686) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/13.0.782.218 Safari/535.1')
12
        opener = urllib2.build_opener()
13
        response_data = ""
14
        try:
15
            response_data = opener.open(request).read()
16
 
17
        except urllib2.HTTPError as e:
18
            print 'ERROR: ', e
19
            print 'Retrying'
20
            self.count_trials += 1
21
 
22
            if self.count_trials < 3:
23
                return self.read(url)
24
 
25
        self.response_data=response_data
26
 
27
    def createData(self):
28
        page=self.response_data.decode("utf-8")
29
        self.soup = BeautifulSoup(page,convertEntities=BeautifulSoup.HTML_ENTITIES)
30
        return self.scrape(self.soup)
31
 
32
 
33
    def scrape(self,soup):
34
        info = []
35
        oddSeller = soup.findAll("div" , {"class" : "line seller-item odd "})
36
        for data in oddSeller:
37
            temp={}
38
            price = data.find('span', attrs={'class' : re.compile('pxs-final-price.*')}).string.strip('Rs.').strip()
39
            temp['sellingPrice']=float(price)
40
            for sellerInfo in data.findAll("div",{"class":re.compile(".*seller-info*")}):
41
                sellerName = sellerInfo.find('a').string
42
                temp['sellerName'] = sellerName
43
            for metrics in data.find("div",{"class":"fk-text-right"}):
44
                try:
45
                    inputTags = metrics['data-lst-buytrend']
46
                except TypeError:
47
                    continue
48
                dataMetrics = metrics['data-listing-metrics']
49
                try:
50
                    buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')
51
                except ValueError:
52
                    buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')
53
                temp['buyTrend']=buyTrend
54
                dataMetric = dataMetrics.split(';')
55
                sellerCode = dataMetric[0]
56
                temp['sellerCode']=sellerCode
57
                temp['sellingPriceMetric'] = float(dataMetric[1])
58
                temp['shippingTime'] = dataMetric[3]
59
                temp['sellerScore'] = int(dataMetric[4])
60
                info.append(temp)
61
        evenSeller = soup.findAll("div" , {"class" : "line seller-item even "})
62
        for data in evenSeller:
63
            temp={}
64
            price = data.find('span', attrs={'class' : re.compile('pxs-final-price.*')}).string.strip('Rs.')
65
            temp['sellingPrice']=float(price)
66
            for sellerInfo in data.findAll("div",{"class":re.compile(".*seller-info*")}):
67
                sellerName = sellerInfo.find('a').string
68
                temp['sellerName'] = sellerName
69
            for metrics in data.find("div",{"class":"fk-text-right"}):
70
                try:
71
                    inputTags = metrics['data-lst-buytrend']
72
                except TypeError:
73
                    continue
74
                dataMetrics = metrics['data-listing-metrics']
75
                try:
76
                    buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')
77
                except ValueError:
78
                    buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')
79
                temp['buyTrend']=buyTrend
80
                dataMetric = dataMetrics.split(';')
81
                temp['sellerCode'] = dataMetric[0] 
82
                temp['sellingPriceMetric'] = float(dataMetric[1])
83
                temp['shippingTime'] = dataMetric[3]
84
                temp['sellerScore'] = int(dataMetric[4])
85
                info.append(temp)
86
        return info
87
 
88
if __name__ == '__main__':
89
    scraper = FlipkartScraper()
11193 kshitij.so 90
    scraper.read('http://www.flipkart.com/ps/MOBDPF4ZS43WXV3R')
10503 kshitij.so 91
    print scraper.createData()
92