Subversion Repositories SmartDukaan

from BeautifulSoup import BeautifulSoup

import re

from sys import exit

from dtr.utils.utils import fetchResponseUsingProxy

headers = { 

           'User-agent':'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11',

            'Accept' : 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',      

            'Accept-Language' : 'en-US,en;q=0.8',                     

            'Accept-Charset' : 'ISO-8859-1,utf-8;q=0.7,*;q=0.3',

            'Cookie':'T=TI141257426738726661427143281839817329423126740566618323641725716448; __sonar=7237334677420142002; __gads=ID=c8b82101a0e4f451:T=1412574724:S=ALNI_MbPMbEOZj2nAGjM54z8ZHFMqwTOTQ; FK-CMP-DATA=; SN=2.VI11FB3FB6ED9D4693A796AB8C965B3417.SI802C325AC43444858830E870C4FD3324.VS141257426735693951472.1412576209; VID=2.VI11FB3FB6ED9D4693A796AB8C965B3417.1412576209.VS141257426735693951472; NSID=2.SI802C325AC43444858830E870C4FD3324.1412576209.VI11FB3FB6ED9D4693A796AB8C965B3417; __utma=19769839.709301254.1412574234.1412574234.1412574234.1; __utmb=19769839.23.10.1412574234; __utmc=19769839; __utmz=19769839.1412574234.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); s_cc=true; gpv_pn=SellerListing%3AMobile%3AMicromax%20Canvas%20Fire%20A093; gpv_pn_t=no%20value; s_sq=%5B%5BB%5D%5D; s_ppv=36',

            'Host':'www.flipkart.com',

            'Accept-Encoding' : 'gzip,deflate,sdch'

        }

class FlipkartScraper:

    def __init__(self):

        self.count_trials = 0

        self.redirectCount = 0

    def read(self, url):

        try:

            """quick fix,need to add it conf""" 

            response_data = fetchResponseUsingProxy(url, headers)

        except Exception as e:

            print 'ERROR: ', e

            print 'Retrying'

            self.count_trials += 1

            if self.count_trials < 3:

                return self.read(url)

        self.response_data=response_data

        return self.createSoup(url)

#    def scrapeRedirectedPage(self,soup,redirect_url):

#        print soup

#        print redirect_url

#        t = soup.find("div" , {"class" : "seller-table fk-user-select-none line"})

#        print t

#        table_rows = t.findAll("tr" , {"class" : re.compile('t-row.*')})

#        print table_rows

#        for x in table_rows:

#            print x

#    

    def createSoup(self, url):

        print "Creating soup from flipkart data for %s" %(url)

        page=self.response_data.decode("utf-8")

        self.soup = BeautifulSoup(page,convertEntities=BeautifulSoup.HTML_ENTITIES)

        page = None

        self.response_data = None

        print "Soup created from flipkart data for %s" %(url)

        return self.scrape(self.soup,url)

    def scrape(self,soup,url):

        print "Inside json creator for %s" %(url)

        info = []

        buyBoxInfo = []

        oddSeller = soup.findAll("div" , {"class" : "line seller-item odd "})

        for data in oddSeller:

            temp={}

            price = data.find('span', attrs={'class' : re.compile('pxs-final-price.*')}).string.strip('Rs.').strip()

            temp['sellingPrice']=float(price)

            for metrics in data.find("div",{"class":"fk-text-right"}):

                try:

                    metric = metrics.findAll('input', {'type': 'submit'})

                except AttributeError:

                    continue

                try:

                    inputTags = metric[0]['data-lst-buytrend']

                except TypeError:

                    continue

                dataMetrics = metric[0]['data-listing-metrics']

                dataMetric = dataMetrics.split(';')

                temp['sellingPriceMetric'] = float(dataMetric[1])

                try:

                    temp['shippingFee'] = float(dataMetric[2])

                except:

                    temp['shippingFee'] = 0.0

                try:

                    buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')

                except ValueError:

                    buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')

                temp['buyTrend']=buyTrend.strip()

                temp['sellingPrice'] = temp['sellingPrice'] + temp['shippingFee']

                if temp['buyTrend'] in  ('PrefNCheap','PrefCheap'):

                    buyBoxInfo.append(temp)

                info.append(temp)

        evenSeller = soup.findAll("div" , {"class" : "line seller-item even "})

        for data in evenSeller:

            temp={}

            price = data.find('span', attrs={'class' : re.compile('pxs-final-price.*')}).string.strip('Rs.')

            temp['sellingPrice']=float(price)

            for metrics in data.find("div",{"class":"fk-text-right"}):

                try:

                    metric = metrics.findAll('input', {'type': 'submit'})

                except AttributeError:

                    continue

                try:

                    inputTags = metric[0]['data-lst-buytrend']

                except TypeError:

                    continue

                dataMetrics = metric[0]['data-listing-metrics']

                dataMetric = dataMetrics.split(';')

                temp['sellingPriceMetric'] = float(dataMetric[1])

                try:

                    temp['shippingFee'] = float(dataMetric[2])

                except:

                    temp['shippingFee'] = 0.0

                try:

                    buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')

                except ValueError:

                    buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')

                temp['buyTrend']=buyTrend.strip()

                temp['sellingPrice'] = temp['sellingPrice'] + temp['shippingFee']

                if temp['buyTrend'] in  ('PrefNCheap','PrefCheap'):

                    buyBoxInfo.append(temp)  

                info.append(temp)

        print info

        print "==========="

        print buyBoxInfo

        print "Returning Json response from flipkart for %s" %(url)

        return info, buyBoxInfo

if __name__ == '__main__':

    scraper = FlipkartScraper()

    x, z = scraper.read('http://www.flipkart.com/ps/MOBDUZSYZCA7HDYW')

    for y in x:

        print y

    print "==========="

    for t in z:

        print t