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import urllib2from BeautifulSoup import BeautifulSoupimport refrom sys import exitclass FlipkartScraper:def __init__(self):self.count_trials = 0def read(self, url):request = urllib2.Request(url)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')opener = urllib2.build_opener()response_data = ""try:response_data = opener.open(request).read()print "Fetched response from flipkart for %s" %(url)except urllib2.HTTPError as e:print 'ERROR: ', eprint 'Retrying'self.count_trials += 1if self.count_trials < 3:return self.read(url)self.response_data=response_datareturn self.createData(url)def createData(self,url):page=self.response_data.decode("utf-8")self.soup = BeautifulSoup(page,convertEntities=BeautifulSoup.HTML_ENTITIES)page = Noneself.response_data = Noneprint "Soup created from flipkart data for %s" %(url)return self.scrape(self.soup,url)def scrape(self,soup,url):info = []oddSeller = soup.findAll("div" , {"class" : "line seller-item odd "})for data in oddSeller:temp={}try:businessDays = data.find('span', attrs={'class' : re.compile('fk-deliverable.*')})shippingTime = businessDays.find('span', attrs={'class' : re.compile('fk-bold')}).string.replace('to','').replace('business days.','').strip().replace(' ','-')temp['shippingTime']=shippingTimeexcept:passprice = data.find('span', attrs={'class' : re.compile('pxs-final-price.*')}).string.strip('Rs.').strip()temp['sellingPrice']=float(price)for sellerInfo in data.findAll("div",{"class":re.compile(".*seller-info*")}):sellerName = sellerInfo.find('a').stringtemp['sellerName'] = sellerNamefor metrics in data.find("div",{"class":"fk-text-right"}):try:metric = metrics.findAll('input', {'type': 'submit'})except AttributeError:continuetry:inputTags = metric[0]['data-lst-buytrend']except TypeError:continuedataMetrics = metric[0]['data-listing-metrics']try:buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')except ValueError:buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')temp['buyTrend']=buyTrenddataMetric = dataMetrics.split(';')sellerCode = dataMetric[0]temp['sellerCode']=sellerCodetemp['sellingPriceMetric'] = float(dataMetric[1])if not temp.has_key('shippingTime'):print "Populating shipping time from metrics"temp['shippingTime'] = dataMetric[3]temp['sellerScore'] = int(dataMetric[4])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.')try:businessDays = data.find('span', attrs={'class' : re.compile('fk-deliverable.*')})shippingTime = businessDays.find('span', attrs={'class' : re.compile('fk-bold')}).string.replace('to','').replace('business days.','').strip().replace(' ','-')temp['shippingTime']=shippingTimeexcept:passtemp['sellingPrice']=float(price)for sellerInfo in data.findAll("div",{"class":re.compile(".*seller-info*")}):sellerName = sellerInfo.find('a').stringtemp['sellerName'] = sellerNamefor metrics in data.find("div",{"class":"fk-text-right"}):try:metric = metrics.findAll('input', {'type': 'submit'})except AttributeError:continuetry:inputTags = metric[0]['data-lst-buytrend']except TypeError:continuedataMetrics = metric[0]['data-listing-metrics']try:buyTrend = inputTags[0:str(inputTags).index('NWSR')].replace('_','')except ValueError:buyTrend = inputTags[0:str(inputTags).index('WSR')].replace('_','')temp['buyTrend']=buyTrenddataMetric = dataMetrics.split(';')temp['sellerCode'] = dataMetric[0]temp['sellingPriceMetric'] = float(dataMetric[1])if not temp.has_key('shippingTime'):print "Populating shipping time from metrics"temp['shippingTime'] = dataMetric[3]temp['sellerScore'] = int(dataMetric[4])info.append(temp)print "Returning Json response from flipkart for %s" %(url)return infoif __name__ == '__main__':scraper = FlipkartScraper()print scraper.read('http://www.flipkart.com/ps/ACCDSN84XXH5P9WG')